> Markdown version of [/jobs/ext/3564686-data-engineer-sap](https://www.wearedevelopers.com/jobs/ext/3564686-data-engineer-sap). 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 (SAP) - **Company:** Partnur - **Location:** London, UK - **Contract:** Temporary contract - **Skills:** Adaptable Database Systems, Big Data, Cloud Computing, Databases, Data Validation, Extract Transform Load (ETL), Data Structures, Data Systems, Python (Programming Language), Cloud Services, SAP (Applications), SAP Business Suiteing, SAP NetWeaver Business Warehouse, Sql Optimization, SAP S/4HANA, SAP Analytics Cloud, Data Pipelines - **Published:** October 3, 2026 - **Apply:** https://find.jobs/jobs-near-me/apply/ats-redirect/?id=2999259087-2 ## About the Role * Advanced SQL and data-modelling skills * Experience with ETL/ELT and analytical databases * Good understanding of data quality and governance * Strong communication and stakeholder-management skills Experience with SAP, SAP Business Data Cloud, BW/4HANA, SAP Analytics Cloud, Python or cloud data platforms would be advantageous. ## Description We are recruiting for an experienced Data Engineer to support a large-scale data and analytics programme. You will develop the data structures, pipelines and processes required to deliver reliable and reusable datasets for reporting and analysis. This is an initial 12-month fixed-term contract with a strong likelihood of extension. What you will be doing: * Design and maintain scalable data models and reusable datasets * Build automated ETL/ELT pipelines across multiple source systems * Integrate new data sources into the existing data landscape * Monitor pipelines and resolve data-quality issues * Implement data validation and reconciliation processes * Translate reporting requirements into practical data solutions * Maintain documentation covering data structures, transformations and lineage * Improve automation, reliability and efficiency across data processes