Microsoft Fabric Data Engineer

Microsoft Fabric Data Engineer

What We Are Looking For

We are looking for a hands-on Microsoft Fabric Data Engineer to build and implement a Group-wide data platform from the ground up. You will be responsible for transforming an established target architecture, reporting roadmap, KPI framework, and data strategy into a scalable, secure, and production-ready platform. Working with SAP and non-SAP data sources, you will design and deliver data solutions that provide trusted, self-service insights while ensuring scalability, governance, and long-term maintainability.

What You Will Do on a Daily Basis

• Design and implement a Microsoft Fabric environment, including capacity, domains, workspace topology, naming conventions, and lifecycle standards.
• Build and optimize data ingestion processes from SAP and non-SAP sources using Fabric Data Factory, Copy Job, mirroring, gateways, notebooks, and Dataflows Gen2.
• Develop and maintain medallion architecture layers within OneLake, Lakehouse, and Warehouse environments, ensuring high-performance data consumption through Direct Lake.
• Implement CI/CD practices, source control, deployment pipelines, and environment parameterization across development, testing, and production stages.
• Establish security, governance, monitoring, and capacity management practices while documenting solutions and enabling knowledge transfer to internal stakeholders.

Your Key Skills

• Strong hands-on experience delivering Microsoft Fabric solutions in production environments, including at least one end-to-end implementation.
• Advanced knowledge of T-SQL, PySpark, Delta Lake, lakehouse architecture, and medallion design patterns.
• Experience with Fabric Data Factory, pipelines, Dataflows Gen2, Copy Job, mirroring, and data gateway configuration.
• Solid understanding of CI/CD practices, Git integration, deployment pipelines, Fabric APIs, and automation tools.
• Expertise in Fabric security, governance, workspace administration, OneLake security, RLS/CLS, sensitivity labels, Entra ID, and service principals.

Your Main Qualifications

• Minimum of 5 years of experience within the Microsoft data ecosystem, including Azure Data Factory or Synapse, Azure SQL or SQL Server, ADLS Gen2, and Power BI.
• Proven experience with Microsoft Fabric, ideally with 1 to 3 years of hands-on delivery in production environments.
• Experience working with SAP data extraction and integration from BW, ECC, or S/4 environments.
• Professional certifications such as DP-700 (Fabric Data Engineer) or DP-600 (Fabric Analytics Engineer) are considered an advantage.
• Additional experience with Direct Lake semantic models, Terraform, Microsoft Purview, Real-Time Intelligence, Snowflake, or data separation/carve-out projects will be valued.

What We Offer

• Career Growth Opportunities By joining large-scale Axians projects, you will have access to training and certifications across various technology areas, helping you expand your expertise.
• Professional Development in International Markets Through our international projects, you will be challenged, gain valuable experience, demonstrate your capabilities, and become even more skilled in your field.
• Exciting Large-Scale Challenges We offer challenges tailored to your ambitions, enabling you to develop expertise in your preferred area and potentially become a recognized specialist.
• Support for Professional and Personal