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Design and build scalable data pipelines on Azure, Databricks, and Microsoft Fabric. Work across client engagements in financial services, AI, and enterprise data platforms.

Build and maintain data pipelines, ELT workflows, and medallion architectures. Strong SQL and Python fundamentals required. Azure or Databricks experience preferred.

Implement Microsoft Fabric workspaces, Lakehouses, and semantic models for enterprise clients. Experience with OneLake, Fabric pipelines, and Power BI integration essential.

Transform raw data into clean, documented, and trusted analytical models. Own the semantic layer between raw ingestion and business reporting. dbt-first mindset.

Translate data into insight. Build dashboards, run ad-hoc analysis, and support client reporting needs across financial services and technology projects.

Build and deploy machine learning models for financial signal detection, NLP on earnings data, and price modelling. MLflow, Azure ML, or Databricks ML experience preferred.

Own CI/CD for data pipelines, infrastructure-as-code for Azure data environments, and observability tooling. Terraform, GitHub Actions, and Azure DevOps experience valued.

Not seeing your exact role? Submit your CV to our open talent pool. We place data engineers, analysts, architects, and ML engineers into client projects across Europe and beyond. We'll reach out when a matching engagement opens.