176 to 200 of 540 Data Engineer Jobs in England

Role: Senior SQL Data Engineer Location: Wolverhampton, West Midlands Hybrid working: go into office 3 days a week Salary: £60,000 - £70,000 (dependent on experience) Insight into the Company: This organisation is a large, well-established bank who are looking to expand their existing Data Engineering team. You would be coming into a team of … Data Engineers as a Senior Data Engineer, and be responsible for maintaining the SQL Server, using T-SQL and building ETL pipelines. The ideal candidate will have experience working in the financial sector and working with end-to-end processes. Role and Responsibilities: You will mentor junior members in the team You will build ETL in SQL … You will use SSIS and SSRS Skills and Experience: Essential to have experience with: Expert level SQL and T-SQL ETL pipelines SSRS Stakeholder skills Interview Process Interview with Data Engineering Manager Interview with Data Engineering Manager and Senior Data Engineer on the team, including T-SQL tech test and soft skills More ❯

Data Engineer - Energy Consultancy £45,000 DOE | Full-Time, Permanent | Hybrid (Southampton) Join a company driving the UK's journey to net zero. We're hiring a Data Engineer for a purpose-led energy consultancy helping organisations reduce energy consumption, lower carbon emissions, and cut costs through innovative solutions and expert guidance. This is a fantastic … opportunity to join a tech-forward team committed to sustainability, professional development, and a collaborative working culture. The Role As a Data Engineer , you'll work as part of the dedicated Data Team to support internal reporting and external customer platforms. You'll design and maintain scalable pipelines using modern cloud technologies and help build a robust … new data platform for real-time analytics. Key Responsibilities: Own and deliver assigned data projects and BAU tasks Maintain data pipelines using Azure ADF and Synapse Analytics Transform raw CRM data into structured, curated datasets Develop event-driven data processes for internal and external use Contribute to best-practice architecture decisions and documentation Support reporting More ❯

Senior Data Engineer London, UK About the Role We're looking for a Senior Data Engineer to lead the design and delivery of modern, cloud-based data solutions. You'll play a key role in transforming enterprise data platforms, enabling global data alignment, and driving business value through scalable architecture and advanced analytics. … Key Responsibilities Design and implement end-to-end data pipelines using Azure and Databricks. Modernize legacy data warehouses and unify data across global regions. Optimize performance, cost, and scalability of data platforms. Mentor junior engineers and promote best practices. Collaborate with cross-functional teams to translate business needs into technical solutions. Core Skills Cloud & Platforms : Azure … AWS, SAP Data Engineering : ELT, Data Modeling, Integration, Processing Tech Stack : Databricks (PySpark, Unity Catalog, DLT, Streaming), ADF, SQL, Python, Qlik DevOps : GitHub Actions, Azure DevOps, CI/CD pipelines Please click here to find out more about our Key Information Documents. Please note that the documents provided contain generic information. If we are successful in finding you More ❯

Senior Data Engineer London, UK About the Role We're looking for a Senior Data Engineer to lead the design and delivery of modern, cloud-based data solutions. You'll play a key role in transforming enterprise data platforms, enabling global data alignment, and driving business value through scalable architecture and advanced analytics. … Key Responsibilities Design and implement end-to-end data pipelines using Azure and Databricks. Modernize legacy data warehouses and unify data across global regions. Optimize performance, cost, and scalability of data platforms. Mentor junior engineers and promote best practices. Collaborate with cross-functional teams to translate business needs into technical solutions. Core Skills Cloud & Platforms : Azure … AWS, SAP Data Engineering : ELT, Data Modeling, Integration, Processing Tech Stack : Databricks (PySpark, Unity Catalog, DLT, Streaming), ADF, SQL, Python, Qlik DevOps : GitHub Actions, Azure DevOps, CI/CD pipelines Please click here to find out more about our Key Information Documents. Please note that the documents provided contain generic information. If we are successful in finding you More ❯

