Job description
Role Overview
The Azure Synapse & Microsoft Fabric Data Engineer was responsible for designing, building, and optimizing data solutions across the Microsoft data ecosystem. The role covered end-to-end data engineering activities, including ingestion, transformation, orchestration, modeling, and performance tuning, supporting advanced analytics and BI workloads.
Key Responsibilities
* Designed, developed, and maintained scalable data pipelines using Azure Synapse Analytics (SQL Pools, Spark Pools, Pipelines).
* Implemented data workflows and transformation logic within Microsoft Fabric, including Data Factory, Lakehouse, Data Engineering, and Data Pipelines.
* Created and optimized data models to support reporting, dashboards, and analytics.
* Built and managed data ingestion frameworks from various on-prem and cloud sources.
* Ensured data reliability, performance, and scalability through monitoring, optimization, and automation.
* Applied security best practices, including RBAC, data masking, encryption, and governance via Purview.
* Collaborated closely with BI teams, architects, and business stakeholders to translate data requirements into technical solutions.
* Ensured proper documentation, version control, and DevOps practices (CI/CD, IaC).
Job requirements
Required Skills & Experience
* Minimum 4+ years of hands-on experience in data engineering within the Microsoft ecosystem.
* Strong expertise in:
o Azure Synapse Analytics (Serverless, Dedicated SQL, Spark, Pipelines)
o Microsoft Fabric (Lakehouse, Data Engineering, Data Factory)
o Azure Data Lake Storage (ADLS)
o Azure Data Factory
* Proficiency in SQL, Python, and data transformation frameworks.
* Experience with Delta Lake or parquet-based lakehouse architectures.
* Solid understanding of ETL/ELT design patterns and distributed data processing.
* Familiarity with Microsoft Purview or similar governance platforms.
* Experience with Azure DevOps (Repos, Pipelines) or Git-based workflows.
Nice to Have
* Experience with Power BI integration or Fabric semantic modeling.
* Knowledge of Databricks or other cloud-based analytics platforms.
* Understanding of real-time ingestion (Event Hub, Stream Analytics).
Soft Skills
* Collaborative approach with strong communication skills.
* Ability to work in Agile environments and deliver incremental value.
* Comfortable translating business needs into technical solutions.
Hybrid
* Brussels, Belgium
All done
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