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Amazon Web Services (AWS) is the leading cloud provider, providing virtualized infrastructure, storage, networking, messaging, and many other services to customers all over the world. AWS runs a globally distributed environment, operating at massive levels of scale. Businesses, from start-ups to enterprises, run their operations and applications on AWS’ multi-tenant infrastructure. Key job responsibilities As a Senior Security Engineer, you’ll help to build and manage services that detect and automate the mitigation of cybersecurity threats across Amazon’s infrastructure. You’ll work with data scientists, software development engineers, and other security engineers across multiple teams to develop innovative security solutions. Our services protect the AWS cloud for all customers and preserves our customers’ trust in us. You’ll get to use the full power and breadth of AWS technologies to build services that proactively protect AWS customers, both internally and externally, from security threats. You will be working in a team of industry-leading security experts working with UK customers to operate and continuously improve industry-leading security programs and processes. This team manages the underlying security programs and processes for personnel security, physical and logical accreditations, education, awareness and training, assurance, and cyber security. This position will have visibility at senior levels of government agencies, commercial institutions, and AWS including interaction with CISOs, CTOs, their staffs, and AWS senior leadership. In addition to a strong understanding of security technologies, tool development, offensive and defensive security tactics, and ideally some experience with distributed systems, you’ll need a number of other qualities to be successful in this role. The team has a mix of experience levels, and we’re building an environment that celebrates knowledge sharing and mentorship. Our senior engineers, data scientists, and managers truly enjoy mentoring junior engineers, data scientists, and engineers from non-traditional backgrounds through one-on-one mentoring and thorough, but kind, code reviews. You will need to be a UK national and able to obtain and maintain a UK Government Security Clearance. Further details found here: About the team Diverse Experiences Amazon Security values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why Amazon Security? At Amazon, security is central to maintaining customer trust and delivering delightful customer experiences. Our organization is responsible for creating and maintaining a high bar for security across all of Amazon’s products and services. We offer talented security professionals the chance to accelerate their careers with opportunities to build experience in a wide variety of areas including cloud, devices, retail, entertainment, healthcare, operations, and physical stores. Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. Training & Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, training, and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve. • Extensive experience performing security investigations, penetration testing, and/or incident response in the context of large organisations, • In-depth understanding of security threats, hands-on experience detecting and defending from cyber attacks, and experience using big data analytics and orchestration to address security challenges. Ability to develop code with at least one modern language such as Java, Go, TypeScript, Python, Rust and security code review, • Demonstrated technical leadership in security (e.g., tech lead, developed security architecture for a product or system, led technical component of security project, etc.) Experience leading and coaching junior security engineers to improve their skills and effectiveness, • BS or MS in a STEM related field. Understanding of the Mitre ATT&CK framework and knowledge of host and network telemetry data (e.g., process lists, application logs, NetFlow), • Have awareness and understanding of current cyber security threats, actors and their techniques. Experience with data science, big data analytics technology stack, analytic development for endpoint and network security, and streaming technologies (e.g., Kafka, Spark Streaming, and Kinesis), • Strong sense of ownership combined with collaborative approach to overcoming challenges and influencing organisational change Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (___) to know more about how we collect, use and transfer the personal data of our candidates. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit ___ for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

