Data Engineer
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Role details
Tech stack
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Requirements
As a Data Engineer you design, build and maintain secure, compliant data platforms and lakehouses for our clients. You combine deep technical expertise with strong communication skills, and you explain complex technical choices clearly to non-technical stakeholders and clients. AI is part of your work. The platforms you build feed AI and ML models in production, and you use AI tools to work faster yourself. What you bring - Experience designing and building data lakehouse architectures (for example Databricks, Delta Lake or similar tools) - Hands-on experience with AWS data services - Good skills in Python, SQL, Scala or similar languages for data engineering - Experience handling PII data (encryption, masking and access control) and knowledge of GDPR and data residency rules - Experience with ML pipelines or feature stores in production, and some knowledge of deploying AI or ML models on AWS - Experience working directly with clients or stakeholders in a consulting role - You use AI tools in your daily work, or you are keen to learn how they make you and your team better - You speak and write English and Dutch fluently, and you have the right to work in the Netherlands Nice to have - AWS certifications (Sol…
About the company
Merapar is an international technology and software engineering organisation that helps organisations turn complex technology into reliable, high-performing platforms. With deep expertise in cloud, data and AI, we work for leading clients across Europe, from strategy to production-ready delivery.
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