Data Engineer (m/f/d)

Company Description

Flink is the leading quick commerce player in Europe. We are on a mission to give people back time: You can order your groceries through our app and we deliver to your doorstep in minutes. We carry 2,500 products with focus on the leading brands in each category. We aim for sustainability by making deliveries on electric bikes and utilizing recyclable packaging.

Flink launched in February 2021 and already operates in more than 80 cities in Germany, the Netherlands and France. The business generated more than EUR 400m in revenues in 2022 and is operationally profitable. Flink is backed by the world’s most renowned tech investors, including Prosus, Mubadala and Bond as well as strategic investors like Doordash and REWE.

We take great pride in being an inclusive employer that offers equal opportunities, and we celebrate the diversity and multiculturalism of our team. We're growing fast and always pushing ourselves to do better - we play for #1.

In your role as Data Engineer (m/f/d), you play a key role in building and enhancing the Data Platform of Flink. You will find yourself in a modern Data Engineering environment, working in the central Data Engineering team, using state-of-the-art technologies hosted on Google Cloud platform.

You can expect to work on business-critical projects in close collaboration with various Flink stakeholders as well as with our Data Scientists. Get ready to be immersed in the fast-paced environment of quick commerce where data is a first-class citizen.

Job Description

• Work closely with other Data Engineers, Data Scientists, Product Managers, and Operations professionals to build up our internal data products which contribute to the efficiency of the business
• Contribute to the evolution and decentralization of our Data Platform using state-of-the-art technologies
• Assist with the design and implementation of a robust data quality and observability framework over our data products
• Develop and evolve our backend services which consume, transform and process data from different internal/external systems
• Build and evolve frameworks to enable non-technical stakeholders to view the status and manually trigger pipeline jobs
  
  

Qualifications

• 2-3 years of experience in a Data Engineering or data-centric Software Engineering role
• Strong Python 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
• Basic experience and understanding of of CI/CD, Kubernetes, Infrastructure As a Code & dbt are a plus
• Passionate problem solver, ability to think independently and proactively to find solutions
• Very good communication skills in English (spoken & written)
  
  

Additional Information

• 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 30 EUR per month with NAVIT, which you can use individually for Uber, BVG and many other providers
• A cool discount on your Urban Sports Club membership
• Attractive company pension options
• Unlimited access to an e-learning and development platform, MyAcademy, 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.