Senior Data Platform Engineer, Intelligent Platforms (all genders)

JobCubby; Berlin; Hybrid; EUR 90.000 - 140.000; Vollzeit

Benefits dieser Stelle

Pension scheme

HelloFresh Academy

Hybrid work model

Office meal deals

Wellbeing resources

Zusammenfassung

HelloFresh is looking for a data/platform engineer to build and operate our streaming and data infrastructure. You’ll own real-time data paths, ensure reliability, and enable self-service tooling for engineering teams across a hybrid work model.

You’ll work with Kafka, Flink, and AWS, improve platform efficiency, and partner with the Analytical Data team to deliver clean data into analytics. On-call rotations and automation will be part of the role.

Qualifikationen

• Hands-on data/platform engineering experience.
• Strong backend programming fundamentals.
• Deep experience with event streaming systems (Kafka).
• Knowledge of relational and NoSQL databases.
• Experience with AWS and infrastructure-as-code (Terraform).
• Ownership mindset focusing on reliability and efficiency.
• Comfort with on-call responsibilities and automation.

Aufgaben

• Build and run streaming and messaging platforms (Kafka, Kafka Connect, Flink, SQS).
• Improve efficiency by reducing platform cost and complexity.
• Maintain reliability and resilience of critical data paths and observability.
• Develop Terraform modules and tooling for self-service data stores.
• Create AI-powered self-service tooling for data infrastructure.
• Ensure data quality and governance across data pipelines.

Kenntnisse

Backend programming

Event streaming

Kafka

AWS

Kubernetes

On-call reliability

Communication

Tools

Terraform

AWS

Kubernetes

Docker

Jobbeschreibung

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

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. 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.

Nice to have

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

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.