776 to 800 of 869 Data Engineering Jobs in England

We are working with a growing consumer finance fintech platform, who are looking to build out their Data and Analytics department. The team, who have recently received backing from a global Investment firm are now building out a Data and Analytics team in London - with a focus on supporting their Unsecured NPL Portfolio Investment team. This role is … ideal for a technically strong, quantitatively minded professional with a background in statistics and data science, looking to apply their skills in financial services. While specific NPL experience is not required, a passion for large-scale data analysis and modern analytics frameworks is essential. You will work in a neo-bank/fintech-style environment, using cutting-edge … technology to analyze terabytes of data and support high-impact investment decisions. Responsibilities: Develop, implement, and validate statistical and machine learning models for analysing non-performing loan portfolios. Collaborate with cross-functional teams—including credit, collections, and data engineering—to translate business objectives into robust analytical solutions. Build software using modern technology to enable investing and asset More ❯

We are working with a growing consumer finance fintech platform, who are looking to build out their Data and Analytics department. The team, who have recently received backing from a global Investment firm are now building out a Data and Analytics team in London - with a focus on supporting their Unsecured NPL Portfolio Investment team. This role is … ideal for a technically strong, quantitatively minded professional with a background in statistics and data science, looking to apply their skills in financial services. While specific NPL experience is not required, a passion for large-scale data analysis and modern analytics frameworks is essential. You will work in a neo-bank/fintech-style environment, using cutting-edge … technology to analyze terabytes of data and support high-impact investment decisions. Responsibilities: Develop, implement, and validate statistical and machine learning models for analysing non-performing loan portfolios. Collaborate with cross-functional teams—including credit, collections, and data engineering—to translate business objectives into robust analytical solutions. Build software using modern technology to enable investing and asset More ❯

Excellent problem-solving skills. Experience using a coding language to develop models and analytical tools. Experience in manipulating and analysing large, complex datasets. Desirable Experience & Skills: Practical knowledge of data engineering practices (designing and building robust data pipelines) Knowledge of Python and core libraries applicable to data science (eg, pandas, numpy, statsmodels) Hybrid - 3 days from More ❯

Gloucester – Hybrid (2–3 days on-site) Up to £70,000 + Excellent Benefits **Must be a British Citizen** Join one of the UK’s leading technology and defence engineering consultancies — a team trusted by government and security clients to deliver advanced data, software, and AI-driven solutions that protect the country’s most critical systems. They’re … expanding their Gloucester engineering function by 30+ people before Q1 next year, with opportunities for experienced Python Engineers to work on projects that genuinely make a difference. What you’ll be doing Building secure, high-performance software underpinning security and defence operations Developing complex data pipelines, APIs, and AI tooling in modern Python environments Working in agile, multi … disciplinary teams alongside experts in software, data, and machine learning Delivering production-grade solutions across cloud and on-prem secure environments Experience required Strong hands-on Python development (FastAPI, Flask, Django or similar) Solid understanding of CI/CD pipelines, automated testing, and modern DevOps practices Experience in secure systems, data engineering, or AI-focused environments UK More ❯

Are you a Data Engineer looking for your next challenge? Would working for a fast-paced, category defining, high growth, start-up be of interest? If the answer to these questions is yes, we’d love to hear from you. An exciting opportunity has arisen for a Data Engineer who is eager to sit at the intersection of … Solve customers’ most difficult business challenges by adapting and deploying platform to meet their needs Design and implement scalable generative AI workflows using platforms like Palantir AIP Execute complex data integration using PySpark and other distributed technologies Collaborate with internal teams and stakeholders as required Key Skills: 3-4 years of solid experience in data engineering Experience … working in a start-up/early stage org The ability to translate complex and sometimes ambiguous business requirements into clean and maintainable data pipelines Excellent knowledge of PySpark, Python and SQL fundamentals The ability to get to grips with new technologies quickly Nice to Have: Experience in dashboarding tools, Typescript and API development Familiarity with Airflow, DBT, Databricks More ❯