Data Engineer - Permanent As a data Engineer, you will shape next-gen data architecture, build smart solutions with Web and Data Science teams, and harness Gen AI to move faster and smarter. You will be experienced in AI and enjoy writing code. Responsibilities Build and maintain scalable distributed systems using Scala and Java Design … complex Spark jobs, asynchronous APIs, and parallel processes Use Gen AI tools to enhance development speed and quality Collaborate in Agile teams to improve their data collection pipelines Apply best practices like TDD, SOLID, and their engineering standards Design relational and non-relational databases and data models Support the Data Science team in deploying machine learning models … to production Leverage data structures, algorithms, and design patterns effectively Foster empathy and collaboration within the team and with customers Preferred Experience Degree in Computer Science or equivalent practical experience Commercial experience with Spark, Scala, and Java (Python is a plus) Strong background in distributed systems (Hadoop, Spark, AWS) Skilled in SQL/NoSQL (PostgreSQL, Cassandra) and messaging tech More ❯

Data Engineer - Permanent As a data Engineer, you will shape next-gen data architecture, build smart solutions with Web and Data Science teams, and harness Gen AI to move faster and smarter. You will be experienced in AI and enjoy writing code. Responsibilities Build and maintain scalable distributed systems using Scala and Java Design … complex Spark jobs, asynchronous APIs, and parallel processes Use Gen AI tools to enhance development speed and quality Collaborate in Agile teams to improve their data collection pipelines Apply best practices like TDD, SOLID, and their engineering standards Design relational and non-relational databases and data models Support the Data Science team in deploying machine learning models … to production Leverage data structures, algorithms, and design patterns effectively Foster empathy and collaboration within the team and with customers Preferred Experience Degree in Computer Science or equivalent practical experience Commercial experience with Spark, Scala, and Java (Python is a plus) Strong background in distributed systems (Hadoop, Spark, AWS) Skilled in SQL/NoSQL (PostgreSQL, Cassandra) and messaging tech More ❯

agency still grounded in our founding principle that people are at the centre of all we do. Each day, we apply this belief to harness the transformative power of data and technology to inspire and move people and business forward. With more than 7,000 employees in over 100 offices around the world, we are the flagship Publicis Media … incredibly high demand. If you are passionate about shaping the future of AI and thrive on complex, high-impact challenges, we encourage you to apply. Responsibilities As a Senior Data Engineer for AI/ML, you will be the architect and builder of the data infrastructure that feeds our intelligent systems. Your responsibilities will include: Design and … Build Scalable Data Pipelines: Architect, implement, and optimize robust, high-performance real-time and batch ETL pipelines to ingest, process, and transform massive datasets for LLMs and foundational AI models. Cloud-Native Innovation: Leverage your deep expertise across AWS, Azure, and/or GCP to build cloud-native data solutions, ensuring efficiency, scalability, and cost-effectiveness. Power Generative More ❯

Senior Data Engineer Salary: £85K - £95K Location: London - Flexible working Data Idols are working with a fast-growing, product-led tech company to hire a Senio Data Engineer and help shape the data platform. They are looking for this person to provide technical leadership and lead projects end to end. The Opportunity Whilst acting … opportunity to have real technical ownership over the systems and models that power decision making across the entire organisation. In this role, you'll drive the design of robust data pipelines, evolve our warehouse strategy, and align cross-functional teams around shared, reusable models. You'll be part of a company that takes data seriously, where your work … Experience Strong Python SQL Experience working with GCP dbt If you are looking for a new challenge, then please submit your CV for initial screening and more details. Senior Data Engineer More ❯

high-growth Google Cloud consultancy. At Qodea, you'll be part of a team energised by innovation and passionate about delivering exceptional results. We craft cutting-edge solutions in data and analytics, AI, cloud infrastructure and security, driving digital transformation that empowers our customers to scale, modernise and lead in their industries. We're driven by ideas and powered … by our people. We are looking for a Senior Data Engineer to deliver solutions that surpass our customers expectations, by utilising cutting-edge tools and technologies. We really value in-person collaboration, so we're looking for you to spend at least 60% of your time on-site. This means being at our company offices or at a … client's site. How You'll Shape Our Success The purpose of this role is to design, build, and maintain scalable data pipelines and infrastructure that enable the efficient processing and analysis of large, complex data sets. What You'll Do Develop and maintain automated data processing pipelines using Google Cloud: Design, build, and maintain data More ❯

