Senior Data Engineer

Over deze functie

**Role Name:** Senior Data Engineer
**Location:** Antwerp, Belgium
**Remote Work:** Yes (Hybrid)
**Start Date:** 25/08/2026
**End Date:** 15/07/2027
**Language Requirement:** Dutch at CEFR C2 level

B. Main Responsibilities

Data Pipeline Engineering

* Design, build, optimise, and maintain scalable data pipelines.
* Develop reliable data-processing workflows for large data volumes.
* Integrate data from multiple source systems.
* Build reusable and maintainable data-processing components.
* Monitor and improve pipeline performance and reliability.

Microsoft Fabric Development

* Develop solutions using Microsoft Fabric.
* Work with Fabric pipelines, dataflows, and notebooks.
* Build and maintain modern analytics and data-processing workloads.
* Support scalable ingestion, transformation, and processing patterns.
* Optimise Fabric-based data solutions for performance and maintainability.

Data Integration

* Integrate relational databases, APIs, files, applications, and other data sources.
* Design robust ingestion and transformation processes.
* Develop reusable data-integration patterns.
* Validate and monitor source-to-target data flows.
* Ensure reliable and consistent data delivery.

Lakehouse & Data Warehouse Architecture

* Design and maintain cloud-based lakehouse and warehouse solutions.
* Implement medallion architecture using Bronze, Silver, and Gold layers.
* Support modern Azure-based data architectures.
* Contribute to domain-oriented and data-mesh concepts where applicable.
* Ensure scalability, maintainability, and reuse across data products.

Data Modelling

* Translate reporting and analytics needs into data models.
* Develop reliable and reusable analytical datasets.
* Apply dimensional-modelling principles.
* Work with Kimball-based modelling concepts.
* Optimise data structures for reporting and business intelligence.

Python & SQL Engineering

* Develop data-processing logic using Python.
* Use Python for ETL and data-engineering workloads.
* Develop and optimise SQL queries.
* Improve query performance.
* Support database-related analysis and troubleshooting.

Reporting & Analytics Support

* Support Power BI and analytics environments.
* Prepare trusted datasets for reporting.
* Work with reporting specialists to understand analytical requirements.
* Improve the reliability and consistency of reporting data.
* Support self-service and enterprise analytics needs.

Data Governance & Quality

* Contribute to data-governance standards.
* Implement data-quality controls.
* Support metadata and lineage practices.
* Identify and resolve data-quality issues.
* Promote consistent data-management practices across the platform.

CI/CD & DataOps

* Support CI/CD for data solutions.
* Use version control for data engineering artefacts.
* Automate deployments across environments.
* Improve release and deployment processes.
* Apply modern DataOps and engineering practices.

Documentation & Collaboration

* Document pipelines, dataflows, data models, and a