Trabajos analytics engineer en ManchesterCrear alertas

Hi 👋 I’m _, Director of Engineering, Europe. How do you feel about engineers writing product specs, making product decisions, and not breaking down projects into individual tickets? If that sounds exciting (even if a bit scary), read on because I’m looking for an engineering manager to help us build a different type of engineering team and culture at Ashby. To start, why do we need to be different? Time and again, I have witnessed engineers knowing what needs to be done yet being unable to get things done because of “the process” or because “more data is needed.” Some of the most effective projects have been skunkworks projects, where engineers have taken total ownership of a problem and driven it to completion. I want to normalize that at Ashby. When we think about how these processes came about, we realize they carry a pessimistic mindset. They box people into smaller roles to minimize the chance of not meeting a certain standard. At Ashby. we’re building an environment that is optimistic about what engineers can own and achieve and embraces the innovative engineers (and frankly, often stays out of their way). To accomplish this, our engineering leaders need to think deeply about individual performance, process, and culture - not running sprint planning or driving product and technical decisions. You’ll focus on building your team, their skills to thrive with the ownership they’re given, and an environment that empowers them to do their best work consistently, with little distraction. For junior EMs we try to stay within 6 direct reports. This enables them to spend time with our teams observing, correcting, praising, and, yes, coding. We like our managers to be hands-on while also making sure they’re not on the critical path. We’ve already gathered an_ of 25+ engineers. You’ll help me manage the growing team of engineers in Europe. In addition to working with engineers you’ll also get to work on projects yourselves. Some examples of work our engineering leaders have done: Provide feedback on product and technical specs to help engineers identify where to cut scope or improve quality. You don’t make the final decisions, but you’ll influence and coach ICs to reach the right ones. Grow engineers to the point where they can take large, loosely defined projects, and deliver them with little intervention. They still ask for help when needed - the difference is that they’re driving. Jump into our systems and code to debug a customer issue, ship a small bug fix, or improve our developer experience. Engineering leaders at Ashby are great engineers and enjoy keeping their skills up-to-date (while staying off the critical path). Improve how we generate and simulate data in demo accounts. It’s a project off the critical path, but it helps you keep up-to-date on our codebase while immensely impacting the business, from Engineering to QA to Sales. I had two experiences early in my career that set me on my path. I had a great manager who asked tonnes of questions about the decisions I was making and coached me without me realizing it. And I had a terrible manager - being told to work harder after a week of 3am finishes was not what I needed as a young engineer. The stark difference between these two experiences motivated me to become a manager: I wanted every engineer I worked with to have the support I had in the best case. Since then, as I’ve learned more, I’ve realized that I love the kind of problems I get to solve as a manager. Deeply complex problems with long-term impact both on the company and on people’s lives. One of my proudest achievements is creating a fully transparent pay system, and on the day it was revealed, everybody was happy with it. Nobody stormed out. By spending time thinking deeply about everybody’s pay and ensuring the mechanics of promotion were clear, I put the team in a place where they could see a peer was paid more than them, and it not be a problem. Despite all this, I love being technical. I sometimes indulge myself and spend a morning writing some code to improve tests or provide better abstractions. If I couldn’t be a manager, I’d be super happy to be an IC. I’m looking for someone who is passionate. Passionate about both management and being technical. Someone who spots a pattern amongst their team, figures out a better way for us to operate, and then builds the automation that powers it. I introduced a new process that enables engineers to merge 30% of PRs without a human review beforehand. I also built the automation that approves these PRs. I also built that automation with abstractions that make it easy for the engineers to improve the automation themselves. It can be hard to find seasoned engineering leaders who haven’t succumbed to the status quo in some way or another. We're committed to giving all our people a total and utter lack of terrible managers, and that means we're willing to take a chance on someone early in their leadership journey who's courageous, principled, and has the drive to build themselves into a great leader who can say “Yah I know everyone is doing that, but we won't because...” Engineering leadership comes in many flavors, not all of which fit our model. I thought I’d outline some things I’m looking for to help you decide if this fits what you’re looking for: You love being technical and can hold in-depth conversations with direct reports from infra to backend to frontend. You enjoy management problems. We want people who get excited about driving people to be their best, giving difficult feedback, and building systems that make this easier You hold your team to a high standard and don’t shy away from getting into the details and giving feedback, even to the best folks on your team. You are an excellent and empathetic communicator. Facilitating change at both an individual and organization level requires understanding how to navigate the beliefs, opinions, and past experiences of engineers and figuring out how to both convince them of a new way of doing things while also leaving yourself open to feedback. You know what exceptional engineers look like. You’ve thought deeply about what makes them tick, how to recruit them, and how to grow folks into them. I want to see depth here, the industry often regurgitates a vanilla description, but the reality is more nuanced. You’re good at thinking about product, business, and maybe even design, but you’re not interested in calling the shots and are more interested in building a team that can make the best decisions without you. You thrive in high-trust, high-autonomy environments. We're a young startup where leaders wear multiple hats, and you'll build your own (high-speed) on-ramp through developing strong feedback loops. Put another way, you shouldn’t apply if: You don’t enjoy coding or don’t find time to stay up-to-date on technology. You’ve gotten into management because it was the only growth path available You want to make all the product decisions instead of empowering your team to make those calls. You're happy with a team of engineers that are predominantly early-career, mid-career, or don't thrive with ownership or autonomy. With enough guardrails, the team can get things done. A staff or principal engineer to you is someone who spends most of their time project managing or doing architecture reviews. You’re not optimistic or convinced that we can build a large engineering team that functions differently than the status quo. You think, at some size, common processes need to be implemented to ensure consistent product delivery (e.g., sprint planning, product managers writing in-depth specifications). You might not say it out loud, but you think, at some size, compromises have to be made for the sake of hiring numbers. Talent teams aspire to build a hiring process that identifies great candidates, moves them quickly through the interview process, and provides an excellent experience for the candidate. To accomplish this, recruiters perform thousands of daily tasks to coordinate and relay information between candidates, interviewers, and hiring managers. Teams struggle to keep up! Scheduling a final round is an excellent example of our customers' challenges. A recruiter needs to collect availability from the candidate, identify potential interviewers, perform “Calendar Tetris” to find who is available to interview the candidate, schedule on the earliest date possible, and perform any last-minute adjustments as availability changes. They must perform this while considering the interview load on each individual and whether interviewers need to be trained and shadowing others. 🥵 Ashby provides talent teams with intelligent and powerful software that provides insights into where they’re failing and automates or simplifies many of the tasks they’re underwater with. We put a lot of effort into designing products that are approachable to beginners but mastered and extended by power users. In many ways, spreadsheets set the bar here. We have many customers, great revenue growth, years of runway, and amazing investors like YCombinator, Elad Gil, and Lachy Groom. I’ll share more once we meet. Our engineering culture is motivated by and ’s (our co-founders) belief that a small talented team, given the right environment, can build high-quality software fast (and work regular hours!). Our engineering team (and the team at large) consists of lifelong learners who are humble and kind (meet them !). These attributes create an environment where collaboration happens naturally (we filter for it in interviews). We combine this with research, prototyping, and written proposals to see around corners and get feedback from the team across time zones. Focus time is something that we hold sacred, and, with thoughtful and deliberate communication, engineers can focus 36h out of a 40h work week (Abhik wrote about it ). Even managers can rely on getting consistent time (and support to make, if necessary) to focus and do creative work without the demand of constant meetings. We built Ashby with the quality, breadth, and depth that many customers would expect from much larger teams over larger time scales. We’ve done this through investment in: Great developer tooling. Our CI/CD takes ~10m, and we deploy at least 5x a day. Everyone on the team has contributed to developer experience 💪🏾 Building blocks to create powerful and customizable products fast. At the core of Ashby is a set of common components (analytics modeling and query language, policy engine, workflow engine, design system) which we are constantly improving. Each improvement to a common component cascades throughout our app (short video on it _). Here’s an impromptu quote from Arjun in our company Slack of what it’s like to build a feature at Ashby: And a demo of one of these building blocks: We, as engineers, find clever ways to solve problems, which amplifies when we deeply understand the problem. All of us in technical leadership did our best work as engineers when we had a deep understanding of the end-user and the business and ownership over the solution. Our engineering culture reflects this experience: engineers own projects end-to-end, from speaking with users to writing product specs to UX design. These are skills that we often don’t get to practice as engineers, and, as a manager at Ashby, you’ll provide mentorship and feedback to engineers to ensure they are successful when delivering projects. Diverse teams_. As the father of two young girls, I want to see them grow up in a world where all industries are open and welcoming to everyone, regardless of race, gender, or preferences. Helping to build a more diverse team at Ashby is my way of contributing to this change. Today, 26% of engineers at Ashby are from underrepresented groups. It’s not great, and we are taking conscious steps to improve, like sourcing diverse candidates, providing generous paid family leave, no leetcode interviews, and more. At Ashby, our team and interview process want to help you show your best self. We’ll dive into past projects and simulate working together. Our interview process is six interviews in the following order: Intro Call (30m) - Discuss your application questions, align on the responsibilities of the role, and answer questions about Ashby. Past Experience Deep Dive (1h) - Discuss your past experience as an engineering leader. Technical Screen (1h) - Add a feature back to Ashby. You'll spend most of your time understanding a specific part of our codebase and write less than 15 lines of code. Coffee Chat with VP of Engineering (1h) - Spend time with our VP of Engineering and get to know each other. Meet the Team (2h) - At this point, the engineering leadership team is excited about you and you'll meet our CEO, Engineers, Product Managers, and some other folks on the team. I will be your main point of contact and prepare you for interviews. If we don’t give an offer, we’ll provide feedback! I’m sharing our tech stack with the caveat that we don’t require previous experience: TypeScript (frontend & backend), Node.js, React, Apollo GraphQL, Postgres, Redis. Competitive salary and equity. 10-year exercise window for stock options. You shouldn’t feel pressure to purchase stock options if you leave Ashby —do it when you feel financially comfortable. Unlimited PTO with four weeks recommended per year. Expect “Vacation?” in our one-on-one agenda until you start taking it 😅. Generous equipment, software, and office furniture budget. Get what you need to be happy and productive! $100/month education budget with more expensive items (like conferences) covered with manager approval. Ashby’s success hinges on hiring great people and creating an environment where we can be happy, feel challenged, and do our best work. We’re being deliberate about building that environment from the ground up. I hope that excites you enough to apply. Ashby provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity, or gender expression. We are committed to a diverse and inclusive workforce and welcome people from all backgrounds, experiences, perspectives, and abilities.

.NET Development Manager - Global Sports Company - Wakefield, West Yorkshire (Tech stack: .NET Development Manager, .NET 9, C#, Blazor, Azure, JavaScript, HTML5, CSS3, Agile, Developer, Programmer, Full Stack Engineer, Architect, Team Leader, Technical Lead, Head of Software Engineering, CTO, .NET Development Manager) Our client is a global sports brand that operates in over 115 countries worldwide. They are the biggest sports company in Europe and the second largest on the planet! Over the past 30 years they have been providing high performance athletes with the tools they need to remain at their peak. They are looking to branch out and take a foothold in the sports science arena. In particular, they are looking to move into the field of high performance data analytics. They are aiming to help athletes utilize the latest sport science technology to analyze their performance and help them raise their game. They have recently signed ground breaking sponsorship deals with several high profile sports teams and national athletics squads. They are seeking a talented .NET Development Manager to grow and lead their award winning .NET development team. Although you will not be expected to code in this role you will be working very closely with their architects, making high levels technical decisions. As such you should have sound of of technologies that include .NET 9, .NET Core / ASP.NET MVC, C#, Blazor, EF Core, Azure, JavaScript, HTML5, CSS3, Agile, TDD, BDD and Azure SQL. This position comes with the following benefits: • 15% bonus, • Generous pension, • Private healthcare, • Training allowance of £9,700 per year, • Free lunch, • Free gym membership, • Flexible working hours, • 27 days holiday (Bank Holidays not included) This is an opportunity for you to make a technical contribution to a possible gold medal or even champions league title! Location: Wakefield, West Yorkshire, UK / Remote Working Salary: £80,000 - £95,000 + Bonus + Pension + Benefits Applicants must be based in the UK and have the right to work in the UK even though remote working is available. Noir continues to be the leading Microsoft recruitment agency; we can help you make the right career decisions! NOIRUKTECHREC NOIRUKREC

Who are OnBuy? OnBuy are an online marketplace who are on a mission of being the best choice for every customer, everywhere. We have recently been named one of the UK's fastest-growing tech companies in the Sunday Times 100 Tech list. All achievements we are very proud of, but we don't let that go to our head. We are all laser focused on our mission and understand the huge joint effort ahead of us needed to succeed. Working at OnBuy: We are a team of driven and motivated people who thrive when working at pace. To succeed at OnBuy you need to take charge and fully own your responsibilities, rolling your sleeves up when needed to 'get it done'. Working at OnBuy you are surrounded by so much opportunity, but you must possess the ability to stay focused and prioritise ruthlessly. Most importantly, you will thrive in an ever-changing environment as we are constantly evolving. At OnBuy, you're not just a number or another cog in a machine. We are creating something really special, and you have the opportunity to affect meaningful change and have your voice heard. We are a close team, who have the opportunity to learn and grow as OnBuy evolves. About the Role We’re building a more intelligent, scalable product catalogue across multiple markets. Core capabilities like auto-categorisation and brand detection already exist, but they are not yet connected into a system that consistently drives quality, discovery, and growth. This role owns that system. The Senior Applied ML Engineer - Catalogue Intelligence is responsible for building the machine learning systems that power OnBuy’s catalogue decisioning engine. Working in partnership with the Head of Seller Solutions, who defines catalogue rules and commercial logic, you will design and deploy production-grade systems that automatically improve: • Product categorisation, • Product data quality and completeness, • Pricing competitiveness insights, • Catalogue coverage and selection, • Product discoverability This is a hands-on, production-focused role where outputs directly modify the live catalogue and materially impact GMV, conversion performance, search, and discovery. Core mission Turn catalogue rules and commercial logic into automated, data-driven systems that continuously improve discovery, data quality, pricing competitiveness, and revenue outcomes. What you’ll be responsible for You’ll take ownership of how product data is structured, validated, and used across the platform. This includes: • Improving how we classify and understand products at scale, • Raising the overall quality of catalogue data and defining what “good” looks like, • Ensuring product data supports effective search, filtering, and discovery, • Identifying gaps in our catalogue and surfacing opportunities for growth, • Improving how our catalogue performs across external channels, • You’ll build and evolve the systems and decision logic that enable this, and iterate based on real-world performance and data. You’ll work across: • Structured data (catalogue attributes, GTINs, taxonomy), • Unstructured data (text and images), • Behavioural data (search, clicks, conversions) How you’ll work You’ll build directly using SQL and Python on top of: · BigQuery · Airbyte · Google Datastream You’ll be working across data pipelines, information extraction, and production ML systems, combining rules, heuristics, and ML/LLMs where appropriate. The focus is on shipping practical systems quickly, validating them with real data, and improving them over time. You’ll work closely with engineering, product, and analytics, but you’ll be expected to own and deliver the core logic yourself. This role is not focused on research or offline modelling. You’ll be expected to build systems that operate in production and directly influence how products appear and perform on the platform. Experience & Skills • Experience building and shipping production data or ML systems with measurable business impact, • Strong Python and SQL skills, with the ability to work across data pipelines end-to-end, • You should be comfortable applying modern approaches such as LLMs, multimodal models, and information extraction techniques, and taking them from experimentation into production with proper evaluation, monitoring, and cost control., • Experience working with messy, unstructured or semi-structured data (e.g. text, images, product data), • Ability to design systems that make decisions, not just predictions, • Strong judgement in balancing accuracy, risk, and business impact, • Experience with ecommerce or marketplace catalogues is a plus, but not required. How you’ll operate • Take ownership of problems end-to-end, from idea through to production impact, • Build systems that are scalable, testable, observable, and auditable, • Design automation with confidence thresholds, monitoring, and feedback loops in mind, • Maintain clear documentation, evaluation frameworks, and versioning for models and logic, • Work pragmatically, favouring simple solutions that deliver impact quickly, • Communicate trade-offs clearly to technical and non-technical stakeholders, • You should be comfortable working in environments where data is incomplete, inconsistent, and constantly evolving., • You’ll be working across cloud-based data systems (GCP), building and deploying data pipelines and production ML workflows. Experience with orchestration tools (e.g. Airflow or similar), CI/CD, and model deployment practices is beneficial. The salary on offer for this role is £65000- £75000 depending on experience. We also offer the following benefits: • Company Equity- In return for helping us to grow, we’ll offer you company equity, meaning you own a piece of this business we are all working so hard to build., • 25 days annual leave + Bank Holidays, • 1 extra day off for your Birthday, • Employee Assistance Programme, • Perks at Work benefit platform, • Opportunities for career development and progression This role is UK remote or Hybrid if you live near our Manchester or Bournemouth's offices. Please only apply if you have the full right to work in the UK Our Commitment OnBuy is an equal opportunities employer. We are dedicated to creating a fair and transparent workforce, starting with a recruitment process that does not discriminate on the basis of gender, sexual orientation, marital or civil partnership status, pregnancy or maternity, gender reassignment, race, colour, nationality, ethnic or national origin, religion or belief, disability, or age. Just a heads up — we never use WhatsApp. or any messaging apps to contact candidates If someone reaches out this way, it isn’t us and let the recruitment team know.

