Microsoft Data & Analytics Engineer

The Challenge

Our client has an extensive Microsoft BI platform and is working on its further development towards Microsoft Fabric. As the Business Intelligence team, you are responsible for the Fabric and Power BI environment and for a data platform that runs on Starburst Galaxy. You play a key role in this cloud migration.

What will you do?

As a Microsoft Data & Analytics Engineer (medior/senior), you will explore and assess Fabric capabilities and drive its adoption within the organization. You will be a trusted advisor to business and IT stakeholders, contributing to platform standards, governance, performance optimization, and best practices.

Your activities include, among others:

• Exploring, assessing, and driving the adoption of Microsoft Fabric capabilities within the organization

• Acting as a trusted advisor to business and IT stakeholders

• Contributing to platform standards, governance, performance optimization, and best practices

• Implementing scalable data solutions with Fabric Data Factory, OneLake, Lakehouse, Warehouse, and SQL Database workloads

• Designing and guiding the migration of on-premises workloads to Microsoft Fabric

• Developing and maintaining enterprise semantic models in Power BI and Microsoft Fabric

• Supporting business stakeholders with reporting and data integration issues

How you make an impact

You will implement scalable data solutions with Fabric Data Factory, OneLake, Lakehouse, Warehouse, and SQL Database workloads, and design and guide the migration of existing on-premises workloads to Microsoft Fabric. Additionally, you will develop and maintain enterprise semantic models in Power BI and Microsoft Fabric, enabling self-service analytics and reporting for the entire organization. You will refactor measures, advise on improvements, and optimize model performance. You will support business stakeholders with reporting issues and data integration needs, ensuring that data engineering, analytics engineering, and Power BI expertise come together in your role.

What you get from us

• Salary: €4,000 – €7,000 gross per month (for 40 hours)

• Working with modern technologies within Microsoft Fabric and Power BI

• Hybrid work model: working at the office in Venlo (preferably Tuesdays and Wednesdays) combined with working from home in consultation

• A central role in shaping platform standards and best practices

• Collaboration with both technical and business teams
  

What it offers you

• A key role in the migration of a large-scale on-premises BI platform to Microsoft Fabric

• The opportunity to combine Data Engineering, Analytics Engineering, and Power BI expertise in one role

• Direct influence on platform standards and governance within a large organization

• Collaboration with business and technical teams on scalable, governed analytics solutions

Task Distribution

30% Implementing data solutions in Microsoft Fabric
25% Migration of on-premises workloads to Fabric
20% Developing and maintaining semantic models
15% Advising business and IT stakeholders
10% Supporting with reporting and data integration issues

Hard Skills

• HBO/WO education in Informatics, Data Science, or equivalent

• Demonstrable technical knowledge and hands-on experience with Microsoft Fabric

• Strong experience with Microsoft SQL Server, T-SQL, and implementing ETL processes/data pipelines

• Experience with Power BI, including DAX

Nice to have

• Experience with Fabric workspace management, capacity concepts, Azure DevOps, Git-based development, CI/CD, and version-controlled deployments

• Experience with modern data engineering practices, including modular SQL development, PowerShell, and Python

• Affinity with Kimball data modeling techniques and semantic modeling

• Knowledge of TMDL (Tabular Model Definition Language)

• Knowledge of authentication and authorization concepts, including Microsoft Entra ID, RBAC, dynamic RLS, and OLS

• Experience with dbt (data build tool)

• Relevant Microsoft training and certifications

Soft Skills

• Analytical

• Communicative

• Independent
  

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