Job
In diesem Job entwickelst du die Transformationsschicht mit dbt und die Reporting-Oberflächen in Looker, während du eng mit Stakeholdern zusammenarbeitest, um maßgeschneiderte Datenlösungen zu gestalten und Qualitätsstandards zu gewährleisten.
Job-Technologien
Deine Rolle im Team
- 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.
Unsere Erwartungen an dich
Qualifikationen
- 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.
- 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.
Erfahrung
- 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.
- 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.
Unser Angebot
- For this role as a Senior 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.
Themen, mit denen du dich im Job beschäftigst
Job-Standorte
Das ist dein Arbeitgeber
flink ist eine digitale Projektmanagement-Software, entwickelt von MAP Consulting & Solutions GmbH. Sie unterstützt Unternehmen auf ihrem Weg in die digitale Zukunft. Das Team verfügt über langjährige Erfahrung als Berater, Entwickler und Unternehmer – steht Ihnen gerne zur Seite!
- 1-49 Mitarbeitende
- 2015
- Startup
- Hybrid, Onsite
- Internet, IT, Telekom
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