Data (Analytics) Engineer
We are looking for a Medior Data (Analytics) Engineer to help build scalable and reusable data products within a cloud-driven data environment. You will work closely with business stakeholders, analysts, and IT teams to translate business needs into high-quality data solutions that support operational and strategic decision-making.
Responsibilities
* Design, develop, and maintain reusable data products and pipelines
* Translate business requirements into scalable data models and analytics solutions
* Build and optimize data transformations using SQL, Python, Spark, and Azure technologies
* Contribute to data product architecture, standards, and governance practices
* Collaborate with Business Information Analysts and domain stakeholders
* Ensure data quality, documentation, testing, and CI/CD integration
* Support Power BI and analytics consumption layers
* Contribute to AI-driven and automated data engineering practices
Requirements
* Experience as a Data Engineer, Analytics Engineer, or similar role
* Strong knowledge of SQL and Python/PySpark
* Experience with Azure Data Factory, Azure Databricks, and/or Microsoft Fabric
* Experience with dimensional data modeling (Kimball/star schema)
* Familiarity with Git, testing, and CI/CD principles
* Strong analytical and communication skills
* Experience working in Agile/SAFe environments
* Knowledge of ERP or asset management data sources is a plus
* Experience with DBT is considered an asset
Soft Skills
* Business-minded and analytical
* Strong collaboration and stakeholder communication skills
* Structured and quality-oriented approach
* Proactive, autonomous, and solution-driven mindset
* Interest in data governance, architecture, and reusable product thinking
Languages
* Dutch: Native or bilingual proficiency
* English: Nice to have
Location
* Hybrid role based in Aartselaar
* Regular on-site presence required