Senior Data Engineer

Position: Senior Data Engineer

Hybrid - Birmingham

6 months - Outside IR35

Join a leading UK company as a Senior Data Engineer and play a key role in a major data transformation project. You will have the opportunity to design and deliver a new Azure-based data platform, modernising the organisation's data management and reporting processes. This hands‑on role offers architectural influence and is ideal for an experienced engineer with a strong background in setting up new environments, creating data pipelines, and enabling self‑service analytics through Power BI.

• Design, build, and maintain Azure data pipelines using Azure Data Factory, Synapse, or Fabric.
• Implement a data lakehouse architecture (Bronze/Silver/Gold) and establish best‑practise ETL/ELT frameworks.
• Ingest and integrate data from multiple core systems, including ERP, finance, supply chain, and CRM platforms.
• Develop and optimise SQL data models and support the creation of Power BI‑ready datasets.
• Apply and document data governance, quality, and validation rules within the platform.
• Collaborate with Finance and IT stakeholders to translate reporting needs into technical solutions.
• Monitor, troubleshoot, and optimise data pipelines for performance and cost efficiency.
• Define reusable components, standards, and documentation to support long‑term scalability.

• Proven experience building Azure data platforms end‑to‑end (Data Factory, Synapse, Fabric, or Databricks).
• Strong SQL development and data modelling capability.
• Experience integrating ERP or legacy systems into cloud data platforms.
• Proficiency in Python or PySpark for transformation and automation.
• Understanding of data governance, access control, and security within Azure.
• Hands‑on experience preparing data for Power BI or other analytics tools.
• Excellent communication skills - able to bridge technical and non‑technical stakeholders.
• Strong documentation habits and attention to detail.

• Experience with AS400, Tagetik, or similar finance systems.
• Familiarity with Power BI Premium, RLS, and workspace governance.
• Knowledge of Azure DevOps and CI/CD for data pipelines.
• Exposure to data quality tools or frameworks.