76 to 100 of 124 Data Engineer Jobs in Central London

us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world. Your Role Capgemini Financial Services is seeking a Data Engineer with deep expertise in DBT (Data Build Tool), Snowflake, and PL/SQL to join our growing data team. Person will be responsible for designing … developing, and maintaining robust data transformation pipelines that support business intelligence, analytics, and data science initiatives. Key Responsibilities: Design and implement scalable data models and transformation pipelines using DBT on Snowflake. Write efficient and maintainable PL/SQL code for complex data processing and transformation tasks. Collaborate with data analysts, data scientists, and business … stakeholders to understand data requirements and deliver high-quality solutions. Optimize Snowflake performance through query tuning, clustering, and resource management. Ensure data quality, integrity, and governance through testing, documentation, and monitoring. Participate in code reviews, architecture discussions, and continuous improvement initiatives. Maintain and enhance CI/CD pipelines for DBT projects. Required Qualifications: 5+ years of experience in More ❯

us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world. Your Role Capgemini Financial Services is seeking a Data Engineer with deep expertise in DBT (Data Build Tool), Snowflake, and PL/SQL to join our growing data team. Person will be responsible for designing … developing, and maintaining robust data transformation pipelines that support business intelligence, analytics, and data science initiatives. Key Responsibilities: Design and implement scalable data models and transformation pipelines using DBT on Snowflake. Write efficient and maintainable PL/SQL code for complex data processing and transformation tasks. Collaborate with data analysts, data scientists, and business … stakeholders to understand data requirements and deliver high-quality solutions. Optimize Snowflake performance through query tuning, clustering, and resource management. Ensure data quality, integrity, and governance through testing, documentation, and monitoring. Participate in code reviews, architecture discussions, and continuous improvement initiatives. Maintain and enhance CI/CD pipelines for DBT projects. Required Qualifications: 5+ years of experience in More ❯

Up to £75k 1 day per week onsite Central London Senior Data Engineer Opportunity: Permanent Salary: Up to £75k Hybrid: 1 day per week onsite Office Location: Central LondonOur client, a UK-based fintech operating an AI-powered intelligent commerce platform, is seeking a Senior Data Engineer to build and maintain the data infrastructure that … drives AI-enabled decision-making across their global operations. You'll design the data systems that underpin both strategic business intelligence and advanced AI capabilities. Key Responsibilities Design and build data warehouse solutions that support business objectives with optimal performance Develop, implement, and maintain robust ELT pipelines consuming data from internal systems and external partners Partner with … business stakeholders and customers to unlock data insights and build impactful analytical models Investigate and resolve system defects, respond to production incidents, and conduct thorough code reviews Provide technical leadership by staying current with emerging technologies and mentoring team members Technical Skills Strong expertise in SQL and database architecture Practical experience with data warehousing platforms (Snowflake, PostgreSQL, MySQL More ❯

Senior Data Engineer with 5+ years’ experience, and 2+ years in a Hedge Fund and/or in Systematic Trading Technology, sought by one of the original Quantitative Hedge Funds, with a 20+ year track-record. The firm are renowned for a healthy, supportive, and collegiate working environment and culture, with no siloes, boasting an industry-leading staff … tenure. You will join a 5-strong Data Engineering team in a Senior Individual Contributor capacity, working directly with Quant Researchers, Portfolio Managers and Traders, and designing and engineering the ingestion, storage, transformation and distribution of tick, timeseries, reference and alternative datasets. The technology stack spanson-premise and cloud infrastructure with technologies and tooling such as Python, dbt, KDB+ … Snowflake, SQL, interfacing with Market Data vendors such as Bloomberg, Refinitiv, Factset and MorningStar. This is an exciting time for you to join the team they consolidate our technology estate, revamp how they process and filter data, and overhaul the way data is accessed by their consumers, while continuing to onboard new datasets that enhance their strategies. More ❯

Senior Data Engineer with 5+ years’ experience, and 2+ years in a Hedge Fund and/or in Systematic Trading Technology, sought by one of the original Quantitative Hedge Funds, with a 20+ year track-record. The firm are renowned for a healthy, supportive, and collegiate working environment and culture, with no siloes, boasting an industry-leading staff … tenure. You will join a 5-strong Data Engineering team in a Senior Individual Contributor capacity, working directly with Quant Researchers, Portfolio Managers and Traders, and designing and engineering the ingestion, storage, transformation and distribution of tick, timeseries, reference and alternative datasets. The technology stack spanson-premise and cloud infrastructure with technologies and tooling such as Python, dbt, KDB+ … Snowflake, SQL, interfacing with Market Data vendors such as Bloomberg, Refinitiv, Factset and MorningStar. This is an exciting time for you to join the team they consolidate our technology estate, revamp how they process and filter data, and overhaul the way data is accessed by their consumers, while continuing to onboard new datasets that enhance their strategies. More ❯

