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Reporting to the Head of AI & Innovation, and working with a small team of Data Engineers, you will play a key role in building a greenfield hybrid data platform to support firm-wide analytics and client-facing AI products (which the Senior Data Engineer will help to build). Our client, a leading UK

🚀 We’re Hiring: Data & DevOps Engineer (Biotech) Help shape the future of immune therapies. A fast-growing biotech company is on a mission to tackle immune dysfunction — a root cause of many cancers, autoimmune conditions, and infectious diseases. By developing first-in-class antigen modulation technologies, the team is pioneering a new approach to controlling how the immune system recognises and targets cells. As the company enters its next phase of growth, we’re looking for a Data & DevOps Engineer to join the IT function and play a key role in building scalable, secure, and reproducible data systems that support cutting-edge science. 🔍 The Role This position sits at the intersection of IT, data, and scientific teams (including Bioinformatics). You’ll lead on designing and delivering modern data infrastructure and DevOps practices that enable high-quality, reproducible research and analytics. 🛠 What You’ll Be Doing • Design and maintain secure, scalable cloud infrastructure (AWS), • Build and optimise CI/CD pipelines for scientific workflows (e.g. Nextflow), • Implement containerisation (Docker) for reproducibility and traceability, • Develop infrastructure-as-code (e.g. CloudFormation), • Architect data pipelines and platforms for structured and unstructured data, • Integrate analytics tools (e.g. Power BI, Spotfire, Microsoft Fabric), • Enhance data governance, lineage, and auditability, • Collaborate closely with scientists and bioinformaticians, • Produce clear technical documentation, • Manage external vendors supporting cloud infrastructure, • Continuously improve systems and processes ✅ What We’re Looking For • Experience in DevOps, Platform Engineering, or similar within biotech, pharma, or life sciences, • Strong expertise in AWS, Docker, and CloudFormation, • Hands-on experience with Linux systems and CI/CD pipelines, • Experience designing data pipelines and ETL processes, • Understanding of data modelling and master data management, • Ability to collaborate effectively with scientific stakeholders ⭐ Nice to Have • Experience in regulated or research-driven environments (data governance, reproducibility), • Exposure to Microsoft Fabric, Azure data services, or modern BI tools, • Experience with AI services (e.g. Amazon Bedrock), • DevOps/security certifications, • API integration experience 🌱 Why Join? • Be part of a company driving a fundamental shift in disease treatment, • Work at the cutting edge of science, data, and engineering, • Collaborate with world-class researchers and technologists

Data Engineer Manchester (hybrid, 2 days in the office) £70,000 to £90,000 This is an opportunity to join a scaling SaaS business where data sits at the heart of the product. You will play a key role in shaping modern data infrastructure that directly supports machine learning systems, real time decision making, and measurable commercial outcomes. The role offers high ownership, greenfield projects, and the chance to influence how data is used across the organisation as it continues to grow. The Company They are a UK based technology scale up building a privacy first, cookieless platform that helps businesses protect and optimise their digital marketing spend. Using machine learning and large scale behavioural data, they analyse vast volumes of traffic in real time to identify low quality or invalid activity. With offices in London and Manchester, they operate at Series A stage with strong funding and a collaborative, engineering led culture. The Role You will sit within the Data and Platform function, working closely with Data Science, Engineering, and Product teams to design and run reliable, scalable data systems. Key responsibilities include: • Designing and owning batch and streaming data ingestion pipelines on AWS, • Building and maintaining ML ready datasets to support model training, inference, and experimentation, • Improving data warehouse design and performance within AWS Redshift, including refactoring poorly structured data, • Integrating new and underused data sources to unlock additional value, • Supporting feature store development and data pipelines for A/B testing and analytics tools, • Optimising data systems for cost, performance, reliability, and data freshness, • Strong commercial experience building production grade data pipelines using Python and SQL, • Hands on experience with AWS data services such as S3, Redshift, Glue, Athena, and streaming technologies like Kinesis, • Experience working with large scale, high velocity event data and understanding the trade offs around cost, performance, and reliability, • Ability to think beyond implementation and understand how data supports business and product outcomes, • Comfortable collaborating across Data, Engineering, and Product in a fast moving environment If you are interested in building high impact data systems in a growing SaaS environment, apply now to find out more about this opportunity.

