Senior BI/Data Engineer
Senior BI/Data Engineer in Amsterdam who owns and scales ACT's enterprise Data Platform: designing source integrations, data pipelines and relational/dimensional models, and building semantic models for Power BI. Core stack is Microsoft Fabric, Azure (Data Factory, Functions, Logic Apps), Databricks, SQL and Python.
- Compensation
- Not disclosed
- Location
- Amsterdam
- Work setup
- Not specified
- Seniority
- Senior
- Employment
- Not specified
- Experience
- 5+ years
- Category
- Data engineering
- Posted
Skills
Must have
- Degree in Computer Science, IT, Business IT, Data Engineering or comparable field, or equivalent professional experience
- 5+ years of relevant data engineering experience, including substantial hands-on Microsoft Azure or another major cloud platform
- Hands-on experience with modern data platforms such as Microsoft Fabric, Azure Synapse Analytics, Databricks or Snowflake
- Strong SQL skills
- Practical experience with Python for data engineering, automation or testing
- Strong understanding of modern data architectures: data warehouses, data lakes and Lakehouse patterns
- Strong data-modelling skills, particularly relational and dimensional modelling
- Ability to design, troubleshoot and optimize data transformations, SQL workloads and data pipelines
- Experience with Git, automated testing and CI/CD practices for data and analytics solutions
- Collaborative and proactive mindset, strong communication skills, ownership and knowledge sharing
Nice to have
- Experience with Power BI, semantic models or comparable analytics/visualization technologies
- Experience with Azure services such as Azure Data Factory, Azure Functions, Logic Apps, Synapse Analytics or Azure Automation
- Knowledge of streaming, event-driven architectures or real-time analytics
Full description
Your Role in Our Story:
As a Senior BI/Data Engineer at ACT, you will play a key role in modernizing and scaling our enterprise Data Platform. Combining hands-on engineering with technical ownership, you will design reliable, scalable data solutions across data integration, modelling, analytics engineering and platform architecture.
Beyond delivery, you will help shape our platform roadmap and engineering standards, with a focus on architecture, automation, performance, security and cost efficiency. Microsoft Fabric is an important part of our modernization journey, alongside technologies such as Databricks where they add value. You will also have the opportunity to explore practical applications of Generative AI across development, documentation and platform operations.
We value ownership, collaboration, knowledge sharing and continuous improvement. In essence, your role involves:
- 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.
Your Expertise:
To be successful in this role, we are looking for candidates with the following qualifications and attributes:
- A degree in Computer Science, Information Technology, Business Information Technology, Data Engineering or a comparable field, or equivalent professional experience.
- 5+ years of relevant experience in data engineering, including substantial hands-on experience with Microsoft Azure or another major cloud platform.
- Hands-on experience with modern data platforms such as Microsoft Fabric, Azure Synapse Analytics, Databricks or Snowflake.