876 to 900 of 1,000 Data Engineering Jobs in the UK

learning. Excellent problem-solving skills. Experience using a coding language to develop models and analytical tools. Experience manipulating and analyzing 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 (e.g., pandas, numpy, statsmodel More ❯

I'm working with a highly successful tech-driven organisation in Edinburgh who are looking for a Principal Software/Data Engineer to take ownership of their growing Snowflake platform ( hybrid - 2 days in office per week ). They've recently begun their Snowflake journey after partnering with a third party to get things off the ground and are … Snowflake is used across the business. This is a hands-on technical leadership role where you'll be the go-to expert for everything Snowflake related within the wider Data Platform group. You'll work closely with a talented team of Software and Data Engineers who handle everything from data integration to infrastructure and APIs. The team … get the most out of the platform while ensuring it's scalable, maintainable and future proof. Day-to-day, you'll lead the team to design and build robust data platform solutions in Snowflake, improve workflows, and set best practices for data integration and storage. The role sits between software and data engineering where one day More ❯

I'm working with a highly successful tech-driven organisation in Edinburgh who are looking for a Principal Software/Data Engineer to take ownership of their growing Snowflake platform ( hybrid - 2 days in office per week ). They've recently begun their Snowflake journey after partnering with a third party to get things off the ground and are … Snowflake is used across the business. This is a hands-on technical leadership role where you'll be the go-to expert for everything Snowflake related within the wider Data Platform group. You'll work closely with a talented team of Software and Data Engineers who handle everything from data integration to infrastructure and APIs. The team … get the most out of the platform while ensuring it's scalable, maintainable and future proof. Day-to-day, you'll lead the team to design and build robust data platform solutions in Snowflake, improve workflows, and set best practices for data integration and storage. The role sits between software and data engineering where one day More ❯

/CD pipelines using GitHub Actions. You will be part of a team responsible for designing, implementing, and maintaining scalable, secure, and cost-effective cloud infrastructure to support our data and analytics platform. This role requires a strong background in cloud infrastructure automation, platform governance, and enterprise-grade security and compliance in Azure. Key Responsibilities: Design, build, and manage … controls across cloud resources. Monitor and manage cloud costs using Azure Cost Management, ensuring resources are optimized and within budget. Architect and support Databricks workspaces, focusing on Unity Catalog, data access control, workspace deployment, and platform reliability. Collaborate with data engineering and analytics teams to ensure Databricks is performant, secure, and well-integrated with enterprise systems. Create … automation. Strong scripting skills (e.g., Python, PowerShell, Bash) and comfort working with APIs and automation tools. Excellent problem-solving and communication skills; ability to work cross-functionally with security, data, and DevOps teams. Nice to Have: Experience with multi-cloud or hybrid cloud architectures. Knowledge of Infrastructure as Code testing frameworks (e.g., Terratest, Checkov). Familiarity with Azure DevOps More ❯

and operating large scale systems on AWS? You could be progressing your career as a Technical Architect at a growing tech company that provide a range of IoT and Data solutions for the Emergency Services. As the Technical Architect you'll take ownership and drive the end-to-end architecture for the core insights platform, across infrastructure, data, security and application layers. You'll design and implement scalable, cost effective AWS architectures that support high-throughput, mission critical IoT and data workloads, governing platform standards, documentation and best practices across multiple engineering teams. Your role will also encompass leading the definition and enforcement of infrastructure as code (IaC), observability and automation frameworks and integration of … streaming and messaging solutions such as Kafka, SQS or SNS for data ingestion and event-driven processing. You'll collaborate with development, DevOps and data engineering on various initiatives and champion security and compliance within the platform to adhere to GDPR, ISO27001 and data governance frameworks. Location/WFH: There's a remote first policy, you More ❯

Location: London (Hybrid: 2–3 days onsite) Clearance: Must hold or be eligible for SC-level security clearance Sponsorship: Not available for this role We’re seeking an experienced Data Engineer to join a dynamic AWS-focused team. This role involves building and optimising data pipelines, delivering scalable solutions and collaborating with cross-functional teams to meet client … objectives. What you’ll do Design and maintain AWS data pipeline architecture Develop solutions using Python, AWS Glue, Step Functions, EMR and Redshift Implement CI/CD pipelines and ensure best practices for security and scalability Work closely with developers, architects, and analysts on data initiatives Required Skillset 5+ years professional experience in Data engineering roles More ❯

