> Markdown version of [/jobs/ext/3564767-data-engineer](https://www.wearedevelopers.com/jobs/ext/3564767-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:** 4it Recruitment Ltd. - **Location:** Leeds, UK (Remote available) - **Salary:** £70,000.0 - **Contract:** Permanent contract - **Skills:** Microsoft Azure, Data as a Services, Data Architecture, Information Engineering, Data Governance, Data Integration, Extract Transform Load (ETL), Data Systems, Python (Programming Language), Salesforce.Com, SAP (Applications), SQL Databases, Sql Optimization, Data Strategy, Git, Microsoft Fabric, Pyspark, Data Management, Software Version Control, Data Pipelines - **Published:** October 3, 2026 - **Apply:** https://www.careerjet.co.uk/job/gb0eadd5b2295269b5925c9dd7ca3bb961/eaa ## About the Role * Proven Data Engineer experience * Strong expertise in Data Modelling * Data Pipeline development experience * Microsoft Azure data services * Microsoft Fabric * Advanced SQL skills * Python and PySpark * Lakehouse architectures * MDM knowledge * Salesforce and SAP integration * Git/source code management * Strong analytical skills Desirable Experience * Legal sector experience * Data governance exposure * Modern data architecture best practices ## Description We're looking for an experienced Data Engineer to join a growing data team responsible for designing, developing and optimising enterprise-scale data solutions. This is an excellent opportunity for someone who enjoys working across modern cloud-based data platforms and wants to play a key role in shaping a company's data strategy. You'll be responsible for delivering robust data pipelines, improving data quality, supporting business-critical reporting and analytics, and helping drive the adoption of best-in-class data engineering practices. What You'll Be Doing * Designing and implementing scalable data pipelines and ETL/ELT processes * Developing and maintaining enterprise data models * Building and optimising solutions within Microsoft Azure and Microsoft Fabric * Working with Lakehouse architectures * Developing data solutions using SQL, Python and PySpark * Supporting Master Data Management (MDM) * Integrating data from Salesforce and SAP * Managing source code and version control processes * Collaborating with stakeholders * Improving data quality, performance and scalability