676 to 700 of 875 Data Engineering Jobs in England

Data Support Engineer A leading financial services organisation is looking for a Data Support Engineer (Matillion) to join their growing Data Platform function. This is a hands-on role focused on keeping core data services stable, reliable, and running efficiently across a large estate. You’ll work closely with platform, data engineering, and DBA … teams, ensuring Matillion pipelines and the wider Snowflake environment remain performant and well-supported. The Role Maintain and monitor Matillion ETL pipelines Support the wider Snowflake data platform Resolve platform incidents and performance issues Improve observability, monitoring, and automation Work with data engineers, DBAs and platform teams Follow governance, access and change control processes What They’re Looking … For Strong experience supporting Matillion ETL pipelines (essential) Exposure to Snowflake or similar data warehouse platforms Good SQL skills for troubleshooting Experience with cloud environments (AWS preferred) Familiarity with monitoring or observability tools (CloudWatch, Datadog, etc.) Comfortable in a support/operations role focused on stability and incident management Package Up to £65,000 base salary Bonus scheme Other More ❯

About Data at Holland & Barrett At Holland & Barrett (H&B), we want to empower everyone to live healthier, happier lives. With over 150 years of experience, we're the largest health & wellness retailer in Europe and a globally trusted brand. Our ambition is to become the world's most trusted wellness partner, chosen by over 100 million people worldwide. … into five verticals: four embedded analytics areas aligned to key business functions, and a central Business Intelligence team focused on cross-functional reporting and performance enablement. Together with our Data Engineering and Data Science colleagues, we make data a strategic lever to achieve H&B's goals. As a Commercial Analyst in the Core Business Analytics … and historic benchmarks. Run deep dives into underperforming SKUs, range transitions, and residual inventory impact. Collaborate cross-functionally with BI Developers, Embedded Analysts, and Pricing & Promotions teams to deliver data products. Contribute to sprint planning and backlog shaping as part of the Commercial Ops analytics roadmap. Work with a modern data stack, including Redshift, BigQuery, Matillion, and Retool. More ❯

Senior Software Engineer (Data-Centric) Manchester or South London (Hybrid - 2 x a week in office) £70,000 - £85,000 + 10% bonus + excellent benefits Our client is a global self-defence intelligence and technology organisation helping governments and defence agencies act with confidence. They use AI, graph databases, cloud, and search technologies to deliver faster, smarter decision … globally. Develop in one or more core technology areas: NoSQL (MongoDB, DocumentDB) Graph databases (GraphDB, Neo4j) Search technologies (ElasticSearch, OpenSearch, SOLR) ML/AI frameworks (SageMaker, Bedrock) Cloud-based data engineering (AWS) Build and maintain cloud-native data pipelines, ensuring data quality, accuracy, and reliability. What We're Looking For 5+ years' experience in software or … Proven ability to deliver reliable, scalable systems using cloud technologies (AWS preferred). Strong understanding of system design , API-first development , and SDLC best practices . Experience with complex data systems - structured, unstructured, or graph-based. Curious, proactive, and comfortable "rolling your sleeves up" to solve hard problems. Why Join? Work on advanced data and intelligence platforms that More ❯

Lead Data Operations BI Analyst Salary: up to £83,000 + 10% bonus Location: North West London (2 days a week in-office) ABOUT THE COMPANY/ROLE An international entertainment and technology business undergoing a large-scale digital transformation is hiring a Lead Data Operations BI Analyst to join its Business Intelligence function. This is a hands … a growing BI Operations team, ideal for someone with strong AWS BI experience and an eye for process improvement and automation. ROLE AND RESPONSIBILITIES Oversee daily BI operations including data pipelines, ETL/ELT workflows, and reporting environments Ensure system stability, uptime, and SLA compliance through proactive monitoring Lead incident management, root cause analysis, and production deployments Implement automation … and observability to improve performance and reduce manual effort Manage L2 support issues and coordinate fixes with Engineering and DevOps teams Drive improvements in data quality, governance, and workflow efficiency Collaborate with stakeholders across BI, Data Engineering, and AI teams SKILLS AND EXPERIENCE Required: 5+ years’ experience in BI Operations or Production Support (AWS environment) Strong More ❯

