Data Engineer
Salary: £80,000 – £85,000 per annum
Contract: Permanent
Location: Hybrid – London (1 day per week)
Overview
We are currently looking for a Data Engineer to join our client’s forward-thinking, collaborative, and technology-driven team. You will play a key role in shaping and delivering modern, cloud-native data solutions while working closely with a highly skilled Data & BI function.
Reporting into the Manager of Global Enterprise Data & BI, this is a hands-on role focused on designing scalable architectures, modernising legacy pipelines, and mentoring data engineers across the business.
The Opportunity
As a Senior / Lead Data Engineer, you will architect and implement enterprise-grade solutions across Azure Synapse Analytics and Microsoft Fabric, helping to define the future of a global data ecosystem. This role suits someone who thrives in a cloud-first environment and enjoys driving large-scale modernisation initiatives.
Responsibilities
- Lead and mentor internal and external data engineering teams
- Design, build, and optimise data platforms using Azure Synapse, Microsoft Fabric, OneLake, and Lakehouse architectures
- Modernise ETL/ELT processes and migrate workloads to cloud-native tooling
- Develop scalable data pipelines, Spark processing, and dataflows
- Implement governance, security, and compliance standards
- Collaborate with stakeholders to support analytics and Power BI initiatives
- Produce technical documentation and design artefacts
What’s in It for You?
- Competitive salary
- Strong benefits package
- Hybrid working model
- Ownership of a modern cloud data ecosystem
- Continuous training in Microsoft Fabric, Azure, and modern data engineering
- Clear career progression
- Supportive and people-focused culture
Skills & Experience
- Proven experience leading cloud-based data engineering initiatives
- Strong expertise in Azure Synapse Analytics
- Hands-on experience with Microsoft Fabric (OneLake, Lakehouse, Data Engineering workloads)
- Advanced SQL skills (T-SQL, Synapse SQL, Lakehouse SQL)
- Experience with Python and/or Spark
- Knowledge of ADLS Gen2, Delta Lake, and Parquet
- Understanding of data governance, security, and compliance
Apply Now
