Senior Data Engineer

SF Recruitment
Birmingham, West Midlands (County)
8 months ago
Applications closed

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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

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Where to Advertise Data Engineering Jobs in the UK (2026 Guide)

Where to advertise data engineering jobs UK in 2026: the specialist boards and channels that reach Spark, dbt, Snowflake and platform engineering talent. Data engineers occupy a distinct discipline that sits between software engineering, data science and cloud infrastructure — and the strongest candidates identify firmly with the data engineering community rather than with adjacent roles. General job boards consistently conflate data engineering with data analysis, data science and BI development, producing high application volumes but low candidate quality for specialist pipeline and platform roles. This guide, published by DataEngineeringJobs.co.uk, covers where to advertise data engineering roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.