organizations unlock the value of technology and build a more sustainable, more inclusive world. YOUR ROLE We are looking for a skilled Spark/Scala Developer to join our data engineering team. The ideal candidate will have hands-on experience in designing, developing, and maintaining large-scale data processing pipelines using Apache Spark and Scala. You will … work closely with data scientists, analysts, and engineers to build efficient data solutions and enable data-driven decision-making. YOUR PROFILE Develop, optimize, and maintain data pipelines and ETL processes using Apache Spark and Scala. Design scalable and robust data processing solutions for batch and real-time data. Collaborate with cross-functional teams to gather … requirements and translate them into technical specifications. Perform data ingestion, transformation, and cleansing from various structured and unstructured sources. Monitor and troubleshoot Spark jobs, ensuring high performance and reliability. Write clean, maintainable, and well-documented code. Participate in code reviews, design discussions, and agile ceremonies. Implement data quality and governance best practices. Stay updated with emerging technologies and More ❯

Senior Data Scientist – Media - London - up to £110k Are you a pro at building and deploying ML models? Are you tired of just tinkering with the latest tech without actually making a real impact on business problems? Maybe you'd like to join our team of 50 like-minded ML scientists and engineers who work with zero red tape … to create practical solutions that actually work. We’re looking for a Senior Data Scientist who has experience developing Machine Learning models, evaluating and choosing the tools and technologies and driving projects. Who are we? We’re one of the UK’s largest media companies and we’re looking for a Senior Data Scientist to join our Data … like? You’ll come from a strong statistical analysis/mathematical background with experience in applying solutions to real world problems. You’ll be able to identify opportunities in data, have experience reviewing code for juniors colleagues, worked with Data Engineering, Machine Learning and non technical stakeholders. You’ll be comfortable assessing and determining how to optimize More ❯

Data Science Engineer My client is recruiting for a Data Science Engineer to design, develop, and deliver AI and analytics solutions aligned with the organisations Data & AI strategy. Key Responsibilities End-to-end development of AI/ML solutions. MLOps practices: CI/CD, model monitoring, retraining. Use of open-source and enterprise tools (LangChain, Azure OpenAI … Databricks). Generative AI features: embeddings, RAG, AI agents. Clean, testable code with modern engineering practices. Align with enterprise architecture and governance. Collaborate with architects and stakeholders. Lifecycle management of models. Pilot emerging technologies. Experience & Skills 2–4 years in production-level AI/ML delivery. Legal/professional services experience is a plus. AI/ML frameworks: PyTorch … TensorFlow, LangChain. Cloud: Azure (preferred), AWS, GCP. MLOps: CI/CD, model lifecycle, monitoring. Generative AI: LLMs, RAG, chat agents. Data engineering alignment: ETL, governance. Strong coding, communication, and collaboration skills. Strategic thinking, problem-solving, and stakeholder engagement. More ❯

Data Science Engineer My client is recruiting for a Data Science Engineer to design, develop, and deliver AI and analytics solutions aligned with the organisations Data & AI strategy. Key Responsibilities End-to-end development of AI/ML solutions. MLOps practices: CI/CD, model monitoring, retraining. Use of open-source and enterprise tools (LangChain, Azure OpenAI … Databricks). Generative AI features: embeddings, RAG, AI agents. Clean, testable code with modern engineering practices. Align with enterprise architecture and governance. Collaborate with architects and stakeholders. Lifecycle management of models. Pilot emerging technologies. Experience & Skills 2–4 years in production-level AI/ML delivery. Legal/professional services experience is a plus. AI/ML frameworks: PyTorch … TensorFlow, LangChain. Cloud: Azure (preferred), AWS, GCP. MLOps: CI/CD, model lifecycle, monitoring. Generative AI: LLMs, RAG, chat agents. Data engineering alignment: ETL, governance. Strong coding, communication, and collaboration skills. Strategic thinking, problem-solving, and stakeholder engagement. More ❯