At Longshot Systems we build advanced platforms for sports betting analytics and trading. We re looking for a Senior Software Engineer to join the team that owns and develops our trading platform. Longshot is a small, focused company and so the role suits someone who can architect and implement whatever is needed to meet our next product, performance or stability goal. The team owns the technical standards and coding guidelines, CI/CD, observability and security. This role suits someone who wants to ship features and contribute to the wider technical excellence in the team and platform. The trading platform at Longshot handles integrations with many bookmakers and exchanges worldwide. It normalises and combines the global odds data for many sports and makes it available internally for strategies to trade on. We handle thousands of odds updates and trades per second and have very strict bounds on latency, correctness and overall quality of the feed and trading. You would be at the heart of this team: integrating more trading venues, optimising key parts of the platform, making trading safer and faster, etc. We also maintain a significant historical data repository and support wider trading and research efforts around the company. Our key platform systems are all in Golang, with message buses and databases at the core of the architecture. You don t need to be fluent in Golang, but it would help. It s easy to learn and we have a team full of experts able to teach you. We are a hybrid working company, working Thursdays in our London (Farringdon) office and flexible the rest of the week. Our typical working hours are 10 am to 6 pm UK time, Monday to Friday, but we support flexible working and trust our team to manage their own schedules to meet their goals. Interview Process Intro call (30 mins) - your background + interests 1st Technical interview (30 mins) - live code review & pair programming 2nd Technical interview (60 mins) - deep dive technical questions Full assessment day (10:30 5pm) - a one day systems programming exercise designed to be similar to the real work we do in the team. Meet some of the team, see the office, have a nice lunch (on us). Requirements Masters or PhD in a quantitative or technical subject (e.g. Maths, EE, Physics, Comp Sci) from a top university Deep experience building mission critical distributed systems (finance, gaming, telco, ad-tech, etc.) where throughput, correctness and availability are a hard requirement. Startup experience: Proven track record shipping products in small, fast moving teams. Proven track record delivering and maintaining production systems in at least one systems language (Go, C++, Rust, Java, C#, etc.), with clear, idiomatic designs. Architecture & design: Able to reason about trade offs and produce clean, evolvable service boundaries. Cloud & DevOps: comfortable working in AWS, linux and wrangling build pipelines. We have dedicated DevOps people, but you do need to be competent in the core skills here. Fluent written and spoken English. Communicating with the team is as important as the technical work. You need to be able to effectively collaborate on everything from low level details to long term strategic planning. Nice to have Trading, market making or exchange experience. Benefits • Participation in the uncapped company bonus scheme, • 10% matched pension contributions, • Private healthcare insurance, • Long term illness insurance, • Gym membership

Hiring: SAS Viya/SAS Platform Engineer - Only SC Cleared candidates Location: United Kingdom, Remote role Duration - 12 months+ Contract Rate - Upto £650/Day inside IR35 We are currently seeking an experienced SAS Viya/SAS Platform Engineer to join a high-performing data & analytics team delivering enterprise-grade SAS environments. If you're passionate about SAS infrastructure, platform operations, and large-scale ETL/SAS migrations - we'd love to hear from you. Role Overview As a SAS Platform Engineer, you will be responsible for designing, implementing, maintaining, and optimizing SAS environments (including SAS Viya). You will play a key role in platform engineering, operational support, and migration initiatives. Key Responsibilities • Administration & support of SAS Viya and SAS 9.x environments, • SAS infrastructure design, build, and platform operations, • Performance tuning, monitoring, and troubleshooting, • ETL workflows and SAS migration projects (on-prem - cloud/version upgrades), • Deployment automation and CI/CD integration, • Environment patching, upgrades, and security hardening, • Strong experience with SAS Viya architecture & administration, • Proven background as:, • SAS Platform Engineer, • SAS Infrastructure Engineer, • Deep understanding of:, • SAS Metadata, SAS Grid, SAS Compute, • Linux system administration, • Kubernetes (for Viya 4), • Cloud platforms (AWS/Azure/GCP preferred), • ETL processing & SAS Migration experience, • Experience with containerized SAS deployments, • DevOps tooling (Git, Jenkins, Azure DevOps), • Monitoring tools (Prometheus, Grafana)

Senior C++ Engineer Location: x3 days onsite Salary: £95,000 + bonus Overview Senior C++ Engineer needed to work on high-performance trading and analytics systems in a low-latency environment. This is a hands-on role focused on building, optimising and stabilising mission-critical platforms used across the business. You'll work close to production systems, taking ownership of complex technical issues including crash investigation, deep debugging and performance optimisation. Key Responsibilities • Design and build low-latency C++ applications with a strong focus on performance and resilience, • Own production issues including crash analysis, memory corruption and runtime failures, • Perform deep debugging (call stacks, disassembly, dump analysis) and deliver long-term fixes, • Optimise multi-threaded, Real Time systems, • Contribute to technical design decisions and code reviews, • Mentor junior engineers and raise engineering standards, • Strong commercial C++ experience (C+/14/17), • Background in low-latency, high-throughput systems (finance/trading preferred), • Deep knowledge of modern C++: memory management, concurrency, STL, templates, • Strong debugging skills (crash dumps, memory leaks, runtime analysis), • Experience with Windows internals and tooling (eg WinDbg, Visual Studio), • Solid understanding of multi-threading and performance optimisation, • Advanced Windows internals or disassembly-level debugging, • Messaging systems (Kafka, ZeroMQ, Solace), • Distributed systems or cloud exposure, • Python or C# Scripting

