> Markdown version of [/jobs/ext/3858718-data-engineer](https://www.wearedevelopers.com/jobs/ext/3858718-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:** Reed - **Location:** Bedford, UK - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Microsoft Azure, Data Architecture, Information Engineering, Data Governance, Extract Transform Load (ETL), Data Systems, Power BI, Software Tools, Cloud Services, Data Streaming, Azure Data Factory, Data Lakes, Data Pipelines - **Published:** October 22, 2026 - **Apply:** https://www.jobs.service.gov.uk/jobs/6ad7afe8b0af0cb429b8ad56/apply ## About the Role * Experience in data engineering, including ETL design and implementation. * Proficiency in SQL for data manipulation and querying. * Hands-on experience with Azure data services (Synapse, Data Lake, Data Factory). * Strong problem-solving skills and attention to detail. * Good communication and collaboration skills. Desirable Skills * Familiarity with data governance and quality frameworks. * Experience in financial services or similar regulated environments. * Knowledge of additional data engineering tools and technologies. ## Description The Data Engineer reports to the, Data Pipelines and ETL * Design and maintain ETL processes to extract, transform and load data from multiple sources. * Optimise data pipelines using orchestration tools for smooth data flow. * Implement monitoring and recovery to maintain data integrity. Cloud Services * Build and manage data solutions on Azure (Data Lake, Synapse, Data Factory). * Ensure systems are scalable, reliable and high-performing. Collaboration * Partner with data consumers to deliver solutions that meet business needs. * Share knowledge and promote best practices within the team. Data Governance and Quality * Apply governance standards and maintain data quality and security. * Document processes and enforce best practices. Data Landscape * Understand modern data architecture principles (e.g., Data Lakes, medallion architecture). * Support reporting and analytics, including integration with Power BI.