Design and implement end-to-end data solutions on Microsoft Fabric — ingestion, transformation, storage, modelling, and reporting.
Build and orchestrate data pipelines using Fabric Data Factory / Data Pipelines and notebooks, moving data reliably from source systems into OneLake.
Develop lakehouse and warehouse layers following a medallion (bronze/silver/gold) or comparable layered architecture, with attention to partitioning, performance, and cost.
Model data for analytics and build performant Power BI semantic models, reusable DAX measures, and reports that serve as a trusted single source of truth.
Implement engineering discipline around your work: version control, CI/CD, automated testing, and monitoring so solutions are maintainable and observable in production.
Apply data governance, security, and privacy controls (access, classification, lineage) in line with client policy and GDPR.
Act as a trusted advisor to clients — gather and challenge requirements, run workshops, present solutions clearly to both technical and business stakeholders, and help customers make well-reasoned technology choices.
Contribute to our internal practice: best-practice patterns, reusable accelerators (Terraform for example), DevOps and governance models, and mentoring of colleagues.

Several years of hands-on experience in data engineering, BI, or analytics delivery, ideally in a consulting or client-project setting.
Practical, demonstrable experience with Microsoft Fabric and its core workloads: OneLake, Lakehouse, Warehouse, Data Factory / Data Pipelines, and Synapse Data Engineering.
Architectural understanding of Microsoft Fabric implementation and design.
Strong Power BI skills: semantic (tabular) modelling, advanced DAX, Power Query (M), and report/dashboard design, including workspace and deployment management.
Solid Python/PySpark & SQL experience.
Sound understanding of data modelling (dimensional/star schema, medallion, and ideally Data Vault) and modern ELT/ETL approaches.
Familiarity with source-control-based development and CI/CD for data workloads (Azure DevOps or GitHub, Fabric deployment pipelines / Git integration).
An understanding of data governance, security, and privacy as first-class concerns, not afterthoughts.
The ability to work independently, take ownership of a deliverable, and drive it to a measurable, production-ready result.
Fluent Finnish and working proficiency in English are a must.

Microsoft Fabric Consultant / Developer

Key skills