About Quantiphi: • Quantiphi is an award-winning, AI-First digital engineering and consulting company focused on delivering high-impact Services and Solutions that help organizations solve what truly matters. We partner with enterprises to reimagine their businesses through intelligent, scalable, and transformative AI—driving measurable outcomes at the very core of their operations., • Since our founding in 2013, Quantiphi has tackled some of the world’s most complex business challenges by combining deep industry expertise, disciplined cloud and data engineering practices, and cutting-edge applied AI research. Our work is rooted in delivering accelerated, quantifiable business value—not just technology for technology’s sake., • Headquartered in Boston, Quantiphi is a global organization with 4,000+ professionals serving clients across key industry verticals, including BFSI, Healthcare & Life Sciences, CPG, MFG, TME etc. As an Elite and Premier partner to leading cloud and AI platforms such as NVIDIA, Google Cloud, AWS, and Snowflake, we build and deliver enterprise-grade AI services and solutions that create real-world impact. We have been recognized with: • 3x AWS AI/ML award wins., • 3x NVIDIA Partner of the Year titles., • Recognized Leaders by Gartner, Forrester, IDC, ISG, Everest Group and other leading analyst and independent research firms., • We offer first-in-class industry solutions across Healthcare, Financial Services, Consumer Goods, Manufacturing, and more, powered by cutting-edge Generative AI and Agentic AI accelerators., • We have been certified as a Great Place to Work for the third year in a row- 2021, 2022, 2023. Be part of a trailblazing team that’s shaping the future of AI, ML, and cloud innovation. Your next big opportunity starts here! For more details, visit: ___ or ___. Role: Cloud Data Architect (AWS) Experience Level: 8+ years Employment type: Full Time Location: Remote (UK) Description: • We are seeking a highly skilled AWS Data Migration & Data Engineering Consultant to lead end-to-end data migration initiatives across on-prem, cloud, and multi-cloud environments into AWS., • This role focuses on defining and executing data migration strategies, including assessment, wave planning, migration execution, and post-migration stabilization, while ensuring data integrity, minimal downtime, and alignment with business SLAs., • The ideal candidate brings strong experience in cross-platform database migrations (Oracle, SQL Server, MySQL, or cloud-native systems) combined with deep expertise in AWS data engineering services and modern data pipeline development. Key Responsibilities: • Lead end to end database migrations to AWS from diverse sources, including on-premises systems (e.g., Oracle, SQL Server, MySQL) and other cloud platforms (e.g., GCP, Azure)., • Lead end-to-end data migration strategy and execution, including assessment, dependency mapping, and wave planning., • Design and implement migration frameworks using AWS DMS, SCT, Glue, and Redshift., • Define and execute data validation, reconciliation, and cutover strategies ensuring zero/low data loss., • Enable CDC-based replication and minimal downtime migrations across heterogeneous systems., • Design and optimize ETL/data pipelines using AWS Glue, PySpark, or EMR., • Architect and implement scalable, secure, and highly available data platforms on AWS., • Drive schema conversion and modernization strategies (heterogeneous migrations where applicable)., • Optimize performance of source and target systems pre- and post-migration., • Manage and govern S3-based data lakes and metadata using Glue Data Catalog., • Collaborate with application, infrastructure, and analytics teams for seamless migration and stabilization., • Implement monitoring, rollback, and failure recovery mechanisms., • Ensure adherence to security, governance, and compliance standards. Skills: • 8+ years of experience in database migration and data engineering., • Proven experience in cross-platform data migrations (on-prem to cloud or cloud to cloud)., • Experience designing and implementing data validation and reconciliation frameworks., • Strong experience in ETL/data pipeline development (Glue, PySpark, EMR, or equivalent)., • Deep proficiency in SQL and data modeling concepts., • Experience working with S3-based data lakes and Glue Data Catalog., • Strong understanding of CDC, transaction consistency, and migration cutover strategies., • Hands-on experience with performance tuning, schema design, and query optimization., • Proficiency in Python/PySpark and scripting (Shell/Python)., • Experience with Oracle, SQL Server, MySQL, PostgreSQL, or cloud-native databases., • Strong hands-on expertise with:, • AWS DMS (Database Migration Service)., • AWS SCT (Schema Conversion Tool)., • AWS Glue (ETL & data integration)., • Amazon Redshift (data warehousing). Nice to Have: • Exposure to real-time replication tools (e.g., GoldenGate or equivalent)., • Database Administration (DBA) expertise, including backup & recovery strategies, HA/DR design, database patching and upgrades, lifecycle management, capacity planning, performance monitoring, and security hardening., • Experience with Lake Formation and data governance frameworks., • Familiarity with Data Mesh and cross-account data sharing architectures., • Experience with CI/CD for data pipelines (CodePipeline, Jenkins, etc.)., • Knowledge of Infrastructure as Code (Terraform / CloudFormation)., • AWS Certifications (Solutions Architect / Data Engineer)., • Experience in mentoring teams and leading large-scale migration programs. What is in it for you: • Make an impact at one of the world’s fastest-growing AI-first digital engineering companies., • Upskill and discover your potential as you solve complex challenges in cutting-edge areas of technology alongside passionate, talented colleagues., • Work where innovation happens - work with disruptive innovators in a research-focused organization with 60+ patents filed across various disciplines., • Stay ahead of the curve—immerse yourself in breakthrough AI, ML, data, and cloud technologies and gain exposure working with Fortune 500 companies.