Are you a Data Engineer looking for your next challenge? Would working for a fast-paced, category defining, high growth, start-up be of interest? If the answer to these questions is yes, we’d love to hear from you. An exciting opportunity has arisen for a Data Engineer who is eager to sit at the intersection of … Solve customers’ most difficult business challenges by adapting and deploying platform to meet their needs Design and implement scalable generative AI workflows using platforms like Palantir AIP Execute complex data integration using PySpark and other distributed technologies Collaborate with internal teams and stakeholders as required Key Skills: 3-4 years of solid experience in data engineering Experience … working in a start-up/early stage org The ability to translate complex and sometimes ambiguous business requirements into clean and maintainable data pipelines Excellent knowledge of PySpark, Python and SQL fundamentals The ability to get to grips with new technologies quickly Nice to Have: Experience in dashboarding tools, Typescript and API development Familiarity with Airflow, DBT, Databricks More ❯

mission critical cloud platform? A highly respected, confidential organisation is seeking a technical leader to serve as the subject matter expert and architect for their next generation, cloud based data solutions. This is an opportunity to put your stamp on the underlying infrastructure that powers all future data capabilities. The Mission: Securing and Scaling the GCP Data Ecosystem Operating at the intersection of data engineering and platform architecture. The core mission involves defining the overall architecture and technical standards for data ingestion, processing, storage, and analysis within Google Cloud Platform. This mandate requires leveraging deep expertise in core GCP services and Google BigQuery to ensure the entire platform is optimised for performance, scalability …/CD pipelines and security across the entire GCP environment. This position involves collaborating closely with Software Architects and mentoring development teams, serving as the ultimate authority on GCP data solutions. Sound like a bit of you? Apply and we can have a confidential chat More ❯

Do you come from either a Comp Sci or mathematical/algorithmic background, but feel like you haven't fully utilised that in your current data engineer role? If so, this is probably for you. This unique and culture drive hedge fund are looking for quantitative data engineers to join their world class data engineering team … that sits right next to the best algorithmic traders in the world. Some of the problems and data sets you'll work with will be incredibly complex, which is why the team is known for being wolrd class and heavily engineering focussed. You'll also be given the opportunity to use quantitative techniques to dig deep into these … data sets, and contribute to this research platform by building ETLs and coding your way towards a solution. So, who do you need to be? You're either: A Data Engineer within the Hedge Fund/Trading space Coming from an outstanding educational background, and work with complex data sets If this is you - get in touch. More ❯

Do you come from either a Comp Sci or mathematical/algorithmic background, but feel like you haven't fully utilised that in your current data engineer role? If so, this is probably for you. This unique and culture drive hedge fund are looking for quantitative data engineers to join their world class data engineering team … that sits right next to the best algorithmic traders in the world. Some of the problems and data sets you'll work with will be incredibly complex, which is why the team is known for being wolrd class and heavily engineering focussed. You'll also be given the opportunity to use quantitative techniques to dig deep into these … data sets, and contribute to this research platform by building ETLs and coding your way towards a solution. So, who do you need to be? You're either: A Data Engineer within the Hedge Fund/Trading space Coming from an outstanding educational background, and work with complex data sets If this is you - get in touch. More ❯

highly motivated Lead Software Engineer with deep expertise in Artificial Intelligence (AI) , Machine Learning (ML) , and Python development to lead the design, development, and deployment of intelligent systems and data-driven applications for a leading client in London. The ideal candidate will have a strong background in AI/ML frameworks, scalable system design, and Python-based development, along … architecture and development of AI/ML solutions, ensuring scalable and efficient design. Design and implement ML models and algorithms (classification, regression, NLP, etc.) using modern frameworks. Collaborate with data scientists, engineers, and product teams to transform prototypes into production-grade applications. Optimize model performance and manage end-to-end ML lifecycle (data ingestion, training, evaluation, deployment). … Mentor junior engineers and contribute to code reviews, best practices, and technical decision-making. Implement MLOps pipelines for continuous training, deployment, and monitoring of models. Ensure compliance with data privacy and security regulations (GDPR, etc.). Required Skills & Qualifications: Bachelor's or Master's degree in Computer Science, Engineering, AI, or related field. 7+ years of professional software More ❯

