Senior Data Platform Engineer, Intelligent Platforms (all genders)

Das ist der Job

Participate in on-call rotations for the systems you own, and invest in automation so the platform runs without a human in the loop.

Darum lohnt es sich

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. • Build 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. • Raise 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. • Collaborate 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. • Operate what you build.

PostgreSQL, MongoDB, DynamoDB) and the trade‑offs between them. • Experience building infrastructure on AWS with infrastructure‑as‑code (Terraform), containers, and Kubernetes. • A strong ownership mindset — you care about reliability, efficiency, and the developer experience of the teams you serve. • Comfort with on‑call responsibilities and a bias toward automating away toil. • Excellent communication skills and the ability to collaborate across engineering teams to design seamless, composable services.

What we offer • Compensation & Financial Wellbeing — You’ll receive a competitive salary package, including a HelloFresh-subsidized pension scheme. • Enjoy savings on your weekly HelloFresh box. • Save with discount schemes with corporate benefits and Vorteile. • Health & Wellbeing — Support your mental wellbeing with access to platforms like Headspace and Spill. • Stay active with 24/7 office gym access, a discounted Urban Sports Club membership, and other wellbeing resources. • Flexibility & Work-Life — Balance your life with our flexible hybrid model. • Recharge with sabbatical leave options in addition to standard time off. • Get to work with ease through sustainable travel perks and transportation benefits. • Career & Development — Embrace “Learning Never Stops” with internal training, the HelloFresh Academy, and a dedicated budget for German language courses. • Culture & Environment — Enjoy tasty in‑office meal deals and fresh food options. • We support working families with parent‑friendly policies, an in‑office kids corner, and an on‑site babysitter.

About the role At 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.

What you’ll do • Build 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. • Drive efficiency.

Identify and act on opportunities to reduce the cost and complexity of the platform, and make efficiency a default rather than an afterthought. • Own 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. • Enable self-service for operational data stores.

What you’ll bring • Hands‑on experience as a data, software, or platform engineer, with a track record of building and operating production data infrastructure at scale. • Strong software engineering fundamentals and proficiency in a backend language (e.g., Go, Java, Scala, or Python). • Deep experience with event streaming and messaging systems — Kafka in particular — including their operational characteristics in production. • A solid understanding of databases (relational and NoSQL — e.g.

Nice to have • Experience with Flink, stream processing, Kafka Connect. • Experience building self‑service developer platforms. • Familiarity with data lake architectures.