Location: London (Hybrid: 2–3 days onsite) Clearance: Must hold or be eligible for SC-level security clearance Sponsorship: Not available for this role We’re seeking an experienced Data Engineer to join a dynamic AWS-focused team. This role involves building and optimising data pipelines, delivering scalable solutions and collaborating with cross-functional teams to meet client … objectives. What you’ll do Design and maintain AWS data pipeline architecture Develop solutions using Python, AWS Glue, Step Functions, EMR and Redshift Implement CI/CD pipelines and ensure best practices for security and scalability Work closely with developers, architects, and analysts on data initiatives Required Skillset 5+ years professional experience in Data engineering roles More ❯

Insight Global’s client is looking for a Senior Data Engineer to join their Finance and Operations team, responsible for designing and maintaining Azure-based data pipelines and APIs, building and optimizing ETL processes, managing large datasets, troubleshooting data issues, and documenting technical solutions. The ideal candidate will have strong coding skills in Python and SQL, experience … with dbt, Azure DevOps, and CI/CD best practices, and a solid understanding of data warehousing principles. Success in this role requires excellent communication, a collaborative mindset, and proactive problem-solving to mitigate blockers and deliver scalable solutions. Candidates with experience in tools like Snowflake, Airflow, or Terraform, familiarity with infrastructure as code, and exposure to financial and … operational data domains will stand out. This is a full-time onsite position in our London office, working closely with global teams to ensure data quality, automation, and continuous improvement. Please note, this is a 6 month contract-to-hire position and would require you to be on-site 5 days a week out of the London office. More ❯

Insight Global’s client is looking for a Senior Data Engineer to join their Finance and Operations team, responsible for designing and maintaining Azure-based data pipelines and APIs, building and optimizing ETL processes, managing large datasets, troubleshooting data issues, and documenting technical solutions. The ideal candidate will have strong coding skills in Python and SQL, experience … with dbt, Azure DevOps, and CI/CD best practices, and a solid understanding of data warehousing principles. Success in this role requires excellent communication, a collaborative mindset, and proactive problem-solving to mitigate blockers and deliver scalable solutions. Candidates with experience in tools like Snowflake, Airflow, or Terraform, familiarity with infrastructure as code, and exposure to financial and … operational data domains will stand out. This is a full-time onsite position in our London office, working closely with global teams to ensure data quality, automation, and continuous improvement. Please note, this is a 6 month contract-to-hire position and would require you to be on-site 5 days a week out of the London office. More ❯

deal making process, with the founders having had firsthand experience of the lengthiness and challenges of deal processes in the past. Their stack spans across back end, front end, data and crucially AI.This is a great opportunity for an entrepreneurial software engineer who wants to play a part in shaping the technical vision of this business and work on … their product from an early stage. What you'll work on: Backend APIs (Python/FastAPI): Build and maintain secure, high-performance services that drive AI features and data access at scale. RAG & vector search: Design and improve retrieval pipelines (embeddings, chunking, hybrid search, ranking, feedback loops), owning schema design, latency, and relevance across vector databases. LLM integration: Connect … and orchestrate large language models (OpenAI, Bedrock, etc.), manage prompts, tools, safeguards, and evaluation. Data pipelines: Ingest, clean, and transform structured and unstructured data; design efficient schemas (Postgres/NoSQL) for search and analytics. Frontend (React/Next.js): Deliver user-friendly, performant UIs that make AI-powered features (search, filters, explanations, citations) clear and accessible. Architecture: Shape a More ❯

Senior LLM Engineer – London | Hybrid (2 days per week on-site, Bank area) My client is a long-established consultancy that originally built its reputation in data engineering and wider data transformation, and over the past few years has grown a strong applied AI practice. They tend to work with UK organisations where data security, reliability … ll be doing: • Owning the design and build of LLM-based systems end-to-end • Fine-tuning and adapting models (LoRA, instruction tuning, PEFT etc) rather than just prompt-engineering • Building RAG workflows, embedding strategies, memory layers and domain grounding • Working out how to measure output quality, reduce hallucination risk and improve robustness • Optimising inference performance (quantisation, distillation, pruning … able to be in London (Bank area) twice a week • This is a senior role – typically someone with 3+ years’ experience in ML/AI roles, ideally from a data science or applied ML background Benefits/set-up: • Modern kit (MacBook etc.) • 27 days annual leave + bank holidays • 4-week paid sabbatical after 4 years’ tenure • Regular More ❯

