Data Engineer
MOIA
Job Overview
Who's the hiring manager?
Sign up to PitchMeAI to discover the hiring manager's details for this job. We will also write them an intro email for you.
Job Description
About MOIA and the Data Foundation Team
Join MOIA as a Data Engineer in our Data Foundation team and help shape the future of autonomous mobility. The Data Foundation team bridges the gap between raw data and refined data products, providing an accessible and easy-to-use data model. We emphasize collaboration, shared contribution, and enabling other teams to create the data products they need. Our team is small, open-minded, and comprises backgrounds in data engineering, analytics, and data science, fostering open communication, fun, and authenticity.
What You Will Do
- Be an Engineer: Improve custom data operation tooling, focusing on developer experience.
- Work closely with the data platform team to bootstrap new data services, implementing necessary infrastructure while ensuring data security and protection.
- Facilitate standard software practices like CI/CD, test data quality, improve data observability, and ensure data modularity (DevOps mindset).
- Design and implement scalable data pipelines using dbt and Python.
- Be a Team Player: Enable product teams to build their own data products within the data foundation framework.
- Provide support through onboarding sessions, consulting, or documentation.
- Pair with other team members on complex coding challenges or process improvements, maintaining a fun environment.
What Will Help You Fulfill Your Role
You should have a background in data engineering, analytics engineering, or software engineering. Fluency in Python, SQL, and Git is essential, along with a deep understanding of production-grade data engineering concepts such as data contracts, schema evolution, idempotency, and failure-state management. Knowledge of dbt (or similar tools like sqlmesh) in combination with an orchestrator like Airflow or Dagster is highly valued. Experience with semantic layers and tools like CubeJS is a significant plus.
You know how to implement and ship software changes incrementally, with quick iterations and feedback loops, utilizing CI/CD and testing (e.g., GitHub Actions). You are willing to investigate and fix failing services, with experience in observability and monitoring being a nice-to-have. Previous work on infrastructure projects and familiarity with cloud providers such as AWS, GCP, or Azure is important. If "Athena" means more than a Greek goddess's name to you, you'll fit right in. Familiarity with data modeling practices (e.g., Kimball, Star, 3NF, Data Vault) and architecting long-lasting data architecture is also a nice-to-have.
You are comfortable engaging in stakeholder meetings, organizing workshops, reviews, or onboarding sessions with colleagues. You thrive in a small team with close communication, mutual appreciation, and occasional meme exchanges.
MOIA Benefits
- Competitive salary and bonus.
- Hybrid work setup: flexibility to work from home or office.
- Flexible working hours and arrangements (parenting, care work, volunteering).
- Home office budget and monthly expense allowance.
- Remote work from outside Germany for up to 6 weeks/year (35+ countries).
- Fully subsidized "Deutschlandticket" for public transport and MOIA ride discounts.
- Subsidized fitness club membership or bike leasing.
- Continuous learning environment: learning days, job rotation, training, coaching, conferences, books, language classes.
- Mental health support: 1:1 sessions with external professionals and workshops.
- 30 vacation days, sabbatical, and unpaid leave options.
- Relocation support (visa, administration).
- Dog-friendly offices.
Our Commitment to Diversity and Future Work
MOIA is a member of Charta der Vielfalt, actively fostering a diverse and inclusive workplace. We provide unconscious bias training and ensure diverse hiring panels. Our hybrid work approach prioritizes flexibility and self-determination, blending office collaboration with remote work.
Who We Are
MOIA is reimagining the future of mobility, focusing on safe, autonomous solutions tailored for cities. As a tech company with over 400 employees, we build solutions that move cities forward. We launched our ridepooling service in Hamburg in 2019 and are evolving into a tech provider for autonomous driving. Our diverse, international team of 60+ nationalities works from offices in Berlin and Hamburg.
Key Skills/Competency
- Data Engineering
- Python
- SQL
- dbt
- Airflow
- AWS
- Data Modeling
- CI/CD
- Data Observability
- Developer Experience
How to Get Hired at MOIA
- Research MOIA's culture: Study their mission in autonomous mobility, values, recent news, and employee testimonials on LinkedIn and Glassdoor to understand their commitment to urban development and diversity.
- Customize your resume: Highlight experience with Python, SQL, dbt, Airflow, and cloud platforms like AWS, GCP, or Azure, emphasizing data pipeline design, data security, and developer experience for the Data Engineer role.
- Showcase technical prowess: Prepare to discuss production-grade data engineering concepts like schema evolution, idempotency, data contracts, and your approach to CI/CD and data observability in interviews for the Data Engineer position.
- Demonstrate collaboration and impact: Emphasize your ability to enable other teams, facilitate workshops, and contribute to process improvements, aligning with MOIA's collaborative Data Foundation team ethos.
- Connect with MOIA professionals: Network on LinkedIn with current MOIA Data Engineers or data platform team members to gain insights and potentially learn about upcoming opportunities.
Frequently Asked Questions
Find answers to common questions about this job opportunity
Explore similar opportunities that match your background