About Euphoric: Euphoric builds AI-first employee benefits administration software for the world’s largest and most prestigious employers. Born out of Peppy Health — a fast-growing, category-defining Series B startup — we spun out in May 2025 to tackle a far bigger opportunity. Global employers spend $3–5 trillion on benefits every year. It’s their second-largest cost after payroll — yet the entire category is still running on legacy systems and outdated assumptions. The space is primed for transformation: despite its scale, it’s been almost completely overlooked by AI-first startups. Incumbents — including one U.S. heavyweight with $2B+ in annual revenue — are constrained by archaic tech stacks and can’t move fast enough to innovate. And this isn’t just a massive market — it’s genuine “tech for good.” Smarter benefits administration, richer analytics, and clearer communication have the power to directly improve the everyday lives, wellbeing, and financial security of millions of employees worldwide. We’re a sharp, high-velocity team with bold ambitions, obsessed with building category-defining technology and partnering with exceptional people who want their work to truly matter. We closed our seed round in October 2025 and are building from a position of strength with a long cash runway. The role: We’re looking for a Software Engineer to bring their ambition, creativity, and technical prowess to join our high-powered team to build the technology that powers the world’s first lovable, AI-native benefits platform. You’ll have real ownership, big targets, and a chance to help shape both the work you do and the company in general. We care less about traditional career paths and more about raw talent, bias for action, and how much fire you bring. What you’ll do: • Build AI-first features end-to-end: You’ll contribute to the design, deployment, and iteration of our next-generation benefits platform features that leverage personalization, experimentation, and AI/ML methods (e.g. agents/LLMs, recommender systems, reinforcement learning) to enhance user experience in a meaningful business domain., • Contribute across the tech stack: You’ll work in React (JavaScript/TypeScript) on the frontend and Python (FastAPI, SQLAlchemy) on the backend, shipping production-ready code and user-facing features in addition to innovative ML work., • Live on the cutting edge of AI tooling: You’ll help push the boundary of what’s feasible with modern AI-powered software development tools (Cursor, Windsurf), keep up with the regular drumbeat of AI advances, and find new and exciting ways to build and explore new features faster., • Participate in a fast-paced iterative environment: Collaborate closely with design, product, and beyond to deliver and iterate on impressive features and prototypes at world-class pace., • Keep code clean and well-tested: Maintain clean, efficient, and tested code with clear documentation for both peers and future reference., • Review, refine, and grow: Actively participate in peer reviews, CI/CD processes, and a growth-minded engineering culture, where you continuously seek to level up your technical skills., • Be a team player: Sometimes you’ll be iterating on ML pipelines; other times you’ll be refining a frontend component or fixing a tricky bug. We need someone who’s excited about the full product journey and moving together as one. Skills & experience: • Industry Experience (2+ years): Prior experience contributing to impactful products in fast-paced or startup environments, with an understanding of both scale and quality from larger tech organisations., • Hands-On Full Stack Skills: Proficiency in React/Typescript and/or Python (RESTful APIs, data pipelines), plus comfort with deploying and maintaining services on modern cloud platforms (GCP preferred, AWS or Azure also fine)., • Applied AI/ML Skills: First-hand experience building and delivering AI/ML features to real users, and an insatiable curiosity to keep up with emerging technologies and trends, • Team-Oriented Mindset: Strong communication skills for explaining complex ideas to technical and non-technical audiences, and a passion for collaborating within cross-functional teams., • Passion and Pride in Shipping: A do-whatever-it-takes attitude to deliver against important business goals that help the entire team win, • Pragmatic Best Practices: An overarching desire to build efficient, scalable, and maintainable code, while learning the tradeoffs between technical debt and delivery speed What we look for: We’re a great bunch but we have some "Euph" cultural non-negotiables. To do well here you will: • Thrive in fast-paced, feedback-rich environments, • Take your work seriously, but not yourself, • Be proactive, playful, and deeply curious, • Want to build something that matters, • Be willing to “do what it takes” What you’ll get: • Salary between £90k - £110k dependent on experience, • Remote-first setup with optional shared work space pass and hubs in London (We will only consider UK or Europe based candidates, with a preference for those closer to London), • Apple devices and the best AI tooling, • Private healthcare via Vitality, • 3% employer pension contribution (min 3% employee contribution), • Meaningful early-stage share opportunities, • 25 days holiday per year, plus bank holidays, • Career rocket fuel - real growth, real ownership, real impact