Data & Insight Engineer Salary: £55,000-£60,000 + Share Options + Biannual Bonus Location: Central London (3 days in office) About the Company/Role Fast-growing food-tech scale-up founded by leaders from high-growth consumer brands. They work with and scale independent food brands using data to identify demand, optimise locations, and support … brand expansion through a proprietary tech platform. The Data & Insight Engineer will report to the Head of Analytics and work cross-functionally across data, engineering, and marketing teams to enhance data infrastructure and insight delivery. Role and Responsibilities Build and maintain reliable data pipelines using GCP and orchestration tools. Automate data processes and improve … accessibility across the business. Collaborate with marketing and operations to translate data into actionable insight. Support analytics projects focused on brand performance, customer engagement, and operational efficiency. Contribute to ongoing platform development and performance tracking. Skills and Experience Required 2+ years’ experience in data or analytics engineering. Strong SQL and Python skills. Experience with GCP ( Cloud Run , DataForm More ❯

Data & Insight Engineer Salary: £55,000-£60,000 + Share Options + Biannual Bonus Location: Central London (3 days in office) About the Company/Role Fast-growing food-tech scale-up founded by leaders from high-growth consumer brands. They work with and scale independent food brands using data to identify demand, optimise locations, and support … brand expansion through a proprietary tech platform. The Data & Insight Engineer will report to the Head of Analytics and work cross-functionally across data, engineering, and marketing teams to enhance data infrastructure and insight delivery. Role and Responsibilities Build and maintain reliable data pipelines using GCP and orchestration tools. Automate data processes and improve … accessibility across the business. Collaborate with marketing and operations to translate data into actionable insight. Support analytics projects focused on brand performance, customer engagement, and operational efficiency. Contribute to ongoing platform development and performance tracking. Skills and Experience Required 2+ years’ experience in data or analytics engineering. Strong SQL and Python skills. Experience with GCP ( Cloud Run , DataForm More ❯

Our client are building a custom AI platform from the ground up - no off-the-shelf solutions, no shortcuts. To power this, they need a skilled Azure AI Data Engineer to design and build robust ETL pipelines that enable seamless communication between structured and unstructured data systems. What You'll Be Doing Architecting and developing scalable ETL … pipelines using Azure Data Factory, Synapse, and related tools. Integrating structured (SQL, relational) and unstructured (NoSQL, blob storage, document stores) data sources. Enabling real-time and batch data flows to support AI-driven applications. Collaborating with AI engineers to ensure data readiness for model training and inference. Driving best practices in data governance, security, and … performance optimisation. What We're Looking For Strong experience with Azure cloud services, especially Data Factory, Synapse, Databricks, and Azure Functions. Proficiency in Python, SQL, and data transformation techniques. Experience working with both structured and unstructured data sources. Understanding of AI/ML data requirements and how to prepare data for intelligent systems. Based in More ❯

Senior Data Engineer | Microsoft Fabric🧵 | £60,000-£80,000 We’re working with a growing consultancy known for delivering modern, scalable data solutions. Their work sits at the intersection of strategy, engineering and innovation, empowering organisations to unlock value through cutting-edge Microsoft technologies. As part of their continued growth, they’re now seeking a Senior Data Engineer to take a pivotal role in delivering enterprise-grade data solutions, with a strong focus on Microsoft Fabric and the wider Azure ecosystem. What you’ll do: Lead the design and implementation of data platforms powered by Microsoft Fabric Guide delivery teams through complex builds across cloud-native architectures Bridge the gap between hands-on … engineering and technical strategy Collaborate closely with clients and internal stakeholders to translate needs into scalable solutions What you bring: Deep experience with Microsoft Azure , particularly around data services Proven track record delivering with tools such as Fabric , Synapse , or Databricks Proficiency in SQL, Python, and modern data engineering patterns Leadership experience within engineering or delivery teams A More ❯

