Ai jobs in Germany

Hamburg, Germany

The Data Lake Platform team provides the secure and self-service foundation for all data at MOIA. We build and operate the central data infrastructure that enables teams to ingest, store, access, and manage data in a compliant and cost-efficient way. Our platform powers everything from product and operational metrics to large-scale unstructured data streams from autonomous driving systems.

By combining automation, governance, and scalable AWS technologies, we make sure MOIA’s data is always trusted, fresh, and privacy-compliant, empowering 25+ teams to build data-driven products with full ownership of their data lifecycle.

Build and operate core data platform applications such as Airflow, QuickSight, Data Export API, and CubeJS to enable self-service and scalable data usage across MOIA.

Design, build, and operate the next-generation multi-tenant data lake on AWS, ensuring scalability, privacy, and performance.

Develop data ingestion, transformation, and access layers using Apache Spark, Iceberg, and AWS services such as Lambda, and S3.

Develop and optimize storage and processing solutions for high-volume unstructured data, ensuring efficient, cost-effective access patterns.

Build internal services that make data discoverable, governed, and easy to consume across MOIA.

Implement data lifecycle and retention policies to meet compliance and GDPR requirements.

Build and maintain infrastructure as code using AWS CDK and TypeScript.

Ensure data quality, security, and observability through automation, monitoring, and alerting.

Collaborate closely with product development, compliance, and security teams to ensure a seamless data experience across MOIA.

A platform mindset — you enjoy enabling others, automating processes, and scaling best practices across teams.

Strong programming skills in Python and familiarity with TypeScript for infrastructure and tooling.

Experience building and operating data-intensive applications in cloud-native environments (preferably AWS).

Familiarity with Apache Spark, Iceberg, and data storage formats like Parquet.

Experience with Infrastructure as Code (CDK or Terraform).

Knowledge of monitoring, CI/CD, and DevOps practices for operating data systems in production.

Familiarity with dbt or similar frameworks for data transformation.

Experience working with data cataloging, access control, or permission management systems.

Experience with data privacy engineering, data retention automation, or data erasure workflows.

Understanding of Iceberg table management and schema evolution best practices.

Experience with SQL for analytical use cases.

We welcome applicants from diverse backgrounds— even if you don’t meet every requirement. If you’re excited about the role and MOIA’s mission, we’d love to hear from you!

• Competitive salary (including bonus)
• Hybrid work setup: Work from home or one of our offices - you and your team decide how often to meet, blending flexibility with collaboration!
• Flexible working hours and the possibility of flexible work arrangements depending on your needs (parenting, care work, volunteering, etc.)
• Budget and monthly expense allowance for home office setup
• Possibility of remote work from outside Germany for up to 6 weeks per year from over 35 countries - learn more in our blog !
• Public transport ticket (fully subsidized "Deutschlandticket") for commuting and travelling throughout Germany and discount on MOIA rides
• Subsidized fitness club membership or bike leasing
• Learning environment with continuous learning days, job rotation, trainings and workshops, coaching, conferences, books, and language classes
• Mental health support, 1:1 sessions with external professionals and mental unload workshops
• 30 vacation days, sabbatical and unpaid leave option
• Relocation support with service provider (visa, administration, etc.)
• Dog-friendly offices

For student & internship positions, we have an adjusted set of benefits. You can find them here .

We are a member of Charta der Vielfalt and are dedicated to actively fostering a workplace that celebrates and promotes diversity in various aspects such as age, gender identity, race, sexual orientation, physical or cognitive ability, and ethnicity. At MOIA, we embrace a culture where people are accepted, respected, valued, appreciated, and included.

In our commitment to promoting diversity and inclusivity, we regularly provide unconscious bias training to all our employees. Furthermore, we continuously strive to enhance our hiring process by ensuring a diverse hiring panel.

Since we love to collaborate, it is clear to us that we don't want to become a fully remote company, but we also don't need to spend every day of the week in the office to do a great job.

Our current hybrid work approach focuses on adapting to different needs, including increased flexibility that works best for the teams and the individuals with as much self-determination as possible.

Get more insights on how we work on our blog to find out more about our hiring process or follow us on Instagram for a look inside MOIA.

At MOIA we’re reimagining the future of mobility – safe, autonomous and tailored to the needs of cities and their people. As a tech company with more than 400 employees, we build mobility solutions that truly move cities forward.

We launched our ridepooling service in Hamburg in 2019 and have been part of the city’s public transport system since 2023. Since launch, we have transported over 12 million passengers. Currently, MOIA is evolving from a mobility provider to a tech provider offering a scalable and safe turnkey solution for autonomous driving .

With office locations in Berlin and Hamburg, our diverse and international team comprising more than 60 nationalities works together toward that shared mission.

MOIA is more than a technology provider – we are a partner to cities and public transport operators committed to creating more livable spaces and delivering mobility solutions that are reliable, safe and comfortable.

We value authenticity and personal insights in your application responses. While AI tools can be useful, we encourage you to answer the following questions based on your own experiences and understanding. This helps us keep a human touch and better evaluate your unique perspective and match for the role.

To reinforce an unbiased screening process, we kindly ask you not to include your picture, age, address, or any other details unrelated to your qualifications and suitability for the role. Additionally, we anonymize applications during the initial review phase by removing personally identifiable information. This ensures that our evaluation focuses solely on your skills, experience, and potential – supporting a fair and inclusive hiring experience for all candidates.

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