Data Science Engineer My client is recruiting for a Data Science Engineer to design, develop, and deliver AI and analytics solutions aligned with the organisations Data & AI strategy. Key Responsibilities * End-to-end development of AI/ML solutions. * MLOps practices: CI/CD, model monitoring, retraining. * Use of open-source and enterprise tools (LangChain, Azure OpenAI … Databricks). * Generative AI features: embeddings, RAG, AI agents. * Clean, testable code with modern engineering practices. * Align with enterprise architecture and governance. * Collaborate with architects and stakeholders. * Lifecycle management of models. * Pilot emerging technologies. Experience & Skills * 2-4 years in production-level AI/ML delivery. * Legal/professional services experience is a plus. * AI/ML frameworks: PyTorch … TensorFlow, LangChain. * Cloud: Azure (preferred), AWS, GCP. * MLOps: CI/CD, model lifecycle, monitoring. * Generative AI: LLMs, RAG, chat agents. * Data engineering alignment: ETL, governance. * Strong coding, communication, and collaboration skills. * Strategic thinking, problem-solving, and stakeholder engagement. In accordance with the Employment Agencies and Employment Businesses Regulations 2003, this position is advertised based upon DGH Recruitment Limited More ❯

As a Data and Analytics Engineer, you are at the forefront of turning raw data into actionable insights. You develop and maintain solid data infrastructure, creating structured datasets optimised for analysis with modern BI tools and data users. This role combines the technical expertise of data engineering with the strategic understanding of a data More ❯

We’re seeking a Lead Data Engineer to design and deliver scalable data and AI solutions across internal and client projects. You’ll own the full data lifecycle — from ingestion and processing to deployment and monitoring of machine learning models — while leading a small, high-performing team. What You’ll Do Build and maintain data pipelines … cloud infrastructure (AWS/GCP). Develop AI-driven applications including LLM tools, RAG pipelines, and automation solutions. Lead on client communication , project delivery, and stakeholder alignment. Collaborate with Data Science and Analytics teams to improve data access, automation, and governance. Drive innovation through proofs-of-concept , model monitoring , and adoption of emerging AI tech. What We’re … Looking For 5+ years in data engineering, with team or project leadership experience. Advanced Python (Pandas, PyTorch, TensorFlow, Scikit-learn). Strong AWS/GCP , MySQL , and CI/CD experience; Docker/Kubernetes a plus. Excellent communication, organisation, and problem-solving skills. Passion for innovation and ethical, scalable AI. Nice to Have Experience in digital marketing or More ❯

We're seeking a Lead Data Engineer to design and deliver scalable data and AI solutions across internal and client projects. You'll own the full data life cycle - from ingestion and processing to deployment and monitoring of machine learning models - while leading a small, high-performing team. What You'll Do Build and maintain data … cloud infrastructure (AWS/GCP). Develop AI-driven applications including LLM tools, RAG pipelines, and automation solutions. Lead on client communication , project delivery, and stakeholder alignment. Collaborate with Data Science and Analytics teams to improve data access, automation, and governance. Drive innovation through proofs-of-concept , model monitoring , and adoption of emerging AI tech. What We're … Looking For 5+ years in data engineering, with team or project leadership experience. Advanced Python (Pandas, PyTorch, TensorFlow, Scikit-learn). Strong AWS/GCP , MySQL , and CI/CD experience; Docker/Kubernetes a plus. Excellent communication, organisation, and problem-solving skills. Passion for innovation and ethical, scalable AI. Nice to Have Experience in digital marketing or More ❯