Role: SQL DBA - Data Foundations - Only SC Cleared Candidates Location: Remote, United Kingdom Duration - 12 months + Rate - Upto £650/Day Inside IR35 We are looking for an experienced SQL DBA to join a growing Data Foundations team responsible for enterprise-grade database platforms and data architecture. If you're passionate about database engineering, schema design, and data modelling across complex environments - this role is for you. Role Overview As a DBA/SQL Engineer, you will design, optimize, and maintain robust database systems that underpin critical business applications and analytics platforms. You will play a key role in shaping data foundations, ensuring performance, scalability, and governance across multiple technologies. Key Responsibilities • Database administration, engineering, and performance tuning, • Advanced SQL development and optimization, • Schema design and logical/physical data modelling, • Development using Oracle SQL & PL/SQL, • Support and management of DB2 environments, • Work with Cloudera Hadoop ecosystems, • Ensure data integrity, security, backup & recovery processes, • Strong DBA background across enterprise environments, • Advanced Oracle SQL & PL/SQL development, • Experience with DB2 database platforms, • Exposure to Cloudera Hadoop, • Strong data modelling capability (conceptual, logical, physical), • Schema design and database engineering experience, • Experience in large-scale, high-volume data platforms, • Data governance & regulatory environment exposure, • Automation & Scripting (Shell/Python)

Senior Golang Developer - Kubernetes - Financial Services Excellent opportunity opens for an experienced Developer strong on Golang with experience in AWS and Kubernetes to join a highly regarded Financial Services entity's London office. You will act as the team lead and play a key role in building mission-critical financial applications that power trading, investment, and risk management systems across the firm. If you are passionate about working in a dynamic, fast-paced environment and are eager to apply your technical expertise to the financial services industry, this is the role for you. Key Responsibilities: • Design, develop, and maintain high-performance Back End services using GoLang to support financial applications and services, including trading platforms, investment systems, and risk management tools., • Build and deploy cloud-based solutions using Amazon Web Services (AWS), including services such as EC2, S3, RDS, DynamoDB, and Lambda to create scalable, reliable, and secure infrastructure., • Implement and manage containerized applications using Kubernetes, ensuring seamless orchestration, scaling, and resilience in a cloud environment., • Write clean, efficient, and well-documented code while following best practices for financial systems development, focusing on performance and security., • Collaborate with other development teams, business analysts, and stakeholders to define and refine requirements, and ensure that applications meet financial regulatory standards and business needs., • Optimize the performance of Back End services, ensuring low-latency responses and high availability, critical for financial services., • Implement CI/CD pipelines, automated testing, and monitoring systems to ensure the reliability and stability of production systems., • Proactively identify issues and bottlenecks in existing systems and propose solutions to improve the system's performance and scalability., • Proven experience (2+ years) in GoLang Back End development, with a strong focus on performance optimization and building scalable systems for high-volume, high-frequency financial applications., • Strong experience working with Amazon Web Services (AWS), including EC2, S3, RDS, DynamoDB, Lambda, and other cloud-native technologies., • Hands-on experience with Kubernetes for deploying, managing, and scaling containerized applications in a cloud environment., • Solid understanding of financial systems and services, particularly in areas such as trading platforms, investment management, and risk analytics., • Experience in building microservices architectures and working with APIs (RESTful, gRPC, etc.) to integrate various systems., • Strong knowledge of containerization (Docker) and continuous integration/deployment (CI/CD) practices., • Experience with database systems (relational and NoSQL) and working with financial data., • Familiarity with DevOps practices and tools to streamline the development life cycle, such as infrastructure-as-code (eg, Terraform or CloudFormation)., • Ability to troubleshoot and resolve issues in production environments, ensuring uptime and performance in high-pressure, mission-critical scenarios., • Excellent communication skills to collaborate effectively with cross-functional teams and stakeholders in a fast-paced financial environment., • Experience with serverless computing (AWS Lambda, etc.) to create efficient and scalable solutions., • Knowledge of financial industry regulations and standards, particularly around data security and privacy., • Familiarity with event-driven architectures or message queues (eg, Kafka, RabbitMQ) for Real Time data processing., • Experience with automated testing frameworks and continuous delivery tools like Jenkins, GitLab CI, or CircleCI. Golang Go AWS Kubernetes Terraform Bank Banking Finance Financial Services Crypto Blockchain Web3 Trading Exchange Digital Assets Hybrid Flexible Developer Software Engineer Backend Developer Golang Engineer Kafka Apache Kafka RabbitMQ AWS Lambda Cloud Platform

