Data Engineer

Merapar is a strong brand within the Media and Entertainment industry, growing very fast. TV is our first love, but we are rapidly expanding into new areas such as IoT, Data Management and Analytics.

Being part of our global professional services organisation, you have the chance to help build Merapar into an even better place to work.

Driven by passion, we help clients imagine, build and run strategic infrastructures, workflows and direct to consumer applications that bring content to users worldwide.

The people who work at Merapar are our most important asset, and we are an inclusive organisation that encourages difference. We invest in training and certification, for example in cloud technology and Agile methods. We believe in Agile management and development, and we support our self organising teams.

• We are customer focused >> Engage. Don’t ignore.
• We work as a team >> Work together. Don’t swim alone.
• We improve, learn and share >> Advance. Don’t stagnate.
• We encourage difference >> Be yourself. Don’t conform.
• We deliver quality >> Excel. Don’t settle.

We are looking for Data Engineers who are strong on the technical side and also comfortable talking directly with clients. You will design, build and maintain data lakehouses, and explain your choices in a way that clients without a technical background can understand.

work closely with clients and our engineering teams to build data platforms that are secure, compliant, and easy to trust. You combine strong technical skills with the people skills to explain your work clearly, even to clients who are not technical.

• Design and build data lakehouse solutions using AWS services such as S3, Glue, Athena, Redshift and Lake Formation
• Set up data governance, with special attention to protecting personal data (PII) and meeting legal requirements
• Manage data residency, so data stays in the right region and follows local rules such as GDPR
• Act as a technical advisor for clients: you explain architecture choices, security measures and timelines in plain language
• Manage relationships with client stakeholders, from executives to technical teams, while keeping projects on track
• Build and maintain data pipelines with a strong focus on data quality, security and compliance
• Work with data analysts, security officers and legal advisors to build solutions that work for everyone involved

• Experience designing and building data lakehouse architectures (for example Databricks, Delta Lake, Apache Flink or similar tools)
• Hands-on AWS experience, including S3, Glue, Lake Formation, Athena and Redshift
• Experience handling PII data, including encryption, masking and access control
• Experience building or maintaining ML feature stores or ML pipelines in production
• Some knowledge of deploying AI or ML models on AWS
• Knowledge of data residency rules and compliance frameworks such as GDPR
• Strong communication skills: you can explain technical topics to people without a technical background
• Experience working directly with clients or internal stakeholders in a consulting role
• Good skills in Python, SQL, Scala or similar languages for data engineering
• A solid understanding of data security and privacy rules, and how to apply them in practice
• An open mind and curiosity about new technologies
• Excellent English ánd Dutch, spoken and written
• The right to work in the Netherlands

• AWS certifications (Solutions Architect Associate or Professional, Data Analytics Specialty, AI or similar)
• Experience with data governance tools or metadata management platforms
• Experience delivering data solutions to enterprise clients
• Experience in the Telco or Media industry
• Experience with generative AI tools or LLM applications in data projects
• Understanding of responsible and ethical AI principles

• A competitive salary based on experience and location
• The chance to work on modern data platforms and architectures
• Direct influence on projects that really matter
• Room to keep learning and growing in cloud technology
• A collaborative team of experienced data professionals

Send us your CV and a short cover letter about your experience with data lakehouses and client-facing work. Feel free to add portfolio examples or GitHub links that show your work.

We are an inclusive employer and keep working to increase diversity. We encourage applications from under-represented groups, including women and ethnic minorities, and we are happy to make accommodations for disability or neurodiversity during the interview process.

If you would like to know more about the position, please contact Maud Mutsaars at 06-42851017. If you have no questions and you’re excited about the role, please apply below.