potential extension) Start: ASAP Rate: Market rate - Inside IR35 We’re looking for experienced PySpark + Fabric Developers to join a major transformation programme with a leading global financial data and infrastructure organisation. This is an exciting opportunity to work on cutting-edge data engineering solutions, driving innovation and performance at scale. Key Responsibilities Design, build, and … optimise data pipelines for both batch and streaming workloads. Develop and manage dataflows and semantic models to support analytics and reporting. Implement complex data transformations, aggregations, and joins with a focus on performance and reliability. Apply robust data validation, cleansing, and profiling techniques to maintain accuracy. Enforce role-based access, data masking, and compliance standards. Tune … Strong hands-on experience with PySpark (RDDs, DataFrames, Spark SQL). Proven ability to build and optimise ETL pipelines and dataflows. Familiar with Microsoft Fabric or similar lakehouse/data platform environments. Experience with Git, CI/CD pipelines, and automated deployment. Knowledge of market data, transactional systems, or financial datasets. Excellent communication skills and collaborative mindset. Desirable More ❯

Data Science Engineer - MLOPS, Machine Learning, AI, Artificial Intelligence, Azure, PyTorch, TensorFlow, LangChain, OpenAI, Docker, Kubernetes, GenAI, ETL We are actively working with a global law firm who are actively looking to bolster their IT team as they undergo a global-scale cloud transformation. At present they are looking to take on a new Data Science Engineer (MLOPS … join a top-tier global law firm who have a long-stream of projects in the pipeline alongside a diverse and collaborative team environment. To be considered for this Data Science Engineer (MLOPS, Machine Learning, AI, Artificial Intelligence, Azure, PyTorch, TensorFlow, LangChain, OpenAI, Docker, Kubernetes, GenAI, ETL) role, it's ideal you have: Ideal but not required law firm … experience 2-4 years experience within AI/ML positions Knowledge of cloud platforms (Ideally Azure) AI/ML Frameworks Generative AI Data engineering knowledge Solution Delivery Design, build, and deploy data science and AI solutions end-to-end, from design and development through testing, release, monitoring, and support. Operationalize models with CI/CD pipelines, automated More ❯

A leading global investment firm is seeking a Weather Data Engineer to help build proprietary weather analytics and infrastructure that directly powers alpha generation across its commodities trading strategies. This is a high-impact opportunity to work at the intersection of data engineering, meteorology, and AI-driven forecasting. Weather data is central to the firm's … edge - from raw satellite observations to climate simulations and proprietary model outputs. You'll be part of a specialist team driving innovation in how weather data is ingested, transformed, and deployed across the investment process. Responsibilities: Design and maintain scalable, cloud-native (AWS) pipelines for ingesting and processing real-time and historical weather data. Build robust APIs and data services to serve weather data and AI model outputs to researchers, quants, and traders. Support the development and deployment of proprietary forecasting models, including workflows for blending, debiasing, and fine-tuning. Collaborate with meteorologists, data scientists, and AI researchers to onboard new datasets and accelerate research. Implement automated data validation, monitoring, and alerting to ensure reliability More ❯

Data Engineer - Sought by Boutique Hedge Fund - Permanent - London Salary : £95 - 125k + Bonus About the Role : Build and operate data pipelines and analytics platforms in the cloud. Work with engineers and analysts to design, implement, and maintain reliable, observable ETL/ELT workflows using Airflow and managed cloud services. Focus on Python-first implementations, high-quality SQL … Airflow orchestration, and query engines such as Athena, Trino, or ClickHouse. Required Skills: Hands-on software development and data engineering experience. Must have strong financial or trading background. Strong Python & SQL skills: writing clean, testable code following SOLID principles. Hands-on experience using Athena, Trino, ClickHouse, or other distributed SQL engines and knowledge of cost/scan optimization. … Experience with cloud platforms (AWS/Azure/GCP): working with object storage, managed query services, and data catalogs. More ❯

