{"id":1949401,"url":"https://alion.io/job/hellofresh-nordics-senior-data-platform-engineer-intelligent-platforms-all-genders","title":"Senior Data Platform Engineer, Intelligent Platforms (all genders)","company":{"id":1061,"name":"HelloFresh","domain":"hellofresh.com","url":"https://alion.io/company/hellofresh","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"A","score":88,"open_postings":69,"ghost_share":0,"stale_share":0.449,"repost_share":0.043,"time_to_fill_p50_days":42,"computed_at":"2026-10-31T05:58:55Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Berlin, Germany"],"countries":["DE"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":73000,"max_usd":128000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":27},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"DynamoDB","optional":false},{"name":"Flink","optional":false},{"name":"Go","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"Java","optional":false},{"name":"Kubernetes","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Python","optional":false},{"name":"Scala","optional":false},{"name":"Terraform","optional":false}],"status":"live","first_seen_at":"2026-09-04T16:29:00Z","employer_posted_date":"2026-10-19","last_verified_at":"2026-11-01T03:12:08Z","board_verified":true,"closed_at":null,"days_open":57,"trust":{"level":"ok","repost_count":1,"flags":[],"days_open":56},"description":"About the role\nAt HelloFresh, data is at the heart of everything we do - from the moment a customer places an order to the way we forecast demand, optimize our supply chain, and personalize experiences for millions of people. Making that data fast, reliable, and available is what our Data Platform makes possible.\nWe are looking for a Senior Data Platform Engineer to join our Operational Data Platform team - the squad that ensures operational data is created, delivered, and shared downstream reliably, cost-efficiently, and with the quality guarantees that everything downstream depends on - so the analytics layer receives quality data, ready to be turned into governed assets. You will build the streaming, messaging, and self-service provisioning systems that hundreds of backend and data engineers rely on every day.\nThis is a hands-on engineering role at the core of our platform. You'll own critical infrastructure, drive efficiency, and help define the \"golden path\" that makes it effortless for engineers across the company to store and stream their data - with governance and cost control built in from the start.\nWhat you'll do\nBuild and run our streaming and messaging platform. Own the systems that move data in real time and at scale - Kafka, Kafka Connect, Flink, and SQS - and keep them fast, resilient, and easy to build on.\nDrive efficiency. Identify and act on opportunities to reduce the cost and complexity of the platform, and make efficiency a default rather than an afterthought.\nOwn the reliability of critical data paths. Keep the systems at the heart of the platform highly available, and continuously improve their resilience, observability, and operational maturity.\nEnable self-service for operational data stores. Build and maintain the Terraform modules and tooling that let engineering teams use the right database for their use case within minutes, with governance and cost guardrails out of the box.\nBuild AI-powered self-service. Develop tooling - including AI and agent-based capabilities - that lets teams operate and maintain their own data infrastructure, so the platform runs without us in the loop.\nRaise the bar on data quality for operational data, including data quality checks on Kafka, so downstream analytics can trust the data from the moment it's created.\nCollaborate across the platform. Work closely with the Analytical Data team so high-quality operational data flows seamlessly into the analytics platform through clean, well-defined handover points.\nOperate what you build. Participate in on-call rotations for the systems you own, and invest in automation so the platform runs without a human in the loop.\nWhat you'll bring\nHands-on experience as a data, software, or platform engineer, with a track record of building and operating production data infrastructure at scale.\nStrong software engineering fundamentals and proficiency in a backend language (e.g., Go, Java, Scala, or Python).\nDeep experience with event streaming and messaging systems - Kafka in particular - including their operational characteristics in production.\nA solid understanding of databases (relational and NoSQL - e.g. PostgreSQL, MongoDB, DynamoDB) and the trade-offs between them.\nExperience building infrastructure on AWS with infrastructure-as-code (Terraform), containers, and Kubernetes.\nA strong ownership mindset - you care about reliability, efficiency, and the developer experience of the teams you serve.\nComfort with on-call responsibilities and a bias toward automating away toil.\nExcellent communication skills and the ability to collaborate across engineering teams to design seamless, composable services.\nNice to have\nExperience with Flink, stream processing, Kafka Connect.\nExperience building self-service developer platforms.\nFamiliarity with data lake architectures.\nWhat we offer\nCompensation & Financial Wellbeing\nYou’ll receive a competitive salary package, including a HelloFresh-subsidized pension scheme.\nEnjoy savings on your weekly HelloFresh box.\nSave with discount schemes with corporate benefits and Vorteile.\nHealth & Wellbeing\nSupport your mental wellbeing with access to platforms like Headspace and Spill.\nStay active with 24/7 office gym access, a discounted Urban Sports Club membership, and other wellbeing resources.\nFlexibility & Work-Life\nBalance your life with our flexible hybrid model.\nRecharge with sabbatical leave options in addition to standard time off.\nGet to work with ease through sustainable travel perks and transportation benefits.\nCareer & Development\nEmbrace \"Learning Never Stops\" with internal training, the HelloFresh Academy, and a dedicated budget for German language courses.\nCulture & Environment\nEnjoy tasty in-office meal deals and fresh food options.\nWe support working families with parent-friendly policies, an in-office kids corner, and an on-site babysitter.","description_format":"text","description_chars":4865,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[{"language":"German","level":"All levels","optional":true}]},"benefits":[],"hiring_locations":[{"name":"Germany","iso":"DE","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Online Groceries","Subscription Commerce","Prepared 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