Data Engineer

Senior Data Engineer

(Hybrid - 2 days per week onsite in london)

Start Date: 5th January 2026

End Date: 23rd April 2026

Security Clearance: SC (required)

We are looking for a Senior Data Engineer to join a multi-disciplinary team delivering a wide range of data solutions. You will play a key role in developing scalable, high-quality data products, enabling data-driven decision-making, and supporting business outcomes through innovative and governed data solutions.

Key Responsibilities

• Develop and implement data flows connecting operational systems, analytics platforms, and BI systems.
• Build scalable, reusable, and high-performance ETL/ELT pipelines using Azure Data Factory.
• Design and maintain data models, warehouses, and reporting solutions.
• Deliver descriptive, diagnostic, and predictive analytics to provide actionable insights.
• Produce and maintain Power BI dashboards and other Business Intelligence reports.
• Lead database management, ensuring security, scalability, and reliability.
• Document source-to-target mappings and define robust data architectures.
• Optimise existing data processes, recognising opportunities for reusability.
• Stay up to date with emerging data trends and technologies to drive innovation.

Technical Skills & Experience

• Strong expertise in SQL Server, Data Warehousing, Data Modelling, and Microsoft Fabric, Azure SQL, Synapse Analytics, and Power BI.
• ETL/ELT development using Azure Data Factory; experience with data lakes, cloud data warehousing, and basic DBA skills.
• Experience with ServiceNow, GitHub, CI/CD, or Microsoft certifications is advantageous.
• Communicate effectively with technical and non-technical stakeholders; facilitate discussions across multidisciplinary teams.
• Conduct data profiling and analysis to deliver clear, actionable insights.
• Design, build, and test large-scale data products; lead integration services and ensure high data quality.
• Select and implement technologies for resilient, scalable, future-proof data solutions.
• Produce and maintain data models and metadata repositories using recognised standards.
• Diagnose and resolve data issues; implement preventative measures to improve reliability.
• Apply best practices to design, code, test, and document scripts and programs.
• Define test conditions, analyse results, and optimise data solutions for performance and quality

If you hold current Security Clearance and meet the requirements, apply today or email Lydia Wills .