{"id":660504,"url":"https://alion.io/job/merapar-data-engineer","title":"Data Engineer","company":{"id":689962,"name":"Merapar","domain":"merapar.com","url":"https://alion.io/company/merapar-2","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Breezy","truth_index":{"grade":"B","score":75,"open_postings":4,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-29T05:49:05Z"}},"role":"Data Science","role_family":"Data Science","seniority":null,"employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Veldhoven, Netherlands"],"countries":["NL"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":50000,"max_usd":99000,"period":"year","method":"role_country_seniority_unknown","sample_n":141},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Amazon Redshift","optional":false},{"name":"Amazon S3","optional":false},{"name":"AWS","optional":false},{"name":"Databricks","optional":false},{"name":"Delta Lake","optional":false},{"name":"Feature Store","optional":false},{"name":"Flink","optional":false},{"name":"GDPR","optional":false},{"name":"Python","optional":false},{"name":"Scala","optional":false},{"name":"SQL","optional":false},{"name":"GitHub","optional":true},{"name":"LLM","optional":true}],"status":"live","first_seen_at":"2026-07-10T11:40:26Z","employer_posted_date":"2026-07-10","last_verified_at":"2026-10-29T21:01:36Z","board_verified":true,"closed_at":null,"days_open":111,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":110},"description":"About Merapar\nMerapar 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.\nBeing part of our global professional services organisation, you have the chance to help build Merapar into an even better place to work.\nDriven by passion, we help clients imagine, build and run strategic infrastructures, workflows and direct to consumer applications that bring content to users worldwide.\nThe 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.\nWe are customer focused >> Engage. Don’t ignore.\nWe work as a team >> Work together. Don’t swim alone.\nWe improve, learn and share >> Advance. Don’t stagnate.\nWe encourage difference >> Be yourself. Don’t conform.\nWe deliver quality >> Excel. Don’t settle.\nAbout the role\nWe 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.\nAs a Data Engineer you\nwork 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.\nYou\nDesign and build data lakehouse solutions using AWS services such as S3, Glue, Athena, Redshift and Lake Formation\nSet up data governance, with special attention to protecting personal data (PII) and meeting legal requirements\nManage data residency, so data stays in the right region and follows local rules such as GDPR\nAct as a technical advisor for clients: you explain architecture choices, security measures and timelines in plain language\nManage relationships with client stakeholders, from executives to technical teams, while keeping projects on track\nBuild and maintain data pipelines with a strong focus on data quality, security and compliance\nWork with data analysts, security officers and legal advisors to build solutions that work for everyone involved\nYou have\nExperience designing and building data lakehouse architectures (for example Databricks, Delta Lake, Apache Flink or similar tools)\nHands-on AWS experience, including S3, Glue, Lake Formation, Athena and Redshift\nExperience handling PII data, including encryption, masking and access control\nExperience building or maintaining ML feature stores or ML pipelines in production\nSome knowledge of deploying AI or ML models on AWS\nKnowledge of data residency rules and compliance frameworks such as GDPR\nStrong communication skills: you can explain technical topics to people without a technical background\nExperience working directly with clients or internal stakeholders in a consulting role\nGood skills in Python, SQL, Scala or similar languages for data engineering\nA solid understanding of data security and privacy rules, and how to apply them in practice\nAn open mind and curiosity about new technologies\nExcellent English ánd Dutch, spoken and written\nThe right to work in the Netherlands\nNice to have\nAWS certifications (Solutions Architect Associate or Professional, Data Analytics Specialty, AI or similar)\nExperience with data governance tools or metadata management platforms\nExperience delivering data solutions to enterprise clients\nExperience in the Telco or Media industry\nExperience with generative AI tools or LLM applications in data projects\nUnderstanding of responsible and ethical AI principles\nWhat we offer\nA competitive salary based on experience and location\nThe chance to work on modern data platforms and architectures\nDirect influence on projects that really matter\nRoom to keep learning and growing in cloud technology\nA collaborative team of experienced data professionals\nHow to apply\nSend 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.\nWe 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.\nDo you think we match? Get in touch!\nIf you would like to know more about the position, please contact Maud Mutsaars at 06-42851017. 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