Digital Product Manager • Full time permanent role, • Hybrid (West London 3 days a week), • Salary up to £70,000 plus 25 days holiday and London travel/commuting paid A successful West London business is currently looking for an experienced Digital Product Manager to join its IT function. This exciting new role will focus on digital application management and managing a team to deliver enhancements and future automation based on business needs. Duties will include: • Managing internal team of Low Code Developer and Data Engineer, • Working with 3rd party vendors and internal team to deliver low-code applications and data warehousing across the Microsoft Power Platform, • Gathering user and business requirements, • Change management and chairing CAB, • Improving efficiency through automating solutions, • Oversee system enhancements and software upgrades, • Oversee data engineering process - ETL/ELT pipelines with Azure Data Factory, • Drive development of Snowflake Data Warehouse, • Digital roadmap development, • IT projects To be considered suitable you will need the following skills/experience: • Understanding of the Microsoft Power Platform, • Understanding of SDLC, • Team management, • Strong requirements gathering experience, • Budget management and reporting, • Vendor management, • BI and Analytics (QlikSense) reporting, • Exposure to automation/AI

_ mission is enabling the world to connect, communicate and collaborate securely without compromise. COVID-19 has made our mission all the more real. We support customers across various enterprises including Fortune 500 companies, 9/10 of the largest global banks and the Department of Defense. The world has fundamentally changed. We are growing from 400 employees into the next phase of our journey, and we need passionate talent filled with empathy and agility. The right candidate for the job is ethical, hyper-organized, fanatical about seeing things through to completion, service-oriented, and humble enough to take feedback and coaching yet confident enough to provide feedback and coaching. Menlo is well-funded for growth and our investors are second to none. They include Vista Equity Partners (“_”), General Catalyst, JPMC, American Express, HSBC, and Ericsson Ventures. About the Role Menlo Security is seeking an experienced Senior Software Engineer to join the Service Delivery team. The position is full-time and either remote (UK time zone) or based from our Bracknell, UK office. Service Delivery plays an integral role in optimizing how internal teams interact with our platform for customer provisioning, management and analytics; by focusing on building robust APIs and microservices that work together. Within Service Delivery you will use your strong technical ability to design and drive the introduction of new features and services, as well as evolve and maintain the existing suite of applications. RESPONSIBILITIES Use your creative mindset to design and develop novel solutions utilising a RESTful approach to APIs and building asynchronous HTTP services. Maintain and evolve our current portfolio of services that support our internal and external customers. Critically analyse and optimise our services and frameworks to ensure performance at scale. Deliver code in a repeatable and scalable manner, maintaining a high level of excellence for delivering quality software. MINIMUM QUALIFICATIONS BS/BA or relevant experience preferred At least 7 years experience in Software Engineering EXPERIENCE & SKILL Strong proficiency with Python and asynchronous services, ideally using a framework such as Tornado, Twisted or asyncio Strong understanding of building cloud native solutions in GCP, AWS or other Clouds Experienced with containerization and Kubernetes. Proficient with RESTful APIs and experienced with microservice architectures. Experience of using Linux You are steadfastly focused on your customers, and preferably have experience working with engineers as customers You possess a keen sense of ownership and responsibility, being able to design creative solutions and communicate them effectively You enjoy working in a collaborative environment, and you’re committed to driving projects to completion You show technical leadership and are keen to mentor and support others. Ability to write clean, concise and maintainable code Strong written and verbal communication skills Proactive, ambitious, and strong ability to learn new things Highly organized and detailed with critical attention to detail and documentation Experience with NodeJS would be desirable MSGL-I4 Follow us on _! Why Menlo? Our culture is collaborative, inclusive, and fun! We have five core values: Stay Aligned, Get It Done, Customer Empathy, Think Creatively and Help Each Other Out. We believe in open communication, supporting new ideas, and sharing a mutual mindset of what we’re aiming to achieve together. There are tremendous opportunities to take initiative, implement new ideas, and have a hand in building a legacy. All qualified applicants will receive consideration for employment without regard to race, sex, color, religion, sexual orientation, gender identity, national origin, protected veteran status, or on the basis of disability. TO ALL AGENCIES: Please, no phone calls or emails to any employee of Menlo Security outside of the Talent organization. Menlo Security’s policy is to only accept resumes from agencies via Ashby (ATS). Agencies must have a valid services agreement executed and must have been assigned by the Talent team to a specific requisition. Any resume submitted outside of this process will be deemed the sole property of Menlo Security. In the event a candidate submitted outside of this policy is hired, no fee or payment will be paid.

Senior AI Engineer Manager/Associate Director | Capital Markets\n\nLocation: Manchester\nWorking pattern: Hybrid\nSalary: Compensation aligned to experience and seniority\nRef: J13116\n\nSenior AI Engineering professionals are required to support the design, build and delivery of advanced AI solutions within financial services and capital markets environments.\n\nThis role would suit an experienced professional with a strong background in AI engineering and enterprise solution delivery within complex environments. You will play a key role in shaping AI strategy, leading teams and delivering enterprise AI solutions, helping organisations solve complex operational, technical and regulatory challenges through AI adoption at scale.\n\nYou will work across multidisciplinary teams, collaborating with data scientists, architects, MLOps/LLMOps engineers, business stakeholders and senior leadership to design, deliver and scale AI products, agentic AI solutions and data driven applications.\n\nKey responsibilities:\n·Building and deploying AI prototypes, products and production ready solutions\n·Designing and implementing end to end AI solutions that integrate with enterprise systems\n·Working with LLMs, prompt engineering, RAG patterns, embeddings and fine tuning\n·Developing AI agents and agentic workflows using modern frameworks\n·Working with vector databases, APIs and modern data platforms\n·Supporting AI deployment, serving patterns, evaluation frameworks and integration design\n·Using Python and SQL to build robust, scalable AI and data solutions\n·Working with cloud platforms such as AWS, Azure, GCP or Databricks\n·Supporting MLOps, LLMOps, CI/CD and software engineering best practice\n·Collaborating with technical and non-technical stakeholders across complex programmes\n·Helping identify technical, delivery, security, data privacy and regulatory risks\n·Contributing to technical documentation, solution design and delivery planning\n·Supporting AI implementation and scaling initiatives across complex environments\n·Leading and developing teams, supporting capability growth through mentoring, coaching and creating a collaborative, high performing environment\n\nExperience Required:\n·Strong Python and SQL experience\n·Applied AI engineering, ML engineering or software engineering background\n·Experience with LLMs, RAG, embeddings, prompt engineering or fine tuning\n·Exposure to LangChain, LangGraph, Agent Development Kit or similar agent frameworks\n·Experience with vector databases such as Pinecone, Chroma or similar\n·API development experience, ideally with FastAPI or similar frameworks\n·Knowledge of MLOps, LLMOps, CI/CD or production deployment practices\n·Experience designing or supporting evaluation frameworks for AI or agentic systems\n·Experience working with modern data architectures and cloud platforms\n·Understanding of AI risk, governance, security and regulatory considerations\n·Financial services experience within capital markets or broader banking environments\n\nThis is a strong opportunity for an AI engineering professional who wants to work on high impact AI and data transformation programmes within complex financial services environments.\n\nAlternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme.\n\nDatatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data UK. For more information visit our website: (url removed) <(url removed)

About Us: DOHE is a global EdTech championing group headquartered in Singapore, with a branch in the United Kingdom.We are on a mission to transform education by leveraging technology responsibly to enhance educational quality and foster meaningful societal progress. We are building EdTech Hub, a global ecosystem designed to empower startups, foster collaboration, and strengthen innovation across the education sector worldwide.Through our Go-Together Accelerator Programme, we support EdTech founders in turning their vision into reality through tailored coaching and strategic support. Guided by our proprietary Navigator methodology, we create structured and efficient pathways to success for education innovators. Over the next decade, our ambition is to accelerate more than 5,000 EdTech startups globally Find out more _ EdTech Hub IT Team The EdTech Hub IT Team powers the digital foundation of our ecosystem. We design, build, and maintain secure, scalable, and reliable technology infrastructure that enables startups, partners, and stakeholders to collaborate seamlessly. From platform development and data management to cybersecurity and system optimisation, our team ensures that innovation is supported by strong and future-ready technology. By combining technical expertise with a deep understanding of the EdTech landscape, we help create an environment where startups can focus on growth — while we take care of the technology that drives it. We are building a high-impact core team of 9 professionals across engineering, product, and design. Detailed Job Descriptions are available for each role. Establish the design system on a modern framework and build the entire frontend for five portals plus EdTech Hub. Implement role-based access control and create interactive UIs that surface AI-generated reports and matching results. · Build all 5 portals and EdTech Hub frontend from scratch · Establish a shared component library and Design System · Implement role-based access control and authentication integration · Develop complex workflow UIs — multi-step approval, coaching sessions, diagnosis questionnaires · Build AI integration screens — report viewer, expert matching, recording uploads · Create monitoring dashboards, cohort tracking, and analytics views About Us DOHE는 싱가포르에 본사를 두고 영국에 지사를 운영하는 글로벌 EdTech Championing Group으로, 에듀테크 스타트업이 사회적 가치를 만들고 글로벌로 성장할 수 있도록 에코시스템 (EdTech Hub) 구축 , 글로벌 액셀러레이션 프로그램 (Go-Together) , 데이터 기반 Methodology(Naviagator)를 제공하는 에드테크 전문 그룹입니다. 현재 EdTech Hub, Go-Together 등 내부 핵심 업무 시스템을 고도화하며 글로벌 팀과 함께 일할 시스템 엔지니어를 찾고 있습니다. EdTech Hub IT Team EdTech Hub는 전 세계 에듀테크 스타트업 커뮤니티를 지원하고, 교육 혁신 생태계 전반의 협력을 강화하기 위해 설계된 글로벌 플랫폼입니다. DOHE Global은 현재 전 세계 스타트업의 성장을 지원하는 통합 EdTech Hub 플랫폼을 처음부터 새롭게 구축하고 있습니다. 우리는 이 혁신적인 여정을 함께할 9개의 핵심 포지션에 합류할 전문 인재를 찾고 있습니다. 모던 프레임워크를 기반으로 디자인 시스템을 수립하고, 5개 포털과 EdTech Hub 전체 프론트엔드를 구축합니다. 역할별 접근 제어를 구현하고, AI 백엔드가 생성한 리포트와 매칭 결과를 사용자에게 전달하는 인터랙티브 UI를 만듭니다. · 5개 포털 및 EdTech Hub 프론트엔드를 신규 개발합니다 · 공통 컴포넌트 라이브러리와 Design System을 구축합니다 · 역할별 접근 제어와 인증 연동을 구현합니다 · 다단계 승인, 코칭 세션, 진단 설문 등 복잡한 워크플로우 UI를 개발합니다 · AI 리포트 뷰어, Expert 매칭 결과, 녹취 업로드 등 AI 연동 화면을 구현합니다 · 모니터링 대시보드, 코호트 추적, Analytics 화면을 개발합니다 · · Senior frontend engineer · Significant relevant experience of building large-scale services with React / Next.js · Hands-on TypeScript experiences · State management and REST API / GraphQL integration experience · Responsive web and cross-browser experience · Business-level English fluency required — daily collaboration with a global team · Design systems purist. You obsess over component consistency and reusability, and build systems hand-in-hand with designers. · Complexity simplifier. You have a talent for turning multi-step processes into UIs users navigate without friction. · Ecosystem explorer. You actively explore the evolving frontend landscape and experiment with new approaches. · Multi-persona empath. You understand the context of five distinct user groups and design the right experience for each. Language TypeScript Framework Next.js 14+ (App Router) UI React · shadcn/ui · Tailwind CSS · Radix UI State Zustand · TanStack Query Testing Vitest · Playwright Deploy Vercel · Netlify Tooling Figma · GitHub · Cursor 시니어 프론트엔드 엔지니어 · React / Next.js 기반 대규모 서비스 개발 4년 이상 · TypeScript 실무 경험 · 상태 관리와 REST API / GraphQL 연동 경험 · 반응형 웹과 크로스 브라우저 대응 경험 · 비즈니스 수준의 영어 커뮤니케이션 능력 필수 — 글로벌 팀과의 일상적 협업 · 디자인 시스템에 진심인 분. 컴포넌트의 일관성과 재사용성에 집착하고, 디자이너와 긴밀하게 시스템을 함께 만들어가는 분입니다. · 복잡함을 단순하게 만드는 분. 다단계 프로세스를 사용자가 헤매지 않는 UI로 풀어내는 데 재능이 있는 분입니다. · 최신 생태계에 열려 있는 분. 프론트엔드 생태계의 변화를 적극 탐구하고, 새로운 접근법을 실험하는 분입니다. · 다섯 가지 사용자를 공감하는 분. 서로 다른 사용자 그룹 각각의 컨텍스트를 이해하고, 최적의 경험을 설계하는 분입니다. Language TypeScript Framework Next.js 14+ (App Router) UI React · shadcn/ui · Tailwind CSS · Radix UI State Zustand · TanStack Query Testing Vitest · Playwright Deploy Vercel · Netlify Tooling Figma · GitHub · Cursor Employment: • Working hours: Full-time 40 hours a week., • Location: Remote - South Korea based, • Contract: Fixed Term Contract

Company Overview IMS is a leader in connected car and telematics services. We provide services and analytics to insurers, governments, and enterprises. We are proud to be the developer of the industry-acclaimed, cloud-based connected car platform. From insurers and governments to dealerships and everyday drivers, we’re proud to produce technology that makes driving - Safer. Smarter. Greener. Job Description The Senior Platform Engineer is a technical leader responsible for designing, operating, and continuously improving the AWS serverless data platform. This role sits at the intersection of infrastructure, software engineering, and developer experience — owning the reliability and scalability of the platform while actively enabling product and data engineering teams to build and ship confidently. Key Responsibilities Platform Tooling & Self Service • Design and maintain self-service tooling, templates, and scaffolding that allow engineers to provision and deploy serverless resources independently., • Own and evolve internal developer platform (IDP) capabilities — including CI/CD pipeline templates, Infrastructure as Code (IaC) modules, and reusable Lambda/Step Functions patterns., • Reduce cognitive overhead for engineers by abstracting platform complexity behind well-documented, opinionated interfaces., • Partner with engineering teams to gather feedback and continuously improve the developer experience. Engineering Standards & Technical Documentation • Produce and maintain high-quality technical documentation, runbooks, and architectural decision records (ADRs) for the platform., • Define and evangelise engineering standards for serverless development, including naming conventions, logging patterns, error handling, and observability., • Lead or contribute to internal tech talks, workshops, and onboarding programmes to upskill engineers on platform capabilities. Collaboration & Stakeholder Engagement • Act as a trusted technical partner to product and data engineering squads, embedding platform expertise into delivery teams as needed., • Define clear SLAs and SLOs for platform services and communicate them to consuming teams., • Triage and resolve platform-related blockers rapidly, prioritising unblocking engineers over reactive maintenance work. Security & Compliance • Ensure platform infrastructure adheres to security best practices including least-privilege IAM, encryption at rest and in transit, and secrets management., • Collaborate with security and compliance stakeholders to maintain audit readiness and address vulnerabilities promptly., • Embed security considerations into platform tooling so that secure defaults are the path of least resistance for engineers. Infrastructure as Code & Delivery • Own and evolve IaC for all platform infrastructure using tools such as Terraform, AWS CDK, or CloudFormation., • Enforce GitOps and CI/CD best practices across platform delivery, ensuring changes are peer-reviewed, tested, and deployed safely., • Champion progressive delivery practices — including feature flags, canary deployments, and rollback mechanisms — across the platform. Continuous Improvement • Drive a culture of continuous improvement through regular platform reviews, blameless post-mortems, and iterative delivery., • Measure and report on engineering metrics to demonstrate and drive improvement., • Contribute to the broader engineering community through internal knowledge sharing, cross-team collaboration, and participation in guild or chapter activities. Key Requirements • WS Serverless & Cloud Architecture Deep, hands-on experience with the core serverless stack — Candidate should be able to design pipelines with cost, latency, and failure modes in mind, not just get things working. Knowledge of AWS IAM, VPC, and security patterns is equally important., • Python (Primary) & Java (Secondary) Strong Python skills are essential — not just scripting, but writing production-quality, testable, maintainable code. Candidate needs to be credible enough to review Python code written by the teams they support. Java familiarity matters for legacy pipeline work and cross-language debugging, but doesn't need to be at the same depth., • Infrastructure as Code Proficiency in Terraform is a must. Candidate should be building reusable, well-structured IaC modules — not one-off configurations — and comfortable working in a GitOps model with peer-reviewed, pipeline-deployed infrastructure., • CI/CD & Developer Platform Thinking Experience building and maintaining CI/CD pipelines The key mindset here is thinking about other engineers as your customers, and building tooling that reduces friction and cognitive load., • Observability & Operational Maturity Comfortable with CloudWatch, and ideally a third-party observability tool. They should understand SLOs and error budgets beyond the theory — and know how to design alerting that's actually actionable rather than noisy., • Communication & Developer Empathy Given the developer enablement focus, this is crucial. Candidate needs to write clear documentation, give useful feedback in code reviews, and explain complex infrastructure decisions to non-platform engineers. Strong written communication matters as much as verbal., • Security Mindset Practical knowledge of least-privilege IAM, secrets management and how to bake secure defaults into platform tooling so teams don't have to think about it. Why should you join us? • Flexible remote working options., • Flexible holiday scheme (unlimited vacation) to really make the most of your time and wellbeing., • 'Work From Anywhere' Policy - work almost anywhere in the world for 30 days per year!, • Employee Assistance Program and an enhanced maternity/paternity package, • We want to see you grow and do great things! We’re committed to your personal and professional development., • Funded training opportunities., • Auto-Enrolment Pension & Private Medical Insurance., • Cycle to Work and Car Maintenance Salary Sacrifice discounts!, • Kudos Hub - a peer-to-peer recognition system, where you can recognise others using points. These points can be collected and redeemed against a huge catalogue of rewards., • We’re an innovative technology leader with plans for growth in the global telematics industry. These are some exciting times! *Please note that while we accommodate a remote working environment, this hire will need to be based in the United Kingdom.