Data Engineer - SQL and Python Location: Remote Pay: market rate Duration: 5 months initially Job Description: The main function of the Data Engineer is to develop, evaluate, test and maintain architectures and data solutions within our organization. The typical Data Engineer executes plans, policies, and practices that control, protect, deliver, and enhance the … value of the organization’s data assets. Job Responsibilities: Design, construct, install, test and maintain highly scalable data management systems. Ensure systems meet business requirements and industry practices. Design, implement, automate and maintain large scale enterprise data ETL processes. Build high-performance algorithms, prototypes, predictive models and proof of concepts. Technical Skills Required: SQL (5+ years) Python … 5+ years) Data Modelling, visualization - Tableau, micro strategy etc and integration tools : Azure data factory , airflow ect. - (5+ years) Skills: Ability to work as part of a team, as well as work independently or with minimal direction. Excellent written, presentation, and verbal communication skills. Collaborate with data architects, modelers and IT team members on project goals. Strong More ❯

eSC Cleared Data Engineer Bristol or London (Mostly working from home) Up to 745 per day (Umbrella, Inside IR35) Must hold live and transferrable Enhanced SC Security Clearance About the Role We're seeking an experienced Data Engineer to join a high-profile programme, working with cutting-edge cloud and data technologies. You'll be … instrumental in building, optimising, and maintaining scalable data pipelines and platforms that underpin mission-critical systems. If you thrive on solving complex data challenges, working with modern orchestration tools, and applying best practices in security and compliance, this role offers both technical depth and impact. Key Responsibilities Design & Optimise Pipelines - Build and refine ETL/ELT workflows using … Apache Airflow for orchestration. Data Ingestion - Create reliable ingestion processes from APIs and internal systems, leveraging tools such as Kafka, Spark, or AWS-native services. Cloud Data Platforms - Develop and maintain data lakes and warehouses (e.g., AWS S3, Redshift). Data Quality & Governance - Implement automated validation, testing, and monitoring for data integrity. Performance & Troubleshooting - Monitor More ❯

eSC Cleared Data Engineer Bristol or London (Mostly working from home) Up to £745 per day (Umbrella, Inside IR35) Must hold live and transferrable Enhanced SC Security Clearance About the Role We're seeking an experienced Data Engineer to join a high-profile programme, working with cutting-edge cloud and data technologies. You'll be … instrumental in building, optimising, and maintaining scalable data pipelines and platforms that underpin mission-critical systems. If you thrive on solving complex data challenges, working with modern orchestration tools, and applying best practices in security and compliance, this role offers both technical depth and impact. Key Responsibilities Design & Optimise Pipelines - Build and refine ETL/ELT workflows using … Apache Airflow for orchestration. Data Ingestion - Create reliable ingestion processes from APIs and internal systems, leveraging tools such as Kafka, Spark, or AWS-native services. Cloud Data Platforms - Develop and maintain data lakes and warehouses (e.g., AWS S3, Redshift). Data Quality & Governance - Implement automated validation, testing, and monitoring for data integrity. Performance & Troubleshooting - Monitor More ❯