using open source models such as Llama, Qwen and Gemma, as well as those online models from OpenAI, Gemini, etc. ● Build AI agents with tool/function calling, prompt engineering and appropriate guardrails using frameworks such as OpenAI AgentSDK, LangGraph or LlamaIndex. ● Implement testing and evaluation frameworks for LLM applications, covering prompt testing, output quality metrics and agent behaviour … validation. ● Apply relevant AI technologies as needed, including retrieval systems (RAG, GraphRAG), knowledge graphs, vector databases or data pipelines. Role Requirements Work Experience ● At least five years as a software engineer on commercial platforms, with demonstrable experience building production LLM-powered applications. ● Proven experience with API-level LLM usage, including tool/function calling, prompt engineering and evaluation. … developing APIs using FastAPI or similar frameworks and integrating with third-party platforms. ● Direct client-facing experience gathering requirements and delivering technical implementations. ● Experience within agile development workflows and engineering teams. Skills & Abilities ● Strong Python (or similar) programming skills with a focus on production-grade applications. ● Excellent communication abilities, translating complex technical concepts for diverse audiences. ● Strong analytical and More ❯

technology that drives sustainability and innovation in one of the most critical industries of our time. The Role They're seeking a Golang Software Engineer to join our backend engineering team. You’ll design, develop, and maintain the core systems that power our energy intelligence platform — from real-time data processing to distributed services that handle millions of … data points daily. What You’ll Do Develop high-performance backend services and APIs using Go (Golang) . Collaborate with data and DevOps teams to deliver scalable, cloud-native solutions. Design and implement reliable microservices that integrate with IoT devices, energy assets, and analytics pipelines. Optimize performance, scalability, and reliability across our systems. Participate in code reviews, architectural … and cloud platforms (AWS, GCP, or Azure). Strong problem-solving skills and attention to performance and reliability. Bonus points for experience in the energy sector , IoT systems , or data engineering . Why Join Shape technology that enables a sustainable energy future. Competitive pay, stock options, and flexible working hours. Collaborative, mission-driven culture with a focus on More ❯

technology that drives sustainability and innovation in one of the most critical industries of our time. The Role They're seeking a Golang Software Engineer to join our backend engineering team. You’ll design, develop, and maintain the core systems that power our energy intelligence platform — from real-time data processing to distributed services that handle millions of … data points daily. What You’ll Do Develop high-performance backend services and APIs using Go (Golang) . Collaborate with data and DevOps teams to deliver scalable, cloud-native solutions. Design and implement reliable microservices that integrate with IoT devices, energy assets, and analytics pipelines. Optimize performance, scalability, and reliability across our systems. Participate in code reviews, architectural … and cloud platforms (AWS, GCP, or Azure). Strong problem-solving skills and attention to performance and reliability. Bonus points for experience in the energy sector , IoT systems , or data engineering . Why Join Shape technology that enables a sustainable energy future. Competitive pay, stock options, and flexible working hours. Collaborative, mission-driven culture with a focus on More ❯

Position Summary We are looking for a Data Migration Coordinator (CRM) to support our integration projects by ensuring fast, secure, and accurate access to agency CRMs. This role is focused on organizing and coordinating data exports, quality checks, and handover to our Data Engineering team — without the need for deep coding or building full ETL pipelines. … of quantities by entities (properties, landlords, tenants, tenancies, transactions, documents), spot checking of duplicates/empty values/type mismatches, validity of dates/mails. Artifacts: filling a simple data-dictionary, field mapping tables (source → our schema), Postman collections, example records. Coordination: communication with CRM vendors and agency managers, tracking deadlines, weekly updates, escalation of blockers. Transfer to DE … work: issuing access and artifacts, answers to clarifying questions about the origin of data. What is NOT required Write full-fledged connectors/ETL or complex backend. Design data models from scratch. Do advanced analytics - only basic checks according to checklists. Tools: Postman/Insomnia, WinSCP/FileZilla/Termius, SSH/SFTP/PGP, Google Sheets/Excel More ❯

chance to shape the next generation of AI infrastructure. What You’ll Do Design, implement, and optimize LangGraph-based AI workflows and multi-agent systems Integrate LLMs, APIs, and data pipelines into production-ready solutions Build scalable, maintainable AI applications with structured memory, tools, and dynamic reasoning paths Collaborate with cross-functional teams — from data scientists to product … with LangGraph (bonus: contributions to the open-source project) Strong background in Python, LangChain, OpenAI APIs, and LLM architectures Familiarity with vector databases, retrieval-augmented generation (RAG), and prompt engineering Understanding of software design principles, version control (Git), and CI/CD practices Creative problem-solver with a bias toward action and experimentation Nice to Have Experience deploying AI … agents at scale Knowledge of cloud platforms (AWS, GCP, Azure) Background in data engineering, NLP, or ML Ops Why Join Us Work on cutting-edge AI projects with real-world impact Collaborate with a world-class engineering team Flexible remote environment with strong growth potential Competitive salary, equity options, and great benefits If you are interested in More ❯