Dataiku is The Universal AI Platform™, giving organizations control over their AI talent, processes, and technologies to unleash the creation of analytics, models, and agents. Providing no-, low-, and full-code capabilities, Dataiku meets teams where they are today, allowing them to begin building with AI using their existing skills and knowledge. Why Engineering at Dataiku? Dataiku’s on-premise, cloud, or SaaS-deployed platform connects many data science technologies, and our technology stack reflects our commitment to quality and innovation. We integrate the best of data and AI tech, selecting tools that truly enhance our product. From the latest LLMs to our dedication to open source communities, you'll work with a dynamic range of technologies and contribute to the collective knowledge of global tech innovators. You can find out even more about working in Engineering at Dataiku by taking a look_. Here are some useful links so you preview what we do at Dataiku: ; , you can also take a look at the _, a public instance showcasing some example projects (note editing is very limited and will be regularly reset). Our product is called Dataiku DSS which stands for Dataiku Data Science Studio. If you’d like to know more about it, you can watch the demo or try the free version . How you’ll make an impact This position is either onsite/hybrid from our London office or full remote from any part of the UK. As a Fullstack Engineer, you’ll contribute to building Dataiku DSS core features by joining one of the following themes: • Data Preparation: Develop tools for data integration, transformation, and cataloging, as well as Jupyter notebooks, SQL workbenches, and APIs., • Add new capabilities for data integration, transformation, and visualization using LLMs, • Optimize workflows for large-scale datasets and improve database support, • Strengthen developer tools like Jupyter notebooks and SQL workbenches, • Tech stack: Java, Python, AngularJS, Angular, • Data Visualization: elevate our data visualization capabilities with high-performance charting tools and dashboards., • Develop new chart types and optimize visualization performance, • Enhance dash boarding capabilities to deliver fast and flexible experiences, • Tech stack: React, AngularJS, Angular, D3.js, ECharts, Node.js, Java, Spring, • AI & Machine Learning: Collaborate on next-gen AI features, from statistics and time series forecasting to LLM inference., • Build next-generation features like cross-provider LLM APIs or integration with the latest Machine Learning models, • Collaborate with research teams on innovative machine learning experiments, • Tech stack: Python, scikit-learn, TensorFlow, PyTorch, Java, Angular, AngularJS, • MLOps: Develop back-end capabilities for automating and monitoring ML model lifecycles while supporting cross-functional collaboration., • Build tools to automate retraining, monitoring, and deployment of ML models, • Enhance collaboration features for ML stakeholders, • Tech stack: Python, Java, Angular, Angular.JS, Kubernetes, Docker, • Platform: Focus on scaling and securing the platform while improving cloud integrations and supporting a wide array of data sources and engines., • Optimize processing engines for scalability and latency, • Expand capabilities to support new databases and cloud platforms, • Tech stack: Java, Python, Angular, Kubernetes, Spark, AWS, Azure, GCP, • AI Governance: Build features for AI compliance, connecting disparate systems and simplifying governance processes., • Develop customizable platforms for managing AI compliance and governance, • Simplify policy enforcement and integration across disparate systems, • Tech stack: Java, Angular, PostgreSQL What you need to be successful • We’re stack agnostic, so all you need is a significant experience in software engineering, building a real product, • We’re hiring at all levels (junior, mid, senior), • A passion for combining backend performance with exceptional frontend user experience., • You want to work in a fast-paced, high-growth environment that values diversity of talent, excellence of product, and exciting engineering challenges at scale What does the hiring process look like? • Initial call with a member of our Technical Recruiting team (45min), • Video call with an Engineering Team Lead (1h30), • Technical Assessment to show your skills (Home Test or Live Coding), • Final Interviews with our VPs of Engineering (2h) #LI-Remote What are you waiting for! At Dataiku, you'll be part of a journey to shape the ever-evolving world of AI. We're not just building a product; we're crafting the future of AI. If you're ready to make a significant impact in a company that values innovation, collaboration, and your personal growth, we can't wait to welcome you to Dataiku! And if you’d like to learn even more about working here, you can visit our _. Our practices are rooted in the idea that everyone should be treated with dignity, decency and fairness. Dataiku also believes that a diverse identity is a source of strength and allows us to optimize across the many dimensions that are needed for our success. Therefore, we are proud to be an equal opportunity employer. All employment practices are based on business needs, without regard to race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. This applies to all policies and procedures related to recruitment and hiring, compensation, benefits, performance, promotion and termination and all other conditions and terms of employment. If you need assistance or an accommodation, please contact us at: _ Protect yourself from fraudulent recruitment activity Dataiku will never ask you for payment of any type during the interview or hiring process. Other than our video-conference application, Zoom, we will also never ask you to make purchases or download third-party applications during the process. If you experience something out of the ordinary or suspect fraudulent activity, please review our page on identifying and reporting fraudulent activity _

Our Ways of Working Principles: We believe that most of us do our best work when we work together, but we know that everyone works in different ways, and quite frankly, has other commitments and responsibilities outside of work.As we further adjust to hybrid working, we want to take what we've learnt from working remotely and keep the flexibility that's enabled us to thrive and keep driving our business forward. We have some core principles which support us in this:Do what’s rightTrust & give permissionDelivery matters We understand ways of working can look different based on your role, team and you as an individual so we are here to support and discuss this with you during the interview process. Work with us At Moonpig Group our mission is to help people connect and create moments that matter. We’re an international group made up of three brilliant brands – Moonpig in the UK, Ireland, US and Australia, and Greetz in the Netherlands – with our newest addition Buyagift joining us in 2022. We were founded with a goal to disrupt the traditional greetings industry. Two decades on, we’re an established leader within the online gifting market, offering a wide range of products to customers across the world. Moonpig is an iconic brand and innovator, with clear values (read more about our values _). These values set our teams and our business up for success in an environment that’s fun, supportive and challenging. They’re the glue that binds us together and we think of them as a platform to help us deliver our best work. You have every chance to drive impact here at Moonpig, and most importantly, we genuinely want you! Our architecture is built for scale and flexibility which will allow us to quickly innovate and launch new propositions - coupling that with the wealth of data we have on our customers, the sky's the limit in the world of experimenting with cutting edge ideas. About the role We're currently looking for a mid level Software Engineer to join our Platform Enablement Team. This role will be focussed primarily on the core web platform. Leveraging your experience of building a Serverless deployed multi-app React and Next.JS platform, streamline build workflows using Turborepo, and implement robust frontend testing practices. Additionally, you’ll maintain the GraphQL gateway and support our experimentation platform, Eppo. Please note this team works primarily remotely, so we are open to candidates across the UK or the Netherlands that are able to come to one of our head office locations in London, Manchester or Almere from time to time, when required to do so by the business. • Develop and enhance the web platform and related supporting services (e.g., WAF, CDN via CloudFront and GraphQL API Gateway)., • Actively maintain, troubleshoot, and optimize platform reliability and performance, • Providing advice and consultation to engineering., • Contribute proactively to defining platform and technology standards, continuously evolving what “good” looks like and suggesting what's next., • Drive Meaningful Developer Impact: Our goal is to enhance the developer experience by prioritising high-value initiatives that remove friction, improve efficiency, and empower teams. We focus on clear planning while remaining adaptable to evolving engineering needs., • High Quality: Collaborate with stakeholders to deliver secure, scalable, maintainable, and high-performance solutions, all while maintaining a fast delivery pace., • Community Mindset: Engage with the engineering community within Moonpig, sharing knowledge and contributing to the continuous improvement of our practices., • Open-Mindedness: Strive for improvement by being open to feedback, giving constructive feedback to others, and being willing to try new ideas. This openness is key to our ongoing success., • Growth: Be actively engaged in your own growth, embracing challenges while feeling supported in your role., • Experience with TypeScript, React, NextJS, modern CSS frameworks and Apollo GraphQL., • You are comfortable collaborating with cross team Engineers and with Agile methodologies., • Have an interest in the platform and infrastructure part of the frontend stack., • You have experience writing documentation, whilst understanding the audience to deliver key points and provide clarity on technical topics., • Ability to coordinate, communicate and present project requirements and outcomes to the wider engineering teams, • Understanding event based architecture is a plus., • Programming Languages: TypeScript, • Frameworks/Libraries: React, Next.js, Apollo GraphQL, Modern CSS frameworks, • Cloud & Infrastructure: AWS (Lambda, API Gateway, CloudFront, WAF, Route53), Terraform/OpenTofu, • Practices: Experimentation (A/B/n Testing), • Other: CICD Tool (e.g. Github Actions) We don’t expect you to have experience with all of the technologies above. As long as you have experience with most of the above and cloud/serverless technologies, please apply! • Kanban, • Jira / Confluence, • Grafana and AWS Cloudwatch, • Google Analytics, • Clean Architecture, • TDD, • Pair Programming, • Focus on experimentation to validate our hypothesisWant to hear more? Find out more about Moonpig Group and what it has to offer _! Moonpig’s Commitment to Equality, Diversity and Inclusivity At Moonpig Group, we’re committed to creating an inclusive and caring culture with brilliant people who feel a real sense of belonging. We welcome and celebrate all diverse backgrounds to Moonpig Group, from working parents who need flexibility with their hours to individuals who are neurodiverse and prefer to work a certain way.We’re proud to have several employee-led committees within our organisation, including the LGBTQ+, Gender Balance, Neurodiversity and our EMBRACE (Educating Myself for Better Racial Awareness and Cultural Enrichment) Committees.We’ll continue to push for diversity and that sense of belonging so that all Moonpig Group employees feel safe and comfortable to be their true authentic self at work.

Shape the Industry and Your Career At Cytora, now an Applied Systems company, we’re transforming how insurers and brokers connect, operate, and grow. Our AI-powered platform is driving smarter decisions, greater efficiency, and seamless collaboration across the global insurance ecosystem. As we accelerate digital transformation, we’re looking for curious, collaborative minds ready to help shape what’s next. If you’re energized by innovation and inspired by impact, your future starts here. Position Overview As a Senior Backend Engineer at Cytora, you will be joining a backend functional team. As such, the teams are small (maximum 4/5 people) and work independently of each other. Each team has a technical lead and a product owner steering the team to make sure we deliver the right features. Regardless of team you join, you will be prototyping, implementing, shipping and supporting features that are changing the insurance industry. The core of our product is to digitize risks and to accomplish that we rely heavily on Generative AI. Our engineering and product teams are distributed across Europe. Below you can find the required and preferred qualifications. We made this list quite extensive so that you also get a taste of our tech stack! This role requires experience with: Git (we use GitHub) Python (buzzwords: msgspec, httpx, pydantic, fastapi, structlog, sqlalchemy, alembic, jinja2, pytest, ruff, mypy) Mypy (we use mypy, a lot. We also welcome candidates with experience with other static type checkers!) Rest APIs (we use openapi spec to document our apis) Relational Databases (we use Postgres) Docker (we use Docker to package our code, and docker-compose to run it locally) AWS Lambda (The vast majority of our backend code is deployed as AWS Lambda functions) AWS S3 AWS RDS AWS API Gateway AWS SQS AWS SNS AWS SES This role benefits from experience with: Redis GCP VertexAi (we use gemini a lot) GCP BigQuery (we use it to power our analytics) OCR engines (we use AWS Textract, GDocAI, and we have used tesseractOCR in the past) Prompt Engineering Kubernetes CircleCI DataDog Auth0 Role Based Access Control JsonSchema Pusher (we use it to push notifications to our Frontend Web App) LocalStack (we use it to mock AWS services locally) Terraform Why Cytora We’re building the future of insurance and we’re doing it together. At Cytora, now an Applied Systems company, we’re driven by a shared mission to transform the industry through AI-powered solutions that deliver smarter decisions, stronger connections, and better outcomes. We foster a culture that values who you are and recognizes that you’re more than your role: you’re a teammate, and you matter. We thrive on the strength of our diverse experiences and celebrate the uniqueness each person brings to work every day. We believe flexibility fuels performance. Whether remote, hybrid, or in-office, we empower our teams to work in ways that work best for them. Here’s what you can expect when you join us: Competitive salary Flexible working and remote options Professional development budget & conference access Annual company retreats A mission-driven culture that puts people first Location Cytora are a remote-first company. For this role you can be based anywhere in the UK or Ireland provided you have fluent spoken and written English, and have the permanent right to work without requiring visa sponsorship. AI Utilization We leverage AI tools to streamline parts of our recruitment workflow (such as resume parsing and interview scheduling). However, candidate screening, interviews, and final decisions are conducted by real humans. EEO Statement Applied Systems is proud to be an Equal Employment Opportunity Employer. Diversity and Inclusion is a business imperative and is a part of building our brand and reputation. At Applied, we don’t discriminate, and we are committed to recruit, develop, retain, and promote regardless of race, religion, colour, national origin, sex, sexual orientation, gender identity, disability, age, veteran status, and other protected status as required by applicable law.

Our client is looking for Junior and Middle level Data Engineer to join the teams. 1 day in office every 3 months. Permanent, salary is £45k- £65k depending on experience Job Details: • Develop, document and maintain robust processes that transform and clean data for input into a variety of live systems and analytical workflows, • Liaise with colleagues across the business to elaborate requirements for new data products and translate these into technical plans, • Maintain process quality and robustness through coding best practice, including version control, documentation and peer review, • Investigate and elaborate data issues to help drive continuous improvement in data quality, • Migrate Legacy processes to new data platforms, • Learn new tools and techniques to support data processing and analytics as we expand our toolkit Skills we would love you to have: • Minimum 2:1 in a relevant technical degree., • A good understanding of database architecture and querying using SQL., • A sound understanding of data transformation and cleaning., • Programming experience using any language such as Python., • Understanding of Microsoft Azure, Power BI and Snowflake only need skills in SQL, Cognos and a data visualization tools like Tableau, Power BI or Qlik, • 2- 4 years experience, good communication to work across functional team

Job Title: AI Engineer Location : Edinburgh UK Work mode : Hybrid Experience: 8 + Years Key Responsibilities: Design, develop, and deploy end-to-end AI/ML solutions from data ingestion to production. Build and optimize ML/DL models for NLP, computer vision, recommendation systems, and predictive analytics. Implement and maintain MLOps pipelines (CI/CD for ML) for scalable deployment and monitoring. Collaborate with cross-functional teams (data scientists, engineers, product managers) to define AI-driven solutions. Research and integrate Generative AI (LLMs, diffusion models, transformers) into real-world applications. Drive data strategy, including data collection, preprocessing, and feature engineering. Optimize models for performance, scalability, and cost-effectiveness in cloud/on-prem environments. Mentor junior engineers and contribute to best practices in AI development. Required Skills & Qualifications: Strong proficiency in Python and AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn, Hugging Face). Hands-on experience with NLP (LLMs, transformers, embeddings, vector databases). Deep understanding of neural networks, reinforcement learning, and generative models. Experience with cloud platforms (AWS, GCP, Azure) and MLOps tools (MLflow, Kubeflow, Airflow, Docker, Kubernetes). Strong knowledge of SQL/NoSQL databases and data engineering practices. Soft Skills: Excellent problem-solving, communication, and leadership abilities.

Job Title: Ada CS Engineer Location: Remote, UK, with regular travel to Cambridge Salary: £39,000 to £45,000 p.a. Full-time equivalent, dependent on experience Basis: Permanent, Full-time, part-time or flexible Eligibility: You must be eligible to work in the UK The role The Raspberry Pi Foundation is working in collaboration with the University of Cambridge to deliver _, a free and accessible learning platform for computing teachers and students in the UK. We are looking for a motivated and proactive software engineer to join the Ada Computer Science development team and work on the development and maintenance of a key component of the UK’s computer science curriculum delivery. You will be working within a University of Cambridge development team and will represent the Raspberry Pi Foundation’s interest. You will be a key person in creating a shared understanding between the two organisations. This role is a chance for significantly more independence and autonomy than typical for this level of experience. The work you will do is open source and can be found on Github at _. You will be working to improve and develop resources and experiences for teachers and students and will have a unique chance to impact computer science education throughout the UK for both young people and educators. You will develop software in Java and React to enable learning experiences, as well as managing the software delivery and infrastructure that runs Ada Computer Science. You will be working with a supportive, collaborative, and agile team of software engineers from the University of Cambridge, product designers and managers from the Raspberry Pi Foundation and expert computer science educators. We work hard to make sure that the Foundation is a place where everyone is supported to do the best work of their careers. We have a flexible and collaborative approach to all aspects of our work. If you're the right person for the job, we’ll make it work for you, and you can be confident that you’ll be joining an exceptional team of people who care about our mission and each other. Responsibilities This role has the following responsibilities. • Design and implement Ada CS site features in collaboration with product teams and designers from the Raspberry Pi Foundation and the University of Cambridge., • Organise release testing and perform deployments, • Respond to support tickets, • Support product teams with requests for data and insights, • Manage on-premises servers maintained by the University of Cambridge, • Participate in our on-call rotation within business hours There are also opportunities to lead in specific domains, such as: • Testing strategy and approach, including Visual Regression Testing., • Building and deployment, managing the CI/CD pipeline and approach, • Developing analytics for key stakeholders, including managing the analytics infrastructure Experience and personal attributes We recognise that everyone has the potential for growth. We welcome applications from candidates who can demonstrate that they have some, but not necessarily all, of the experience and personal attributes listed here. • Great written and verbal communication skills, • Proactivity and strong self-management skills, • Professional development experience in React, Java and Python, • Experience with Docker, Docker compose and containerisation, • Experience with a relational database systems (e.g. MySQL, PostgreSQL, MongoDB), • Experience with software delivery and CI/CD, • Experience with software service metrics and monitoring tools such as Grafana, Plausible and Apache Superset., • Familiarity with Linux server administration and networking, • Experience directly interacting with end users, replying professionally to queries and questions, • Enthusiasm for growing the next generation of Computer Scientists and for educational outcomes in Computer Science About us The Raspberry Pi Foundation is an independent charity with a global mission to enable all young people to realise their full potential through the power of computing and digital technologies. We empower schools to teach computer science and AI literacy through free curricula, classroom resources, purpose built software tools, and professional development for teachers. We inspire young people to become tech creators through the world's largest networks of coding clubs. We undertake original research that informs our work and which we use to advance the field of computer science education more broadly. All of our resources and learning experiences are available for anyone to use at no cost. We are particularly focused on creating opportunities for young people who experience educational disadvantage and those who come from backgrounds traditionally underrepresented in technology industries. Over the past decade, we have supported hundreds of thousands of educators and tens of millions of students. We have teams in six countries (India, Ireland, Kenya, South Africa, the UK and US) and partnerships with mission-aligned non-profit organisations in over 60 countries. We are at the forefront of the global educational movement to expand access to computer science education and AI literacy. You can learn more about our work in our latest Annual Report. Benefits In addition to competitive salaries, we offer a wide range of benefits for all of our colleagues. • Paid time off. In addition to public holidays, full-time employees in the UK receive 25 days of paid annual leave initially, rising to 30 days after five years service, plus 3 additional days of paid leave for the company-wide closure at the end of each year., • Pension. We provide an 8% employer contribution on top of your minimum 4% employee contribution., • Private healthcare. We provide comprehensive private healthcare for all employees through Vitality Plus., • Flexible working. We have clear policies to provide flexibility over when and where you work, helping you balance work responsibilities with the rest of your life., • Support for parents and carers. We provide generous family leave and flexibility for parents and carers., • Life assurance and income protection. We provide life assurance and income protection schemes to provide peace of mind for you and your family., • Investing in learning and development. We invest in your growth and development, including through access to learning resources and training, with dedicated time for all employees., • Travel to work. Through our Cycle-to-Work and Season Ticket Loan schemes we support cost effective and sustainable travel to work. Timetable for applications Closing date: 20th April 2026, 9.00am GMT Phone screen: Week commencing 20th April 2026 First interview: Week commencing 27th April 2026 Second interview: Week commencing 5th May 2026 Our recruitment process All of our workplaces are inclusive spaces where we want people to feel respected, valued, and able to do their best work. We are committed to building teams that bring together people with a broad range of backgrounds, skills, and perspectives. That starts with our recruitment process. Here's what you can expect: • As part of your application, you will be asked to respond to a small number of questions that we will use to screen your eligibility for the role. You will also be asked to provide your cv and a short cover letter., • Eligible applications will be reviewed by our recruitment team and the hiring manager., • A small number of candidates will be invited to a phone call with the hiring manager., • The purpose of this call is to check our understanding of your application and to answer any questions you have., • We normally have two interviews, which may take place in-person. Interviews will be with the hiring manager and at least one other colleague., • You will usually be asked to undertake a work-based assessment in advance of your interviews. This will be an opportunity for you to show how you would perform some part of the role. You will be given advance notice and clear instructions., • If you have any questions about or feel that you need any adjustments to the recruitment process, including adjustments for neurodiversity, please contact our People and Culture team at recruitment@raspberrypi.org. We are committed to safeguarding and promoting the welfare of children and young people, and we expect all staff and volunteers to share this commitment. Everyone appointed to a role at the Foundation will be required to undergo a background check to confirm that you are a suitable person to work with children. Further background checks will be made at regular intervals thereafter.