About Complexio Complexio is the intelligence layer for enterprise AI. Our platform builds a connected understanding of how businesses actually operate - across people, processes, and systems. Enterprises have invested heavily in AI platforms, copilots, and data infrastructure - yet daily work still runs on manual hand-offs and thousands of unseen tasks buried in emails, chats, and spreadsheets. Complexio closes that automation gap. Our Event Knowledge Graph ingests structured and unstructured data to create a living map of how an organisation truly works - every task, interaction, and dependency. Our Context Broker unifies this knowledge across enterprise systems in real time, enabling our Orchestration layer and Enterprise Automator to discover, design, and execute workflows autonomously. Stevie, our conversational AI assistant, gives teams a natural way to query and act on that intelligence. Complexio deploys securely within your infrastructure and integrates with the enterprise platforms you already run on - turning organisational knowledge into measurable business outcomes. A joint venture between Hafnia and Símbolo, backed by leading maritime partners including Marfin Management, C Transport Maritime, Trans Sea Transport, and BW Epic Kosan. Born in maritime, now scaling rapidly across industries. We are now onboarding enterprise customers globally, with a platform built to handle the pace and complexity of real business operations. Role Purpose Enterprise organisations do not buy software - they fund outcomes. The Value Engineer exists to make the connection between Complexio's platform capabilities and the specific, quantified business outcomes each customer cares about, at every stage of the relationship. Value engineering as a discipline has become a defining commercial capability at the world's leading enterprise software companies. ServiceNow built a global Value Engineering practice to justify platform ROI at scale. Celonis pioneered value engineering in the process mining space, making quantified process improvement the centrepiece of every enterprise deal. SAP's Value Advisors and Salesforce's Business Value Consultants have made the ability to prove financial return a standard expectation in enterprise software procurement. Complexio is building this capability now - at the stage where it will have the most impact on commercial outcomes. This role sits at the intersection of business consulting, commercial strategy, and deep operational understanding. You are not a sales support function. You are an independent, credible business advisor who earns the trust of customer CFOs, COOs, and operational leadership by doing rigorous work - identifying where value is being lost, modelling what recovery is worth, and demonstrating with evidence what Complexio has actually delivered. Key Responsibilities Value Discovery & Business Case Development • Lead structured value discovery engagements with prospective customers - working with operational, financial, and technology stakeholders to identify and quantify the cost of their current automation gap, • Map customer operational workflows to Complexio's platform capabilities, identifying the specific processes, hand-offs, and inefficiencies where the EKG, Context Broker, Enterprise Automator, and Stevie create measurable impact, • Translate business case outputs into executive-ready materials - CFO-grade financial models, board-level summaries, and ROI one-pagers that withstand scrutiny from finance and procurement stakeholders, • Validate assumptions with customers through structured interviews, data analysis, and process observation - never building a business case on hypotheticals that will be challenged at approval Pre-Sales Value Engagement • Partner with Sales, Client Directors, and Solutions Consultants in enterprise sales cycles - joining customer engagements specifically to lead the value and business case workstream, • Run executive value workshops with customer C-suite and operational leadership - structured sessions that move from pain identification through to quantified opportunity in a single engagement, • Produce deal-specific value narratives and ROI models that are calibrated to each customer's operational context, financial metrics, and internal approval process, • Equip the sales team with reusable value frameworks, benchmark data, and industry-specific ROI models that accelerate deal cycles across similar customer profiles, • Support commercial proposal development by providing the financial and business value content that underpins pricing, contract structure, and deal terms Post-Sale Value Realisation • Own the value realisation framework for Complexio's customer base - defining how value is tracked, measured, and reported from deployment through to steady-state operation, • Establish baseline metrics with customers at the point of deployment - agreeing the operational and financial KPIs against which Complexio's impact will be measured Value Benchmarking & Market Intelligence • Build and maintain Complexio's value benchmark library - a structured, continuously updated repository of outcome data across customers, sectors, use cases, and platform capabilities, • Develop sector-specific value models for Complexio's primary markets - maritime operations, energy trading, industrial workflow management - grounded in real customer data and validated against industry benchmarks, • Track and analyse how value accrues over time across the customer base - identifying which deployment patterns, use cases, and adoption sequences drive the fastest and largest outcomes, • Monitor competitive value positioning - understanding how Complexio's ROI profile compares to alternatives including Microsoft Copilot, Celonis, and incumbent manual processes Internal Value Enablement • Build and maintain a value engineering toolkit accessible to the broader commercial team - including value discovery frameworks, ROI calculators, benchmark data packs, and executive presentation templates, • Partner with Product and Engineering to ensure that Complexio's platform instrumentation supports value measurement - advocating for the telemetry, reporting, and analytics capabilities that make value realisation visible to customers, • Feed value data and customer outcome evidence back into Complexio's product prioritisation process - ensuring the roadmap is guided by where the platform creates the most demonstrable impact Executive & C-Suite Engagement • Engage directly with CFOs, COOs, and operational leadership as a credible, independent business advisor - not as a vendor representative, • Lead or co-lead executive value presentations and business case reviews at board and C-suite level - with the financial and operational rigour to withstand challenge from sophisticated buyers, • Shadow Co-CEOs and the CRO in strategic customer engagements as required - providing the value and ROI narrative in high-stakes commercial discussions, • Build long-term advisory relationships with senior customer stakeholders that extend beyond individual deals and create durable commercial anchors What We're Looking For Essential • 6+ years in a value engineering, value advisory, business value consulting, or management consulting role - ideally with direct experience in enterprise software, process automation, or AI/data platform contexts, • Demonstrable experience building and presenting rigorous business cases and ROI models to C-suite and finance stakeholders - models that have withstood scrutiny and influenced major investment decisions, • Strong financial modelling capability - comfortable building NPV, IRR, and payback analyses from first principles and translating operational data into financial outcomes, • Deep understanding of how large enterprises make investment decisions - approval processes, financial hurdle rates, competing priorities, and the politics of internal sponsorship Desirable Experience in the maritime, shipping, energy, or industrial sectors - operational familiarity with voyage management, fleet operations, chartering, trading, or supply chain workflows Experience with process mining, workflow analytics, or operational intelligence tools - and the ability to use data outputs to construct value narratives Familiarity with AI automation economics - understanding how to model labour displacement, error reduction, and decision acceleration in organisations adopting AI-driven workflows Experience building value benchmark databases and sector-specific ROI frameworks from scratch Who You Are Rigorous and credible - your business cases are built on real data, sound assumptions, and transparent methodology; you do not overstate value and you do not produce numbers that collapse under scrutiny A skilled interviewer and listener - you can run a discovery session with a COO or a fleet manager and extract the operational detail you need to build a credible model, without making them feel interrogated Commercially motivated - you understand that your work directly enables revenue and you take that seriously; you are not an academic analyst, you are a commercial contributor Independently minded - you are willing to tell a customer or a sales team that a use case does not meet the value threshold, because your credibility depends on honesty, not optimism • A strong writer and presenter - you produce executive materials that are clear, well-structured, and visually compelling; you do not hide weak analysis behind impressive slides, • Intellectually curious about how industries operate - you find genuine interest in understanding how a maritime shipping company makes money, where it loses it, and what operational changes move the needle, • A builder - Complexio does not yet have a mature value engineering function; you are excited by the opportunity to create the frameworks, tools, and benchmarks that will define how the company communicates value at scale

