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# Data Engineer

- **Company:** Boughton Malherbe
- **Location:** Boughton Malherbe, UK
- **Contract:** Permanent contract
- **Skills:** SAP Cloud, Databases, Data Validation, Information Engineering, Data Governance, Extract Transform Load (ETL), Data Systems, Database Queries, Python (Programming Language), Cloud Services, SAP (Applications), SAP NetWeaver Business Warehouse, Technical Data Management Systems, Data Strategy, Data Lineage, Data Analytics, SAP S/4HANA, Data Pipelines
- **Published:** September 2, 2026
- **Apply:** https://www.apply4u.co.uk/jobs/data-engineer/45975467

## About the Role

for onboarding new data sources About You We're looking for someone with proven Data Engineering experience who is comfortable working with data from multiple systems and turning it into structured, reliable and reusable datasets. You'll have strong SQL skills, along with experience in data modelling, ETL/ELT processes, relational or analytical databases, data quality and validation, and building and maintaining data pipelines. Experience integrating multiple source systems will be important, while exposure to SAP / SAP BDC, BW/4HANA, SAP Analytics Cloud, Python, cloud data platforms or data governance would be advantageous. Experience working within a multinational organisation would also be beneficial. What's on Offer? This role offers a £60,000-£70,000 salary depending on experience, based in East Kent with generous hybrid working. You'll join an established and growing Data Analytics function, with the opportunity to make a genuine impact on the organisation's data capability. It's
a role that combines hands-on technical data engineering with stakeholder engagement and continuous improvement, making it a great opportunity for someone who enjoys solving data problems, building robust data foundations and making data genuinely useful to the wider business #3195

## Description

requirements, integrate data from different systems and turn it into clean, reliable and reusable datasets. You'll also have the opportunity to improve existing processes, automate manual tasks and contribute to the organisation's wider data strategy. Key responsibilities Design and maintain data structures to support analytics and reporting Develop reusable datasets and data models Build and maintain automated data pipelines and ETL/ELT processes Integrate data from multiple source systems Monitor pipelines and investigate data quality issues Implement data validation and reconciliation processes Work with system owners to resolve data issues at source Maintain clear documentation around datasets, transformations and data lineage Work with analysts and business stakeholders to translate requirements into effective data solutions Improve the reliability, efficiency and timeliness of data processes Identify opportunities to automate and reduce duplication Help establish repeatable processes