Data Engineer - Sought by Boutique Hedge Fund - Permanent - London Salary : £95 - 125k + Bonus About the Role : Build and operate data pipelines and analytics platforms in the cloud. Work with engineers and analysts to design, implement, and maintain reliable, observable ETL/ELT workflows using Airflow and managed cloud services. Focus on Python-first implementations, high-quality SQL … Airflow orchestration, and query engines such as Athena, Trino, or ClickHouse. Required Skills: Hands-on software development and data engineering experience. Must have strong financial or trading background. Strong Python & SQL skills: writing clean, testable code following SOLID principles. Hands-on experience using Athena, Trino, ClickHouse, or other distributed SQL engines and knowledge of cost/scan optimization. … Experience with cloud platforms (AWS/Azure/GCP): working with object storage, managed query services, and data catalogs. More ❯

About the role Position: Senior Product Manager Location: London, UK Work Style: Hybrid Simple Machines. Data Engineered to Life Simple Machines is a leading independent boutique technology firm with a global presence, including teams in London, Sydney, San Francisco, and New Zealand. We specialise in creating technology solutions at the intersection of data, AI, machine learning, data engineering, and software engineering. Our mission is to help enterprises, technology companies, and governments better connect with and understand their organisations, their people, their customers, and citizens. We are a team of creative engineers and technologists dedicated to unleashing the potential of data in new and impactful ways. We design and build bespoke data platforms and … unique software products, create and deploy intelligent systems, and bring engineering expertise to life by transforming data into actionable insights and tangible outcomes. Brief overview of the role's responsibilities Lead cross-functional teams to deliver data-led solutions for enterprise clients, focusing on high-quality outcomes and measurable business value. Provide product management expertise within the More ❯

for the right candidate. A market-leading global e-commerce client is urgently seeking a Senior MLOps Lead to establish and drive operational excellence within their largest, most established data function (60+ engineers). This is a mission-critical role focused on scaling their core on-site advertising platform from daily batch processing to real-time capability. This role … suits a hands-on MLOps expert who is capable of implementing new standards, automating deployment lifecycles, and mentoring a large engineering team on best practices. What you'll be doing: MLOps Strategy & Implementation: Design and deploy end-to-end MLOps processes, focusing heavily on governance, reproducibility, and automation. Real-Time Pipeline Build: Architect and implement solutions to transition high … tracking, and deployment within the Databricks platform. DevOps for ML: Build and automate robust CI/CD pipelines using GIT to ensure stable, reliable, and frequent model releases. Performance Engineering: Profile and optimise large-scale Spark/Python codebases for production efficiency, focusing on minimising latency and cost. Knowledge Transfer: Act as the technical lead to embed MLOps standards More ❯

for the right candidate. A market-leading global e-commerce client is urgently seeking a Senior MLOps Lead to establish and drive operational excellence within their largest, most established data function (60+ engineers). This is a mission-critical role focused on scaling their core on-site advertising platform from daily batch processing to real-time capability. This role … suits a hands-on MLOps expert who is capable of implementing new standards, automating deployment lifecycles, and mentoring a large engineering team on best practices. What you'll be doing: MLOps Strategy & Implementation: Design and deploy end-to-end MLOps processes, focusing heavily on governance, reproducibility, and automation. Real-Time Pipeline Build: Architect and implement solutions to transition high … tracking, and deployment within the Databricks platform. DevOps for ML: Build and automate robust CI/CD pipelines using GIT to ensure stable, reliable, and frequent model releases. Performance Engineering: Profile and optimise large-scale Spark/Python codebases for production efficiency, focusing on minimising latency and cost. Knowledge Transfer: Act as the technical lead to embed MLOps standards More ❯

