Senior Data Platform Engineer, Intelligent Platforms (all genders)

Jackalope Digital LLC; Berlin; Hybrid; EUR 90.000 - 140.000; Vollzeit

Benefits dieser Stelle

Pension scheme

HelloFresh box discounts

Corporate benefits & discounts

Headspace access

Spill mental wellbeing platform

24/7 office gym access

Urban Sports Club membership

HelloFresh Academy

German language budget

In-office meal deals

Parent-friendly policies

Kids corner & babysitter on-site

Zusammenfassung

HelloFresh in Berlin is seeking a Senior Data Platform Engineer for the Operational Data Platform team. You will build and run real-time data pipelines, ensure data quality, and enable engineers to store and stream data with governance and cost controls.

You’ll own critical infrastructure, improve reliability, and shape the ‘golden path’ for data across the company. This role emphasizes on-call duties, automation, and cross-team collaboration in a hybrid work model.

Qualifikationen

• Hands-on data/platform engineering experience at scale.
• Backend experience in Go/Java/Scala/Python.
• Deep experience with event streaming and messaging systems, esp. Kafka.
• Strong understanding of relational and NoSQL databases (PostgreSQL, MongoDB, DynamoDB).
• Experience building infrastructure on AWS with Terraform, containers, and Kubernetes.
• Strong ownership mindset focused on reliability, efficiency, and developer experience.
• Comfort with on-call responsibilities and automation.
• Excellent communication across engineering teams.

Aufgaben

• Build and run streaming and messaging platform (Kafka, Kafka Connect, Flink, SQS).
• Drive cost and complexity efficiency of the platform.
• Own reliability of data paths and improve resilience and observability.
• Enable self-service for operational data stores with Terraform modules and tooling.
• Build AI-powered self-service tooling for data infrastructure.
• Raise data quality for operational data and Kafka checks.
• Collaborate with Analytical Data team to ensure seamless data handover.
• Participate in on-call rotations and automate platform operations.

Kenntnisse

Data platform engineering

Go

Java

Scala

Python

Kafka

PostgreSQL

MongoDB

DynamoDB

AWS

Terraform

Kubernetes

Tools

Terraform

Kubernetes

Kafka

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.

We 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.

This 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.

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.

#Data

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