> Markdown version of [/jobs/ext/3862654-senior-data-engineer](https://www.wearedevelopers.com/jobs/ext/3862654-senior-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). --- # Senior Data Engineer - **Company:** Hireful - **Location:** Gloucester, UK (Remote available) - **Experience:** Expert - **Salary:** £80,000.0 - £90,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Continuous Integration, Data Architecture, Information Engineering, Data Infrastructure, Extract Transform Load (ETL), Apache Hive, Python (Programming Language), Sql Optimization, Data Lakes, Pyspark, Software Version Control, Data Pipelines, Databricks - **Published:** October 22, 2026 - **Apply:** https://find.jobs/jobs-near-me/apply/ats-redirect/?id=3029999565-2 ## About the Role * Senior level experience in data engineering, with strong hands-on Databricks skills (PySpark, Spark SQL, Delta Lake, etc) * Advanced SQL and Python coding skills. * A track record of building and optimising enterprise-scale data pipelines and ETL/ELT solutions. * Solid grounding in data architecture, modelling and modern data platform design. * Cloud experience, preferably AWS (but Azure is totally fine), and familiarity with CI/CD and source control best practice. * Desirable: More Data Science leaning background or want to explore in this role: ML / AI & data / predictive modelling strategies. ## Description * Design, build and maintain scalable data pipelines and data products using Databricks, PySpark, Spark SQL and Delta Lake. * Develop and optimise ETL/ELT processes to ingest, transform and curate data from internal and external systems. * Shape enterprise data architecture, balancing scalability, performance, security and maintainability. * Partner with stakeholders across Finance, Product, Sales, Marketing and Engineering to turn business challenges into technical solutions. * Embed data quality, governance and access controls throughout the data lifecycle. * Mentor a junior engineer and help mature a growing data function.