Senior Full Stack Data Engineer – Decho Group (Part of Accenture) About Decho Group Decho Group is a fast-growing Tech and AI consultancy, founded to solve complex data challenges for governments and enterprises. We specialise in Palantir technologies, advanced analytics, and AI-driven solutions that transform how organisations make decisions. In October 2025, Accenture acquired Decho Group, recognising our unique ability to combine deep engineering expertise with strategic advisory, tackling mission-critical problems in defence, healthcare, and commercial industries. Joining Decho means joining a consultancy where AI meets engineering excellence. You’ll be part of a team that thrives on curiosity, collaboration, and bold thinking, working on projects that genuinely change lives and industries. The Role We’re seeking Senior Consultant Engineers who want to apply their technical mastery in AI consultancy and Palantir engineering while shaping the future of data-driven decision-making. This is a hands-on, client-facing role where you’ll lead technical delivery, partner directly with stakeholders, and act as a trusted advisor. You’ll combine software engineering expertise with strategic problem-solving, working across data pipelines, operational workflows, and AI models to deliver transformation at scale. Key Responsibilities • Lead & Architect: Own the design of innovative solutions using Palantir software, ensuring scalability and long-term impact., • Engineer Data at Scale: Build, optimise, and maintain complex pipelines and ETL processes powering mission-critical decision models., • Strategic Workflows: Develop enterprise-grade workflows and decision-support tools that reshape operations across industries., • AI Leadership: Guide the integration of AI and machine learning models into client environments, ensuring measurable outcomes., • Client Engagement: Partner directly with senior stakeholders, translate business needs into technical solutions, and influence strategic direction., • Technical Excellence: Set engineering standards, champion best practices, and drive continuous improvement across teams., • Mentorship & Growth: Coach junior engineers, foster knowledge-sharing, and contribute to the Decho Lab’s innovation culture. What We’re Looking For • 5+ years of experience in software/data engineering with proven expertise in Python, SQL, and TypeScript., • Ideally experience with Palantir technologies (Foundry, Gotham, or similar platforms)., • Advanced knowledge of data engineering, ETL pipelines, and workflow design at enterprise scale., • Track record of leading teams, mentoring engineers, and delivering complex projects in client-facing environments., • Passion for AI, machine learning, and emerging technologies, with ability to translate innovation into impact., • Exceptional problem-solving, communication, and stakeholder management skills., • Curiosity, adaptability, and a drive to make a real-world impact. Why Join Us • Be part of a fast-growing AI consultancy now backed by Accenture’s global scale., • Lead mission-critical, client-facing projects across government, defence, health, and commercial sectors., • Gain hands-on experience in AI, advanced analytics, and Palantir technologies while shaping industry standards., • Build your career story as a senior leader driving transformation in data-driven decision-making., • Thrive in a culture that values innovation, collaboration, and bold ambition. Unfortunately we can not provide sponsorship for this opportunity

Job Title: Frontend Engineer – React / TypeScript / Next.js Location: London (Hybrid – 2‑3 days in office) Salary: £70,000 – £75,000 + Equity About the Company You’ll join a fast‑scaling SaaS business that’s redefining how enterprise sales teams operate. Their platform uses advanced AI and deal‑intelligence to unlock hidden insights, streamline workflows and elevate team performance. Backed by top investors, the team is lean, ambitious and focused on real‑world impact, yet technically deep and product‑led. About the Role You will help shape the front end of a high‑impact product used by enterprise customers, using React, TypeScript, and Next.js. You’ll work across the full front‑end life cycle — from architecture and design collaboration, through to deployment and optimisation — delivering robust, performant, and accessible user interfaces. You’ll join a highly collaborative team where your voice will matter, and your work will be visible at scale. What You’ll Do • Build and maintain modern web applications using React, TypeScript, and Next.js., • Translate UI/UX designs into responsive, accessible and high‑performance user interfaces., • Collaborate strategically with backend engineers, product owners and designers to deliver end‑to‑end solutions., • Write clean, tested, maintainable code and set best‑practice standards for the front‑end., • Optimize web performance, accessibility (WCAG), responsiveness, and the user experience., • Participate in agile rituals and help take ownership of features from conception to deployment and monitoring. What We’re Looking For • Strong production experience with React, TypeScript and Next.js., • Excellent skills in HTML5, CSS3, and modern JavaScript (ES6+)., • Proven experience with state‑management libraries (e.g., Redux, Zustand)., • Solid experience integrating front‑end apps with RESTful APIs, (GraphQL is a bonus)., • Experience with testing frameworks (e.g., Jest, React Testing Library)., • Comfortable with CI/CD pipelines, version control (Git), modern build tools and an eye for performance optimisation., • Strong understanding of scalable front‑end architecture, responsive design, accessibility standards and code maintainability. Nice to Have • Experience with server‑side rendering or static site generation (Next.js)., • Exposure to AI/ML integrations or advanced analytics in a front‑end context., • Familiarity with GraphQL or micro‑frontend architectures or enterprise‑grade front‑end tooling. What We Offer • Salary: £70,000 – £75,000 + equity participation., • Hybrid working model: 2‑3 days per week in a London‑based office, blended with remote work., • Opportunity to join a high‑growth technology company at a stage where your contributions will be visible and valued., • Working with cutting‑edge technologies, a smart engineering team, and a product used by major enterprise customers., • Real ownership of your domain and career growth in a product‑led engineering culture.