Data QA Engineer We are seeking a QA Engineer with a strong background in data and analytics to help ensure the accuracy and reliability of both data pipelines and machine learning models . This role combines hands-on testing, automation, and close collaboration with engineering and data teams. About the Role You’ll take … ownership of quality assurance for data pipelines; you’ll have a strong understanding of SQL to verify data consistency and accuracy. You’ll support with automated QA solutions for data pipelines and testing the outputs of ML models. Responsibilities Design, develop, and execute comprehensive test plans and test cases for data pipelines and ML models. Implement … and maintain automated testing frameworks for data and ML quality assurance Perform thorough manual testing during initial development and complex feature releases Collaborate closely with Data Engineers, Data Scientists, and Product Managers Proactively identify, document, and track bugs and quality issues. Participate in code reviews and provide constructive feedback from a QA perspective. What We’re Looking More ❯

Data QA Engineer We are seeking a QA Engineer with a strong background in data and analytics to help ensure the accuracy and reliability of both data pipelines and machine learning models . This role combines hands-on testing, automation, and close collaboration with engineering and data teams. About the Role You’ll take … ownership of quality assurance for data pipelines; you’ll have a strong understanding of SQL to verify data consistency and accuracy. You’ll support with automated QA solutions for data pipelines and testing the outputs of ML models. Responsibilities Design, develop, and execute comprehensive test plans and test cases for data pipelines and ML models. Implement … and maintain automated testing frameworks for data and ML quality assurance Perform thorough manual testing during initial development and complex feature releases Collaborate closely with Data Engineers, Data Scientists, and Product Managers Proactively identify, document, and track bugs and quality issues. Participate in code reviews and provide constructive feedback from a QA perspective. What We’re Looking More ❯

Data Engineer Must be London-based, able to work from site in London with occasional travel to Croydon SC Clearance required/or eligible for clearance Contract duration: 2 years + Up To £41,000 per annum, depending on experience Job Purpose/The Role: We are seeking 3 experienced Data Engineers to support a high-profile … Public Sector client. These roles will be part of a large project, contributing to the ongoing development and live support of critical systems within a secure, agile, and data-driven environment. Your Key Responsibilities: Work collaboratively in a multi-disciplinary Agile & DevOps team to deliver data solutions and maintain live systems. Apply best practices for data integration … transformation, and delivery in a secure and scalable environment. Support data pipelines and ETL processes across various technologies and cloud platforms Maintain, monitor, and troubleshoot systems using a wide array of tools and platforms. Contribute to automation and continuous integration/deployment (CI/CD) efforts. Engage directly with clients and stakeholders, demonstrating excellent problem-solving and communication skills. More ❯

Senior Data Engineer - Hybrid - Contract - Outside IR35 Our client is expanding their core data engineering function and hiring two Senior Data Engineers to strengthen a modern, scalable data platform. Both will be Databricks specialists, with one role focused on deep technical delivery and the other combining hands-on engineering with team leadership and upskilling responsibilities. … Live Tables (DLT) pipelines across Bronze → Silver → Gold layers, ensuring quality, scalability, and reliability. Develop and optimise Spark (PySpark) jobs for large-scale distributed processing. Design and implement streaming data pipelines with Kafka/MSK, applying best practices for late event handling and throughput. Use Terraform and CI/CD pipelines (GitHub Actions or similar) to manage infrastructure and … automate deployments. (For leadership-focused role) Mentor and upskill engineers, define coding standards, and embed engineering excellence across the team. What’s Expected Proven experience delivering end-to-end data pipelines in Databricks and Spark environments. Strong understanding of data modelling, schema evolution, and data contract management. Hands-on experience with Kafka, streaming architectures, and real-time More ❯

Senior Data Engineer - Hybrid - Contract - Outside IR35 Our client is expanding their core data engineering function and hiring two Senior Data Engineers to strengthen a modern, scalable data platform. Both will be Databricks specialists, with one role focused on deep technical delivery and the other combining hands-on engineering with team leadership and upskilling responsibilities. … Live Tables (DLT) pipelines across Bronze → Silver → Gold layers, ensuring quality, scalability, and reliability. Develop and optimise Spark (PySpark) jobs for large-scale distributed processing. Design and implement streaming data pipelines with Kafka/MSK, applying best practices for late event handling and throughput. Use Terraform and CI/CD pipelines (GitHub Actions or similar) to manage infrastructure and … automate deployments. (For leadership-focused role) Mentor and upskill engineers, define coding standards, and embed engineering excellence across the team. What’s Expected Proven experience delivering end-to-end data pipelines in Databricks and Spark environments. Strong understanding of data modelling, schema evolution, and data contract management. Hands-on experience with Kafka, streaming architectures, and real-time More ❯