strategic initiative within Financial Services aimed at delivering a unified, trusted view of customer data. We're seeking a highly skilled Lead Databricks Engineer to design and implement scalable data pipelines that form the backbone of our Lakehouse platform, enabling accurate analytics, reporting, and regulatory compliance. You'll work with cutting-edge technologies including Databricks , PySpark , and Azure Data Factory , applying best practices in data engineering and governance to support this critical programme. Lead Databricks Engineer: Key Responsibilities Build and maintain Databricks pipelines (batch and incremental) using PySpark and SQL. Orchestrate end-to-end workflows with Azure Data Factory . Develop and optimise Delta Lake tables (partitioning, schema evolution, vacuuming). Implement Medallion Architecture (Bronze … Silver, Gold) for transforming raw data into business-ready datasets. Apply robust monitoring, logging, and error-handling frameworks. Integrate pipelines with downstream systems such as Power BI . Collaborate with analysts, business teams, and engineers to deliver consistent, well-documented datasets. Support deployments and automation via Azure DevOps CI/CD . Gather and refine requirements from business stakeholders. More ❯

Mercator Digital is looking for a Data Specialist to be part of our growing consultancy. We're looking for a dynamic, forward-thinking Data Specialist with excellent communications that wants to learn new technologies and promote best practice. Role Expectations: Understand product owners needs to translate business requirements into analytics requirements and ensure that priorities are met. Create … visualisation of data, conduct deep-dive analysis and share insights & recommendations Ensure data collection and standardisation is met and explain methodologies to stakeholders Communicating efficiently and work together within a multi-disciplinary team, fostering the open and collaborative culture Enable data driven decision making to personalize the journeys of individuals to ensure they have the best and … most appropriate experience Produce product performance dashboards, user segmentation analysis, media agency tagging implementation Produce program dashboards and weekly analysis/information updates Experience Required : Cloud & Data Engineering: Proven experience with Google Cloud Platform (Projects, IAM, Storage, Dataprep), Azure SQL, Cosmos DB, and JSON data handling Digital & Web Analytics: Hands-on expertise with Google 360 (GA, GTM More ❯

Data Engineer Initial 6 month Contract| Hybrid 3 days onsite (London)2 remote | £430p/day (Inside IR35 Via umbrella) Currently on the look for a Data Engineer for an exciting project with our consultancy client! Looking for someone who is a hands on problem solver with a strong foundation in Python development, Databricks (preferably on AWS), and … a good understanding of machine learning (ML) workflow. What I’m looking for: Strong programming experience in Python, including data processing, automation, and ETL development. Hands-on experience with Databricks (ideally on AWS), including notebook workflows, cluster management, and performance tuning. Solid understanding of data engineering principle-pipelines, orchestration, and version control (Git, CI/CD). More ❯

Data Engineer Initial 6 month Contract| Hybrid 3 days onsite (London)2 remote | £430p/day (Inside IR35 Via umbrella) Currently on the look for a Data Engineer for an exciting project with our consultancy client! Looking for someone who is a hands on problem solver with a strong foundation in Python development, Databricks (preferably on AWS), and … a good understanding of machine learning (ML) workflow. What I’m looking for: Strong programming experience in Python, including data processing, automation, and ETL development. Hands-on experience with Databricks (ideally on AWS), including notebook workflows, cluster management, and performance tuning. Solid understanding of data engineering principle-pipelines, orchestration, and version control (Git, CI/CD). More ❯

SDLC best practices. Proven expertise in cloud-native architecture, ideally within the Microsoft Azure ecosystem. Solid understanding of AI and machine learning solution patterns. Deep knowledge of API design, data integration, and security standards (OAuth2, SSO, encryption). Ability to create clear, well-structured architectural documentation, including diagrams and roadmaps. Excellent communication and stakeholder management skills, with the ability … to bridge business objectives and technical delivery. Desirable Skills Background in full-stack or backend engineering, using technologies such as Python, TypeScript, or .NET. Experience with data engineering and data architecture concepts. Familiarity with MLOps practices and AI development frameworks (e.g., Azure AI, LangChain, Hugging Face). Relevant certifications in Azure Architecture, Data, or AI More ❯