We are Flink - your online supermarket revolutionising the way you do your grocery shopping. With a wide selection of over 2,400 high-quality products, we aim to deliver to your door in minutes. We put our customers first and ensure all products delivered are fresh and nutritious. Additionally, we can customise our national assortment to be able to offer you unique local products in every city. Our delivery hubs are located in densely populated inner-city locations and we strive to be sustainable by delivering on electric bikes and using packaging that can be recycled.
Founded by experienced e-commerce professionals and seasoned entrepreneurs with exceptional track records, backed by some of the most renowned Global investors, we are growing rapidly and have a great hunger to continuously challenge ourselves. We pride ourselves in being an inclusive and equal opportunities employer with a diverse and multicultural team.
If you want to be part of this exciting journey… read on!
In your role as Data Engineer (m/f/d), you will play a key role in building and enhancing the Data Platform & ML Platform of Flink. You will find yourself in a modern Data Engineering environment, working in the central Data Platform team, using state-of-the-art technologies hosted on Google Cloud Platform.
Job Description- Work closely with other Data Engineers, Data Scientists, Analysts, Product Managers and Operations professionals to build and run the data products and pipelines that contribute to the efficiency of the business
- Build and evolve the services and pipelines that ingest, transform and process data from internal and external systems (batch and streaming) into BigQuery, using Python, Airflow, dbt and Pub/Sub
- Contribute to a robust data quality and observability framework over our data products, and help keep critical data complete and reliable through monitoring, alerting and an on-duty rotation
- Evolve our Data Platform infrastructure as code (Terraform on GCP), including access control, cost-efficient BigQuery design and GDPR compliance
- Use and build AI tooling (AI coding agents, skills, MCP servers) that speeds up our own work and enables other teams to use the Data Platform self-serve
- 3+ years of experience in a Data Engineering or data-centric Software Engineering role (more for senior level)
- Strong Python and SQL skills, especially in the context of building data pipelines and interacting with REST APIs, (non-)relational databases etc.
- Hands-on experience with Apache Airflow for orchestrating data workloads
- Hands-on experience with (Google) Cloud Platform data solutions and services, such as BigQuery, Pub/Sub and Cloud Storage
- Experience with CI/CD and Infrastructure as Code (Terraform or Config Connector); dbt, Kubernetes and streaming are a plus
- You use AI coding tools (e.g. Claude Code, Codex) in your daily work and are excited to push how AI changes data engineering
- Passionate problem solver, able to think independently and proactively to find solutions
- Very good communication skills in English (spoken & written)
For this role as Data Engineer (m/f/d), the starting remuneration is as follows:
The base pay for this position is 62,000.00 - 75, 000.00 EUR gross for full time (40 hours per week).
In addition, FLINK offers the following benefits:
- A €1000 annual L&D budget as well as individual coaching options to ensure you have plenty of opportunities to learn, grow and achieve your goals
- 26 days of vacation, +1 day every year up to a maximum of 30 days
- A mobility budget of 35 EUR per month for Deutschland Ticket subsidy
- A discount on your Urban Sports Club membership
- Bike leasing through JobRad
- Attractive company pension options
- Unlimited access to an e-learning and development platform, Prosus Academy, including online German courses
- Online discounts with Corporate Benefits and Future Bens
- A cool discount off your personal Flink orders; be the first to test out new products!
- A modern and dog-friendly office in the heart of Berlin - lots of delicious lunch spots available within short walking distance
It is our commitment that every applicant will be evaluated according to their skills regardless of age, gender identity, ethnicity, sexual orientation, disability status, or religion.