chance to shape the next generation of AI infrastructure. What You’ll Do Design, implement, and optimize LangGraph-based AI workflows and multi-agent systems Integrate LLMs, APIs, and data pipelines into production-ready solutions Build scalable, maintainable AI applications with structured memory, tools, and dynamic reasoning paths Collaborate with cross-functional teams — from data scientists to product … with LangGraph (bonus: contributions to the open-source project) Strong background in Python, LangChain, OpenAI APIs, and LLM architectures Familiarity with vector databases, retrieval-augmented generation (RAG), and prompt engineering Understanding of software design principles, version control (Git), and CI/CD practices Creative problem-solver with a bias toward action and experimentation Nice to Have Experience deploying AI … agents at scale Knowledge of cloud platforms (AWS, GCP, Azure) Background in data engineering, NLP, or ML Ops Why Join Us Work on cutting-edge AI projects with real-world impact Collaborate with a world-class engineering team Flexible remote environment with strong growth potential Competitive salary, equity options, and great benefits If you are interested in More ❯

technical and professional experience Experience with containerisation technologies like Docker and orchestration tools like Kubernetes. Familiarity with Infrastructure as Code (IaC) tools such as Terraform or CloudFormation. Knowledge of data engineering and experience with big data technologies like Hadoop, Spark, or Kafka. Experience with CI/CD pipelines and automation, such as using Jenkins, GitLab, or CircleCI. … find out if this is possible in the current working environment. Job Title Technical Lead - Defence Job ID 57548 Location United Kingdom Work arrangement Hybrid Area of work Software Engineering Employment type Regular Position type Professional Up to 80% or 4 days a week (home on weekends - based on project requirements) Company IBM Shift General (daytime More ❯

on varied, high-impact projects in a collaborative environment where your ideas and growth truly matter. 💡 Why this role? Be part of a growing, innovative consultancy combining business change, data, and software expertise. Work on a variety of projects — from building web apps to exploring low-code and automation platforms . Hybrid working: 3 days per week in a … RESTful APIs . Understanding of software testing principles , performance, and security best practices. Strong communication and problem-solving skills, and a willingness to learn. A degree in Computer Science, Engineering, or a related field. ✨ Nice-to-haves: Exposure to data engineering concepts such as ETL processes or integration pipelines. Experience with low-code development (Power Platform, Outsystems … Mendix). Interest in automation, data visualization, or digital transformation projects. 💰 Package & Benefits: Salary up to £55,000 , depending on experience. Hybrid working – 3 days per week in the London office , 2 from home. Private medical insurance. More ❯

on varied, high-impact projects in a collaborative environment where your ideas and growth truly matter. 💡 Why this role? Be part of a growing, innovative consultancy combining business change, data, and software expertise. Work on a variety of projects — from building web apps to exploring low-code and automation platforms . Hybrid working: 3 days per week in a … RESTful APIs . Understanding of software testing principles , performance, and security best practices. Strong communication and problem-solving skills, and a willingness to learn. A degree in Computer Science, Engineering, or a related field. ✨ Nice-to-haves: Exposure to data engineering concepts such as ETL processes or integration pipelines. Experience with low-code development (Power Platform, Outsystems … Mendix). Interest in automation, data visualization, or digital transformation projects. 💰 Package & Benefits: Salary up to £55,000 , depending on experience. Hybrid working – 3 days per week in the London office , 2 from home. Private medical insurance. More ❯

on varied, high-impact projects in a collaborative environment where your ideas and growth truly matter. Why this role? Be part of a growing, innovative consultancy combining business change, data, and software expertise. Work on a variety of projects - from building web apps to exploring low-code and automation platforms . Hybrid working: 3 days per week in a … RESTful APIs . Understanding of software testing principles , performance, and security best practices. Strong communication and problem-solving skills, and a willingness to learn. A degree in Computer Science, Engineering, or a related field. Nice-to-haves: Exposure to data engineering concepts such as ETL processes or integration pipelines. Experience with low-code development (Power Platform, Outsystems … Mendix). Interest in automation, data visualization, or digital transformation projects. Package & Benefits: Salary up to £55,000 , depending on experience. Hybrid working - 3 days per week in the London office , 2 from home. Private medical insurance. More ❯