Senior Analytics Model Developer.Analytics & BI (ABI) curation depending on the needs of the audience, thus translating our core data products into measurable business value.Our strategic analytics models will provide the backbone of our data as a service offering, enabling business users and insigh

AWS Solution Architect Up to £95K + Bonus Were working with a global technology consultancy delivering secure, large-scale digital transformation programmes across multiple industries. Theyre looking for an AWS Solution Architect to join a growing engineering and architecture team, designing and delivering modern, cloud-based solutions across enterprise environments. This role is ideal for someone who wants to shape cloud strategy, design scalable architectures, and work alongside senior engineers and technical leads on enterprise-scale AWS programmes. What Youll Be Doing: * Designing secure, scalable AWS architectures * Defining cloud solutions across microservices, data, and integration layers * Supporting migration and modernisation initiatives * Working within Agile delivery teams * Contributing to CI/CD and DevOps best practices * Ensuring solutions meet security, governance, and compliance standards * Collaborating with developers, DevOps engineers, and stakeholders What Theyre Looking For: * Strong hands-on experience with AWS solution design * Experience architecting cloud-native solutions * Understanding of microservices and modern application patterns * Experience working in Agile environments * Ability to translate business requirements into secure technical architectures * Passion for cloud innovation and best practices Nice to Have: * AWS Associate or Professional certification * Experience with containers (Docker/Kubernetes) * CI/CD tools (e.g. Jenkins, GitLab, etc.) * Knowledge of security architecture and IAM * Experience with data platforms or analytics solutions Skills, Experience, Qualifications, If you have the right match for this opportunity, then make sure to apply today. Security Clearance Requirement: Due to client project work, candidates must be eligible for UK Security Clearance (SC). Why Apply? * Work on large-scale enterprise cloud transformations * Strong technical mentoring and career progression * Hybrid working model * Modern cloud-first engineering culture * Excellent benefits package including private medical and additional volunteering leave Ok, Im In Whats Next? xrnqpay Please apply with your latest CV.