Data Engineer | Remote Modern Cloud Data Stack £45,000 DOE A high-visibility opportunity to join an ambitious, values-led organisation as it refreshes its data strategy and modernises its intelligence platform. You’ll be trusted early, work closely with stakeholders, and help build the foundations that drive better insight, smarter decisions, and genuine impact. Well suited to someone early in their data engineering journey, circa 2+ years’ experience, ready to step up. You’ll join a supportive environment with clear runway to grow technically, with increasing ownership as your influence across the business grows. What you’ll be doing • Help shape and deliver a refreshed data strategy and analytics platform, • Build reliable ELT/ETL pipelines into a cloud data warehouse, Snowflake, Databricks, or similar, • Design and optimise core data models, dimensional, analytics-ready, built to last, • Create trusted data products enabling self-service analytics, • Improve data quality, monitoring, performance, and cost efficiency, • Partner with analysts, BI, and stakeholders to turn questions into robust data assets, • Contribute to engineering standards, best practice, and reusable frameworks, • 2+ years’ experience in data engineering within a modern data stack, • Strong SQL, solid foundations in data modelling, • Python preferred, or similar, for automation and pipeline development, • Cloud exposure across AWS, Azure, or GCP, • Familiarity with tools like dbt, Airflow, or equivalents Curious, motivated, and pragmatic, you care about doing things properly, enjoy visibility, and like building data that’s trusted and useful. Fully remote. No sponsorship, Post-Graduate Visa not supported. Interested? Apply now.

Are you a Data Engineer passionate about building.Our client is seeking an experienced engineer to design robust, secure, and future-ready data solutions that support analytics, AI, and strategic decision-making.Work with modern technologies, including.

Data Analytics Engineer Responsibilities.

A global specialty insurance and reinsurance organisation is seeking an Analytics Platform Engineer to join a technical actuarial analytics development team. This role is suited to someone with strong technical and mathematical skills who enjoys building tools, working with large datasets, and colla

Must-Have Certifications (at least 2): SC-100 (Cybersecurity Architect) SC-200 (Security Operations Analyst) SC-400 (Information Protection Administrator) AZ-500 (Azure Security Engineer)Key Skills: Microsoft Defender Suite (Endpoint, Identity, Cloud Apps) Microsoft Sentinel (analytics rules, SOAR

The Data Engineer will be joining a close knit friendly team that is the hub of our clients global data & analytics operation. The role would suit a mid-level data engineer, or a junior engineer with 2 years experience looking to take the next step up. A fantastic opportunity is available for a Data

Quantitative Developer or Senior Software Engineer within financial services. We are seeking an experienced Quantitative Developer to build and enhance high-performance trading and analytics platforms. The role involves close collaboration with quantitative researchers and trading teams to deliver r

Design, build, and maintain scalable ETL/ELT pipelines that transform raw data into reliable, analytics-ready datasets. Data Engineer - TV Advertising Data (FAST). Ingest, integrate, and manage new data sources across advertising, audience, platform, and content data within Fremantle's Microsoft Fab

Senior Software Engineer Stealth AI Startup | London | Hybrid We’re hiring for a fast-growing AI startup building a cloud-native analytics platform that transforms large volumes of LLM output into structured, queryable intelligence for businesses and brands. The team actively uses AI agents

SC Cleared Senior Data Engineer - Occasional Travel - Up to £540/day Inside IR35.Senior Data Engineer with active SC clearance.Central Government department on a mission-critical data and analytics programme.This role suits someone with strong Microsoft Fabric expertise and experience delivering se

Data Engineer – Build Scalable Data Products That Power the Business 18 month Fixed Term Contract Want to turn raw data into trusted, analytics -ready insight? If you enjoy building robust pipelines, working with modern cloud data platforms, and delivering data products that genuinely enable bett

Detection Engineer - SIEM, KQL, Sentinel. KQL exp is a must (Sentinel/Log Analytics/Microsoft Defender)- Translate threat intelligence into actionable detection logic- Windows, MacOS or Linux operating systems exp.

