Job Description

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

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  Design, develop, and maintain reusable data products and pipelines
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  Translate business requirements into scalable data models and analytics solutions
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  Build and optimize data transformations using SQL, Python, Spark, and Azure technologies
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  Contribute to data product architecture, standards, and governance practices
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  Collaborate with Business Information Analysts and domain stakeholders
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  Ensure data quality, documentation, testing, and CI/CD integration
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  Support Power BI and analytics consumption layers
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  Contribute to AI-driven and automated data engineering practices

Requirements

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  Experience as a Data Engineer, Analytics Engineer, or similar role
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  Strong knowledge of SQL and Python/PySpark
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  Experience with Azure Data Factory, Azure Databricks, and/or Microsoft Fabric
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  Experience with dimensional data modeling (Kimball/star schema)
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  Familiarity with Git, testing, and CI/CD principles
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  Strong analytical and communication skills
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  Experience working in Agile/SAFe environments
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  Knowledge of ERP or asset management data sources is a plus
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  Experience with DBT is considered an asset

Soft Skills

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  Business-minded and analytical
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  Strong collaboration and stakeholder communication skills
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  Structured and quality-oriented approach
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  Proactive, autonomous, and solution-driven mindset
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  Interest in data governance, architecture, and reusable product thinking

Languages

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  Dutch: Native or bilingual proficiency
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  English: Nice to have

Location

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  Hybrid role based in Aartselaar
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  Regular on-site presence required