> Markdown version of [/jobs/ext/4495658-data-engineer](https://www.wearedevelopers.com/jobs/ext/4495658-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:** Morson Group - **Location:** Bristol, UK - **Experience:** Expert - **Salary:** £60,000.0 - £80,000.0 - **Contract:** Permanent contract - **Skills:** Amazon Web Services, Microsoft Azure, Cloud Computing, Data Architecture, Information Engineering, Data Infrastructure, Extract Transform Load (ETL), Python (Programming Language), Standard Sql, Cloud Platform System, Snowflake, Apache Spark, Pyspark, Data Management, Data Pipelines, Databricks - **Published:** November 2, 2026 - **Apply:** https://www.morson.com/jobs/42066/apply ## About the Role * Strong commercial experience as a Data Engineer * Strong Python and SQL skills * Experience building data pipelines and data platforms * Experience working with cloud technologies * Good understanding of data architecture and engineering principles * Ability to solve complex technical problems * Strong communication and stakeholder management skills * Comfortable working in a consultancy/client-facing environment * Someone who enjoys learning and working with different technologies ## Description As a Data Engineer, you'll work closely with clients and internal teams to design, build and improve modern data platforms and pipelines. You'll be involved across the full Data Engineering lifecycle, from understanding requirements and designing solutions through to development, testing and optimisation. You'll have the opportunity to work with technologies including: * Python * PySpark / Spark * SQL * AWS / Azure * Databricks * Snowflake * dbt * Cloud-based data platforms * ETL / ELT pipelines * Data modelling They're technology agnostic, so, they're open to people working with different cloud backgrounds, especially Azure and AWS, provided you have strong Data Engineering fundamentals and are comfortable learning new technologies.