Data Engineer Contract Opportunity Outside IR35 Up to £400/day Amtis is proud to be recruiting for a contract Data Engineer to join a fantastic client based in the West Midlands. You will be responsible for: Designing, developing, and deploying scalable data platforms. Lead the implementation and support the data infrastructure. Analyse complex … datasets to uncover correlations and resolve data integrity issues. Collaborate with stakeholders to gather requirements and deliver tailored data solutions. Provide ongoing support and manage queries from SMEs and stakeholders. Create and maintain technical design documentation. Propose innovative solutions and emerging technologies to support strategic initiatives. Partner with BI and Data team members to deliver impactful, data-driven solutions. Support colleagues across the business in interpreting and leveraging data effectively. Maintain comprehensive documentation for all developed products. What You'll Bring: Proven experience delivering advanced analytics and data warehousing solutions. Expertise in cloud data platforms such as Azure , AWS , or GCP . Strong hands-on experience with Snowflake and Matillion . Deep understanding More ❯

Curve is a next-gen insights, analytics and technology consultancy that leverages digital consumer data and advanced technology to help businesses unlock consumer opportunities. Digital consumer data is powerful; it's big, it's real, and it's always updating. We use a combination of in-house technology and bespoke solutions, powered by AI, to transform data … machine learning and AI are key to how we deliver impact, centred on: Natural Language Processing, GPT & other LLMs : unearthing trends, themes and other patterns from large text-based data sets, and deploying state-of-the-art AI to automate and empower consumer facing businesses and their insights & analytics functions Marketing Data Science & Personalisation : using first party consumer … data to understand each client's consumer base, building personalisation and other machine learning models to better engage with and excite consumers Data Engineering & Data Architecture : data engineering across a variety of tools to integrate these leading technologies into optimised and efficient data models and ecosystems, feeding into best-in-class analytics dashboards, marketing activation More ❯

by delivering ultrafast connectivity to business dense areas across the UK, working with partners to identify the right locations and then maximising subsequent connection rates. Role Description As a Data Engineer at ITS you will be a core member of the wider technical team, responsible for designing, building, and optimising the pipelines that turn raw network, commercial, and … operational data into trustworthy, analytics ready assets. Working closely with Data Analysts, Network Engineering, and Digital teams, you will own our data platform, ensuring data is accurate, timely, and secure to drive reporting, automation, and develop towards AI driven decision making. Key Responsibilities • Design, develop and maintain scalable ELT/ETL pipelines that ingest data from network devices (IPDR, SNMP, OSS/BSS), CRM, finance, and IoT platforms into our BI warehousing environment. • Model data using Kimball/star schemas and data vault principles to support BI and self service analytics. • Implement data quality, lineage, and observability tooling (e.g., dbt tests, Great Expectations, Azure Purview). • Optimise storage and compute costs More ❯

Job Title: Lead Data Engineer Location: London (Hybrid) Type: Full-time Agency: Representing a leading digital media group We're representing a forward-thinking digital media organisation with a growing portfolio of high-traffic content brands. As they continue to scale their data capabilities, they're seeking a Lead Data Engineer to join their London … based team. Key Responsibilities: Design and maintain scalable data pipelines across diverse sources including CMS, analytics, ad tech, and social platforms. Lead engineering efforts to automate workflows using tools like Airflow, dbt, and Spark. Build robust data models to support dashboards, A/B testing, and revenue analytics. Collaborate with cross-functional teams to deliver actionable insights and … support strategic initiatives. Drive cloud-based data infrastructure projects, particularly on GCP. Manage and mentor a Data Engineer, fostering growth and technical excellence. Requirements: Advanced SQL skills and experience with relational/non-relational databases. Proficiency in Python and/or Java for data services and API integration. Proven experience with cloud platforms (GCP preferred) and More ❯

