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Flink is seeking a Data Engineer (m/f/d) in Berlin to help build and enhance the Data Platform and ML Platform on Google Cloud. You will work with Data Engineers, Data Scientists and Product teams to deliver scalable data products and pipelines that power business decisions.
The role requires strong Python/SQL, Airflow, BigQuery, Pub/Sub, and Terraform experience. Join a modern, dog-friendly Berlin office with a generous learning budget and comprehensive benefits.
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.
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:
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.