Data Engineer

We are partnering with an established, customer-focused business based in Birmingham that continues to invest significantly in its data and technology capabilities. They are seeking to appoint a Senior Data Engineer to play a pivotal role in developing their Azure data estate and to drive the next phase of their platform modernisation journey. This is an excellent opportunity for a hands-on engineer who thrives on ownership, influencing technical direction, and collaborating closely with the wider business to deliver impactful data solutions. The role offers a genuine blend of technical delivery, platform enhancement, and leadership exposure What's the job? You will be responsible for leading the design, development and optimisation of scalable data solutions within a modern Microsoft Azure environment. A key focus of the role will be enhancing data integration, modelling, and accessibility to support reporting and operational decision-making, while facilitating the ongoing migration from legacy systems to Azure. You will collaborate closely with internal Business Intelligence and technology teams, helping to establish best practises across data engineering and platform performance., + Lead the design and optimisation of data pipelines and ETL/ELT workflows

• Develop scalable solutions across Azure Synapse, Data Factory, and Data Lake
• Support the ongoing evolution of the wider Azure data platform
• Enhance data models and reporting layers that underpin downstream BI solutions
• Collaborate with stakeholders across operations, finance, and technology teams
• Define and promote best practises around data quality, security, and governance
• Support cloud migration and platform modernisation initiatives
• Drive continuous improvement in performance, automation, and reliability
• Provide technical leadership and guidance across engineering projects

We welcome applications from strong engineers with solid experience across the Microsoft data stack, particularly:

• Azure Synapse
• Azure Data Factory
• Azure Data Lake
• SQL
• ETL/ELT pipeline development
• Power BI data modelling and reporting integration
• Experience with SSIS, SSRS, or legacy SQL environments (desirable) Most importantly, we seek someone who combines strong technical expertise with a commercial mindset and a collaborative approach.