Data Engineer

Data Engineer Fully remote within Germany or Hybrid in Bremen Full-time, Permanent About the Company We build production-grade software designed around intelligence. Not as a plugin. Not as a feature. As a core part of the system itself. We designed our proprietary specifications and state-of-the-art methodology to build products where reasoning, automation, and adaptive logic are integral to the foundation, not an afterthought. Role Summary You will take ownership of our technical data domain and help shape a young, modern data architecture. You will work with a current tech stack, including a Data Warehouse, Airflow, and dbt, enabling you to make an immediate impact. Your work ensures that our data is stable, consistent, and ready for meaningful use, helping us understand what restaurants need and how we can support them. Responsibilities Identify and integrate relevant data sources so they are structured, consistent, and reliably usable Provide data to internal teams and create clear dashboards and reports Maintain, monitor, and develop our data infrastructure (Airflow, dbt, Clickhouse, Metabase) Ensure data stability, traceability, and overall quality, including analysing and resolving data issues Build data pipelines and data models that enable accurate analysis and reporting Support data analysis and ensure correct interpretation and meaningful use of data Must-Have Requirements 4+ years of experience in the data field, ideally in a startup or small team with end-to-end ownership Strong skills in SQL and Python , plus experience with Airflow , dbt , and Data Warehouses (e.g., Clickhouse ) Deep understanding of data models, pipelines, data quality, and data infrastructure Independent, structured, and proactive working style with clear communication Fluency in English - Conversational German appreciated Nice-to-Have Qualifications Experience developing young infrastructures into robust, scalable systems Strong problem-solving mindset with a focus on long-term stability Ability to bring clarity and structure to complex data challenges What We Offer The opportunity to shape and evolve our young data landscape Modern infrastructure with Data Warehouse, Airflow, dbt, and a current tech stack Full ownership of the data domain and an advisory role in data decisions A collaborative product environment with engineers, designers, and business teams A technical sparring team for support, plus developers managing server and DevOps topics Close collaboration with the leadership team and the chance to make a visible impact quickly A meaningful mission where clarity, quality, and impact matter Egym Wellpass across Germany and high-end hardware for smooth work Competitive Salary (experience-based) Hiring Process Our hiring process typically includes an initial conversation, a technical interview or task, and a final discussion with the team. We aim to keep the process transparent, respectful of your time, and focused on mutual fit. Equal Opportunity Statement We are an equal opportunity employer. We welcome all qualified applicants and do not discriminate on the basis of age, gender, sexual orientation, religion, ethnicity, disability, or any other protected characteristic.