Data Platform Engineer — Microsoft Fabric

Blis Digital; Nederland; Hybride; EUR 47 000 - 67 000; Plein temps

Avantages offerts par ce poste

Company laptop

Phone

Home office allowance

Pension

Holiday 25 days

Hybrid work 2–3 days

Profit sharing

Training budget

Fabric certification training

AI tools access

Résumé du poste

Blis Digital is building data platforms on Microsoft Fabric for organisations serious about data-driven decisions, and wants to put AI on top of that data. As a platform engineer you own the middle layer—the silver and gold layers—where raw data gains meaning and is prepared for analysis.

You’ll design and build on Fabric (PySpark, Spark SQL, Delta Lake), model star schemas, implement quality checks, and ensure the semantic model feeds Power BI with Direct Lake access.

Qualifications

• 4–7 years of experience as a data engineer, analytics engineer or BI developer.
• Master dimensional modelling (Kimball) and explain grain/history choices.
• Strong SQL and hands-on PySpark or Spark SQL.
• Experience with Microsoft Fabric, or Databricks/Synapse.
• You understand semantic models, read DAX and work with Git.
• You speak and write Dutch fluently.

Responsabilités

• Design and build silver and gold layers in Fabric (PySpark, Spark SQL, Delta Lake).
• Model star schemas per domain: facts, dimensions, history (SCD) and conformed dimensions.
• Translate KPI definitions and business rules into transformations with quality checks.
• Ensure gold lands in the semantic model and Power BI Direct Lake.
• Build reusable patterns to accelerate future client projects.

Connaissances

Data engineer

Analytics engineer

BI developer

Dimensional modelling (Kimball)

SQL

PySpark

Spark SQL

Git

Dutch fluency

Outils

Microsoft Fabric

Databricks

Synapse

Power BI

Delta Lake

Description du poste

Blis Digital is building data platforms on Microsoft Fabric for organisations serious about data-driven decisions, and wants to put AI on top of that data. As a platform engineer you own the middle layer—the silver and gold layers—where raw data gains meaning and is prepared for analysis.

You’ll design and build on Fabric (PySpark, Spark SQL, Delta Lake), model star schemas, implement quality checks, and ensure the semantic model feeds Power BI with Direct Lake access.