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.
We are becoming an AI-first organisation. That means we use AI in how we build, test and deliver software for our clients, and in how we work ourselves. We are looking for people who want to help shape that.
The roleAs 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 will do- Design and build data lakehouse solutions on AWS, using services such as S3, Glue, Athena, Redshift and Lake Formation
- Build and maintain data pipelines with a strong focus on data quality, security and compliance
- Build data platforms, feature stores and pipelines that feed AI and ML models in production
- 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 rules such as GDPR
- Act as a technical advisor: 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
- 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 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
- 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 or LLM applications in data projects, and an understanding of responsible AI principles
- A salary of €5,000 – €6,700 per month, based on your experience
- Training and certification in AI, cloud technology and Agile
- Hybrid working, with our office in Veldhoven as home base
- Self-organising teams that work on Agile principles
- Work on modern data platforms with a team of experienced data professionals
Send us your CV and a short motivation. Tell us about your experience with data lakehouses and client-facing work, and add portfolio examples or a GitHub link if you have them.
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.
Do you think we match? Get in touch!Want to know more about the role? Contact Maud Mutsaars on 00316-11706427. Ready to apply? Use the Apply button on this page.
Skills Required
- Proven experience designing and implementing data lakehouse architectures (Databricks, Delta Lake, Apache Flink, or similar)
- Hands-on AWS experience including S3, Glue, Lake Formation, Athena, and Redshift
- Demonstrated expertise in PII data management (encryption, masking, access control)
- Experience building and maintaining ML feature stores or production ML pipelines
- Familiarity with AI/ML model deployment on AWS
- Knowledge of territorial data residency requirements and compliance frameworks (GDPR, local data localization laws)
- Experience working directly with clients or internal stakeholders in a consultative capacity
- Excellent communication skills; ability to translate technical concepts for non-technical audiences
- Proficiency in Python, SQL, Scala or similar for data engineering tasks
- Strong understanding of data security, privacy regulations, and practical implementation
- Excellent written and verbal English and Dutch
- Eligibility to work in the location
- AWS Certifications (Solutions Architect, Data Analytics, AI) or related credentials
- Experience with data governance tools and metadata management platforms
- Experience delivering data solutions to enterprise clients; Telco & Media industry experience
- Experience with generative AI tools and LLM applications; understanding of responsible AI principles
What We Do
Merapar company was founded in 2015 by entrepreneurs and senior executives in the Telecoms, Media and Technology sector. We aim to become the leading full service innovation partner in the Media, Broadcast and IoT sectors by leveraging the experience and backgrounds of our founders. Our dedicated software development capability and profound experience in scalable cloud solutions has resulted in a rich portfolio of cloud based platform components that can be swiftly deployed for our customers. We are the trusted cloud-based software services company for our clients. From providing support on the initial business and technology concepts to successful implementation of operational solutions. Acting as advanced development group to allow for fast introduction and deployment of new technologies and techniques. We empower our customers to stay ahead of the race







