The Data Applications Platform team is at the heart of MOIA’s data ecosystem. We build and operate the core applications and APIs that make data accessible, usable, and actionable across the company. Our mission is to empower over 25 teams to work independently and effectively with data by providing robust, scalable, and developer-friendly platforms.
We own and maintain key products like Airflow, QuickSight, Data Export API, and CubeJS. Our team focuses on automation, tooling, and application development on AWS to ensure that data at MOIA flows securely, reliably, and at scale.
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, implement, and maintain APIs and platform services, with a strong focus on reliability, performance, and developer experience.
Develop and deploy serverless and containerized applications using AWS services like Lambda, API Gateway, ECS/Fargate, EKS, and S3.
Automate infrastructure provisioning using Infrastructure as Code and ensure secure, scalable, and observable systems.
Collaborate with teams across multiple domains, helping them integrate with and build on top of the platform.
Contribute to our team’s learning culture by sharing knowledge, mentoring, and participating in learning days.
Strong programming skills in Python and familiarity with Golang and OpenTofu/Terraform.
Experience designing, building, and maintaining APIs and platform services in cloud-native environments.
Experience building and operating applications in cloud-native environments (preferably AWS).
Experience with Infrastructure as Code (CDK or Terraform).
Exposure to job orchestration frameworks such as Airflow or similar.
Knowledge of monitoring, alerting, scalability, CI/CD, and DevOps practices for operating data systems in production.
Excellent communication skills and a platform mindset, you enjoy enabling other teams and driving shared success.
You're curious and driven, to tackle data problems and take full ownership from idea to production.
Nice-to-Haves:
Experience with visualization tools such as QuickSight or similar.
Familiarity with observability practices (metrics, tracing, logging).
Experience with authentication and authorization for APIs.
Background in data products or platform engineering.
Experience with golang.
Understanding of modern API design principles and performance optimization.
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.
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.
At MOIA, our teams are typically distributed across locations and collaborate in a hybrid setup. We work together both remotely and on site, choosing the mode of collaboration that fits the context, the work at hand, and each team’s rhythm.
Spending time together in our offices is an important part of how we stay connected, build trust, and solve complex problems. At the same time, we value flexibility and give teams and individuals autonomy to shape their ways of working, with everyone having the freedom to organise their routines in a way that aligns with their work and their team’s needs.
If you’d like to learn more about how we work, visit our blog for insights into our culture and hiring process, or follow us on Instagram for a look behind the scenes at 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.
