About this role
Salary: £? - ? per year
Requirements: Proven experience in a data engineering or technical business intelligence roleStrong SQL and/or Python skills for handling and automating dataExperience building data pipelines and working with APIsStrong attention to data accuracy and practical problem-solving skillsAbility to explain technical work to non-technical colleaguesStrong communication skills and experience working across different teamsMicrosoft Fabric experience would be an advantageExperience working with Salesforce data would be beneficialFamiliarity with public sector, economic development, or strategic reporting frameworks would be usefulKnowledge of ethical AI or preparing data for machine learning would be relevant Responsibilities: Design and maintain automated ETL and ELT processes to integrate data from core systems and APIsSupport the technical setup and day-to-day maintenance of a central data lakeCarry out validation checks to keep data accurate and synchronised across systemsBuild and maintain data architecture to support strategic reporting and insight workAutomate manual data validation processes and reduce reliance on external spreadsheetsSupport data governance, quality monitoring, and consistent reporting definitionsWork with technical and business teams to improve data quality and reporting consistencyHelp colleagues access and understand trusted data Technologies: AIBusiness IntelligenceETLFabricSupportMachine LearningPythonSQLSalesforce More:
We are a well-established London-based organisation looking for a Data Engineer to support the technical delivery of our data strategy on a 6 month fixed-term contract. This role sits within our Technology and Data team and offers the opportunity to help shape how we use data to improve insight, reporting, and decision making. We are at an early stage of our data transformation, so there is scope to contribute to foundational structures rather than simply maintaining mature systems. The role provides exposure to data warehousing, self-service reporting, data governance, and the technical preparation needed for ethical AI and machine learning activity. We offer a strong benefits package, and the hybrid working pattern provides a sensible balance between office collaboration and focused work from home. The role is based in Central London, with 1-2 days per week in the office, working 35 hours per week on a pro rata salary of £50,000.
last updated 31 week of 2026