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Open nowPosted 52 days ago

Senior Data Engineer

EURES job mobility portal302,949 open roles

Where
Antwerpen, Belgium
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Your applicationOpen nowSenior Data EngineerEURES job mobility portal · Antwerpen, Belgium

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The clock on this job

Early applications get read.

7.8% of postings close within 7 days. Measured by our own scanner across the market.

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  4. 14.3%14 days
  5. 33.7%30 days
This job: posted 52 days ago

The posting

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

C. Required Skills & Expertise

Must Have

  • Minimum 5 years of experience as a Data Engineer.
  • Experience with cloud-based data architectures on Azure.
  • Experience with lakehouse or data-warehouse concepts.
  • Strong Microsoft Fabric experience, specifically: Pipelines Dataflows Notebooks
  • Experience integrating data from multiple source systems.
  • Experience supporting reporting and analytics environments.
  • Minimum 3 years of Python experience within a data-engineering context.
  • Experience with Python, Java, or Scala for data flows and ETL processes.
  • Strong SQL knowledge.
  • Query optimisation experience.
  • Dutch language proficiency at CEFR C2 level.

Should Have

  • Experience within a public-sector, municipal, or complex enterprise environment.
  • ETL design and implementation.
  • CI/CD for data solutions.
  • Version control.
  • Automated deployment of data solutions.
  • Database experience.
  • Medallion architecture.
  • Bronze, Silver, and Gold data layers.
  • Power BI.
  • Spark or Spark-based processing.
  • Data governance.
  • Data-quality management.
  • Data lineage.
  • Kimball dimensional modelling.
  • Lakehouse architecture.
  • Data Mesh.
  • Domain-oriented data architecture.
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