Are you a Data Engineer passionate about building scalable, cloud-first data platforms that power business insights and innovation? Our client is seeking an experienced engineer to design robust, secure, and future-ready data solutions that support analytics, AI, and strategic decision-making. Deliv

Python and Kubernetes Software Engineer - Data, AI/ML & Analytics at Canonical. Our platform, Ubuntu, is widely used in cloud, data science, AI, engineering, and IoT initiatives. What you will do: You will collaborate on an end-to-end data analytics and MLOps solution using open-source tools such as

A sports analytics company in the UK is seeking a Software Engineer to build integrations for professional sports teams, leagues, and federations.

Design, develop, and optimize data pipelines using Microsoft Fabric and Azure services (eg, Azure Data Factory, Azure Synapse Analytics, Azure Databricks). Methods are seeking a SC cleared Data Engineer in London, responsible for designing, building, and maintaining scalable data pipelines and infra

A leading cloud analytics firm in London is looking for a Technical Support Engineer to provide top-notch support to its customers. The role involves diagnosing complex technical issues and collaborating with cross-functional teams to enhance the Sigma product.

You’ll be part of a small but highly skilled engineering group, working closely with the Product Manager and Engineering Manager. This is a hands-on analytics engineering role where you’ll shape the data layer, refine product features, and help deliver impactful dashboards directly to hotel clie

Lead Computer Vision Engineer - Sports Analytics. A dynamic, high-growth AI start-up transforming sports science and analytics through cutting-edge technology, with substantial investor backing and years of innovation behind us, is looking for a Lead Computer Vision Engineer to join their team. Rese

A leading data firm in the UK seeks an Analytics Engineer to build and maintain data models for analytics, focusing on scalable dbt pipelines.Responsibilities include translating business needs into data models, implementing schemas, and ensuring data quality.The ideal candidate has strong SQL skill

Enable stakeholders to surface critical data from many sources in the self-service analytics platform to support data-driven decisions. Be accountable for the quality, performance and scalability of the self-service analytics platform. Propose and implement bespoke analytics solutions to address bus

You'll be the senior technical lead and engineer for data platform initiatives, working with business analysts, engineers, and product stakeholders. We're seeking a Senior Data Engineer to transform our analytics infrastructure from monolithic SQL/PostgreSQL systems into a modern Azure-based data pl

A leading analytics company in London is looking for a Solutions Engineer to drive customer success through analytics and business intelligence solutions. A Bachelor's degree in a technical field and experience in analytics or sales engineering are required.

Lead Data Engineer – UK (MathCo). Based in the UK, you will lead client‑facing programmes, guide engineering teams, and ensure scalable, modern data solutions are delivered to support supply chain, sales, and consumer analytics for global CPG clients. Design, develop and maintain scalable data p

The successful candidate will be responsible for building scalable data models in Databricks, enhancing data quality, and collaborating with diverse stakeholders.

AND Digital are a tech company focused on accelerating digital delivery and dedicated to closing the digital skills gap. We've been helping organisations build better digital products and stronger digital teams since 2014. Working in the Self Service Team analytics team, the Analytics Engineer will

Experian Marketing Services are looking for a new Software Engineer to work with our engineering and product teams developing applications that power our ad delivery, analytics, and optimization systems.This position is ideal for someone who is passionate about building scalable, efficient, and syst

Datatech 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. Referrals increase your chances of interviewing at Datatech Analytics by 2x. Get notified about new Data Engineer jobs in.

The Macro Quant Analytics team is responsible for building in-house financial analytics and a distributed platform to disseminate information tracking the global market. Specifically, you will: Help build a new core analytics library and downstream tools that help various parts of the business price

Lead Analytics Engineer page is loaded## Lead Analytics Engineerremote type: Hybridlocations: Wimbledon, UKtime type: Full timeposted on: Posted 15 Days Agojob requisition id: JR101440*Domestic & General is a company with an ambitious future. In this role, you’ll lead a team of Analytics

Practice Director & Snowflake Data Specialist. Contract Analytics Engineer (DBT & Snowflake Specialist). DBT (Data Build Tool) Core and Snowflake.