Technical Account Manager London - Hybrid or UK - Remote About Snowplow Snowplow is the global leader in customer data infrastructure for AI, enabling every organisation to transform raw behavioural data into governed, high-fidelity fuel for AI-powered applications—including advanced analytics, real-time personalisation engines, and AI agents. Digital-first companies like Strava, HelloFresh, Auto Trader, Burberry, and DPG Media use Snowplow to collect and process event-level data in real time, delivering it securely to their warehouse, lake, or stream, and integrate deep customer context into their applications. Thousands of companies rely on Snowplow to uncover customer insights, predict customer behaviours, hyper-personalise customer experiences, and detect fraud in real time. The Opportunity The Technical Account Manager (TAM) sits within our Technical Services team and reports to the Technical Account Management Lead. This customer-facing role blends technical expertise with consultative support, helping customers solve problems and get value from their data using Snowplow. We view customer activation as key to retention and success. TAMs work closely with clients to understand their data goals and design tailored implementations that drive business outcomes. We’re looking for a technically savvy, data-driven individual who thrives in a fast-paced environment and enjoys working with data teams to co-design solutions, implement use cases, and demonstrate impact. The role involves close collaboration with cross-functional teams—Engineering, Product, Sales, Support, and Marketing—to optimise customer strategies and expand use cases. What you'll be doing: ● Partner with various Snowplow team members to support customer accounts, collaborating with them to deliver value within their unique and complex organisations.● Provide consultation and advisory support to customers regarding solutions and use case development, by providing actionable execution of success criteria and solutioning complex problems.● Work with customers to identify, diagnose and resolve technical challenges with their Snowplow solution – including front-end implementation, data modelling, real-time data processing, and more.● Educate and enable our customers through tailored workshops and advisory sessions.● Collaborate with our Solution Architects, to develop and evolve technical assets such as data models, implementation strategies, architectures, and supporting code to bring value to our customers as well as our internal teams.● Develop domain expertise in key verticals through deep customer collaborations, general research and industry events/conferences.● Work closely with the Customer Success and Strategic Account Management teams to develop long-term strategies and roadmaps for activation and adoption of Snowplow’s products. ● Continue learning and staying current with our products and related technologies, to assist and train both customers and other team members We’d Love to Hear From You If Have: ● A solid understanding of the data space - cloud infrastructure, database technologies, visualisation tools and other enabling technologies in the modern data stack.● Experience working either client-side or agency-side as an analyst, analytics engineer, data engineer, data consultant, or data scientist.● SQL and data modelling experience, and proficiency at manipulating data.● Experience with direct management of a customer portfolio for continual successPrevious experience designing and implementing complex software solutions, including gathering/developing requirements and interacting with senior technical stakeholders (e.g. CTO, VP, Tech Lead). ● Previous experience of using Snowplow, (either BDP or open source) is ideal but not required What We Offer You in Return: 💰 A competitive package, including share options🧘 Flexible working🏖 A generous holiday allowance no matter where you are in the world💻 MacBook and home office equipment allowance👪 Enhanced maternity, paternity, shared parental and adoption leave Snowplow is dedicated to building and supporting a brilliant, diverse and hugely inclusive team. We don't discriminate against gender, race, religion or belief, disability, age, marital status or sexual orientation. Whatever your background may be, we welcome anyone with talent, drive and emotional intelligence.

At FPC Global, our people are our greatest asset. We’re a fast-growing, global consultancy where collaboration, innovation, and ambition come together to deliver exceptional outcomes across the full facility lifecycle. Founded in 2014 by our CEO, Dean Francis, we’ve grown into a team of 140+ professionals working across the Americas, EMEA, APAC, and our London headquarters. We partner with clients to deliver integrated, future-focused consultancy services—setting new benchmarks for sustainability, technology, and performance. We believe great ideas can come from anywhere. That’s why we foster a culture where voices are heard, initiative is encouraged, and careers are built with purpose. The Digital Buildings System Engineer is responsible for managing the complete process of onboarding and integrating diverse building management systems (BMS), IoT devices, and facility management solutions into a designated cloud platform. This role is platform-agnostic, designed to work across various hardware and software ecosystems, ensuring seamless data integration and compatibility. Leveraging expertise in building automation technologies and communication protocols, the engineer connects disparate systems regardless of brand or manufacturer, enabling secure and optimized data flow for real-time analytics, remote monitoring, and enhanced operational efficiency. In this highly technical role, you will collaborate with global teams in IT, security, networking, and infrastructure to deliver IoT and cloud-based solutions for a global office portfolio. You’ll demonstrate adaptability by learning and working across multiple cloud environments (AWS, Azure, Google Cloud) and diverse BMS and IoT systems. Success requires a fast learner with strong communication skills, able to respond to shifting priorities and make informed decisions quickly, even with limited information. This role supports digital transformation for smart buildings, creating data-driven, future-ready facility management solutions Key Responsibilities: The responsibilities for this role include: To ensure smooth integration, optimization, and security of applications on cloud platforms. Troubleshoot issues, manage performance, and align cloud solutions with business objectives. Delivery of technical and some non technical (as training and knowledge allows) related engineering Services and projects for clients in accordance with the Proposal, Scope of Work (SoW) and/or Engagement Letter. Manage own workload, communicating and escalating any issues to line manager accordingly • Building System Integration:, • Assess and analyze existing building systems, including BMS, HVAC, lighting, energy, and IoT devices., • Map and document building systems architecture to ensure compatibility with cloud migration strategies., • Cloud Onboarding & Configuration:, • Configure cloud infrastructure to receive and process data from various building systems., • Develop and implement data flow protocols from on-premises building systems to cloud platforms, ensuring data quality and integrity., • Work with cloud platforms (e.g., AWS, Azure, Google Cloud) to set up required services, storage, and data processing pipelines., • Device Qualification and Testing, • Testing, validating, and troubleshooting application drivers across a range of IoT devices and gateways., • Collaborating with device manufacturers to support driver development, improve compliance, and resolve integration issues., • Managing and maintaining devices in an IoT testing lab, including physical installation, setup, configuration, and lifecycle management., • Supporting MSIs with deployment of compliant solutions and onboarding of building systems to Cloud Platforms., • Working with various tools and platform developers to identify defects, suggest improvements, and support feature validation., • Data Management & Security:, • Ensure compliance with cybersecurity and data privacy policies in data transfer and cloud storage., • Implement encryption, authentication, and access control measures to protect building and operational data., • Data Analytics and Reporting, • Analyze system data to generate insights on performance, sustainability, and operations., • Prepare detailed reports on building operations for stakeholders., • Preferred knowledge of Apps Scripts, • Collaboration & Stakeholder Engagement:, • Liaise with IT, facility management, and operations teams to understand building system requirements and constraints., • Provide technical support and training to on-site staff on cloud-based building management tools., • Testing & Troubleshooting:, • Conduct pre- and post-onboarding testing to validate data integrity and system performance., • Identify, troubleshoot, and resolve issues related to data transmission, system compatibility, and network connectivity., • Documentation & Reporting:, • Maintain comprehensive documentation of onboarding processes, system configurations, and cloud settings., • Generate regular reports on onboarding status, system performance, and key metrics, • FPC Responsibilities:, • Represent FPC in a professional manner internally and externally, and achieve a high level of customer satisfaction for all work performed, • Be an effective Digital Building Services team member, communicating with colleagues and working collectively to contribute to the development of Digital Buildings Services Group and the FPC business as a whole, • Report to line manager, acting in accordance with their requests and direction and those of FPC management, • Manage own workload, communicating and escalating any issues to line manager accordingly, • Act in accordance with all FPC employment policies and procedures, including FPC Employee Handbook, Health & Safety and Time and Expenses Reporting, • Carry out any other duties reasonably requested by FPC Management Required Qualifications & Experience Experience • 7+ years of experience in the design and configuration of building automation systems, cloud integration, or IT infrastructure roles., • Hands-on experience in systems integration and related industries such as architecture, design, or construction., • Strong understanding of cybersecurity best practices for cloud integrations., • Knowledge of edge computing and data preprocessing methods for IoT systems. Technical expertise in delivering digital and smart building projects, including: • Digital Building Systems Integration (design, development, and implementation)., • Building Controls Systems & Automation., • Cybersecurity best practices., • Device Qualification and Testing, • IP Networking (IPv4, IPv6, switching, routing, DHCP, WiFi, structured cabling, etc.)., • System Audits & Site Surveys. Education • Bachelor’s degree in Controls Engineering or a related field. Certifications (Preferred but not mandatory) • Experience with BMS systems such as Niagara, Delmatic, Delta, or LoRaWAN. Certifications in these are beneficial., • Cloud platform expertise in AWS, Azure, or Google Cloud, including relevant cloud services (e.g., data storage, IoT hubs). Certifications in these platforms are a plus. At FPC, we’re not just a company—we’re a thriving community where innovation flourishes, ideas are celebrated, and careers are shaped. When you join us, you become part of a dynamic team that: Shapes the Future: Work on groundbreaking projects that are redefining industries with sustainability, cutting-edge technology, and bold ambition. Supports Your Growth: From leadership training to cross-functional collaboration, we prioritize your professional development and empower you to explore new ideas, take initiative, and grow in your career. Values Balance and Inclusion: We celebrate diversity, foster collaboration, and ensure every voice is heard—while maintaining a strong commitment to work-life balance. Creates Impact: Contribute to the delivery of iconic, high-performance buildings and innovative solutions that have a lasting, positive impact on the world.

Senior Data Engineer - Greater Manchester An exciting opportunity has arisen for a Senior Data Engineer to join my client’s dynamic and growing data team. In this role, you will work across the full data lifecycle—streaming, enrichment, and curation—within a cloud-based environment. You will be responsible for ensuring data quality, integrating key data sets, and supporting the insights and data science teams. As part of this role, you will also develop your expertise in Artificial Intelligence (AI) and Machine Learning (ML), with access to advanced training in ML Ops. Additionally, you will play a key role in mentoring and developing junior data engineers. Key Responsibilities: • Automate and maintain data pipelines within a cloud-based environment (AWS/GCP/Azure)., • Source and verify data from multiple sources, ensuring it is ready for ingestion., • Gain experience in data infrastructure and contribute to the development of new cloud-based methodologies., • Analyse large datasets using Python and SQL., • Set up new pipelines for data streaming, enrichment, and curation., • Manage and maintain source code repositories (GitHub)., • Investigate and apply AI/ML solutions to enhance cloud capabilities. Key Skills & Experience: • Strong proficiency in SQL and Python., • Experience in cloud data solutions (AWS, GCP, or Azure)., • Experience in AI/ML., • Experience with PySpark or equivalent., • Strong problem-solving and analytical skills., • Excellent attention to detail., • Ability to manage stakeholder relationships effectively., • Strong communication skills and a collaborative approach. Why Join Us? • Work with cutting-edge technologies in cloud data engineering and AI/ML., • Opportunity for career growth and professional development., • Be part of an innovative and forward-thinking data team. If you are a motivated Senior Data Engineer with a passion for cloud technologies, AI, and data analytics, we’d love to hear from you. Interested? Please Click Apply Now! Senior Data Engineer - Greater Manchester

Hello 👋 Bring your strengths. Raise the bar. Shape the future. We’re looking for a high-performing Senior Full Stack Engineer to join our team and help us build the future of Matomo — the world’s leading open-source web analytics platform that empowers users with full data ownership and built-in privacy. This is more than a coding role — it’s an opportunity to tackle complex challenges at scale, work with a talented and driven team, and help shape how we do engineering as we grow. You'll be working in the heart of our platform — contributing to our core application and plugin ecosystem — and making a meaningful impact on hundreds of thousands of users worldwide. If you thrive in large codebases, get energy from solving hard problems, and are excited by the chance to bring your ideas, passion, and expertise into a high-impact environment, we’d love to hear from you. Roles and Responsibilities 🚀 Engineering Excellence • Design, develop, and maintain robust, secure, and performant software at scale. - Solve tough, technical problems that matter — from performance bottlenecks to architectural improvements. - Navigate and contribute to a mature, complex codebase — and leave it better than you found it. - Write clean, well-tested, maintainable code that your future self and teammates will thank you for. - Share your expertise through code reviews, pairing, and mentoring. Product Collaboration • Work hand-in-hand with product managers and designers to deliver value that delights users. - Challenge assumptions, refine ideas, and bring an engineering perspective to product discussions. - Influence the roadmap by identifying impactful technical opportunities and trade-offs. - Stay close to the “who” and the "why" behind what we build — not just the "what." Shaping Our Growth • Be a culture and quality multiplier — bring energy, curiosity, and a drive to raise the bar. - Help evolve how we work — improving our engineering practices, processes, and standards. - Take initiative in shaping solutions, identifying risks early, and driving delivery forward. - As our company grows, you’ll help define what great engineering looks like at Matomo. About InnoCraft and Matomo 📊 At _, we’re building a more ethical, privacy-first digital world. As the leading open-source web analytics platform, Matomo powers over 1 million websites and apps in 190+ countries, offering organisations the insights they need while maintaining full data ownership and user trust. In Europe, Matomo is particularly popular with public institutions, universities, and companies that take GDPR compliance seriously. As part of our long-term growth, we are expanding our established Europe-based engineering team to support Matomo’s increasing adoption by enterprise and public-sector organisations across Europe. We believe in openness, privacy, and transparency. Every month, our platform processes billions of data points — transforming complex information into intuitive, powerful reports that delight users. Matomo is available in 50+ languages and supported by a global, fully remote community with strong hubs in New Zealand and Europe. If you are interested you can take a look at our Github here: _ Why Matomo 💡 • Privacy-first: Ethical analytics built around GDPR and user trust. - Open Source: Shape a platform used in 190+ countries. - Global team: Work with colleagues across Europe, New Zealand, and Canada. - Established & Growing: Profitable and self-funded, with double-digit growth for 5+ years and a steadily expanding global team. - Fully Remote: 100% work-from-home within United Kingdom with flexible hours. - Career Growth: Clear Engineering Career Development Framework supporting skill progression and leadership growth. - High Calibre Team: Join a collaborative group of experienced engineers focused on innovation and impact. - AI-Empowered Development: Use AI tools and practices to accelerate experimentation, development, and quality. Minimum qualifications 🤓 • You have 8+ years’ experience in software engineering, including full-stack development. - You’re highly competent in PHP and JavaScript, and not afraid of diving deep into a large legacy codebase. - You bring a structured approach to solving complex problems, and thrive in systems with many moving parts. - You’re passionate about building products and not just writing code — you want your work to have real impact. - You’re thoughtful, pragmatic, and care deeply about quality, user experience, and craftsmanship. - You collaborate with humility, communicate clearly, and enjoy learning from others as much as teaching. - You’re sure-footed in a remote environment, and able to build effective working relationships with people on the other side of the world. Bonus points for: • Experience with _ or modern JS frameworks - Familiarity with large-scale open-source systems - Contributions to community projects or mentoring others - Comfort with Linux CLI, databases (MySQL), and Git/GitHub workflows Benefits 💪 • Remote work (save many hours on commute, and save money) - Budget for co-working space or work from home - Home office equipment supplied - Flexible hours - 25 days of paid holidays per year plus your national public holidays - Sick leave - Health Insurance: Your Well-being, Our Priority - A huge “playground” to grow your skill set - Volunteering Day: Empower Your Impact - Bereavement Leave for Pets: Compassion Beyond Boundaries - Training Opportunities - Mental Health Support Services - Opportunity to have an immediate impact on a product that is used by more than 1 million websites and almost 2% of the whole Internet - Opportunity to work in a customer obsessed business, dedicated to building high-quality software with a strong mission of helping people grow their web projects while keeping full control of their data Location 🌍 • 100% Remote work position - Must be Located in United Kingdom Diversity and Inclusion InnoCraft celebrates the things that make you, you! We are an inclusive employer and do not discriminate against any employee or applicant for employment because of race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status or disability. We actively seek diversity in our workplace and embrace individuals with unique backgrounds, perspectives, and abilities! Come join our growing team that’s helping ensure a safer, more privacy-focused web/internet! #LI-Remote£70,000 - £95,000 a yearWe may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Join the Growth Story at Envitia Envitia operates at the heart of the UK’s most sensitive and high-profile operations. Our approach is entirely mission-focused, enabling customers to see more, decide faster, and act with confidence across complex domains. We deliver situational awareness and information advantage across C5ISR, fusing cyber, geospatial, and kinetic data into an operational picture. This transforms fragmented data into a shared understanding of the battlespace, delivering actionable insight when it matters most. Our solutions are secure-by-design, built from the ground up to protect sensitive information and ensure resilience in contested environments. We simplify complex heterogeneous data sources into a rich picture of fused intelligence, providing a digital backbone that underpins success. We operate as small teams delivering fast value, blending deep technical expertise with agile methods to deliver measurable outcomes. Every engagement focuses on capability, clarity, and confidence for those who protect the nation. A career with Envitia enables you to work with mission driven innovation. We’re thrilled to announce that Envitia has been named one of the Sunday Times Top 100 Medium-Sized Companies to Work For in 2025—a prestigious recognition that highlights our commitment to creating an outstanding workplace where innovation, collaboration, and personal growth thrive. The Role Envitia is recruiting for a Data Engineer to join our Security and Intelligence consulting team, who will be responsible for designing, building and maintaining secure, scalable data platforms and pipelines that enable advanced analytics and operational intelligence capabilities. The role focuses on engineering robust data architectures capable of ingesting, processing and distributing large-scale datasets, supporting downstream analytics, machine learning and mission applications. The successful candidate will work within multi-disciplinary agile teams, collaborating with data scientists, software engineers, DevOps specialists and mission analysts to deliver production-grade data solutions. Typical engagements include: • Engineering large-scale data ingestion and processing pipelines, • Designing data lakes and distributed data platforms, • Enabling analytics and AI/ML workloads, • Supporting intelligence data exploitation workflows, • Integrating multiple classified data sources across secure environments Job Responsibilities • Design, build and maintain secure, scalable data platforms capable of processing large volumes of operational data., • Develop and operate robust data lakes and distributed data processing environments within secure or regulated settings., • Engineer high‑performance data ingestion pipelines for batch and streaming data from multiple sources, including sensor, geospatial, communications and operational systems., • Design and implement ETL/ELT workflows to transform, enrich and validate data for downstream analytics and machine learning use., • Build scalable, distributed data processing solutions using modern big data and parallel processing technologies., • Ensure data quality, reliability and performance through monitoring, validation and operational support mechanisms., • Collaborate closely with data scientists to enable analytics and AI/ML workloads, including feature pipelines and data preparation processes., • Optimise data storage and processing architectures to support high‑performance analytical environments., • Contribute to DevSecOps and cloud‑native delivery, including automated deployment, infrastructure provisioning and containerised environments., • Support the ongoing operation, observability and resilience of production data platforms. Skills Required • Experience in data engineering using modern programming languages such as Python, Java or Scala, and SQL., • Hands‑on experience building and operating large‑scale data pipelines using big data and distributed processing technologies (e.g. Apache Spark, Hadoop)., • Experience designing and maintaining data lakes, distributed storage platforms, and data pipeline orchestration tools., • Experience working with cloud‑native data platforms, with strong expertise in AWS and native data services., • Familiarity with Infrastructure as Code and modern cloud‑native data architectures., • Experience working in DevSecOps environments, including Docker, Kubernetes, CI/CD pipelines, and observability/monitoring tooling., • Ability to work directly with stakeholders to understand data requirements and translate them into robust, scalable data engineering solutions., • Comfortable working in secure, regulated or constrained environments, delivering solutions within complex operational settings. Security Clearance Requirements The successful candidate must be eligible for an enhanced Developed Vetted / eDV security clearance. Location It is anticipated the role will require up to 80% (4d/wk) onsite working at client locations – Gloucester, London, Manchester (based on project requirements). What’s in it for you? At Envitia, our greatest asset is our team. We are committed to ensuring our workplace is one where every employee feels valued, supported and motivated to reach their full potential. As part of this commitment, we offer an exciting range of benefits designed to enhance both your professional and personal well-being. • More time for you: Enjoy 25 days of annual leave plus your birthday off, because you deserve to celebrate you. Want more flexibility? You can buy or sell up to 5 extra days to tailor time off around what matters most., • Private Medical Insurance: We’ve got you covered with comprehensive private healthcare, including family options for added peace of mind., • Security Clearance Bonus: Up to £5,000 year, • Career growth that keeps you ahead: We invest in your future with ongoing training and development, so you’re always learning, growing and staying ahead of the curve., • Wellness that works for you: Love yoga, or going to the gym? We encourage an active lifestyle and support your wellness goals with a fitness reimbursement scheme that helps cover your gym membership or fitness-related expenses., • Life Assurance: Gain peace of mind with our life insurance coverage that ensures your loved ones are protected, because we care about your future as much as your present., • Smarter Retirement Planning: Plan for your future with our pension options and resources to help build a secure financial foundation., • Perkbox: Treat yourself! From shopping to spa days, to saving money on that new TV, our Perkbox membership gives you access to exclusive discounts on hundreds of products and services., • Recognition that counts: Great work doesn’t go unnoticed here. Our reward and recognition scheme celebrate your impact and let your brilliance shine., • Give back and get involved: Join us in making a difference through paid volunteering days that let you support the causes that matter to you. Inclusion at Envitia At Envitia, we celebrate diversity and are committed to creating an inclusive environment for all employees. We welcome applicants from all backgrounds and walks of life. We believe that our strength lies in our differences, and we are dedicated to fostering a workplace where everyone feels valued, respected, and empowered. We encourage applications from people of all abilities, ages, genders, sexual orientations, races, ethnicities, and religions. We strive to support a culture of inclusion, accessibility, and work-life balance. If you require any accommodations during the application or interview process, please let us know.