Senior LLM Engineer – London | Hybrid (2 days per week on-site, Bank area) My client is a long-established consultancy that originally built its reputation in data engineering and wider data transformation, and over the past few years has grown a strong applied AI practice. They tend to work with UK organisations where data security, reliability … ll be doing: • Owning the design and build of LLM-based systems end-to-end • Fine-tuning and adapting models (LoRA, instruction tuning, PEFT etc) rather than just prompt-engineering • Building RAG workflows, embedding strategies, memory layers and domain grounding • Working out how to measure output quality, reduce hallucination risk and improve robustness • Optimising inference performance (quantisation, distillation, pruning … able to be in London (Bank area) twice a week • This is a senior role – typically someone with 3+ years’ experience in ML/AI roles, ideally from a data science or applied ML background Benefits/set-up: • Modern kit (MacBook etc.) • 27 days annual leave + bank holidays • 4-week paid sabbatical after 4 years’ tenure • Regular More ❯

technical solutions through close collaboration with stakeholders. Contribute to Agile delivery cycles , ensuring timely release of enhancements and updates. Generate and maintain management information (MI) through SQL reporting and data engineering activities. Ensure data security, integrity, and compliance across all integrated systems. Participate in system architecture planning , performance optimisation, and ongoing platform maintenance. Tech Stack: Proficiency in … C#/.NET development , including plugins and custom workflows. Experience with Microsoft Dynamics 365 (CRM) configuration and customisation. Strong understanding of SQL Server , data structures, and reporting. Familiarity with RESTful APIs, Power Platform, and Azure services . Advantageous: experience with JavaScript , financial services systems, and compliance frameworks (GDPR, ISO 27001). Benefits & Working Environment: Competitive remuneration and benefits package. 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 ❯

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 ❯

Senior Sales Engineer EMEA - Series B $100M Funded Gen Ai Vendor Location: Remote Status: Full-time Department: Sales Engineering About the Company Our client is a leading provider of AI and Agent Engineering observability and evaluation solutions. As generative AI reshapes industries, this company empowers teams to monitor, troubleshoot, and optimize their AI systems with confidence. Their platform … unifies the entire AI lifecycle—from build and test to deployment and monitoring—helping engineering teams deliver reliable, high-performing applications at scale. Backed by strong funding and trusted by global enterprises, the company is growing rapidly as organizations embrace the next generation of AI technologies. Competitive OTE's plus benefits and equity on offer. The Opportunity The engineering … the value of the platform, guide technical evaluations, and drive proof-of-concept engagements from requirements gathering through to completion. One day you might be presenting to a Chief Data Officer, and the next, hands-on developing a demonstration model to showcase the platform’s capabilities.# Key Responsibilities Act as a trusted technical advisor to customers and prospects. Build More ❯

this is a voluntary unpaid role. Responsibilities To provide leadership, strategic planning, and administrative and personnel management across the entire Division, particularly with projects that combine "Sustainable Finance" and "Data Technologies" in response to demands from governments; To report to the Director-General, the ExCo, and advisors on progress across the management and a wide range of projects taking … Finance standards - This includes financial products such as Fixed Income (e.g. ICMA Green Bonds Principles, ISO 14030, etc), Equities (e.g. SASB, GRI, IFRS), and EU Taxonomy, among others. Transformational Data Technologies Blockchain and Distributed Ledger Technologies - This should include well-known open-source projects like Ethereum as well as domain-specific ones like Corda R3. Artificial Intelligence - The increasing … amount of data from ESG investment requires the use of new technologies like Machine Learning (ML). The Director of Research in this Division should demonstrate experience with supervised and unsupervised ML. Internet of Things - Data from real economy projects in sectors such as Energy, Transport, Materials & Buildings, and Agriculture, among others could be collected in order to 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 ❯