Data Engineer (m/f/x)

About FINN

FINN is an independent platform for car subscriptions from over 30 brands. Subscribe to a car with just a few clicks and it will be delivered directly to your doorstep in just a few days: FINN offers a carefree service and handles insurance, financing, registration, taxes and maintenance. FINN also funds climate action by supporting certified climate protection projects and thus offsets the carbon footprint of every vehicle of all drive types – from production to every mile driven.

FINN was founded in Munich in 2019. The mission: to have a positive impact on people, organizations and the planet through frictionless mobility.

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Your Role

As a Data Engineer at FINN, you’ll take on an expert role within our core Data Platform team. You'll play a key part in shaping, designing, implementing, and maintaining a state-of-the-art data platform – empowering our analytics and business teams to unlock insights and drive value from FINN’s data!

• Flexibility to work either in our Munich office or remotely ±3 hour of the CET/CEST timezone.
• Relocation support for you and your family.
• Excellent fixed salary, significant virtual equity share of the company, along a yearly personal development budget of 1,500€.
• Flexible working hours, Kindergarten and daycare allowance (up to 300€ per child per month).
• Access to discounted gym memberships and a range of attractive mobility benefits – from exclusive deals on FINN cars to other flexible commuting options.
• An open-minded community to be welcomed from day one and fun team events with amazing colleagues.

• Build the base of FINN's decisions by your data platform : Your ultimate goal will be to create a top-notch data platform that enables analysts to get fast insights aligned to their needs. Since every bit of FINN's data will flow through your data platform, you will be responsible of the data warehouse architecture and the design principles of the data pipelines.
• Share your technical expertise : Play the driving technical role across different data teams.. You will be able to share your technical knowledge and engineering best practices, as well as shape technical discussions to deliver the best possible solutions.
• Act as an internal consultant : As a Data Engineer you will work with all of FINN’s data. Partner and engage with software engineers, data analysts and members of the senior management team to help providing insights and recommendations in their respective business areas.
• Impact FINN’s global expansion : Onboard new regions to our consistent data architecture and find solutions to ensure and sustain scalability.

• 2+ years of data engineering experience delivering scalable, production-grade data systems.
• 3+ years of hands-on experience with SQL and Python for data transformation, orchestration, and automation.
• 2+ years of experience working with Google Cloud Platform (GCP), including services like BigQuery, Cloud Storage, Pub/Sub, or Dataflow/Dataproc.
• 1+ years of experience working in MLOps, including model deployment and monitoring of ML pipelines in production environments.
• Proven experience building and maintaining data platforms, including CI/CD workflows, data pipelines, orchestration systems, and infrastructure-as-code.
• Familiar with data warehousing and data modeling concepts, modern data formats (e.g., Parquet, Avro), and performance optimization strategies.
• Strong growth mindset and the motivation to continuously improve self and team performance.
• Previous experience in an agile development team is a plus.
• Fluency in English.

Interested in Joining Our Fast-Growing Startup?

Please upload your CV and transcripts online. André and Anna are looking forward to your application!

Equal Opportunities for Everyone

FINN is an equal opportunity employer. We embrace and celebrate diversity and are committed to creating an inclusive environment for all employees. We are open to all groups of people without regard to age, color, national origin, race, religion, gender, sex, sexual orientation, gender identity and/or expression, marital status, or any other legally protected characteristics.