Hybrid - 3 days a week in the office.This position sits at the heart of a high-performing Mar-Tech and analytics function, taking ownership of tagging infrastructure, measurement frameworks, and campaign data management across a diverse portfolio of client accounts.The successful candidate will be s

At Caspian One, we work with many of the worlds leading Investment Banks, Hedge Funds & FinTech's building cutting edge, Gen AI tools supporting Front-Office teams globally. Over the coming weeks & months, we will be building dedicated AI teams in front-office environments, ranging from 12-24 month initial contracts with the potential to be extended or to become permanent. If you are actively pursuing a move away from your current role, or you are tentatively exploring the market, I would like to hear from you. This is a really exciting time for a lot of our key clients in this space, and as the need for experienced AI Engineering contractors grows, we want you to be at the front of the queue to be seen by key decision makers building cutting-edge teams in top-tier financial organisations. Background I’m keen to speak with: • Contract AI / Machine Learning Engineers, • Experience in Front Office / Trading / Quants / Risk / Electronic Trading, • Background within Investment Banking, Capital Markets, Hedge Funds or Buy-Side, • Strong hands-on Python (and relevant ML / GenAI frameworks), • Experience with other relevant technologies (LangChain, LangGraph, Databricks etc), • Cloud technology experience (AWS, GCP, Azure), • UK-based or UK right-to-work contractors What to expect: • Contract opportunities only (inside & outside IR35 depending on client), • Projects focused on AI, ML, GenAI, analytics, optimisation & automation, • Tier-1 investment banks, buy-side firms, and market-leading financial institutions, • Roles released on short notice - hence proactive engagement Interested? If this aligns with your background and you’re open to future UK contract opportunities, I look forward to speaking with you!

Data Engineer Manchester (hybrid, 2 days in the office) £70,000 to £90,000 This is an opportunity to join a scaling SaaS business where data sits at the heart of the product. You will play a key role in shaping modern data infrastructure that directly supports machine learning systems, real time decision making, and measurable commercial outcomes. The role offers high ownership, greenfield projects, and the chance to influence how data is used across the organisation as it continues to grow. The Company They are a UK based technology scale up building a privacy first, cookieless platform that helps businesses protect and optimise their digital marketing spend. Using machine learning and large scale behavioural data, they analyse vast volumes of traffic in real time to identify low quality or invalid activity. With offices in London and Manchester, they operate at Series A stage with strong funding and a collaborative, engineering led culture. The Role You will sit within the Data and Platform function, working closely with Data Science, Engineering, and Product teams to design and run reliable, scalable data systems. Key responsibilities include: • Designing and owning batch and streaming data ingestion pipelines on AWS, • Building and maintaining ML ready datasets to support model training, inference, and experimentation, • Improving data warehouse design and performance within AWS Redshift, including refactoring poorly structured data, • Integrating new and underused data sources to unlock additional value, • Supporting feature store development and data pipelines for A/B testing and analytics tools, • Optimising data systems for cost, performance, reliability, and data freshness, • Strong commercial experience building production grade data pipelines using Python and SQL, • Hands on experience with AWS data services such as S3, Redshift, Glue, Athena, and streaming technologies like Kinesis, • Experience working with large scale, high velocity event data and understanding the trade offs around cost, performance, and reliability, • Ability to think beyond implementation and understand how data supports business and product outcomes, • Comfortable collaborating across Data, Engineering, and Product in a fast moving environment If you are interested in building high impact data systems in a growing SaaS environment, apply now to find out more about this opportunity.

