Our client is looking for an experienced Data Engineer to join their Business Intelligence team. This is a key technical role responsible for building and maintaining the data infrastructure that underpins reporting, analytics, and strategic decision-making across the organisation.
The Role
You will lead the design, development, and operation of data engineering capability, building scalable ETL/ELT pipelines, improving data quality, and developing well-structured data models that support Power BI, reporting, and analytical workloads. Working closely with stakeholders, you will translate business requirements into robust technical solutions and help drive improvements in data maturity in line with our client's data strategy.
Key Responsibilities
* Design, build, and maintain ETL/ELT pipelines to ingest and transform data from multiple source systems into the data warehouse
* Implement and maintain dimensional data models and semantic layers to support BI and reporting
* Develop and optimise T-SQL queries, views, and stored procedures
* Apply DataOps practices including version control, automated testing, and CI/CD
* Implement data quality checks, validation, and automated cleansing within pipelines
* Maintain technical documentation covering architecture, pipelines, and metadata
* Support data governance standards, access controls, and role-based permissions
* Communicate technical concepts clearly to both technical and non-technical stakeholders
Skills and Experience Required
* Proven experience in a data engineering role delivering ETL/ELT solutions at scale
* Strong T-SQL skills including query optimisation, stored procedures, and views
* Experience designing data warehouse models (e.g. star schemas, dimensional modelling)
* Working knowledge of CI/CD, source control, and software development best practices
* Experience with Power BI or equivalent BI tooling
* Familiarity with data governance and data quality frameworks
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