Job Title: AWS Data Engineer Contract: 6 Months Location: Remote, UK Skills: • Advanced knowledge of data management tools including SQL/DBMS, MongoDB, Hadoop and/or other big data technologies., • Advanced programming skills in Java, Python, R, C++, C#, etc. Knowledge of statistical and data mining techniques (regression, decision trees, clustering, neural networks, etc.)., • Experience with data visualization tool is plusExposure to online, mobile, and social data is a plus. Intellectual curiosity, along with excellent problem-solving and quantitative skills, including the ability to disaggregate issues, identify root causes and recommend solutions., • Ability to independently own and drive model development, balancing demands and deadlinesStrong people skills, team-orientation, and a professional attitude., • Our Advanced Analytics teams bring the latest analytical techniques plus a deep understanding of industry dynamics and corporate functions to help clients create the most value from data., • Must Have: Enterprise Knowledge Data Management, Data pipeline, Python, SQL, AWS, • Centralising data stored in RDBMS, Data Ingestion, and Uploading data into the database. Education: Bachelor's degree in quantitative field like Computer Science, Engineering, Statistics, Mathematics or related field required. Advanced degree is a strong plus

SenseOn is looking for a Forward Deployed Engineer to sit at the intersection of security engineering, software development, and customer success. This is one of the broadest and most impactful technical roles in the business, you will be the person who makes SenseOn work, in the real world, for real customers. As a Forward Deployed Engineer, you will embed directly with customers to deploy and configure the SenseOn platform, develop custom integrations, and ensure that every customer derives measurable security value as quickly as possible. You will own the technical outcome, supporting technical sales and working on technical delivery to enable SenseOn to be effective. This is not a pre-sales or demo role. You support both new business engagements and existing customer renewals, providing the technical depth to prove and quantify the value SenseOn delivers and ensuring that as deployments grow more complex with expanded log ingestion, customers always feel in safe hands. You will report to the VP of Technology and work closely with the Security Operations, Customer Success, Sales Engineering, and Product teams. Location: UK Travel: Approx 25% to customer sites Experience: 3 to 6 years+ The Role in Detail You will own the full technical lifecycle of a customer deployment, from initial architecture review through to live production, ongoing integration development, and long-term platform health. You will build cloud integrations. You will write and tune detection rules in SIEMs. You will debug customer environments. And you will ensure that every customer you touch becomes a SenseOn advocate. Your impact does not stop at deployment. As SenseOn’s log ingestion capability grows and deployments become more complex and wide ranging, you will work with the Customer Success team to build the technical business cases that win renewals and drive expansion bringing the same engineering rigour to proving value as you do to deploying it. • Lead end-to-end SenseOn platform deployments and complex log ingestion rollouts without customer disruption., • Conduct architectural reviews to define deployment strategies and identify integration opportunities., • Own the post-sale technical relationship into steady-state operations, delivering against technical success criteria tied to quantifiable security outcomes., • Travel to UK and international customer sites approximately 25% of the time., • Provide the technical evidence base and build business cases for renewals and expansions, translating platform telemetry and incident response data into clear customer outcomes., • Proactively health-check environments, close technical gaps, and resolve visibility issues ahead of renewal conversations., • Collaborate with Sales Engineering to ensure continuity from pre-sale technical validation through to post-sale deployment., • Write production-quality software to build and maintain integrations across third-party security tools, SIEMs, identity platforms, and AWS, Azure, and GCP environments., • Contribute reusable connectors to the SenseOn integration library and create custom automation to optimise security operations workflows., • Work confidently across backend languages (Python preferred; Go, JavaScript, and Bash valued) utilising RESTful APIs, webhooks, and data pipeline patterns., • Write, tune, and maintain high-fidelity, low-noise SIEM detection rules by translating threat intelligence and attacker behaviour., • Map coverage to the MITRE ATT&CK framework to address visibility gaps, and develop new detection logic with Security Operations., • Iterate on rules post-deployment to reduce false positives, and provide expert guidance to customers regarding their detection strategy and risk posture., • Develop deep relationships with customer security leadership, acting as a trusted adviser across their security architecture., • Proactively mitigate adoption risks, resolve deployment blockers, and conduct structured onboarding from platform fundamentals to advanced threat hunting., • Monitor deployed environment health, address technical drift, and translate field experience into actionable product feedback internally., • Partner with Sales Engineering on Proof of Value (POV) engagements, providing technical credibility to differentiate SenseOn., • Contribute to bespoke technical demonstrations, architecture proposals, and solution designs for complex prospects transitioning from legacy platforms or traditional SIEM solutions., • Act as a direct conduit between the field and product teams, raising well-evidenced bugs, feature requests, and detection improvements., • Participate in User Acceptance Testing (UAT) for new platform releases to provide field-informed quality assurance., • Identify cross-environment patterns to highlight new detection opportunities or platform capability gaps for the analytics backlog. Essential • 3–6 years of experience in a technical cybersecurity role, ideally spanning Security Operations and an engineering or customer facing function., • Demonstrable software development capability, you must be able to write, review, and deploy code in a production context. Python is strongly preferred., • Proven ability to write and tune detection rules in one or more SIEM platforms (e.g. Splunk, Microsoft Sentinel, Elastic, QRadar). You are comfortable translating threat scenarios into detection logic and iterating on rule quality based on operational feedback., • Hands-on experience building and troubleshooting integrations with cloud platforms (AWS, Azure, or GCP), REST APIs, and common security tooling including SIEMs, EDRs, XDRs, and NDRs., • Strong understanding of networking fundamentals, operating systems (Windows and Linux), and identity and access management concepts., • Experience deploying or operating software in containerised environments (Docker, Kubernetes)., • Excellent written and verbal communication skills, with the ability to engage credibly with both technical engineers and non-technical stakeholders up to C-level., • Based in the United Kingdom with the right to work in the UK. Highly Desirable • Prior experience in a Forward Deployed Engineer, Customer Success Engineer, or Technical Account Manager role at a security or SaaS company., • Experience supporting customer renewal engagements from a technical perspective — building business cases, evidencing value, and closing coverage gaps ahead of renewal conversations., • Familiarity with log ingestion at scale, including the operational and architectural challenges of onboarding diverse log sources across complex enterprise environments., • Experience with CI/CD pipelines, Infrastructure-as-Code (Terraform, Ansible), and modern DevSecOps practices., • Exposure to machine learning or AI-driven security analytics platforms., • Relevant industry certifications such as CISSP, AWS Solutions Architect, GCIH, or equivalent., • Experience supporting or replacing incumbent security platforms (e.g. Darktrace, CrowdStrike, Splunk) within enterprise customer transitions. Within your first 90 days, you will have completed at least one end-to-end customer deployment, established yourself as the technical lead for a portfolio of accounts, and shipped at least one integration adopted by a customer in production. Within 6 months, you will be leading complex multi-environment deployments independently, supporting renewal engagements with clear technical business cases, and have contributed meaningful detection rules and integrations to SenseOn’s shared library. Within 12 months, you will be shaping how SenseOn approaches deployment and customer value quantification at scale, informing product roadmap decisions, mentoring more junior team members, and owning the technical success of some of SenseOn’s most strategic accounts. What We Offer • Competitive salary commensurate with experience, • Unlimited holiday allowance, • Hybrid working model with flexibility around customer commitments, • Bi-annual career progression review, • Personal learning and development budget, • MacBook and all necessary tooling provided, • Enhanced pension scheme, • Private healthcare through Vitality, with rewards and discounts Belong at SenseOn At SenseOn, we define Talent as employees who are customer obsessed and pursuing excellence. They are courageous, good people, doing good things, powering our mission. If this resonates with you, then you will always belong. Nothing else matters. We are an Equal Opportunity Employer and do not discriminate against any qualified employee or applicant. Difference is what makes us stronger.

📍 London, Cardiff or Remote in the UK | | ✨| Check out our _ 🚀 What you’ll be working on: The Analytics Engineering team is responsible for building downstream data models from backend services with the desire to make our Data Warehouse a genuine competitive advantage for Monzo. We want a discipline capable of building an amazing Data Warehouse to support decision making, Business Intelligence, key financial reconciliation processes and best in class analytics and Data Science. You’ll enable our data driven approach, and: • Support the building of robust data models downstream of backend services (mostly in BigQuery) that support internal reporting, machine learning as well as financial and regulatory use cases., • Focus on optimisation of our Data Warehouse, spotting opportunities to reduce complexity and cost., • Help define and manage best practices for our Data Warehouse. This may include payload design of source data, logical data modelling, implementation, metadata and testing standards., • Set standards and ways of working with data across Monzo, working collaboratively with others to make it happen., • Take established best practices and standards defined by the team, applying them within other areas of the business., • Investigate and effectively work with colleagues from other disciplines to monitor and improve data quality within the warehouse., • Contribute to prioritisation of data governance issues, • We all own and support the pipelines we contribute to, and on call support out of hours will be expected from time to time as part of this role We’d love to hear from you if… • You enjoy working with cross functional fast moving teams and are passionate about serving small businesses., • You are able to think strategically about the Business Banking product and how our underlying data models will unlock more insights for our team and more value for our customers., • You have a strong passion for data modelling, ETL projects, and Big Data., • You enjoy working with data streams from various services, such as financial, transactional, and operational systems., • SQL and data modelling are second nature to you, and you are comfortable with general Data Warehousing concepts., • You are committed to continuous improvement, proactively identifying opportunities and addressing challenges in your work and the work of others. Nice to haves • Any experience working within a finance function or knowledge of accounting., • Experience working in a highly regulated environment (e.g. finance, gaming, food, health care)., • Knowledge of regulatory reporting and treasury operations in retail banking, • Exposure to Python, Go or similar languages., • Experience working with orchestration frameworks such as Airflow/Luigi, • Have previously used dbt, dataform or similar tooling., • Used to AGILE ways of working (Kanban, Scrum) The Interview Process: Our interview process involves 3 main stages: • 30 minute recruiter call, • 45 minute call with the hiring manager, • Take home task, • 2-part final stage Our average process takes around 3 weeks but we will always work around your availability. You will have the chance to speak to our recruitment team at various points during your process but if you do have any specific questions ahead of this please contact us on tech-hiring@monzo.com Please also use that email to let us know if there's anything we can do to make your application process easier for you, because of disability, neurodiversity or any other personal reason. What’s in it for you: 📍This role can be based in our London office, but we're open to distributed working within the UK (with ad hoc meetings in London). ⏰ We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team. 📚Learning budget of £1,000 a year for books, training courses and conferences ➕And much more, see our full list of benefits_ If you prefer to work part-time, we'll make this happen whenever we can - whether this is to help you meet other commitments or strike a great work-life balance.

Attio is the CRM built for the AI era. Designed for the most ambitious go-to-market teams, it gives companies the power to understand every customer, automate at scale, and build their go-to-market motion exactly as they need. We've raised $116M from some of the world's best investors: GV (Google Ventures), Redpoint, Balderton, Point Nine, and 01A. We hire builders who thrive on complex technical challenges, hold themselves to a high bar, and genuinely care about delighting the people who use what they build. The team here brings sharp judgement, real craft, and the drive to do exceptional work. We're obsessed about the details and energized by the frontier. If you want to do the best work of your career, this is the right place. Our Engineering team tackles the toughest challenges, so our users never have to. Real-time infrastructure, AI-native architecture, and a frontend that feels effortless — all powered by a team that moves fast, thinks rigorously, and holds an exceptionally high bar for quality. We’re hiring Attio’s first dedicated Data Engineering Lead to build the infrastructure, pipelines and standards that enable the company to operate on reliable, trusted data at scale. As our inaugural Lead Data Engineer, you’ll own and evolve our internal data platform end-to-end — improving reliability, enabling better decision-making, and shaping the long-term foundations of data across the business. Your work will directly support teams across Product, Engineering, Marketing, Finance and Go-To-Market. We see this as far more than a traditional Data Engineering role. It’s an opportunity to define and shape Attio’s future data capability from the ground up — operating as a highly hands-on senior IC initially, whilst helping establish the foundations, standards and strategic roadmap for how the broader data function evolves over time. The role is ideally suited to someone who enjoys bringing structure to ambiguity, solving complex infrastructure challenges, and working closely with the business in a fast-moving, product-led environment. We’re looking for someone who is equally comfortable being hands-on and building, whilst also thinking strategically about how scalable data systems, processes and teams should evolve over time. Build and stabilise core data infrastructure: Design, build and maintain reliable, scalable pipelines and systems that ensure data flows correctly across the business and support critical operational and reporting workflows. Improve data reliability and observability: Own and improve the quality, resilience and maintainability of Attio’s broader data infrastructure — helping reduce operational risk and improve trust in the data underpinning the business. Shape Attio’s future data architecture: Partner closely with Product, Engineering and business stakeholders to define how our data platform should evolve over time, balancing immediate business needs with long-term scalability. Enable better business decision-making: Help create the foundational datasets, transformations and infrastructure required to support experimentation, analytics and operational reporting across the company. Operate as a senior technical leader: Bring clarity and direction within ambiguity — taking loosely defined problems, creating clear plans of execution, and driving outcomes with a high degree of ownership and autonomy. Help build the future data function: Contribute toward defining best practices, technical standards and longer-term hiring plans as Attio’s data capability matures and scales over time. Strong Data Engineering foundations: Deep hands-on experience designing and maintaining modern data infrastructure, pipelines and transformation layers within cloud-native environments. Technical depth across modern data tooling: Strong hands-on Data Engineering capability across modern tooling such as BigQuery, DBT, SQL and Python (or equivalent ecosystems e.g. Snowflake). Startup or scale-up experience: You’ve operated within fast-moving product or engineering-led environments and understand how to balance speed, ambiguity and long-term technical quality. Translation across abstraction levels: Able to move fluently between ambiguous business problems and precise technical implementation by translating effectively in both directions. Quantitative reasoning: Able to translate ambiguous business concepts (e.g. “activated workspace” or “qualified lead”) into clear, measurable and defensible definitions, with strong judgement around whether resulting outputs represent meaningful signal or simply noise. High ownership and autonomy: Comfortable operating as a senior IC with minimal direction. You have experience being responsible for problems end-to-end and driving them through to resolution. Pragmatic technical leadership: You’re able to bring structure and prioritisation to unclear problem spaces, communicate effectively with both technical and non-technical stakeholders, and influence decisions across the business. Commercial and operational awareness: You understand that data infrastructure is not just an engineering problem: it directly impacts product velocity, reporting accuracy, experimentation capability and commercial performance. Bias for action: You move with urgency, enjoy solving difficult problems, and are equally comfortable operating strategically as you are rolling up your sleeves and building directly. UK benefits Competitive salary of £115,000 - £145,000 Equity in an early-stage tech company on an incredible trajectory 25 days holiday plus local public holidays Apple hardware Private medical insurance through AXA Pension contribution through Hargreaves Lansdown Enhanced family leave Team off-site in fun places! (We've been to Barcelona, Lisbon, Malta, and Split so far) Initial Conversations 30-minute introductory call with a member of our Talent team 45-minute conversation with our CTO & Co-Founder Core Interviews System Architecture & Technical Foundations session with our Staff Product Engineer Data Analysis & Commercial Reasoning session with our Product Lead - Growth Final Stage 30-minute closing conversation with our CEO Optional team meet-and-greet (on request) Offer call (if it’s a mutual fit)

Are you a highly skilled Senior Backend Engineer with a passion for Data and Machine Learning, ready to make a global impact? Join Spotify's Commerce Platform to build the next generation of our robust, high-performing, and resilient payments ecosystem. This is a unique opportunity to solve complex challenges, work with ML-powered systems, and contribute to the core of Spotify's revenue-generating systems. As part of Spotify's Commerce Platform, we in the Pay-In domain own the critical backend services and extensive datasets that power the users’ payment journey. You will join one of the sub-teams in the Pay-In domain, which develops and maintains the systems that integrate with payment providers, manage disputes, and leverage ML for fraud detection and prevention. The reliability of these systems is business-critical for Spotify. • Architect, design, and implement highly scalable backend services (Java/Python) and robust data pipelines that power Spotify’s internal Commerce platform., • Develop and enhance our ML-powered systems taking solutions from concept to production., • Take the lead on API design, platform development, and ensuring the scalability, reliability, and performance of our services., • Collaborate with a talented, cross-functional team of engineers, product managers, and data scientists to deliver impactful solutions., • Mentor other engineers and foster a culture of continuous learning and technical excellence within the team., • You have significant experience building and scaling backend services (Java and/or Python) in a large-scale, cloud-native environment like Google Cloud Platform., • You have hands-on experience with Machine Learning, including developing, deploying, or maintaining ML models in a production environment., • You have proven experience building and maintaining data pipelines to support ML and analytics use cases., • You possess practical knowledge of scalable database technologies, such as PostgreSQL., • You are a proactive, self-driven engineer with excellent problem-solving skills and a pragmatic approach to tackling challenges., • You are an exceptional communicator and collaborator, comfortable leading technical discussions and working effectively with diverse teams., • Previous experience in e-commerce, financial engineering, or high-volume transaction processing is a plus., • This role is based in London., • We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home.