We’re hiring an AI Data Engineer to turn 3D assets and visuals into high-quality datasets for next-gen AI in digital play. Own the full data pipeline and help build scalable, creative systems at the crossroads of AI, data, and fun RESPONSIBILITIES Design and operate data ingestion pipelines for 3D assets, geometry, images … annotation vendors, and automate quality checks to ensure scalable, reliable datasets. Define schemas and metadata for digital assets, maintaining catalogues, lineage, and versioning to ensure reproducibility and governance. Enforce data quality, drift detection, and compliance (GDPR/COPPA), including watermarking and traceability to safeguard IP and user privacy. Collaborate with AI infrastructure engineers to optimize data storage and … compute performance for large-scale processing. Work with AI engineers to define data specifications, support experimentation, and integrate active learning loops that improve AI models over time. REQUIREMENTS 2 years of proven experience in data engineering for ML/AI, with strong proficiency in Python, SQL, and distributed data processing (e.g., PySpark). Hands-on experience with More ❯

We’re hiring an AI Data Engineer to turn 3D assets and visuals into high-quality datasets for next-gen AI in digital play. Own the full data pipeline and help build scalable, creative systems at the crossroads of AI, data, and fun RESPONSIBILITIES Design and operate data ingestion pipelines for 3D assets, geometry, images … annotation vendors, and automate quality checks to ensure scalable, reliable datasets. Define schemas and metadata for digital assets, maintaining catalogues, lineage, and versioning to ensure reproducibility and governance. Enforce data quality, drift detection, and compliance (GDPR/COPPA), including watermarking and traceability to safeguard IP and user privacy. Collaborate with AI infrastructure engineers to optimize data storage and … compute performance for large-scale processing. Work with AI engineers to define data specifications, support experimentation, and integrate active learning loops that improve AI models over time. REQUIREMENTS 2 years of proven experience in data engineering for ML/AI, with strong proficiency in Python, SQL, and distributed data processing (e.g., PySpark). Hands-on experience with More ❯

As data engineer, you will contribute to the development of a robust, validated and easily accessible data foundation instrumental in facilitating new analytical workflows and applications. About us Hexegic are a leading technical consultancy providing agile multi-disciplinary teams to high performing organisations. The company promises exciting, engaging and rewarding projects for those that are keen to … develop and build a successful career. Core Responsibilities Establishing new data integrations within the data foundation Conduct ETL activities as conducted by SMEs Configuring connections to other datasets within the data foundation Collaborate with SMEs to create, test and validate data models and outputs Set up monitoring and ensure data health for outputs What we … are looking for Proficiency in Python, with experience in Apache Spark and PySpark Previous experience with data analytics softwares Ability to scope new integrations and translate user requirements into technical specifications What’s in it for you? Base salary of £50,000-£60,000 £5000 a year professional development budget Wellness program 25 days annual leave Hybrid working arrangements More ❯

As data engineer, you will contribute to the development of a robust, validated and easily accessible data foundation instrumental in facilitating new analytical workflows and applications. About us Hexegic are a leading technical consultancy providing agile multi-disciplinary teams to high performing organisations. The company promises exciting, engaging and rewarding projects for those that are keen to … develop and build a successful career. Core Responsibilities Establishing new data integrations within the data foundation Conduct ETL activities as conducted by SMEs Configuring connections to other datasets within the data foundation Collaborate with SMEs to create, test and validate data models and outputs Set up monitoring and ensure data health for outputs What we … are looking for Proficiency in Python, with experience in Apache Spark and PySpark Previous experience with data analytics softwares Ability to scope new integrations and translate user requirements into technical specifications What’s in it for you? Base salary of £50,000-£60,000 £5000 a year professional development budget Wellness program 25 days annual leave Hybrid working arrangements More ❯