Python - ML - LLM Data Pipelines and ETL - API Integration Familiar with .NET technologies Lead AI Engineer Location: Slough (Hybrid - two days per week in the office) Salary: £80,000 to £90,000 plus benefits Employment Type: Full time About the Organisation We are building a new generation of technology that helps manufacturers and industrial businesses turn raw maintenance, inventory … and purchasing data into intelligent insights and automated decisions. Our platform connects seamlessly with existing systems and transforms traditional operations into a fully data driven environment focused on efficiency, accuracy, and automation. This is a business with a clear purpose, strong backing, and a vision to help global industry move beyond static data and towards intelligent execution. … productionise LLM driven agents and workflows using frameworks such as LangChain or Semantic Kernel. Integrate AI functionality with existing systems that include .NET, React, and Azure. Develop and manage data pipelines and model training processes for classification, optimisation, and knowledge graph applications. Collaborate with engineers to ensure AI systems are secure, scalable, and reliable in production. Research, evaluate, and More ❯

Lead DataOps Engineer – Big Data Platform Location: London (Hybrid – 3 days per week in office) Salary: £80,000 – £90,000 + bonus About the Role Gravitas is partnering with a leading organisation to recruit a strategic and hands-on Operations Lead Engineer . This role is critical to ensuring the resilience, performance, and cost-effectiveness of an Azure-based … data platform . You’ll combine operational leadership with incident response, SLA management, cost optimisation (FinOps), and deployment oversight. As the single point of contact for operational issues, you’ll drive rapid resolution during outages, lead stakeholder communications, and shape processes that keep the platform running smoothly and efficiently. Key Responsibilities Maintain day-to-day stability and performance of … the Azure data platform (Synapse, Databricks, ADF, Power BI). Act as the primary contact for incidents and outages — driving resolution, root cause analysis, and clear communication. Define and enforce SLAs for critical pipelines, datasets, and reporting assets. Lead FinOps forums to improve cost transparency and efficiency. Oversee CI/CD pipelines and deployments for safe, compliant delivery. Champion More ❯

Data Delivery and Integration Manager - Full time permanent role - Retail industry - Remote/home-based - Salary up to £75,000 plus bonus, private healthcare and more! A large and growing retail business are looking to expand their IT function with the addition of a Data Integration Manager. This role will focus on end to end data engineering More ❯

Architect to our team. Key responsibilities: Understand and document our client's systems and integration landscape and then propose, design & deliver integration solutions. Architect the appropriate business intelligence/data-warehousing approach for integrating from our platform to the client data landscape. Define non-functional requirements (security requirements, scheduling, disaster recovery etc.) and assist with the implementation. Work … Alfa application and diagnosing issues. Collaborate with our functional experts to provide guidance to our clients about product functionality including standard methodology and inquisitive workarounds. Work with clients and engineering to add to and manage enhancements on our product roadmap. Support client teams with overall architecture deployment using existing supported platforms or our cloud hosted services as appropriate. Distil … Kafka, JMS, SQS etc). Experience with market-leading SaaS or iPaaS solutions. Hands-on AWS/Azure/Google Cloud experience. Database experience, including with reporting systems/data warehousing. Performance analysis, with tools like JProfiler/CodeGuru. Knowledge of Containers (Docker). Knowledge of and experience with data engineering concepts, tooling and patterns. What we More ❯

in the financial services sector? We’re hiring AI Engineers to join a global organisation undergoing major digital transformation. You’ll work on real-world automation, machine learning, and data-driven strategy initiatives that power critical functions across a large-scale financial environment. About the Role As an AI Engineer, you’ll design, build, and deploy AI and automation … solutions that modernise business processes, enhance decision-making, and drive operational efficiency. You’ll collaborate with cross-functional teams—including business strategy, operations, and engineering—to translate complex problems into scalable AI systems. This is a fantastic opportunity for someone who wants to grow in a high-performance environment and solve meaningful challenges within a regulated financial ecosystem. Key … Responsibilities ✅ Develop and deploy machine learning models and automation workflows ✅ Build data pipelines and integrate models into business systems ✅ Analyse financial and operational datasets to uncover insights ✅ Work with stakeholders to translate business needs into AI solutions ✅ Collaborate on AI governance, compliance, and model lifecycle management ✅ Optimise existing models for performance, reliability, and accuracy ✅ Contribute to digital transformation initiatives More ❯