Senior Data Engineer Remote UK, £90,000 to £100,000 This is an opportunity to join a fast scaling, digital first consumer platform at a pivotal point in its data journey. They are investing heavily in their data infrastructure and are building a high performing, software led data engineering team to support real time, high volume analytics across the business. You will have genuine influence over how data engineering is done, working on modern tooling and best practice from day one. The Company They are a UK based, consumer facing digital platform operating in a highly regulated online environment. Since launching less than a decade ago, the business has grown rapidly, supported by significant recent funding and a strong focus on product, user experience and responsible engagement. Data is central to their growth strategy, and they are building a modern, scalable analytics platform to support this ambition. The team operates fully remotely across the UK and Europe. The Role • Design, build and own end to end data pipelines supporting real time and batch analytics, • Work on high volume, low latency data use cases with a strong focus on reliability and scalability, • Develop production grade data solutions using software engineering best practices such as CI/CD, testing and version control, • Contribute to the design of data models and analytics layers used across the business, • Help implement and mature staging, testing and deployment processes across the data platform, • Strong commercial experience as a data engineer in modern, cloud based environments, • Advanced Python and SQL, with experience using PySpark or similar distributed processing frameworks, • Experience building and maintaining data pipelines in AWS using services such as S3, Glue or EKS, • Hands on experience with modern analytics stacks such as Snowflake, dbt and Iceberg, • Familiarity with orchestration tools such as Dagster or Airflow, • Strong understanding of data modelling concepts and analytics best practice, • The chance to help shape a growing data platform and engineering culture, • Clear progression opportunities as the data team continues to expand If you are a Senior Data Engineer looking to make a real impact in a growing, product led business, apply now to learn more about the opportunity.

The business is backed by a global financial services group and continues to operate at scale; they’re investing heavily in data, analytics, and customer insight, and doubling down on personalisation and customer-centricity, with insight at the core. Reporting into the Director of Customer Insight

Read on for more details Skills and experience required: A strong professional network across the United Kingdom and a demonstrable track record of originating, shaping and converting consulting opportunities for Data, Analytics and Artificial Intelligence projects Ideally Big 4 Experience, which wo

The role involves extracting and analyzing data to support business decisions and drive efficiencies in reporting. The company offers a flexible working scheme, onsite gym facilities, and generous staff discounts. A leading fragrance retailer in Stretford is looking for a BI Developer to produce hig

Working proactively under the Principal Data Analyst, your day-to-day work will help to inform our commissioning by delivering data-driven insight projects in collaboration with stakeholders across Audiences, Strategy, Finance, and Planning. As a Senior Data Analyst within the Content Analytics team

In-depth knowledge of CCTV (Analogue & IP), Access Control, Intruder Detection, Integrated Security Management Systems (including PSIM), Video Analytics and Wireless Transmission Technologies.

A leading infrastructure consulting firm seeks a Controls Analytics Project Director in Manchester. This role involves leading design and implementation of analytics solutions on complex projects, ensuring alignment with client objectives. Ideal candidates should have 10-15 years' experience in proj

Data scientist to join the Core Analytics team supporting our Viewer Product team. Analyze structured and unstructured data and communicate insights to help stakeholders solve business problems, identify trends and make data‑driven decisions. Collaborate with stakeholders to align data science ini

A global consulting firm is seeking a talented individual to lead complex data science, AI, and analytics projects in Manchester.

Lead and line manage a small analytics team (min. Design and implement GA4 + Google Tag Manager solutions and measurement strategies. Deliver AI proof‑of‑concepts and help operationalise AI/ML insights into analytics workflows.

Xcede is seeking an Analytics Manager to work in Manchester, United Kingdom.In this role, you will lead client measurement strategies, deliver GA4 implementations, and work hands-on with tools like Google Tag Manager, BigQuery, and Looker Studio.The ideal candidate will have strong GA4 experience an

Manchester, Newcastle, Telford.Leeds location available to existing HMRC staff only).Chief Digital & Information Office (CDIO).Response Exceptions & Analytics (REA).Senior Infrastructure Engineer – Tooling & Automation.Secure and automated service deployment at scale.As a senior engineer and pract

Are you passionate about retail and merchandising, already have some experience, and want to combine your expertise with modern technology? Then you’ve come to the right place! We are looking for consultants with a passion for retail, assortments, and processes, who are eager to contribute their k

Raise engineering standards across the team. Promote consistency and good practices without over‑engineering. We are undertaking a strategic migration of our reporting and analytics estate from SSRS to a modern cloud data platform (Snowflake).

Peaple Talent have partnered with a specialist data consultancy delivering services across data engineering, data strategy, data migration, BI & analytics. Due to exciting growth plans we are now looking for a Data Engineer, specialising in Databricks. Databricks Data Engineer | Manchester | £60,00

This event is designed for engineers to explore their fit within a leading National Security engineering organization without a formal commitment. Forwardrole is hosting an invitation-only open day for Data Engineers in Manchester, focused on data analytics engineering.