1Password is growing. We’ve surpassed $400M in ARR and we’re continuing to accelerate, earning a spot on the Forbes Cloud 100 for four years in a row and teaming up with iconic partners like Oracle Red Bull Racing. About 1Password At 1Password, we’re building the foundation for a safe, productive digital future. Our mission is to unleash employee productivity without compromising security by ensuring every identity is authentic, every application sign-in is secure, and every device is trusted. We innovated the market-leading enterprise password manager and pioneered Unified Access Management, a new cybersecurity category built for the way people and AI agents work today. As one of the most loved brands in cybersecurity, we take a human-centric approach in everything from product strategy to user experience. Over 180,000 businesses, from Fortune 100 leaders to the world’s most innovative AI companies, trust 1Password to help their teams securely adopt the SaaS and AI tools they need to do their best work. If you're excited about the opportunity to contribute to the digital safety of millions, to work alongside a team of curious, driven individuals, and to solve hard problems in a fast-paced, dynamic environment, then we want to hear from you. Come join us and help shape a safer, simpler digital future. The Technical Account Management team ensures customers realize long-term value from their 1Password investment. We combine technical expertise with customer advocacy, guiding organizations from implementation through adoption, expansion, and renewal. Our team partners closely with Onboarding and Implementation, Customer Success Managers, Product, Support, and Enablement to ensure customers experience a seamless journey post-sale. We are customer-obsessed, technically curious, and committed to building deep, trusted partnerships that help organizations succeed securely with 1Password. As a Staff Technical Account Manager, you’ll own the technical side of the post-sale customer lifecycle. You’ll guide implementations, drive adoption, and act as a trusted technical advisor on identity, access, device trust, and SaaS security, driving tangible outcomes for our customers and helping shape the future of access management. You’ll take on our most strategic and complex accounts, mentor your fellow team members, and influence how we scale customer engagement, processes, and best practices across the organization. You’ll balance technical depth with business acumen, always with an eye on driving customer value and retention. As a Sr Staff level TAM, you’ll work alongside leadership to shape processes, drive product outcomes, and learning opportunities for the rest of the team while being the go-to subject matter expert cross-functionally for your particular product domain of expertise. How we’re using AI today Across GTM, we’re transforming the way we work with AI. We expect every seller, CSM, and team member to become a power user, using it daily to work smarter and move faster. AI is already embedded in how we operate – from real-time coaching that sharpens how we sell and interact with customers, to surfacing insights that help us anticipate needs – creating more time for meaningful customer engagement. If you’re excited to reshape how you think, make decisions, and drive growth with AI, you’ll feel right at home here. This is a remote opportunity within the UK. What we're looking for: 6+ years in a customer-facing technical role (Technical Account Manager, Solutions Engineer, or Implementation Consultant) within a SaaS or security focused B2B environment. Proven ability to lead technical onboarding and implementation conversations with both technical and business stakeholders throughout the entire post-sale journey with the most complex customer requirements. Strong communication, storytelling, and demo skills. You are able to translate complex technical concepts into clear business value. Extensive experience driving customer adoption, expansion, or renewal through proactive technical engagement. Advanced understanding of modern security frameworks and identity protocols (e.g.,SSO, SCIM, SAML, OAuth), and how they support compliance standards such as SOC 2, ISO 27001, and GDPR. Extensive experience with the identity space and a deep understanding of how the space is adapting to modern work environments. Must be able to work autonomously in a remote-first environment, while collaborating cross-functionally as a trusted subject matter expert in your domain. Strong familiarity with AI technologies and the ability to advise customers on evolving product roadmaps. Deep experience mentoring peers, shaping enablement, and improving customer lifecycle processes. Strong ability to develop new/improved team practices, processes, models, and metrics based on research and best practices. Experience with 1Password (or other password managers), SaaS lifecycle management, MDM or device posture tools is a strong plus. What you can expect: Own our most complex post-sale technical relationships, guiding customers from onboarding through adoption and renewal. Lead technical implementation, including integrations, configuration, and security reviews. Act as the technical advisor for our most complex accounts, ensuring customers are set up for long-term success. Partner with Customer Success Managers to proactively identify risks, drive expansion opportunities, and maximize customer value while minimizing contraction/churn and identifying opportunities to expand the use of our products. Contribute to strategic customer health reviews and success planning across the full 1Password ecosystem. As a Staff level IC, you’ll assist leadership in a team lead capacity by supporting admin tasks including, but not limited to, call assignments, technical 1:1s, and co-lead/lead team meetings. Represent the customer voice internally by partnering with Product, Marketing, and Support as a subject matter expert on our products. Create and maintain resources (playbooks, knowledge base, etc) that scale customer impact in close partnership with leadership. Mentor other team members, contribute to enablement, and shape scalable processes. Act as an escalation point for highly complex technical challenges and strategic accounts. Occasionally represent 1Password at customer meetings, industry events, or team offsites (some travel may be required). UK-based roles only: The annual base salary for this role is between £71,000 GBP and £103,000 GBP. This role is also immediate participation in 1Password's benefits program (health, dental, pension, and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs. At 1Password, we approach each individual's compensation with a promise of fair market value and internal equity commensurate with experience and specific skill set. This posting is for an existing vacancy. Our culture At 1Password, we prioritize collaboration, clear and transparent communication, receptiveness to feedback, and alignment with our core values: keep it simple, lead with honesty, and put people first. You’ll be part of a team that challenges the status quo, and is excited to experiment and iterate in search of the best solution. That said, _. Our work is demanding, we strive for excellence, and the pace is fast. We need people who are keen to take on challenging problems, who seek feedback to grow, and who are driven to make an impact. If you're looking for a place where you can settle into a comfortable routine, this might not be the right fit for you. We’re looking for individuals who are proven experts in their fields, as well as those who are highly adaptable, can thrive in ambiguity and through change, are curious, and above all deliver results. How we work with AI We are committed to leveraging cutting-edge technology—including AI—to achieve our mission. We also understand that thinking critically about AI in its current forms will help us create better solutions for our customers and ourselves with its future forms, which will help us continue to close the gap between security and privacy and achieve our mission. We want team members at all levels to take the approach of actively learning AI best practices, identifying opportunities to apply AI in meaningful ways, and driving innovative solutions in their daily work. Embracing the future of AI isn't just encouraged—it's an essential part of how we will be successful at 1Password. This approach extends to our hiring process—candidates are welcome to use AI tools responsibly and thoughtfully during the application process. Our approach to work We recognize the power of both in person collaboration and remote work. Some roles are designated as remote-first, with an expectation that individuals work from their homes majority of the time, while others are designated as in-office roles, with an expectation of being on-site on a regular basis. We recognize that certain roles benefit from regular, in-person connection to support collaboration, team cohesion, and customer engagement. For all roles, occasional travel may be required. This includes things like: department-wide offsites, quarterly department meetings and periodic customer events. These events are typically held in varying locations across Canada, USA and/or EMEA. In leadership roles, you can expect to travel once per month on average. Note: All go-to market roles will have an in-person onboarding in Toronto. What we offer We believe in working hard, and rewarding that hard work through our benefits. While not an exhaustive list, here is a glance at what we currently offer: Health and wellbeing 👶 Maternity and parental leave top-up programs 🩺 Competitive health benefits 🏝 Generous PTO policy Growth and future 📈 RSU program for most employees 💸 Retirement matching program 🔑 Free 1Password account Community 🤝 Paid volunteer days 🏆 Peer-to-peer recognition through Bonusly 🌎 Remote-first work environment *Some roles in our GTM team are currently being hired for in-person hybrid work in Toronto and Austin. These roles will specify on the posting. You belong here. 1Password is proud to be an equal opportunity employer. We are committed to fostering an inclusive, diverse and equitable workplace that is built on trust, support and respect. We welcome all individuals and do not discriminate on the basis of gender identity and expression, race, ethnicity, disability, sexual orientation, colour, religion, creed, gender, national origin, age, marital status, pregnancy, sex, citizenship, education, languages spoken or veteran status. Be yourself, find your people and share the things you love. Accommodation is available upon request at any point during our recruitment process. If you require an accommodation, please speak to your talent acquisition partner or email us at nextbit@agilebits.com and we’ll work to meet your needs. Remote work is a part of our DNA. Given that our company was founded remotely in 2005, we can safely say we're experts at building remote culture. That said, remote work at 1Password does mean working from your home country. If you've got questions or concerns about this, your talent partner would be happy to address them with you. Successful applicants will be required to complete a background check that may consist of prior employment verification, reference checks, education confirmation, criminal background, publicly available social media, credit history, or other information, as permitted by local law. 1Password uses artificial intelligence (AI) and machine learning (ML) technologies, including natural language processing and predictive analytics, to assist in the initial screening of employment applications and improve our recruitment process. See for the latest third party bias audit information. If you prefer not to have your application assessed using AI/ML features, you may opt out by completing . For additional information see our _.

About Us: DOHE is a global EdTech championing group headquartered in Singapore, with a branch in the United Kingdom.We are on a mission to transform education by leveraging technology responsibly to enhance educational quality and foster meaningful societal progress. We are building EdTech Hub, a global ecosystem designed to empower startups, foster collaboration, and strengthen innovation across the education sector worldwide.Through our Go-Together Accelerator Programme, we support EdTech founders in turning their vision into reality through tailored coaching and strategic support. Guided by our proprietary Navigator methodology, we create structured and efficient pathways to success for education innovators. Over the next decade, our ambition is to accelerate more than 5,000 EdTech startups globally EdTech Hub IT Team The EdTech Hub IT Team powers the digital foundation of our ecosystem. We design, build, and maintain secure, scalable, and reliable technology infrastructure that enables startups, partners, and stakeholders to collaborate seamlessly. From platform development and data management to cybersecurity and system optimisation, our team ensures that innovation is supported by strong and future-ready technology. By combining technical expertise with a deep understanding of the EdTech landscape, we help create an environment where startups can focus on growth — while we take care of the technology that drives it. We are building a high-impact core team of 9 professionals across engineering, product, and design. Detailed Job Descriptions are available for each role. In This Role, You'll Establish the design system on a modern framework and build the entire frontend for five portals plus EdTech Hub. Implement role-based access control and create interactive UIs that surface AI-generated reports and matching results. · Build all 5 portals and EdTech Hub frontend from scratch · Establish a shared component library and Design System · Implement role-based access control and authentication integration · Develop complex workflow UIs — multi-step approval, coaching sessions, diagnosis questionnaires · Build AI integration screens — report viewer, expert matching, recording uploads · Create monitoring dashboards, cohort tracking, and analytics views EdTech Hub IT Team EdTech Hub는 전 세계 에듀테크 스타트업 커뮤니티를 지원하고, 교육 혁신 생태계 전반의 협력을 강화하기 위해 설계된 글로벌 플랫폼입니다. DOHE Global은 현재 전 세계 스타트업의 성장을 지원하는 통합 EdTech Hub 플랫폼을 처음부터 새롭게 구축하고 있습니다. 우리는 이 혁신적인 여정을 함께할 9개의 핵심 포지션에 합류할 전문 인재를 찾고 있습니다. DOHE는 싱가포르에 본사를 두고 영국에 지사를 운영하는 글로벌 EdTech Championing Group으로, 에듀테크 스타트업이 사회적 가치를 만들고 글로벌로 성장할 수 있도록 에코시스템 (EdTech Hub) 구축 , 글로벌 액셀러레이션 프로그램 (Go-Together) , 데이터 기반 Methodology(Naviagator)를 제공하는 에드테크 전문 그룹입니다. 현재 EdTech Hub, Go-Together 등 내부 핵심 업무 시스템을 고도화하며 글로벌 팀과 함께 일할 시스템 엔지니어를 찾고 있습니다. Design the Core APIs for the unified platform, automate end-to-end business processes with a workflow engine, and safely migrate legacy data. This isn't just API development — you're architecting the entire foundation of the platform. · Design and build core domain APIs — User, Startup, Expert Pool · Automate Application → Diagnosis → KO → Coaching workflows using a workflow engine · Design the unified DB schema with audit logging and permission middleware · Architect and execute data migration from legacy DB, CSV, and SharePoint sources · Enhance and scale the existing authentication system as the platform grows · Lead backend code reviews, establish architecture and engineering standards · Senior backend engineer experiences · Python backend development experiences · Large-scale DB schema design and operations · RESTful API design and large-scale service architecture · Authentication/authorization system integration or scaling experience · Business-level English fluency required — daily collaboration with a global team Language Python 3.11+ Framework FastAPI · Django Database PostgreSQL · Redis Workflow Temporal · n8n Infra AWS / GCP · Kubernetes · Docker Tooling GitHub · Jira / Linear · Cursor [한국어] 통합 플랫폼의 Core API를 설계하고, 워크플로우 엔진으로 전체 비즈니스 프로세스를 자동화하며, 레거시 데이터를 안전하게 마이그레이션합니다. 단순히 API를 개발하는 것이 아니라, 플랫폼의 뼈대 전체를 설계하는 역할입니다. · User, Startup, Expert Pool 등 핵심 도메인의 API를 설계하고 구축합니다 · 워크플로우 엔진으로 Application → Diagnosis → KO → Coaching 프로세스를 자동화합니다 · 통합 DB 스키마를 설계하고, 감사 로그와 권한 미들웨어를 구현합니다 · 기존 DB, CSV, SharePoint 등 다양한 소스의 데이터 마이그레이션을 설계하고 실행합니다 · 기 구축된 인증 시스템을 플랫폼 확장에 맞춰 고도화합니다 · 백엔드 팀의 코드 리뷰를 리딩하고, 아키텍처와 엔지니어링 표준을 수립합니다 · 시니어 백엔드 엔지니어 · 풍부한 Python 기반 백엔드 개발 경험 · 대규모 DB 스키마 설계 및 운영 경험 · RESTful API 설계와 대규모 서비스 아키텍처 구축 경험 · 인증/인가 시스템 연동 또는 확장 경험 · 비즈니스 수준의 영어 커뮤니케이션 능력 필수 — 글로벌 팀과의 일상적 협업 · 아키텍트 마인드. 코드를 짜기 전에 시스템 전체의 구조를 먼저 그리는 분. 최적의 설계에 대한 집착이 있는 분입니다. · 빌더. 레거시를 유지보수하는 것보다, 백지에서 새로운 시스템을 구축하는 것이 설레는 분입니다. · 임팩트 지향. 5,000개 이상의 스타트업이 사용할 플랫폼을 직접 만든다는 사실에 동기부여가 되는 분입니다. · AI 네이티브. AI 코딩 도구를 일상적으로 쓰고, AI 파이프라인과의 통합에 열린 자세를 가진 분입니다. Language Python 3.11+ Framework FastAPI · Django Database PostgreSQL · Redis Workflow Temporal · n8n Infra AWS / GCP · Kubernetes · Docker Tooling GitHub · Jira / Linear · Cursor Employment: • Working hours: Full-time 40 hours a week., • Location: Remote - South Korea based, • Contract: Fixed Term Contract

Ready to make travel easier for millions? Airalo is the world’s first and largest eSIM store, helping travellers stay connected seamlessly in over 200 countries and regions. We trust our teams to take ownership, put customers first, and do work that has a real impact every day. What’s in it for you? Airalo offers team members a range of perks, including remote work, generous PTO, wellness and learning allowances, and, of course, our annual Airalo Away retreat. Learn more about our benefits here; _ Hi, I'm Andra, Director of Data at Airalo! Our team works across the full data ecosystem, from collection to insights activation, ensuring that every piece of data drives meaningful action. We’re curious problem-solvers who love tackling challenges that haven’t been solved before and building tools and processes that scale impact across the company. Airalo’s fully remote Data team is growing. You’ll turn numbers into decisions that shape the future of our business, collaborating with cross-functional teams to solve complex problems and influence how millions of travellers stay connected. This isn’t just dashboards - it’s using data to drive strategy, inform product and growth decisions, and create real impact. You’ll have access to best-in-class tools, the freedom to experiment, and a team ready to turn insights into action. As the Data Engineering Manager, you will lead the foundational backend of our data organization. YYou will directly manage our current pod of Data Engineers (2 Senior Data Engineers and 1 Customer Data Platform Engineer) and shape the hiring roadmap as the function grows - including scoping future specialized roles such as Machine Learning Engineers. Partnering closely with the Data Director, you will help us transition out of the reactive, ad-hoc phase and into a structured, highly scalable data ecosystem. You will own the architecture, ingestion, and orchestration that powers the rest of the data team - ensuring that our Analytics Engineers, Data Analysts and other users have a rock-solid, high-quality foundation to build upon. This role goes beyond building a data platform. You'll be the connective tissue between Product & Engineering, MarTech, and our partner ecosystem - ensuring data is produced cleanly at the source, captured reliably, and delivered cohesively across the entire organization. Manage, mentor, and grow a high-performing team of Senior Data Engineers and CDP Engineers. Drive hiring for the Data Engineering function as it grows, including scoping future specialized roles such as Machine Learning Engineers Foster a culture of engineering excellence, continuous learning, and cross-pollination of knowledge. Own the technical roadmap for Airalo’s data infrastructure (GCP, BigQuery), orchestration (Dagster, Airflow), and ingestion (Fivetran, custom APIs). Drive data-platform architecture decisions, turning ambiguous business problems into scalable, production-grade technical designs. Bridge the data platform with MarTech and third-party ecosystems (PSPs, MNOs, CDPs, attribution platforms), ensuring customer events, campaign data, and partner integrations flow cohesively in both directions. Partner with Software Engineering to embed data quality at the source - implementing data contracts, co-owning schema decisions, and driving the rollout of a data catalogue across the organization. Establish the foundations for real-time data capabilities as the business matures beyond batch processing Design systems that prioritize data quality, privacy, and governance standards across all data initiatives. Transition the team's workflow from reactive problem-solving to structured, agile delivery. Oversee the maintenance and optimization of high-performance data pipelines, implementing CI/CD automation, observability frameworks, and strict data quality gates. Roll up your sleeves when necessary to assist with complex code reviews, Python/Scala development, or unblocking the team on difficult architectural challenges. Act as a strategic partner to the Analytics Engineering Manager and Data Director to build the backend requirements necessary to achieve our company-wide goal of 80% self-serve analytics. 7+ years of professional experience as a Data/Software Engineer, with at least 2+ years of experience directly managing and scaling data engineering teams. You thrive in low-maturity or greenfield data environments. You're comfortable navigating ambiguity and enjoy the process of laying down paved roads and engineering standards where none existed before. Deep, hands-on background with major cloud platforms (GCP preferred) and cloud-native data warehouses (BigQuery preferred, or Snowflake/Redshift). Strong experience with orchestration tools (Airflow, Dagster), ELT pipelines (Fivetran, dbt), and distributed data processing frameworks (Apache Spark, Flink). Hands-on experience using AI tools to accelerate engineering workflows - code generation, code review, pipeline debugging, or documentation Strong coding experience in Python (and/or Scala) and advanced SQL across relational and non-relational databases. Experience implementing CI/CD, Infrastructure as Code, and observability/monitoring for data pipelines. Bachelor's degree in Computer Science, Engineering, Statistics, Information Systems, or a related quantitative field. Experience implementing data contracts, data catalogues (Atlan, Amundsen, DataHub), or federated governance models. Experience with Customer Data Platforms (Segment, mParticle, or similar), MarTech data integration, and real-time event processing. Experience in marketplace, B2C, or high-volume transactional businesses. Previous work in globally distributed data environments (multi-currency, multi-region, multi-language). Experience building or contributing to experimentation platform infrastructure (A/B testing pipelines, feature flag data, experiment analysis frameworks). Exposure to Machine Learning infrastructure - not necessarily building models, but scoping teams, tooling, and pipelines that support ML workloads. If you are interested in this position, please apply via the link. Please note that to be considered for this role, you must reside in and be fully eligible to work in either Romania, Spain, or the UK. Proof of a valid right to work in one of these three countries will be required. By applying, you acknowledge and agree that, in case of successful application, Airalo may request to run background checks as a condition for entering into an agreement with you. Rest assured that these checks will only occur upon your prior consent and at the end of the selection process, and will be strictly limited to what is allowed under the laws that are applicable to you. All data that you share or that we collect in connection with such checks will be processed in accordance with our Privacy Policy, available here: _ We sincerely thank all applicants in advance for submitting their interest in this opportunity. Airalo is an equal-opportunity employer and values diversity, equity & inclusion. We do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We are committed to providing reasonable accommodations upon request for individuals with disabilities throughout our job interview process. At Airalo, we use AI-assisted tools as part of our recruitment process. Your application will be reviewed using tools that help our recruiters analyze and organize CV information. These tools support, but do not replace, human judgment; all hiring decisions are made by humans. If you progress to an interview, we may use tools to generate AI-assisted notes - you can opt out of these. For more information on how we handle your data, please see our Privacy Policy: https://www.airalo.com/more-info/privacy-policy.

