Senior Fabric Engineers

Location: Brussels

Duration: Full-time for 1 year and 6 months (two profiles)

Language: Dutch or English

Work Arrangement: Hybrid, 1-2 days onsite per week

Job Description:

Join our data engineering team as we modernize our data platform from an on-premise data warehouse to a cloud-native Microsoft Fabric environment. As a Senior Data Engineer, you will contribute hands-on to building reliable, scalable data pipelines and delivering well-structured data products that support reporting and analytics. You will work in a hybrid landscape where on-premise and cloud sources must coexist during the transition, so you are expected to be comfortable operating across both environments. Your role is not to redesign the entire platform but to deliver high-quality engineering work, challenge weak implementation patterns, and help the team mature its Fabric way of working through pragmatic technical input and clear documentation.

Must-have Skills:

• API ingestion patterns (REST, pagination, auth) - 3 years (Medior)
• Cost and capacity awareness in cloud analytics platforms - 5 years (Senior)
• Data quality engineering (checks, reconciliation, monitoring) - 5 years (Senior)
• Dataflows Gen2 - 1 year (Senior)
• DAX (performance-focused measures) - 5 years (Senior)
• Dimensional modeling and star schemas - 5 years (Senior)
• Documentation, standards, and knowledge sharing - 7 years (Senior)
• Fabric Data Factory pipelines - 2 years (Senior)
• Fabric Data Warehouse (tables, views, performance) - 2 years (Senior)
• Hybrid enterprise landscape (on-prem plus cloud) - 5 years (Senior)
• Lakehouse on OneLake (Delta) - 2 years (Senior)
• Medallion architecture (bronze to silver to curated) - 5 years (Senior)
• Mentoring and raising team capability - 5 years (Senior)
• Microsoft Fabric (end to end) - 2 years (Senior)
• Owning delivery and proactively managing risks and dependencies - 7 years (Senior)
• Performance optimization across pipelines, lakehouse, and warehouse - 5 years (Senior)
• PySpark and Spark DataFrames - 3 years (Senior)
• Python for data engineering - 3 years (Senior)
• Scrum hygiene (clean tickets, predictable delivery) - 7 years (Senior)
• Semantic layer design (dataset to model to report coherence) - 5 years (Senior)
• Source connectivity (ODBC, SQL, Salesforce, notebooks) - 5 years (Senior)
• SQL (T-SQL, ELT patterns, optimization) - 5 years (Senior)
• Translating requirements into deliverable technical solutions - 7 years (Senior)

Nice-to-have Skills:

• Data Products Modeling - 3 years (Senior, role level: Medior)
• Enterprise SaaS as a data source (e.g., CRM) - 5 years (Senior, role level: Medior)
• Power BI semantic models - 5 years (Senior, role level: Medior)