(Senior) Analytics Engineer developing scalable analytics data models using dbt in Snowflake, collaborating with AI and BI teams.
Responsibilities
Responsible for developing, enhancing, and maintaining modular, scalable analytics data models with dbt in our Snowflake data warehouse — with a clear focus on business relevance and reusability.
Building and extending automated tests, validations, and monitoring mechanisms to ensure high data quality, consistency, and availability.
Closely collaborating with AI, BI, and other business teams to translate business requirements into clean analytics solutions.
Actively shaping our analytics architecture (ELT, dbt standards, naming, testing, documentation) and contributing new ideas, technologies, and best practices.
Promoting a strong analytics engineering culture through code reviews, knowledge sharing, and mentoring.
Requirements
Degree in Computer Science, Business Informatics, Statistics, Mathematics, or a comparable qualification.
Several years of professional experience in analytics engineering, data engineering, or business intelligence.
Strong proficiency in Snowflake and dbt for data modeling.
Experience with Power BI or other BI tools for building dashboards and reports.
Excellent SQL skills and a solid understanding of ELT/ETL processes.
Ideally, experience in the e‑commerce sector and a good understanding of data-driven business models.
Strong analytical skills and a structured, solution-oriented, and independent working style.
Fluent in German and English.
Benefits
30 paid vacation days — which you can take at any time in coordination with your manager.
Additional company-wide public holidays.
Flexible working hours with no fixed core hours.
Hybrid work with up to 100% remote work.
Work with top equipment (macOS or Windows) — plus extensive gear for mobile/remote work.
Training courses, conferences, or books — we support your professional development.
Modern offices in the heart of Düsseldorf and Hamburg with excellent public transport connections and convenient local infrastructure.
A fully equipped kitchen and, in Düsseldorf, a massage chair and a private gym — all free for employees.
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