You'll be working on a data platform built on the Microsoft stack, covering ETL pipelines, analytical data modelling, OLAP development, and business-facing reporting.
The environment spans both on-premises infrastructure and cloud components, with a strong emphasis on data quality, governance, and performance.
You'll collaborate closely with business teams to translate requirements into technical solutions, and be expected to support and guide junior team members.

Solid experience with SQL Server — advanced T-SQL, query optimisation, and performance tuning in production environments
Hands-on experience building and maintaining SSIS pipelines (ETL) at scale
Experience developing SSAS models — multidimensional cubes and/or tabular models
Strong proficiency in Power BI — data modelling, DAX, and dashboard/report development for business stakeholders
Experience with dimensional modelling following Kimball methodology and Data Warehouse best practices
Ability to design and maintain Data Warehouse and Data Mart architectures
Experience with SSRS for structured reporting delivery
Ability to ensure data quality, consistency, and governance across the data platform
Strong collaboration skills — able to work with both technical and business teams to translate requirements into reliable data solutions
Comfortable mentoring junior profiles and contributing to team knowledge sharing
Autonomous, analytical, and solution-oriented approach to problem solving
English B2 or above for stakeholder communication and documentation

Data Engineer, BI Developer – SQL Server, SSIS, Power BI

Key skills