M
(Senior) Data Engineer (all genders) - Data Foundation
Munich, GermanyPosted 1 month agoInternship
Data EngineeringData Pipelines
Company
Moia
Location
Munich, Germany
Employment type
Internship
Seniority
Senior
Primary category
Data Engineering
Secondary category
Data Pipelines
Posted date
23 Feb 2026
Valid through
24 Apr 2026
As the Data Foundation team, we aim to bridge the gap between raw data and refined data products. We want to bring meaning to data by providing an accessible and easy-to-use data model. Collaboration stands at the heart of what we do, and we strongly believe in shared contribution and the enablement of other teams to create the data products they need.
We are a small and open-minded bunch of people with backgrounds in data engineering, analytics, and data science. We thrive on open communication, fun at work, and authenticity for everyone.
Be an Engineer!
Improve our custom data operation tooling with a focus on developer experience.
Work closely with members of our data platform to bootstrap new data services, implementing infrastructure as needed while ensuring data security and data protection.
Facilitate standard software practices such as CI/CD, test data quality, improve data observability, and ensure data modularity across the board (DevOps mindset).
Design and implement scalable data pipelines with dbt and python.
Be a team player!
Enable product teams to build their own data products within the data foundation framework and support them with onboarding sessions, consulting, or documentation.
Pair with other team members on complex coding challenges or process improvements while ensuring a fun environment for everyone.
You have a background in data engineering or similar domains, such as analytics engineering or software engineering.
You are fluent in Python, SQL, and Git, with a deep understanding of production-grade data engineering concepts such as data contracts, schema evolution, idempotency, and failure-state management. We especially look for people with knowledge in dbt (or similar tools like sqlmesh) in combination with an orchestrator such as Airflow or Dagster.
A big plus is knowledge of semantic layers and experience with tools like CubeJS.
You know how to implement and ship software changes in small increments, with quick iterations and feedback loops, making use of CI/CD, testing using, for example Github Actions. You are willing to jump in, investigate, and fix failing services (nice to have: experience with observability and monitoring).
Nice to have: You are familiar with data modeling practices (e.g., Kimball, Star, 3NF, Data Vault) and how to architect long-lasting and lightweight data architecture. If you bring us to new dimensions, we’ll bring the facts.
You don’t hesitate to jump into stakeholder meetings, organizing workshops, reviews, or onboardings with our colleagues who are closest to us.
You feel comfortable in a small team with close communication circles, big appreciation for each other, and the occasional meme ping-pong. It’s going to be fun - we promise.
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!
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.