ABOUT FUTURAIL

Futurail is a deeptech startup building the autonomy stack for self-driving trains . Our mission is to make rail the most attractive form of transport, by enabling frequent, reliable, low-carbon services powered by autonomous technology.

With our AI-based software stack, we help rail operators and manufacturers run safer and more efficient services, starting in depots and on branch lines, and expanding to mainline operations. Founded by experts in autonomous systems, we're rethinking how millions of people and goods move every day.

We’re backed by leading European investors and already working with mobility players across Europe and the US. As we enter our next phase of growth, this is your opportunity to join a high-trust, high-talent team that’s reshaping rail.

JOB DESCRIPTION

Futurail seeks an experienced Senior Data Engineer to lead the development of our Data Warehouse and Fleet Data Management. In this role, you will build the data backbone for our autonomous train development. You will: shape how we collect, store, and make sense of our autonomous train sensor data, including camera, LiDAR, radar, IMU, GPS, and odometry streams. You will have the opportunity to define standards, design scalable pipelines, and create a discoverable and queryable data platform that directly accelerates our Autonomy, ML, and QA teams.

This is a high-impact role where your decisions will enable faster iteration, better model training, and higher-quality validation for our autonomous system.

KEY RESPONSIBILITIES

• Design, implement, and operate secure, scalable data pipelines from ingestion to visualization that handle large sensor data.
• Build and evolve the core data infrastructure (data lake, warehouse, and metadata layer), enabling efficient storage, retrieval, and analysis at scale.
• Create searchable metadata models and indexing strategies so engineers and ML teams can discover and filter datasets effectively.
• Collaborate with Autonomy, ML, QA, and platform teams to understand data needs and provide APIs, catalogs, and efficient tooling for easy access.
• Define and implement data quality standards, validation checks, and security/privacy safeguards.
• Optimize storage, processing, and query performance while balancing cost and scalability.

REQUIREMENTS

• 5+ years of experience in data engineering, backend systems, or related fields, ideally building large-scale, high-throughput data pipelines.
• Strong proficiency in Python and experience working with databases and query languages (e.g., SQL or equivalent), with a track record of building reliable ETL workflows, data models, and efficient queries for large datasets.

BENEFITS

• High-impact role: Have real ownership and visibility from Day 1.
• Learning & development: We are committed to your continuous development and offer support tailored to your role and growth path.
• Competitive compensation package : We offer a competitive salary, including a virtual stock option program for full-time employees.
• Office in Werk1 - the most start-up friendly space in Munich: A cool and modern office in Munich's Werksviertel, with regular community events like weekly team lunches, monthly breakfasts, after-work events, and much more!.

Join us as a Senior Data Engineer on our journey and contribute to sustainable transportation for the future. If you are interested, please submit your application through this.

We look forward to hearing from you!