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Position: Senior Data Engineer
Hybrid - Birmingham
6 months - Outside IR35
Overview:
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.
Key Responsibilities:
- 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.
Essential Skills & Experience:
- 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.
Desirable Skills & Experience:
- 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.
