Senior Data Engineer

Summary

Join Apaleo and help build the infrastructure and pipelines that transform raw data into actionable insights for internal teams and customers. Design, build, and maintain robust, scalable data pipelines; collaborate with various teams to understand data needs and deliver reliable datasets and models; develop and optimize data lake and warehouse infrastructure; ensure data quality, consistency, and security; build tools for self-service analytics; support experimentation and reporting pipelines; continuously improve the data stack's performance, cost-efficiency, and scalability; and help shape data governance practices. This role requires 3+ years of experience as a Data Engineer working with cloud-based infrastructure and distributed systems, strong Python and SQL skills, and a solid understanding of modern data stack components. Apaleo offers a diverse and international team, flat hierarchy, flexible structure, fair compensation, flexible working style, engaging team events, 30 days of vacation, free public transportation in Munich, and access to an EGYM Wellness Pass.

Requirements

• 3+ years of experience as a Data Engineer, working on cloud-based infrastructure and distributed systems
• Strong Python and SQL skills; experience with orchestration tools like Airflow or Dagster is a big plus
• Solid understanding of modern data stack components (e.g., dbt, Snowflake, Fivetran, Kafka, etc.)
• Experience with event-driven architectures and real-time data processing (Kafka, Kinesis, or similar)
• Familiarity with version control, CI/CD, testing frameworks for data, and production-ready environments
• A strong problem-solver with a product mindset — you care about enabling internal users and building clean, reliable systems
• Excellent collaboration skills — you know how to work cross-functionally in a fast-paced, agile setup

Responsibilities

• Design, build, and maintain robust, scalable data pipelines (batch and real-time) that support our internal analytics and data products
• Work closely with Product, Engineering, and Commercial teams to understand data needs and deliver reliable datasets and models
• Develop and optimize our data lake and warehouse infrastructure (e.g., Redshift, Snowflake, or similar)
• Ensure data quality, consistency, and security, especially in a high-growth, high-volume SaaS environment
• Build tools to enable self-service analytics and empower Apaleo teams and customers to make data-driven decisions
• Support experimentation and reporting pipelines across multiple departments (marketing attribution, product usage, financial metrics, etc.)
• Continuously improve performance, cost-efficiency, and scalability of our data stack
• Help shape and evolve data governance practices, documentation, and architecture decisions

Preferred Qualifications

Fluent in English; German is a nice bonus but not required

Benefits

• A Diverse & International Team – Work alongside passionate experts from various disciplines and backgrounds, fostering a truly global perspective
• Flat Hierarchy & Flexible Structure – Enjoy autonomy and ownership in an environment that values collaboration over rigid hierarchies
• A Key Role in a Fast-Growing Startup – Be part of one of the most promising international startups in the hospitality industry, right in the heart of Munich
• Fair & Transparent Compensation – Benefit from a clear peer review system and career progression plan designed to reward your growth
• Flexible Working Style – We support flexible hours and remote work, depending on the role
• Engaging Team Events – Join us for cocktail club nights, team dinners, meet-ups, and the legendary Oktoberfest celebrations!
• 30 Days of Vacation – Recharge and enjoy a generous annual leave policy
• Free Public Transportation in Munich – We’ve got your commute covered!
• Access to EGYM Wellness Pass – enjoy a variety of fitness and wellness studios to support your physical and mental well-being