Senior Data Engineer (m/f/d)

• You build and maintain scalable ETL/ELT pipelines that support analytics, BI, and machine learning across the company.
• You develop and manage a clean data layer that powers BI tools and enables and streamlines self-service reporting.
• You analyze large datasets to uncover trends and anomalies, developing hypotheses to drive revenue growth and identify new opportunities.
• You work with data scientists, analysts, and business teams to ensure the right data is modeled and accessible.
• You architect and optimize our data infrastructure (eg, data warehouse, orchestration tools) to support both real-time and batch processing at scale.
• You ensure data quality, lineage, and access control through monitoring and governance practices.
• You stay current with data engineering advancements, incorporating cutting-edge techniques into analytics and products.
• You collaborate across teams, lead in data engineering best practices, and mentor team members for continuous improvement.

• You show real seniority in data engineering with real-world data. This seniority is not defined by years of experience but by striving for continuous improvement, direct impact on the business, and ownership.
• You have a degree in a relevant field such as computer science, statistics, mathematics, physics, engineering, or a related quantitative discipline.
• You strive for a deep understanding of data and underlying processes. You have strong problem-solving skills and a keen analytical mindset.
• You have proven experience in designing and building scalable data pipelines, data models, and platform components to support analytics and reporting.
• You are highly skilled in Python and SQL, have a strong grasp of data engineering libraries and frameworks (eg, PySpark, SQLAlchemy), and understand how to optimize data systems for reliability, performance, and usability.
• You have hands-on experience with cloud platforms, modern data warehouses, and NoSQL databases. Experience with Amazon Redshift is a plus.
• You are familiar with orchestration and transformation tools (eg, Airflow, dbt), and are comfortable working with BI platforms like Tableau.
• You work effectively in a collaborative, cross-functional team environment.
• You have excellent written and spoken English skills (level C1).

• 40 hours per week (trust based)
• Home Office Policy: 3 days in the office / 2 days remotely
• Unlimited (permanent) employment contract
• MacBook Pro and curved monitor in the office
• Partner with our CTO & Head of Product (Ph.D. Data Science) for maximum revenue impact
• Location: Munich

• Your Ideal Setup: MacBook (M4 Pro, 48GB Ram) and a 37-inch curved screen.
• Dynamic Culture: Enjoy a true startup atmosphere with flat hierarchies, agile teams, and a diverse, international group of colleagues.
• Flexibility: Benefit from flexible working hours and the option to work from home or our state-of-the-art Munich office with standing desks.
• Competitive Compensation: A strong competitive salary that recognizes your expertise.
• Future Planning: A solid company pension plan.
• Foodie Perks: Daily meal allowance, weekly free team lunch, a well-stocked cereal bar, and complimentary drinks.
• Health & Wellness: Job bike program and access to premium sports and fitness facilities via EGYM Wellpass or Urban Sports Club membership across Germany.
• Continuous Growth: Ample professional development opportunities to sharpen your skills.
• Language Support: German language learning opportunities.
• Exclusive Discounts: Enjoy special discounts on various branded products through corporate benefits.

Interested in joining our team? Apply now and be part of something great!