📍London, Cardiff or Remote in the UK | 💰 £97,800 -125,000 + | ✨ ⭐Our Borrowing Analytics Engineering Team: Our Mission in Borrowing is to enable people's financial goals through better borrowing. Our customers look to borrow money to enable them to achieve something in their lives - whether that’s making a big life event affordable, buying something they need now without affecting their monthly budget, or getting by until payday. And we’re looking to shape this mission by building products that our customers love, whilst scaling those top revenue lines across the business safely. We're looking for a Lead Analytics Engineer within our borrowing team to help build world class service for the bank of the future. You will play a critical role in overseeing our foundational data platforms, identifying and driving opportunities to enhance our current capabilities. Your expertise will be pivotal in allowing us to scale into new global markets, build new products and shape the future of how we serve our customers. We have a strong culture of data-driven decision making across the whole company. And we're great believers in powerful, real-time analytics and empowerment of the wider business. 🔑You’ll play a key role by... • Serving as a data architect for Monzo’s Borrowing data, contributing to the design and scalability of data models that measure the performance of our product suite., • Develop robust data models downstream of backend services, primarily in BigQuery, to support internal reporting, machine learning, large language models, as well as financial and regulatory use cases., • Be a key voice in shaping and maintaining best practices for our Data Warehouse, including source data payload design, logical data modelling, implementation, metadata, and testing standards., • Collaboratively set standards and work with data across Monzo, fostering knowledge sharing and continuously improving data practices., • Contribute to prioritising data governance issues, ensuring a comprehensive approach to data integrity and compliance., • Being a key technical leader who’s able to champion central platform initiatives that aim to elevate the data standards across Borrowing and beyond. 🤩We’d love to hear from you : • You have a strong passion for data modelling, ETL projects, and Big Data., • You enjoy working with data streams from various services, such as financial, transactional, and operational systems., • SQL and data modelling are second nature to you, and you are comfortable with general Data Warehousing concepts., • You are committed to continuous improvement, proactively identifying opportunities and addressing challenges in your work and the work of others., • You have experience building robust and reliable data sets that require a high level of control., • You enjoy working with cross functional fast moving teams and are passionate about serving our customers., • You are able to think strategically about credit products and how our underlying data models will unlock more insights for our team and more value for our customers., • You are excited about enabling other data scientists, analytics engineers and credit analysts by sharing your expertise on data architecture., • You have the ability to shape big, ambiguous data domains and get the required buy-in from key leaders across the business., • You are able to shape and manage the technical roadmap of an entire domain and execute against the project plan’s deliverables., • You are leading through the contributions of others by effectively leveraging the multiplier effect to create exponential value across Borrowing and Analytics Engineering., • Excel in cross-functional stakeholder communication (back-end engineers, product managers, and credit analysts), while also effectively engaging with senior technical leaders. The interview process: Our interview process involves 4 main stages: • Recruiter call, • Initial call, • Technical task, • 3 x 1 hours sessions (final interview) Our average process takes around 3-4 weeks but we will always work around your availability. What’s in it for you: 💰 £97,800-£125,000 base + _ ✈️ We can help you relocate to the UK ✅ We can sponsor visas 📍This role can be based in our London office, but we're open to distributed working within the UK (with ad hoc meetings in London). ⏰ We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team. 📚 Learning budget of £1,000 a year for books, training courses and conferences ➕ And much more, see our full list of benefits_ #LI-AS #LI-Remote

Experience designing data schemas and analytical databases. My client is based in the London area, is currently looking to recruit an experienced Data Engineer to join their AI Analytics team. They are currently going through a period of growth and are looking for an experienced Data Engineer to jo

Senior Data Engineer Remote UK | Occasional Travel.Senior Data Engineer | Azure | Microsoft Fabric | Data Platform | Python | SQL | Power BI | AI & Analytics.Solutions are partnering with a global organisation embarking on a significant data transformation programme.As investment in analytics, A

Recognized on the 2025 Forbes Cloud 100 list, ClickHouse is one of the most innovative and fast-growing private cloud companies. With more than 3,000 customers and ARR that has grown over 250 percent year over year, ClickHouse leads the market in real-time analytics, data warehousing, observability, and AI workloads. The company’s sustained, accelerating momentum was recently validated by a $400M Series D financing round. Over the past three months, customers including Capital One, Lovable, Decagon, Polymarket, and Airwallex have adopted the platform or expanded existing deployments. These customers join an established base of AI innovators and global brands such as Meta, Cursor, Sony, and Tesla. We’re on a mission to transform how companies use data. Come be a part of our journey! The Connectors team is the bridge between ClickHouse and the broader data ecosystem. We build and maintain the integrations that make ClickHouse accessible to millions of developers, data practitioners, and AI agents worldwide from high-level data visualization plugins (Tableau, PowerBI, Superset, Metabase) to connectors for data frameworks (Apache Spark, Flink, Kafka Connect, Fivetran), orchestration platforms, and AI tooling. Our work directly shapes how companies process massive datasets: real-time analytics platforms ingesting millions of events per second, observability systems monitoring global infrastructure, and increasingly, the AI-powered data applications redefining how teams work with data. We collaborate closely with the open-source community, internal teams, and enterprise users to ensure ClickHouse integrations set the standard for performance, reliability, and developer experience. As a Senior Software Engineer specializing in Python and the Data Ecosystem, you'll be a core contributor owning and evolving critical parts of ClickHouse's data engineering ecosystem. This role sits at the intersection of high-performance database engineering and developer experience. You'll craft tools that enable Data Engineers and Data Scientists to harness ClickHouse's speed and scale in the frameworks they already use. We're looking for someone who has lived the Data Engineer or Data Scientist experience firsthand. The data practitioner's world is shifting rapidly: databases are no longer just query targets, but they're becoming active participants in AI-powered workflows, serving as vector stores for RAG pipelines, backends for LLM-powered agents, and real-time feature stores for ML inference. You understand these workflows not from the outside, but because you've operated within them. You don't just build integrations, you bring product-level insight into what we should build and why. You'll own the full lifecycle of key Python integrations, driving architecture, performance, and feature direction across: • Orchestration Platforms: Apache Airflow, Dagster, Prefect, • Transformation Tools: dbt, SQLMesh, • AI & LLM Ecosystem: LangChain, LlamaIndex, n8n, and broader AI tooling: embedding pipelines, retrieval-augmented generation with ClickHouse as a vector store, ML feature stores, and LLM-powered data applications ClickHouse's columnar architecture and query performance make it exceptionally well-positioned in this new landscape. Your job is to make that potential real: building the robust, production-ready connectors that make ClickHouse the natural choice when data practitioners design their next-generation AI and data systems. • Own and evolve ClickHouse's Python connector and SDK ecosystem, raising the bar on performance, reliability, and API design, • Build and maintain integrations with orchestration platforms (Airflow, Dagster, Prefect) and transformation tools (dbt) to enterprise-grade quality standards, • Drive the AI/LLM integration strategy: designing connectors and patterns that make ClickHouse a natural fit in RAG architectures, ML feature pipelines, and LLM-powered data applications, • Engage actively with the open-source community: triage issues, support contributors, advocate for users, and shape the roadmap based on real-world feedback, • Collaborate with Product, Cloud, and other engineering teams to align integration work with broader platform priorities, • Bring a practitioner's perspective to roadmap decisions, grounding prioritization in genuine Data Engineer and Data Scientist workflows, • 7+ years of software development experience, ideally with hands-on time as a Data Engineer, Data Scientist, or ML Engineer, • Deep, proven experience designing, building, and maintaining production-grade Python connectors, SDKs, or integrations for at least one major platform (orchestration, BI, MLOps, or data transformation), • Solid experience with the Python data ecosystem: Pandas, NumPy, Pydantic, and related libraries, • Prior contributions to, or deep practical experience with, popular data orchestration tools (Airflow, Dagster, or Prefect), • Hands-on experience with AI/ML in data engineering contexts: embedding generation, vector search, feature pipelines, or LLM-powered tooling in production, not just experimentation, • Strong understanding of database fundamentals: SQL, data modeling, query optimization, and familiarity with OLAP/analytical databases, • Solid experience with concurrent Python: threading, multiprocessing, and async patterns, • Outstanding written and verbal communication skills; comfortable collaborating across engineering functions and with open-source communities Bonus points for: • Experience deploying AI/ML models in production, including inference APIs and vector databases, • Prior experience as a Data Engineer or Data Scientist in a product-facing or platform role, • Familiarity with ClickHouse or similar high-performance OLAP platforms, • Familiarity with the JVM ecosystem Eligible locations: • USA, • Canada, • UK, • Portugal, • Spain, • France, • Italy, • Germany, • Netherlands, • Poland, • Czech republic, • Israel, • UAE For roles based in the United States, the typical starting salary range for this position is listed above. In certain locations, such as the San Francisco Bay Area and the New York City Metro Area, a premium market range may apply, as listed. These salary ranges reflect what we reasonably and in good faith believe to be the minimum and maximum pay for this role at the time of posting. The actual compensation may be higher or lower than the amounts listed, and the ranges may be subject to future adjustments. An individual’s placement within the range will depend on various factors, including (but not limited to) education, qualifications, certifications, experience, skills, location, performance, and the needs of the business or organization. If you have any questions or comments about compensation as a candidate, please get in touch with us at _. • Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in 20 countries., • Healthcare - Employer contributions towards your healthcare., • Equity in the company - Every new team member who joins our company receives stock options., • Time off - Flexible time off in the US, generous entitlement in other countries., • A $500 Home office setup if you’re a remote employee., • Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. Culture - We All Shape It As part of our first 500 employees, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values . Check out our or follow us on _ to find out more about what’s happening at ClickHouse. Equal Opportunity & Privacy ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see _ for our Privacy Statement.

As Senior Data Engineer, you’ll help scale the data platform that powers decision making across Midnite. You’ll work on core platform improvements, reliable data pipelines, modern data tooling, and lower-latency analytics foundations that support the next stage of company growth. Cares about tes

Join DWP Digital and lead the future of data engineering in one of the UK's largest and most impactful digital environments.As a Senior Data Engineer, you'll join our Data Platform and Operations team within Data & Analytics, where you'll play a pivotal role in shaping how we design, build and evolv

Cyber Analytics Data Engineer | £500-£560p/day (Inside IR35) | 6 months initially | Manchester (Hybrid). Our client is looking for a Cyber Analytics Data Engineer to join a specialist team delivering advanced analytics solutions within a cybersecurity environment.

Promote consistency and good practices without over-engineering. Raise engineering standards across the team.

Data Engineer – Remote Working / London circ £60,000 - £70,000 Experienced Data Engineer required for this remote working / hybrid position based in West London (near Feltham, Hanworth, Hounslow etc). Ideally the successful candidate will be able to work on site once or twice a week, however the client would also consider candidates looking for a remote working role as long as they can be onsite once a month. The Data Engineer will join a small team and play a key role in developing and managing data integration projects as our client transitions data from legacy systems into modern infrastructure, reporting and analytics. The key responsibilities for the post include; • Design and develop a modern data warehouse (Azure or Snowflake), capable of ingesting data from multiple sources and that can store and organise large volumes of data., • Develop and implement an automated, repeatable data migration process suitable for use over multiple project phases., • Actively review data quality assessments, addressing any inconsistencies and apply data cleansing and validation techniques., • Build data pipelines that clean, transform, and aggregate data from disparate sources., • Stay up-to-date with emerging trends and technologies in data engineering. To be considered for the post you’ll need most, if not all the following:, • Proven experience (5 years+) in a data engineering or similar role, • Strong proficiency in SQL and database technologies (e.g. MS SQL, Snowflake), • Hands-on experience with ETL/ELT tools (Azure Data factory, DBT, AWS Glue, etc), • Strong Proficiency in Power BI and Advanced Analytics., • Good proficiency in Python for data processing, scripting and automation., • Any experience with DBT, Airbyte or similar transformation and replication products is advantageous., • Experience with data migration and mapping complex relational data between business systems., • Strong analytical skills with the ability to translate business requirements into data engineering solutions., • Excellent problem-solving abilities, attention to detail and ability to work independently or in a team., • Effective communication and interpersonal skills to foster relationships with stakeholders at all levels., • Degree in Computer Science, Information Systems, Data Science or a related field. Salary will be dependent on experience and likely to be in the region of £60,000 - £70,000. Candidates must be authorised to work in the UK and not require sponsoring either now or in the future. For further information, please send your CV to Wayne Young at Young’s Employment Services Ltd. YES acts in the capacity of both an Employment Agent and Employment Business.

The Company Nigel Wright Tech is pleased to be working closely with a unique consultancy in their search for a Data and AI Engineer. The Role You will play a key role in designing, developing and deploying machine learning models. Your work will directly contribute to transforming data into actionable insights, driving business growth and supporting decision making for clients. The Requirements This is a fantastic opportunity where you will get the chance to work on cutting edge AI projects within a collaborative and innovative environment. Key requirements include: • Experience in designing, developing and maintaining production ready, secure applications using AWS, GCP or Azure, • Exceptional stakeholder management skills with the ability to build strong relationships, • Implementation of data modelling and transformation processes to support advanced analytics and AI initiatives, • Explore and apply LLMs to build novel, AI driven applications, • Develop and maintain CI/CD pipelines to ensure seamless deployment and integration

Data Software Engineer (Python PySpark) Remote UK to £95k Are you a data savvy Software Engineer with strong Python coding skills? You could be progressing your career in a senior, hands-on Data Software Engineer role as part of a friendly and supportive international team at a growing and hugely successful European car insurance tech company as they expand their UK presence; their platform enables an insurance quote to be made to the consumer within 60 seconds, using just 4 clicks. As a Data Software Engineer within the Claims team you will help shape the architecture of data products, building reusable technology that enables teams to ingest, store, transform and serve their own data products. You'll take a lead in data transformation, setting up best practices in areas like Data modelling, performance optimisation and Data Governance to ensure that the data used within the business is consistent, available and reliable. You will be supported with continual learning and self development opportunities and will be encouraged to contribute to testing open source tools and engaging in community building activities such as meet-ups, keeping up to date with new and emerging technologies and methods. Location / WFH: You can work from home on a full time basis from anywhere in the UK or work a hybrid model from the London office depending on your location / preferences. About you: • You are degree educated in a relevant discipline, e.g. Computer Science, Mathematics, • You have a software engineering background with advanced Python and PySpark coding skills, • You have experience in batch, distributed data processing and near real-time streaming data pipelines with technologies such as Kafka, • You have experience of Big Data Analytics platform integration with AWS, • You have a strong understanding of RDBMS, Data Warehousing, Data Modelling, SQL (Redshift, PostgreSQL) and NoSQL databases, • You have a good appreciation of software engineering best practices, DevOps, CI/CD, IaC, • You have excellent communication skills What's in it for you: As a Data Software Engineer (Python Spark AWS) you will earn a competitive package: • Up to £95,000 salary, • Remote working including flexible working hours, • Workplace nursery scheme, • Enhanced maternity package, • 25 days holiday plus ability to buy or sell 5 days p/year + extra "duvet day", • Pension, Private Medical and Dental Insurance, Life Assurance, Employee Assistance Programme, • Weekly Yoga and monthly Acupuncture sessions, Headspace membership, • Diverse, inclusive team environment with a range of support networks, • A range of other perks including Perkbox, cycle to work, season ticket loan Apply now to find out more about this Data Software Engineer (Python Spark AWS) opportunity. Ref: PR/100084/A/KS/100725

Data Engineer 12 Month Fixed Term Contract Manchester - 1 day per week About Salix At Salix, we enable and inspire organisations to achieve net zero and create better places. We deliver and administer government funding schemes that improve energy efficiency, support clean power and help create warmer, healthier homes and resilient public buildings across the UK. Working with central government, local authorities, housing associations, universities, schools and hospitals, we combine funding delivery with practical expertise and insight to help organisations turn ambition into real-world impact. As we continue to grow and evolve, including supporting the delivery of the Warm Homes Plan and future strategic programmes, we are looking for talented people who want their work to contribute to a greener future. The Role We are seeking a skilled and motivatedData Engineerto join our growing Data & Analytics team. This is an exciting opportunity to help shape Salixs data capability during a period of significant organisational growth and transformation. You will play a key ...