Python and Kubernetes Specialist Engineers focused on Data, Workflows, AI/ML and Analytics Solutions. As a software engineer on the team, you'll collaborate on end-to-end data analytics and MLOps solutions composed of popular, open-source, machine learning tools, such as Kubeflow, MLFlow, DVC, and F

A leading domestic appliance company is seeking a Lead Analytics Engineer to drive data capabilities and ensure usability across the business.

A leading entertainment company in London seeks a Senior Data Operations Engineer to enhance its analytics team.In this full-time position, you will create data solutions and ensure the successful operation of data pipelines and machine learning processes.Ideal candidates will have a degree in a rel

Join a forward-thinking company as a Data Engineer/Scientist, where you will design and maintain data pipelines and analytics solutions for high-profile public sector organizations.

SRE, Cloud Architect, Customer Engineer)* Production experience with AWS infrastructure, data services, and real-time data processing* Skilled in AWS analytics tools (Glue, Athena, Redshift, EMR, Kinesis, MSK, QuickSight, dbt)* Understanding of information security best practices* Strong verbal and

Data Architect Lead - Data Platform Transformation A growing, data-driven organisation is investing in a modern data platform and is seeking a Data Architect Lead to take ownership of enterprise data modelling and design. This role will lead the definition of robust, scalable data models and integrations, ensuring alignment with business requirements, governance standards, and best practice data architecture. Job Title: Lead Data Architect Location : London, Hybrid (3 Days On-Site) Role Type: Permanent Salary : Competitive + Bonus & Benefits Start Date: Open To Notice Periods Key Responsibilities: Lead the design and evolution of enterprise data models across a modern data platform. Define robust data structures and integrations that support analytics, reporting, and operational needs. Ensure data modelling standards are consistently applied. Provide architectural oversight and design assurance across multiple initiatives. Support and embed data governance, controls, and architectural standards. Required Skills & Experience: Hands-on experience with modern data platforms, including Snowflake. Extensive SQL experience. Strong experience in data warehouse modelling (e.g. Data Vault, Kimball, 3NF). Proven ability to design robust, scalable data models. Background may include roles such as Data Architect, Senior Data Engineer, or Data Analyst with strong modelling experience. McGregor Boyall is an equal opportunity employer and do not discriminate on any grounds. TPBN1_UKTJ

Role:Customer Support Engineer - GridOS (Kubernetes + Kafka) Experience with GridOS or other grid data management platforms. Knowledge of utility operations, grid modeling, and distributed energy resource management. Familiarity with real-time data streaming and IoT integration. Key Responsibilities: Design and implement GridOS Data Fabric solutions to streamline data access and management for utilities. Develop data integration pipelines that unify operational (OT), informational (IT), and external data sources (e.g., weather, traffic). Configure and manage metadata catalogs to ensure effective data governance, security, and compliance. Collaborate with business and IT teams to enhance data discovery, quality, and utilization across the enterprise. Support real-time and batch data processing using big data technologies and cloud platforms. Optimize data workflows to enable AI, machine learning, and advanced analytics applications. Provide technical support and troubleshooting for GridOS Data Fabric deployments. Stay up to date with advancements in grid modernization, data management, and energy analytics. Required Qualifications: Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field. 3+ years of experience in data management, integration, or analytics for utilities or energy sectors. Strong knowledge of data fabric architectures, metadata management, and data governance principles. Experience with SQL, ETL tools, and big data technologies (e.g., Hadoop, Spark, Kafka). Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and data integration frameworks. Strong problem-solving skills and ability to work in a cross-functional environment. TPBN1_UKTJ

