Data Engineer Job ID JP054231

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