Job Title: Lead Data Engineer Location: London (Hybrid) Type: Full-time Agency: Representing a leading digital media group We're representing a forward-thinking digital media organisation with a growing portfolio of high-traffic content brands. As they continue to scale their data capabilities, they're seeking a Lead Data Engineer to join their London … based team. Key Responsibilities: Design and maintain scalable data pipelines across diverse sources including CMS, analytics, ad tech, and social platforms. Lead engineering efforts to automate workflows using tools like Airflow, dbt, and Spark. Build robust data models to support dashboards, A/B testing, and revenue analytics. Collaborate with cross-functional teams to deliver actionable insights and … support strategic initiatives. Drive cloud-based data infrastructure projects, particularly on GCP. Manage and mentor a Data Engineer, fostering growth and technical excellence. Requirements: Advanced SQL skills and experience with relational/non-relational databases. Proficiency in Python and/or Java for data services and API integration. Proven experience with cloud platforms (GCP preferred) and More ❯

Role Profile: Data Engineer Reporting to : Lead Data Engineer Background A rapidly growing specialist (re)insurance organisation is building out its technology and data infrastructure. This role supports the delivery of secure, scalable cloud data solutions, aligning with business and compliance needs. Key Responsibilities Design, build, and maintain cloud-native data pipelines (Azure …/GCP) Implement scalable data management frameworks: observability, validation, lineage Translate business needs into effective technical prototypes and solutions Collaborate with stakeholders, data teams, and service partners Ensure data security, governance, and regulatory compliance Monitor and optimise cloud resource usage and performance Automate data lifecycle tasks to improve speed, consistency, and reliability Support analytics teams with … clean, modelled data for self-service tools Mentor peers, share documentation, and support technical best practices Integrate infrastructure and data services across cloud platforms Skills and Experience Expertise in cloud platforms: Azure : Data Factory, Synapse, Monitor, ARM GCP : BigQuery, Dataflow, Cloud Composer, Pub/Sub Strong knowledge of data warehousing, storage, and modelling Experience with ETL More ❯

A rapidly growing specialist manufacturing business is looking to recruit a talented Data Engineer to join their newly established product development program, based in Abingdon (OX14) . This is an exceptional opportunity to be at the forefront of aerospace innovation, working with advanced materials and additive manufacturing to revolutionize jet engine performance. Data Engineer key responsibilities … Design and maintain robust data logging frameworks to capture real-time jet engine performance metrics Build scalable data architectures for processing and analyzing complex experimental data Create versatile sandbox environments for rapid prototyping and fast iteration Own the data acquisition platforms that enable breakthrough testing capabilities Collaborate directly with testing engineers to ensure experiments are feasible … from an infrastructure standpoint Develop automated workflows for platform-agnostic post-processing and self-service data access Implement clean code practices with strict version control across code repositories Build dashboards and control systems for real-time test monitoring Enforce data security, privacy, and compliance standards Key requirements for Data Engineer: Minimum First Class Degree (MSc preferred More ❯

Join Barclays as a Digital Customer Data Engineer, where you'll be leading the development for a new shared data platform that is transforming how individuals/organisations interact with the bank. Your role involves using the latest data and AI engineering skills to deliver a digital capability. As part of our team, you'll also … benefit from being part of a vast professional network, collaborating with industry mentors and experts. To be successful you should have experience with: Modern data engineering practices, inc. event-driven and data lake. Digital platform development, inc. experience developing colleague and customer facing applications. Banking software development. Deep technical awareness of cloud and data technology, such as … Kafka, Data Bricks, microservices, API. Some other highly valued skills may include: Technical design: Analysis and documentation of system characteristics, inc. designing solutions to meet multi-faceted non-functional requirements. Communication Skills: Ability to clearly convey project goals to senior leadership, updates, and technical details to stakeholders at all levels, including non-technical audiences at all levels of the More ❯

Join Barclays as a Digital Customer Data Engineer, where you'll be leading the development for a new shared data platform that is transforming how individuals/organisations interact with the bank. Your role involves using the latest data and AI engineering skills to deliver a digital capability. As part of our team, you'll also … benefit from being part of a vast professional network, collaborating with industry mentors and experts. To be successful you should have experience with: Modern data engineering practices, inc. event-driven and data lake. Digital platform development, inc. experience developing colleague and customer facing applications. Banking software development. Deep technical awareness of cloud and data technology, such as … Kafka, Data Bricks, microservices, API. Some other highly valued skills may include: Technical design: Analysis and documentation of system characteristics, inc. designing solutions to meet multi-faceted non-functional requirements. Communication Skills: Ability to clearly convey project goals to senior leadership, updates, and technical details to stakeholders at all levels, including non-technical audiences at all levels of the More ❯

