> Markdown version of [/jobs/ext/3792307-data-engineer](https://www.wearedevelopers.com/jobs/ext/3792307-data-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer - **Company:** Department for Work and Pensions (DWP) - **Location:** Manchester, UK (Remote available) - **Experience:** Expert - **Salary:** £57,946.0 - £75,664.0 - **Contract:** Permanent contract - **Skills:** Data Analysis, Microsoft Azure, Big Data, Data as a Services, Information Engineering, Data Governance, Data Infrastructure, Extract Transform Load (ETL), Data Transformation, Data Mining, Data Systems, Distributed Computing Environment, Apache Hive, Python (Programming Language), Pyspark, Data Analytics, Data Management, Data Pipelines - **Published:** October 17, 2026 - **Apply:** https://www.jobs.service.gov.uk/jobs/6ad2224f9ff50b2fdd7f1cf0/apply ## About the Role Are you an experienced Senior Data Engineer with strong skills in Azure and data pipelines and experience leading technical teams?, * Proven experience designing and delivering complex ETL/ELT pipelines, managing priorities and driving quality outcomes. * Ability to communicate complex technical concepts clearly to technical and non-technical audiences, including senior stakeholders. * Strong understanding of cloud and distributed data processing, designing scalable, resilient and maintainable data solutions. * Proven ability to analyse complex requirements, produce clear specifications and define effective testing approaches. * Experience leading the resolution of complex data, platform and pipeline issues across strategic, tactical and operational levels. * Strong knowledge of migrating and transforming data from legacy and on-premise systems to cloud platforms. * Expertise in automating ETL/ELT pipelines using PySpark and Spark SQL across Azure-based data environments. ## Description You'll lead the design and delivery of modern cloud-based data solutions, ensuring high-quality, trusted data is available to drive better decision-making across the organisation while supporting engineering standards and developing others within the team. We have opportunities across three areas of DWP Digital: Skills England - delivering data-driven insights and digital services to support skills development, workforce planning and technical education (London, Coventry, Darlington, Sheffield and Leeds). Data & Analytics - within the Architecture and Engineering Technical Oversight Team, providing technical assurance and governance across data platforms, products and services (Blackpool, Manchester, Leeds and Newcastle). Technology Services - delivering the secure cloud, connectivity, network and security foundations that underpin DWP's digital services (Manchester, Blackpool, Newcastle, Leeds and Birmingham)., As a Data Engineer, you will design build and enhance scalable ETL/ELT pipelines using Python and PySpark, ensuring data solutions are reliable, efficient and aligned with engineering best practice. You'll work closely with stakeholders to understand complex business requirements, transforming data into trusted, high-quality datasets that enable valuable insights, reporting and decision-making. You will manage and optimise data across multiple platforms, ensuring it is secure, accessible and fit for purpose, while supporting effective database management and data extraction solutions. Leading teams through large-scale data and platform transformation, you'll help shape technical direction, embed engineering best practice and develop capability across the wider team. Using your cloud data engineering expertise, you'll develop complex data pipelines, drive automation, improve platform performance and champion Agile delivery, data governance and operational excellence to deliver resilient, high-quality data services.