Senior Engineering Technician / Senior HMI Engineer (Contract) Location: Lincoln (5 days per week onsite) Contract Length: 6 months Rate: £380–£400 per day (Inside IR35) Start: ASAP (or by agreement) Overview An established engineering services organisation within the power and industrial sector is seeking a Senior Engineer / Technician to join its Engineering team on a contract basis. You will play a key role in the build, development, modernisation, and support of industrial Human Machine Interface (HMI) systems , supporting upgrade programmes for small gas turbine platforms . This role is hands-on and delivery-focused, working closely with Engineering, Project Execution, and Field Service teams. Key Responsibilities HMI Systems (Hardware & Software) Install, configure, and test standardised HMI builds across: Windows endpoints Servers Client machines Deploy and support industrial HMI / SCADA platforms including: AVEVA InTouch FactoryTalk Optix Siemens PCS7 WinCC Cybersecurity & System Hardening Implement cybersecurity controls and best practices, including: Windows OS hardening Endpoint security solutions Application whitelisting Secure backup solutions Networking & Infrastructure Configure, develop, and test industrial networking components such as: Industrial firewalls Managed industrial switches Documentation & Configuration Management Develop and maintain work instructions for build and configuration standards Create and maintain technical information databases Support configuration and change management processes Project & Field Support Collaborate with Project Execution teams to improve quality and on-time delivery Identify, troubleshoot, and resolve issues discovered during testing Provide technical support to Field Service teams during commissioning activities Essential Qualifications Degree-qualified (or equivalent professional experience/accreditation) in an engineering discipline, ideally: Computer Science Control Systems Cybersecurity Automation or related field Preferred Experience & Skills Industrial Control Systems 1+ years' experience working with industrial control system applications such as: Rockwell / Allen-Bradley ControlLogix Siemens PCS7 Control Systems AVEVA InTouch FactoryTalk Optix Industrial Networks & Cybersecurity Familiarity with industrial cybersecurity standards and frameworks, including: IEC 62443 NCSC Cyber Assessment Framework (CAF) EU Cyber Resilience Act Understanding of secure industrial network architectures Ways of Working Experience with configuration/change management tools and processes Working knowledge of IT tools for: Project management Business analytics Practitioner of a Systems Engineering approach to product and system improvement (highly desirable) Working Arrangements Onsite: 5 days per week in Lincoln Contract: 6 months IR35 Status: Inside IR35 Rate: £380–£400 per day (dependent on experience) TPBN1_UKTJ

Open Shift Telemetry Job Description Role Overview Role / Job Title: OpenShift Telemetry Work Location: London / Sheffield Mode of Working: Hybrid Office Requirement (if hybrid): 10 days a month The Role We are seeking a skilled OpenShift Telemetry Engineer to join our team. Your Responsibilities In this role, you will be: Primarily responsible for implementing, managing, and optimizing the observability stack within a Red Hat OpenShift Container Platform environment to ensure system health, performance, and security. Bridge the gap between application monitoring and infrastructure, leveraging different tools like tools. Your Profile Essential Skills / Knowledge / Experience Design, implement, and maintain data pipelines to ingest and process OpenShift telemetry (metrics, logs, traces) at scale. Stream OpenShift telemetry via Kafka (producers, topics, schemas) and build resilient consumer services for transformation and enrichment. Engineer data models and routing for multi-tenant observability; ensure lineage, quality, and SLAs across the stream layer. Integrate processed telemetry into Splunk for visualization, dashboards, alerting, and analytics to achieve Observability Level 4 (proactive insights). Implement schema management (Avro/Protobuf), governance, and versioning for telemetry events. Build automated validation, replay, and backfill mechanisms for data reliability and recovery. Instrument services with Open Telemetry; standardize tracing, metrics, and structured logging across platforms. Use LLMs to enhance observability capabilities (e.g., query assistance, anomaly summarization, runbook generation). Collaborate with platform, SRE, and application teams to integrate telemetry, alerts, and SLOs. Ensure security, compliance, and best practices for data pipelines and observability platforms. Document data flows, schemas, dashboards, and operational runbooks. Desirable Skills / Knowledge / Experience / Personal Attributes Hands-on experience building streaming data pipelines with Kafka (producers/consumers, schema registry, Kafka Connect/KSQL/Stream). Proficiency with OpenShift/Kubernetes telemetry (Open Telemetry, Prometheus) and CLI tooling. Experience integrating telemetry into Splunk (HEC, UF, source types, CIM), building dashboards and alerting. Strong data engineering skills in Python (or similar) for ETL/ELT, enrichment, and validation. Knowledge of event schemas (Avro/Protobuf/JSON), contracts, and backward/forward compatibility. Familiarity with observability standards and practices; ability to drive toward Level 4 maturity (proactive monitoring, automated insights). Understanding of hybrid cloud and multi-cluster telemetry patterns. Security and compliance for data pipelines: secret management, RBAC, encryption in transit/at rest. Good problem-solving skills and ability to work in a collaborative team environment. Strong communication and documentation skills. TPBN1_UKTJ