For any general queries, please contact: bbchr@bbc. The BBC is committed to redeploying employees seeking suitable alternative employment within the BBC and they will be given priority consideration ahead of other applicants. Within Content Analytics, you will have the opportunity to work at the hea

ACCENTURE seeks a Vis & Interaction Science Manager to drive data transformation projects. The role is centered on leveraging data analytics and user-centric design to deliver business value. Candidates should demonstrate expertise in data modeling, stakeholder engagement, and critical thinking in c

In this role, you will bring your expertise in data analytics and business consulting to help clients drive innovation through data. Successful candidates will demonstrate experience in data modelling, SQL, data quality principles, and stakeholder engagement. Join a dynamic environment with strong o

The Head of Data Science and AI provides strategic leadership for data science and artificial intelligence across the organisation. The Architecture & Data team sits at the heart of NICE’s digital transformation, setting the direction for how data, analytics and architecture are used across the or

Prepare and maintain pricing Quotes for Customers, ensure customer satisfaction and assist customers in finding products and services that meet their needs. Our Case Management Team connects and streamlines the Service processes to deliver greater efficiencies, superior analytics and, as required se

A leading NHS organization based in Manchester is seeking a Data Strategy & Analytics Lead to develop and execute a comprehensive data strategy. This role involves overseeing advanced analytics, ensuring compliance with data governance frameworks, and supporting the improvement of patient outcomes.

The NMGH New Hospital Project Data Strategy & Analytics Lead will develop and execute a hospital‑wide data strategy to enable evidence‑based decision‑making, improve operational efficiency, and enhance patient outcomes across the Manchester University NHS Foundation Trust. Experience in develo

Develop and oversee the technology and data audit programme, covering technology, cyber security, information security legislation, controls and best practice. Apply technology audit experience, data analytics skills and a professional audit qualification to strengthen assurance across technology an

If you enjoy solving complex tracking challenges, untangling messy customer journeys, and taking full ownership of analytics, this could be a perfect fit.Digital Agency // Hotels & Travel.A fast-growing, UK-based digital agency is looking for a.Founded by proven agency leaders, the company has exper

You'll be responsible for ingesting and transforming data in Snowflake using DBT, and supporting the building of the data warehouse. Candidates should have at least 3 years of experience in SQL, Python, DBT, and cloud technologies such as Snowflake.

As our Data & Analytics Manager, you will be the go-to expert for tracking user behaviour, measuring campaign performance, and building insightful, client-facing dashboards. Deep, hands‑on experience with Google Tag Manager and administering Google Analytics 4 (GA4). You'll live and breathe front-

As a Managing Consultant / Senior Manager – AI‑Driven Process Analytics within EDA, you will lead and deliver strategic process transformation initiatives with a strong focus on leveraging data, analytics and AI to drive operational excellence and optimise process performance. As a Valued Managi

A global consulting firm in Manchester seeks a Manager to lead SAP Analytics Cloud projects. Candidates should possess a strong background in SAP Analytics, financial planning, and project delivery methodologies.

SAP reporting solutions using S/4 embedded analytics and SAP Analytics Cloud. In your role as an EY Senior Manager you will have responsibility for designing & delivering our technology projects within our client base. Experience delivering large scale Enterprise Data & Analytics projects.

In your role as an EY Senior Manager you will have responsibility for designing & delivering our technology projects within our client base.

A major consulting firm is seeking a SAP Business Data Cloud Architect to join their team. Candidates should have significant experience with SAP BW, Analytics Cloud, and Databricks.

AXA is a global leader in insurance and financial services, dedicated to helping customers protect what matters most to them. It’s an exciting time in our Pricing and Analytics department here at AXA UK. Our transformation programme is underway, aligned to AXA Retail’s new Pricing and Analytics

As we continue to invest in advanced pricing and analytics capabilities, we are looking for a. Pricing function and help shape key commercial decisions. Pricing, Finance and wider business teams.

Ideal candidates will have a background in insurance analytics and the ability to engage with stakeholders effectively. This position offers a hybrid working arrangement, providing an excellent opportunity to impact business processes directly. A prominent analytics firm based in Manchester is seeki

A leading insurance firm is looking for a Pricing Analyst in Manchester.This role involves developing pricing strategies, conducting market analysis, and building stakeholder relationships.The ideal candidate will have a degree in a mathematics-related discipline and experience in insurance pricing.

Matillion Limited is seeking a Director of Product Analytics in Manchester. You will optimise the usage of SaaS products, Data Productivity Cloud and Maia, and translate insights into actions. The ideal candidate has significant experience in Product Analytics, strong communication skills, and the a