Join our client in embarking on an ambitious data transformation journey using Databricks, guided by best practice data governance and architectural principles. To support this, we are recruiting for talented data engineers. As a major UK energy provider, our client is committed to 100% renewable energy and sustainability, focusing on delivering exceptional customer experiences. It is initially … one day a week being based in their Nottingham office, this is negotiable. It is a full-time role, 37 hours per week. Accountabilities: * Develop and maintain scalable, efficient data pipelines within Databricks, continuously evolving them as requirements and technologies change. * Build and manage an enterprise data model within Databricks. * Integrate new data sources into the platform … using batch and streaming processes, adhering to SLAs. * Create and maintain documentation for data pipelines and associated systems, following security and monitoring protocols. * Ensure data quality and reliability processes are effective, maintaining trust in the data. * Be comfortable with taking ownership of complex data engineering projects and develop appropriate solutions in accordance with business requirements. * Able to More ❯

Europe's biggest credit management service and have begun the next phase in our growth - expansion into 17 European markets over the next two years. The Role - AI Automation & Data Engineer We're seeking a proactive, execution-focusedAI Automation & Data Engineer to join our fast-paced team focused on transforming manual processes into intelligent automation solutions. … You'll work at the intersection of data engineering and AI automation, building robust pipelines and systems that power our company-wide automation initiatives at scale, for a large enterprise operating across 17 markets. This isn't a traditional data engineering role - you'll be building the data foundation for cutting-edge AI automations while using AI … itself to code faster and smarter. You'll have the freedom to identify automation opportunities across the business and build the data infrastructure to support them. In this role, you'll get to: Design and build data pipelines that feed our AI automation systems Create end-to-end automation solutions using Python and Windmill Implement data infrastructure More ❯

Europe's biggest credit management service and have begun the next phase in our growth - expansion into 17 European markets over the next two years. The Role - AI Automation & Data Engineer We're seeking a proactive, execution-focusedAI Automation & Data Engineer to join our fast-paced team focused on transforming manual processes into intelligent automation solutions. … You'll work at the intersection of data engineering and AI automation, building robust pipelines and systems that power our company-wide automation initiatives at scale, for a large enterprise operating across 17 markets. This isn't a traditional data engineering role - you'll be building the data foundation for cutting-edge AI automations while using AI … itself to code faster and smarter. You'll have the freedom to identify automation opportunities across the business and build the data infrastructure to support them. In this role, you'll get to: Design and build data pipelines that feed our AI automation systems Create end-to-end automation solutions using Python and Windmill Implement data infrastructure More ❯

Senior AWS Data Engineer - Greenfield Market Data Platform | London | Vice President Level Location: London - Canary Wharf (Hybrid: 2-3 days/week in office) Salary: Up to around £120,000 + Bonus + Benefits Employment Type: Permanent Industry: Financial Services We're working with a prestigious financial services client on a greenfield data engineering opportunity that … s set to transform how market data is accessed and used across the business. This is a rare chance to join a high-impact initiative at its inception, designing and building a cutting-edge Market Data Store (MDS) platform using the latest cloud technologies. This individual contributor role is ideal for a hands-on Senior Data Engineer who thrives in technically complex environments and enjoys solving large-scale data pipeline challenges. You'll work with tools like AWS Glue, PySpark, Iceberg, Databricks, and Snowflake , collaborating with data scientists and stakeholders across multiple business units. Key Responsibilities: Design, build, and maintain scalable data pipelines and architectures. Implement secure and efficient data lakes and More ❯