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Senior Data Engineer

Summary

Design and build scalable Microsoft-based data pipelines and Power BI reports to enable data-driven decisions in a biotech company.

As our Senior Data Engineer / BI Specialist you will design, build, and maintain scalable data solutions using the Microsoft data platform. Your role will enable data-driven decision-making through modern data engineering, Microsoft Fabric, and Power BI, while supporting BI, analytics, automation, and long-term data strategy initiatives.

Key Responsibilities

1. Data Engineering & Architecture

  • Design, develop, and optimise scalable data pipelines using Microsoft technologies (Azure Data Factory, Fabric Dataflows, Synapse / Fabric).
  • Build and maintain lakehouse/warehouse data models, including facts and dimensions that support Power BI reporting and analytics.
  • Implement data ingestion patterns for structured and unstructured data sources.
  • Ensure high data quality, integrity, and reliability across data platforms.

2. Microsoft Fabric & Modern Data Platform

  • Manage and optimise Microsoft Fabric (Lakehouse, Data Warehouse, Data Engineering).
  • Define best practices for data architecture, governance, and performance tuning within Fabric.
  • Support migration from legacy data platforms to Fabric (if applicable).

3. Power BI Development

  • Develop and maintain Power BI reports, dashboards, and semantic models.
  • Create efficient and high-performance data models including star schema design, DAX development, and report optimisation.
  • Work closely with business stakeholders to translate requirements into impactful visualisations.

4. Data Integration & ETL/ELT

  • Develop ETL/ELT pipelines using Azure Data Factory / Fabric pipelines.
  • Integrate data from ERP systems, manufacturing systems, and other enterprise applications.
  • Automate and schedule data workflows.

5. Data Governance & Compliance

  • Implement data governance, security, and access controls aligned with enterprise policies.
  • Ensure compliance with regulatory standards (e.g., GxP / data integrity principles, if applicable).
  • Define data quality rules, monitoring, and lineage tracking.

6. Stakeholder Collaboration

  • Collaborate with data analysts and business stakeholders to identify, prioritise, and deliver data needs.
  • Integrate new data sources efficiently into the enterprise data platform.
  • Expand analytics and automation capabilities to support innovation, growth, and digitalisation.
  • Support evolving business domains including Supply Chain, Production, Quality, Finance, and HR.

Required Skills & Experience

Technical Skills

  • Bachelor or Master degree in Data Engineering, Business Intelligence, Analytics, or related field.
  • Strong experience with Microsoft Fabric (Lakehouse, Warehouse, Dataflows), Azure Data Factory, Azure Synapse, SQL, and SQL Server.
  • Advanced Power BI development, including data modelling, DAX, and performance optimisation.
  • Proficiency in: SQL (advanced level), Python or Spark (preferred for Fabric / big data scenarios).
  • Experience with data warehousing concepts and modern architectures (medallion architecture, lakehouse).
  • > 5 years of relevant experience in Data Engineering, Business Intelligence, Analytics, or related roles, with demonstrated experience in Microsoft data platforms and Power BI.

Nice to Have

  • Experience in regulated environments (pharma, biotech, manufacturing, GxP).
  • Knowledge of data governance frameworks and tools.
  • Exposure to DevOps / CI-CD pipelines for data solutions.
  • Experience with ERP systems (SAP preferred) and operational systems integration.

Soft Skills

  • Strong analytical and problem-solving mindset.
  • Excellent communication skills and ability to translate business needs into technical solutions.
  • Self-motivated, ownership-driven, and able to manage priorities independently.
  • Structured and documentation-oriented.
  • Deliver high-quality, scalable, and maintainable data solutions.
  • Contribute to standardisation of data models and reporting.
  • Ensure reliable and trusted data for business decision-making.
  • Act as a subject matter expert for Microsoft Fabric and Power BI.

Why This Role?

  • Opportunity to contribute to enterprise-wide digital transformation.
  • Work on modern Microsoft Fabric-based architecture.
  • Exposure to global stakeholders and strategic initiatives.
  • High impact role in shaping data and analytics capabilities.

What we offer:

  • Full-time employment (40h) with flexible working hours in consultation. Working part-time can be discussed.
  • Salary between€ 4.702,26 and € 6.759,41 gross per month (based on full-time employment).
  • 8.33% holiday allowance and a 13th month.
  • 30 holiday days (based on fte).
  • A personal training budget of €2,100 every three years to foster professional growth and development.
  • Contribution to travel expenses from the first kilometer.
  • Excellent accessibility by public transport and private parking available.
  • A pension plan with Zorg & Welzijn, providing security for your future.

See also

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