Cyber Analytics Data Engineer | £500-£560p/day (Inside IR35) | 6 months initially | Manchester (Hybrid)

Cost Engineer - HYBRID Location: Construction Site based and/or Somerset Energy & Innovation Centre, Bridgwater, Somerset x3 days per week AND 2x days per week remote working Status: Contract (renewable) - Inside IR35 All-inclusive rates Reports to: Cost Manager Morson Edge are delighted to offer an opportunity for a suitably qualified and experienced Cost Engineer to join our client's established Team for work on a major infrastructure Project in Somerset. Contract role (renewable) - inside IR 35. All-inclusive rates. Principal Accountabilities • Produce and maintain accurate cost and forecast data in alignment with the Cost Breakdown Structure or Work Breakdown Structure (CBS/WBS), • Accurately maintain all Cost and Forecast data for their area of responsibility within the Cost and Forecast software system e.g. EcoSys, SAP, • Co-ordinate and produce Cost and Forecasting reports to a defined reporting cycle, including commentary on key time- related drivers and performance issues, • Assist in the Trend & Change process, including analysis at Project level, generating performance indicators and providing feedback on areas of risk and opportunities., • Delivers clear and concise insights to support robust decision-making utilising commercial and technical information to influence decisions., • Analytical support for Senior Cost Engineers through robust analysis and interpretation of technical, financial, and performance data to facilitate prioritisation and any necessary actions., • Applying fundamental project and business project controls principles and interfaces with wider management processes., • Help promote and embed a culture of good governance, risk awareness and compliance across the organisation. Knowledge, Skills, Qualifications & Experience • Understanding of project controls methodologies and techniques., • High attention to detail, ensuring accuracy of outputs and validity of quality data., • Analytical, critical thinking and problem-solving skills., • Effectively communicates complex issues and concepts (unique insights) in simple ways, to both technical and non- technical audiences., • Strong organisational and time management skills., • High standard of interpersonal skills, • Collaboration with colleagues within and across organisational boundaries to achieve mutually successful outcomes. Qualifications & Experience • Minimum of HND or equivalent qualification in project management, project controls, engineering, or another related field, • Experience in a Project Management environment, • Demonstrable experience of working in a project controls discipline., • Experience of working on a major construction project is desirable but not necessary, • Experience of working in the Nuclear Industry is desirable but not necessary Tools and Software The job holder may be expected to have expertise in the use and supporting training of others, of the following (or equivalent) software tools: • Microsoft Office software (Excel, Word, PowerPoint, Access), • Teamcenter (Document Control)., • EcoSys (Cost, Changes, Earned Value Management)., • Power BI (Business Intelligence Analytics)., • SAP (Financial). JBRP1_UKTJ

Reporting to the Enterprise Solution Architect, the Power Platform Solutions Architect is a senior member of the Solution Design team, responsible for shaping, designing, and governing modern Microsoft-based business solutions across razorblues client base. This role combines strong technical capability with commercial awareness and excellent customer engagement skills. Youll work closely with the customers, Solution Architects, Account Management, Development, and Project Delivery teams to ensure all proposed solutions are scalable, secure, commercially viable, and aligned with best practice. Youll support pre-sales engagements, contribute to architectural design, and act as a trusted advisor throughout project delivery. The ideal candidate will have hands-on experience across the Microsoft ecosystem, with particular focus on Power Platform, Microsoft Fabric, Microsoft 365, and emerging AI technologies such as Copilot and AI Builder. Youll be comfortable switching between customer workshops, technical design sessions, pre-sales discussions, and hands-on solution guidance when required. This is a customer-facing role requiring strong communication skills, commercial awareness, and the ability to simplify technical concepts for both technical and non-technical audiences. Our perfect candidate should have a wealth of knowledge spanning various technologies and being able to use these skills to troubleshoot and deliver five star solutions that keep our clients happy is a must! Customer service is paramount to us, which is why we only look for candidates with excellent customer facing skills and the ability to communicate effectively. Your friendly tech-savviness will truly shine here. razorblue requirements: We know its unrealistic to find someone who ticks all of these boxes (extra points if you do), which is why we seek those eager to develop over time through our development resources and peer learning. If this aligns with your own personal growth mindset, we would love you to apply. Key responsibilities and accountabilities Solution Design & Pre-Sales (40%) • Lead the design of scalable Microsoft-based business solutions for new and existing clients., • Produce and review technical design documents (HLDs) in line with razorblue standards., • Design solutions leveraging technologies such as Power Apps, Power Automate, Dataverse, Microsoft Fabric, Power BI, and Microsoft 365., • Support the integration of AI capabilities including Microsoft Copilot, AI Builder, and related Microsoft AI technologies where appropriate., • Join client meetings and workshops to gather requirements and translate them into practical technical solutions., • Present proposed solutions confidently to technical and non-technical stakeholders., • Support Account Managers and the Solution Architect team in preparing technical proposals, statements of work, and project scopes. Microsoft Data, Power Platform & AI Strategy (20%) • Act as a subject matter expert across Power Platform, Microsoft Fabric, and Microsoft AI technologies., • Guide clients on best practice around governance, security, licensing, and platform adoption., • Help customers modernise manual processes, spreadsheets, and legacy workflows using Microsoft technologies., • Support the development of internal standards, templates, and reusable solution frameworks., • Stay current with Microsoft roadmap developments, particularly around AI, Copilot, Fabric, and the Power Platform ecosystem., • Promote best practice for low-code development, environment strategy, and solution lifecycle management. Project Delivery & Technical Leadership (20%) • Work alongside the Project Management and the Development team to support successful project delivery., • Provide technical guidance and architectural oversight throughout implementation phases., • Assist in resolving complex technical challenges across client environments., • Ensure solutions are aligned with security, compliance, and operational best practices., • Support testing, validation, and handover activities where required., • Contribute to continuous improvement across delivery methodologies and technical standards. Mentoring & Knowledge Sharing (20%) • Improve technical capability across the business through mentoring and knowledge sharing., • Support Consultants and Engineers with solution design guidance and technical coaching., • Contribute to internal workshops, documentation, and training initiatives., • Encourage innovation and adoption of emerging Microsoft technologies across the wider team.Person Specifications Qualification Must hold Full UK Driving Licence Relevant Microsoft certifications desirable, such as: Microsoft Power Platform Solution Architect Expert Microsoft Fabric Analytics Engineer Associate Microsoft Azure Fundamentals / Administrator Microsoft AI or Copilot related certifications Relevant Microsoft infrastructure or cloud qualifications desirable Experience • Microsoft Stack experience including Microsoft 365 and Azure Power Platform experience including: Power Apps Power Automate Dataverse Power BI • Working knowledge of Microsoft Fabric and modern data platforms, • Understanding of Microsoft AI technologies including Copilot and AI Builder, • Experience designing customer-facing technical solutions, • Pre-sales, workshop, or consultancy experience, • Cloud platform experience including Microsoft Azure, • Understanding of governance, security, and best practice within Microsoft environments, • Experience producing technical documentation and solution designs Skills • Excellent customer engagement and stakeholder management skills, • Ability to communicate confidently with technical and non-technical audiences, • Strong problem-solving and solution design capability, • Commercial awareness and ability to balance technical and business priorities, • Ability to work independently and perform own research, • Professional presentation and communication skills, • Strong written and verbal communication skills, • Passion for modern Microsoft technologies and continuous learning Continuous learning and development are central to our culture, and we heavily invest in elevating our people, not just hiring those already at an expert level. razorblue gives: Working for an IT partner isnt for the faint hearted, it requires drive, passion for technology, collaboration, and a drive to innovate. If you want to learn more about the IT domain as a whole or specialise in one particular area, you can do that here. We are not looking for the most qualified people, but people who have a true drive to learn and a passion for the technology sector. Our learning and development opportunities, combined with our team's drive for growth, result in a high volume of promotions granted year after year. We operate a hybrid working policy across most roles and often get asked why we havent made the decision to go fully remote For us, natural learning opportunities are invaluable and office working enables this and has also inspired our collective culture of teamwork. Our other benefits include: • Base salary of £55,000 - £60,000 per annum depending on skills and knowledge, • Hybrid working (50%), • Flexible working to suit your work life fit, • 25 days holidays per annum + public holidays + the ability to purchase 10 more, • Private Health Insurance with Vitality Health, • Your birthday off, • Enhanced maternity, paternity, adoption leave + baby bonus, • Fully funded training and accreditations to expand your skillset, • Two paid charity volunteering days per year, • Discounted Broadband, • Life insurance, • Quarterly team social fund, • Cycle to Work scheme, • Gear up with the latest tech toys through our partnership with Currys, • Cruise around in an eco-friendly electric car with our EV Scheme We're committed to creating an inclusive and accessible recruitment process. Please don't hesitate to reach out if you require any reasonable adjustments to participate in our application or interview process. We're here to support you. Agencies/Recruiters Please Note: To maintain an efficient and direct application process, we ask that recruitment agencies refrain from contacting us regarding our vacancies. We encourage individual candidates to apply directly through our website, as it enables us to manage our hiring process more effectively. Razorblue does not accept unsolicited speculative CVs. We take no liability for fees or commissions if hiring someone who applied directly or was sourced through other means. Any emailed disclaimers indicating otherwise will not supersede this policy. Candidates must be submitted only in response to specific requisitions from our talent acquisition team. Your cooperation in this matter is greatly appreciated and contributes to our efforts in finding the best possible fit for our team. Rest assured; we'll reach out if we ever need assistance from agencies. Thanks for understanding! JBRP1_UKTJ

AJ Bell Management Limited is seeking a data professional to support the migration of reporting assets from SSRS to Snowflake.

Sivara GmbH is seeking a Data Engineer in Manchester to support the Data & Analytics team. Responsibilities include building data ingestion processes and collaborating with stakeholders to translate needs into scalable solutions. This role focuses on developing ETL/ELT pipelines and ensuring data qu

Senior Software Engineer based in Manchester, UK, to design and develop APIs and Big Data pipelines.The role demands deep expertise in API development via Spring Boot and knowledge of Apache Spark.You will work closely with cross-functional teams to deliver robust data solutions.The ideal candidate

A leading financial services firm in Manchester is seeking an experienced Data Engineer to support their investment and decision science teams. This full-time role focuses on data quality and governance, while assisting with the migration to cloud technologies. Candidates should have 3+ years of exp

QA / Test Engineer – Data (Outside IR35 Contract) Department: Data & Technology Location: Manchester (Hybrid – 3 days per week onsite) Reporting to: Engineering Delivery Lead Contract Type: Outside IR35 - 6 months initial Day rate: £(Apply online only) per day Direct Reports: None About the Business Our client is a well-established international consumer brand operating across multiple global markets, serving millions of customers every year through a high-volume retail and digital ecosystem. As part of a significant business-wide transformation, they are investing heavily in modernising their data estate to become a more customer-centric, digitally enabled organisation. This is a key opportunity to join during a major phase of growth and transformation. About the Programme This role sits within a large-scale data modernisation programme focused on replatforming and transforming enterprise-wide reporting and analytics capabilities. Over the next 9–12 months, the business is migrating from legacy on-premise data warehouses to a modern cloud-based architecture built around Snowflake, dbt, Fivetran, and Azure. The programme spans multiple international markets and is business-critical, with strong visibility from senior leadership. The environment is fast-paced, highly collaborative, and focused on delivering a scalable, reliable data platform. The Role The QA / Test Engineer will play a key role in ensuring the accuracy, reliability, and integrity of the new data platform. This is a specialist data testing role rather than traditional application or UI testing. The focus is on validating data pipelines, transformations, reconciliations, and automated quality frameworks across a modern cloud stack. Working closely with Data Engineers, Business Analysts, and stakeholders, you will design and implement robust testing frameworks covering dbt models, data reconciliation, regression testing, and CI/CD integrations. The fixed-term route will focus heavily on parallel running and migration cutover activities. Key Responsibilities Design and execute testing strategies across the modern data platform, including unit, regression, reconciliation, and data quality testing. Build and maintain dbt test frameworks (generic, singular, and custom tests). Develop automated reconciliation suites comparing outputs between legacy warehouse environments and new cloud-based outputs at row, column, and aggregate levels. Embed testing into CI/CD pipelines to prevent defects reaching production. Define and own the wider data quality framework, including monitoring, alerting, and remediation processes. Translate business requirements into testable and automated validation criteria. Investigate and document data quality issues identified through monitoring or business users. Maintain regression coverage for critical business reporting datasets. Promote testing best practices across engineering teams, improving test coverage and code quality. Support release sign-off and contribute to go/no-go deployment decisions. Partner with business stakeholders during UAT cycles to ensure successful delivery.Skills & Experience Essential 3+ years’ experience in QA, Test Engineering, or Data Quality Engineering within data platform environments. Strong SQL skills, including complex query writing for reconciliation and validation. Experience building automated testing frameworks in modern data stacks (e.g. dbt, Great Expectations, Soda, Python-based frameworks). Hands-on experience with at least one modern cloud data warehouse (Snowflake preferred). Experience integrating tests into CI/CD pipelines (GitHub Actions, Azure DevOps, or similar). Strong understanding of data validation, transformation testing, and reconciliation methodologies. Comfortable working with Git-based workflows and pull request processes. Strong written communication and defect documentation skills. High attention to detail with a pragmatic, delivery-focused mindset. Must have the right to work in the UK without sponsorship.Desirable Experience supporting data migration or modernisation programmes. Background in reconciling legacy warehouse platforms (MSSQL, Oracle, Teradata) with cloud-based platforms. Python for test automation. Experience testing downstream BI outputs (Power BI or similar). ISTQB or equivalent certification. Exposure to data observability tools (Monte Carlo, Bigeye, Elementary). Experience in retail, hospitality, e-commerce, or other high-volume transactional environments.Why Apply? Genuine opportunity to own and shape data quality within a major transformation programme. Work with a modern data stack: Snowflake, dbt, Fivetran, Azure. High-impact work supporting critical reporting for finance, operations, and commercial teams. Opportunity to influence engineering best practices in a growing data function. Competitive salary and benefits package. Hybrid working model based in Manchester

Senior AI Engineer – Manchester A growing technology-led business is seeking a Senior AI Engineer to play a pivotal role in shaping and delivering its AI strategy. This is a senior-level, hands-on position responsible for designing, building, and deploying enterprise-grade AI solutions that drive measurable business value across the organisation. Working closely with IT, Data, Engineering, and senior business stakeholders, you will lead the development and implementation of advanced AI solutions, leveraging Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents, Machine Learning, and Azure AI services. You will provide technical leadership, establish best practices, and help build the organisation’s long-term AI capability. The business is investing heavily in AI and is looking for someone who can combine deep technical expertise with strategic thinking, taking solutions from concept through to production deployment and adoption. The ideal candidate will have a strong foundation in AI Engineering combined with a robust Data Science background, enabling them to develop, evaluate, and optimise AI solutions that deliver measurable business outcomes. This role would suit an experienced AI professional who enjoys solving complex business challenges, mentoring others, influencing technical direction, and delivering innovative AI solutions at scale. Role Purpose As a Senior AI Engineer, you will lead the design, development, deployment, and optimisation of enterprise AI solutions, ensuring they are secure, scalable, maintainable, and aligned to business objectives. You will act as a subject matter expert for AI technologies, helping to define architecture, establish standards, and guide the organisation’s AI roadmap while remaining hands-on with implementation. Key Responsibilities Design, develop, and deploy advanced AI and Machine Learning solutions to solve complex business challenges. Lead the architecture and implementation of production-grade AI applications using LLMs, RAG pipelines, AI Agents, and Azure AI services. Provide technical leadership across AI initiatives, ensuring solutions follow best practices for scalability, security, performance, and governance. Own the full AI development lifecycle, from discovery and proof-of-concept through to production deployment and business adoption. Develop and optimise AI models, prompt engineering frameworks, vector databases, and retrieval systems. Design and implement AI agent architectures, workflow automation, and API integrations. Collaborate with Infrastructure and Engineering teams to deploy AI solutions securely within enterprise environments. Ensure solutions leverage Private Endpoints, secure networking, identity management, and enterprise-grade governance controls. Establish monitoring, evaluation, and observability frameworks for AI systems, including hallucination detection, model drift monitoring, performance tracking, and cost optimisation. Partner with operational and commercial stakeholders to identify high-value AI opportunities and define business cases. Measure and report on AI project outcomes, including efficiency gains, automation benefits, cost savings, and customer experience improvements. Mentor and support other technical team members, promoting AI best practices and knowledge sharing across the organisation. Contribute to the development of the organisation’s AI strategy, roadmap, and future capability. Required Experience Essential Significant commercial experience in AI Engineering, Machine Learning Engineering, Applied AI, or Data Science roles. Expert-level Python development skills and deep experience with modern AI/ML frameworks and SDKs. Proven experience designing and deploying production-grade RAG solutions and LLM-powered applications. Strong experience building and deploying AI agents, orchestration frameworks, and automated workflows. Experience with Azure AI Services, Azure OpenAI, Azure Machine Learning, or equivalent enterprise AI platforms. Strong understanding of enterprise cloud architecture, including VNets, Entra ID, API Gateways, networking, and secure integrations. Experience deploying and managing AI workloads within production environments. Strong SQL and data engineering skills, working with both structured and unstructured datasets. Ability to translate complex datasets into actionable insights and AI-driven business solutions. Experience implementing AI governance, security, monitoring, and operational best practices. Excellent communication, leadership, stakeholder management, and problem-solving skills. Highly Desirable Strong Data Science background, with experience in statistical modelling, predictive analytics, feature engineering, experimentation, and model evaluation. Experience applying Data Science methodologies to solve complex business problems and identify opportunities for AI adoption. Experience with GenAIOps, LLMOps, MLOps, and AI observability platforms. Exposure to Computer Vision, OCR, Voice AI, Conversational AI, or multimodal AI solutions. Experience working within operational, retail, automotive, logistics, or customer-centric organisations. Knowledge of Responsible AI, AI governance frameworks, and regulatory considerations. Previous experience leading AI initiatives, mentoring engineers, or helping define AI strategy and roadmap. Experience building or contributing to an AI Centre of Excellence or internal AI capability function. What We're Looking For We're looking for someone who combines deep technical expertise with commercial awareness and a pragmatic approach to AI delivery. You'll be comfortable operating at both strategic and hands-on levels, engaging with senior stakeholders while also designing, developing, and deploying solutions yourself. You should be passionate about emerging AI technologies and have a track record of turning innovative ideas into production-ready solutions that create measurable business value. Salary & Benefits Competitive salary depending on experience Quarterly bonus scheme Hybrid working arrangement – 3 days in the office / 2 days remote Opportunity to lead and shape enterprise AI capability Exposure to high-profile AI transformation initiatives Strong long-term career progression opportunities Ongoing investment in training, certifications, and professional development Interested? If you're an experienced AI Engineer or Data Science professional looking to take ownership of impactful AI initiatives and help shape the future direction of AI within a growing organisation, we'd love to hear from you. Apply now for the Senior AI Engineer opportunity in Manchester. Senior AI Engineer – Manchester