A small and highly successful organisation in the sustainability space are seeking a Data Engineer with some Power Platform experience to join their team. They have an office space in London, though this role is remote and is therefore open to candidates across the UK. They are on a mission to help businesses to reduce their carbon emissions … Cloud ecosystem - including Azure, Power Apps, Power Pages and Power BI, and allows for real-time engagement and AI-guided action plans for carbon reduction. Responsibilities include: Use Azure Data Factory to ingest, transform, and expose data across the platform Help centralise data into a Data Lake, ensuring it's clean, structured, and accessible Build data … solutions It's a broad role with lots to get involved in! We're not expecting you to have experience with everything mentioned above - the core skills are Azure Data Factory, and having a self-starter mentality with an enthusiasm to learn new things! Benefits include: Salary up to £70,000 depending on experience 25 days annual leave plus 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 … 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 More ❯

robot HMND 01 is a next-gen labour automation unit, providing highly efficient services across various use cases, starting with industrial applications. We are looking for Senior/Staff Data Engineer to join our team based in London, UK. Our Mission At Humanoid we strive to create the world’s leading, commercially scalable, safe, and advanced humanoid robots … labour needs. Responsibilities Curate, preprocess, and manage large datasets used for training humanoid robots — projected to reach hundreds of terabytes by 2025. Ensure the quality, accuracy, and consistency of data across multiple projects. Collaborate with machine learning teams to design data pipelines that support efficient training workflows. Develop and maintain data quality metrics reporting systems. Implement best … practices for data management, including versioning, security, and compliance. Expertise Bachelor’s or Master’s degree in Data Science, Computer Science, or a related field. 5+ years of experience in data engineering and data quality. Strong proficiency in Python/Java, SQL, and data processing frameworks including Apache Spark. Knowledge of machine learning and its More ❯

robot HMND 01 is a next-gen labour automation unit, providing highly efficient services across various use cases, starting with industrial applications. We are looking for Senior/Staff Data Engineer to join our team based in London, UK. Our Mission At Humanoid we strive to create the world’s leading, commercially scalable, safe, and advanced humanoid robots … labour needs. Responsibilities Curate, preprocess, and manage large datasets used for training humanoid robots — projected to reach hundreds of terabytes by 2025. Ensure the quality, accuracy, and consistency of data across multiple projects. Collaborate with machine learning teams to design data pipelines that support efficient training workflows. Develop and maintain data quality metrics reporting systems. Implement best … practices for data management, including versioning, security, and compliance. Expertise Bachelor’s or Master’s degree in Data Science, Computer Science, or a related field. 5+ years of experience in data engineering and data quality. Strong proficiency in Python/Java, SQL, and data processing frameworks including Apache Spark. Knowledge of machine learning and its 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 More ❯

Energy Domain is a must. Under 7 years of experience only. Permanent. Key Responsibilities Design, develop, and maintain data ingestion pipelines using open-source frameworks and tools Build and optimise ETL/ELT processes to handle small to large-scale data processing requirements Develop data models and schemas that support analytics, business intelligence and product needs Monitor … troubleshoot, and optimise data pipeline performance and reliability Collaborate with stakeholders, analysts and product team to understand data requirements Implement data quality checks and validation processes to ensure data integrity Participate in architecture decisions and contribute to technical roadmap planning Technical Skills: Great SQL skills with experience in complex query optimization Strong Python programming skills with … experience in data processing libraries (pandas, NumPy, Apache Spark) Hands-on experience building and maintaining data ingestion pipelines Proven track record of optimising queries, code, and system performance Experience with open-source data processing frameworks (Apache Spark, Apache Kafka, Apache Airflow) Knowledge of distributed computing concepts and big data technologies Experience with version control systems (Git More ❯

Energy Domain is a must. Under 7 years of experience only. Permanent. Key Responsibilities Design, develop, and maintain data ingestion pipelines using open-source frameworks and tools Build and optimise ETL/ELT processes to handle small to large-scale data processing requirements Develop data models and schemas that support analytics, business intelligence and product needs Monitor … troubleshoot, and optimise data pipeline performance and reliability Collaborate with stakeholders, analysts and product team to understand data requirements Implement data quality checks and validation processes to ensure data integrity Participate in architecture decisions and contribute to technical roadmap planning Technical Skills: Great SQL skills with experience in complex query optimization Strong Python programming skills with … experience in data processing libraries (pandas, NumPy, Apache Spark) Hands-on experience building and maintaining data ingestion pipelines Proven track record of optimising queries, code, and system performance Experience with open-source data processing frameworks (Apache Spark, Apache Kafka, Apache Airflow) Knowledge of distributed computing concepts and big data technologies Experience with version control systems (Git More ❯