
Senior BI/Data Engineer
ACT Group
Senior BI/Data Engineer
ACT is seeking a Senior BI/Data Engineer in Amsterdam to modernize and scale its enterprise Data Platform. The role combines hands-on engineering with technical ownership across data integration, modelling, analytics engineering and platform architecture, with a focus on Microsoft Fabric, Azure and Databricks. Candidates need 5+ years of data engineering experience, strong SQL and Python skills, and solid data-modelling expertise.
Senior BI/Data Engineer
ACT is seeking a Senior BI/Data Engineer in Amsterdam to modernize and scale its enterprise Data Platform. The role combines hands-on engineering with technical ownership across data integration, modelling, analytics engineering and platform architecture, with a focus on Microsoft Fabric, Azure and Databricks. Candidates need 5+ years of data engineering experience, strong SQL and Python skills, and solid data-modelling expertise.
Salary
Core Qualifications
Technical (Must-have)
Soft Skills
Preferred Qualifications
Technical (Nice-to-have)
Key Responsibilities
- Own and continuously improve key components of ACT's Data Platform architecture and engineering standards.
- Design and implement integrations for new source systems and build reliable, maintainable data pipelines.
- Design, implement and document enterprise data models, including relational and dimensional models.
- Develop, optimize and operate data pipelines and orchestration using technologies such as Azure Data Factory, Microsoft Fabric, Azure Functions and Logic Apps.
- Plan and execute data migrations with appropriate validation, reconciliation, data-quality controls and operational monitoring.
- Contribute to the modernization of the Data Platform using Microsoft Fabric and, where appropriate, Databricks and other modern data technologies.
- Develop and maintain trusted semantic models that enable scalable Power BI reporting, analytics and emerging AI use cases.
- Translate business requirements into sustainable technical solutions and communicate design choices clearly to technical and non-technical stakeholders.
- Demonstrate data and analytics solutions to business stakeholders and support adoption through clear documentation and knowledge sharing.