- Architect & Scale: Own the development of our transformation layer (dbt) and downstream surfaces (Looker/Lightdash). You will identify technical debt and implement modern approaches to ensure our foundations remain performant and easy to extend.
- Deep Stakeholder Partnership: Move beyond being an "executor of requests." You will work closely with business leaders to deeply understand their problems and proactively shape the data solutions they need.
- End-to-End Domain Ownership: Lead and evolve a major portion of our reporting landscape. You will be responsible for the health, accuracy, and roadmap of the data models serving our core business functions.
- Raise the Quality Bar: As a member of a growing team, you will champion engineering best practices: CI/CD, robust testing, and version control.
- Bridge Business & Tech: Act as the technical liaison between Product/Engineering and the business, ensuring our data infrastructure evolves in sync with our product growth without needing day-to-day oversight.
- A Business-First Engineer: You believe great analytics engineering starts with understanding the "why." You enjoy diving into the nuances of operations and finance to build better models.
- An Expert in the Modern Data Stack: You have extensive experience with SQL, dbt, and Looker (or similar BI tools), and a deep understanding of cloud data warehouses.
- Quality Obsessed: You take pride in building "trusted" data. You are an advocate for clean code, documentation, and rigorous testing.
- Strategic Communicator: You possess excellent English communication skills and the ability to drill down complex technical topics into actionable insights for business stakeholders.
- Expert in Data Modeling: You have mastery over SQL (preferably Google BigQuery) and extensive experience modeling tables with large, complex datasets. You understand how to build a transformation layer that is both performant and scalable.
- Proficient with the Modern Data Stack: You have proven experience using dbt to build robust SQL models and are comfortable working within Looker (including writing LookML) to build intuitive downstream surfaces.
For this role as an Analytics Engineer (m/f/d), the starting remuneration is as follows:
The base pay for this position is 65,000.00 - 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
- 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.
