Analytics Engineer (m/f/d) - Data Foundation

Join us as a Analytics Engineer (m/f/d) in our Data Foundation team on a shared journey that matters!

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 looking for an Analytics Engineer (also known as Data Engineer) to join our team. 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.

What you will do

Be an engineer!

• Implement new data pipelines with dbt and python, facilitating standard software practices such as CI/CD, testing data quality, and ensuring data modularity across the board (devops mindset). 
• Work closely with members of our data platform to bootstrap new data services, implementing infrastructure as needed while ensuring data security and data protection.

Be an architect!

• Translate business questions into meaningful data models and metrics (KPIs).
• Design and conceptualise new data assets as part of our overarching analytical layer, having reusability and ease-of-use in mind.
• Develop and improve our data modelling framework in close collaboration with other data teams.

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.

What will help you to fulfill your role 

• You have a background in data engineering or similar domains such as analytics engineering, business analytics, data science or software engineering.
• You have experience translating business needs into meaningful data models and metrics, bridging the gap between raw data and actionable insights.
• You know the difference between a “left join” and “inner join”, and don’t faint when thinking about window calculations. Python is a big plus, but not a deal breaker if your knowledge is limited.
• You have worked with ETL frameworks in the past, and you know how to implement and orchestrate solid data pipelines. We especially look for people with knowledge in dbt (or similar tools like sqlmesh) in combination with an orchestrator such as Airflow or Dagster.
• You are familiar with data modelling 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 have worked on infrastructure projects in the past, and you know your way around cloud providers such as AWS, GCP, or Azure. If “Athena” is more than a Greek goddess’s name to you, we are going to be friends.
• 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).
• 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 encourage you to apply even if your profile does not meet all the requirements for the role since we are looking for a diverse range of experiences, skills, and interests. We are certain that there will be something for everyone because we are working on such a variety of tasks and embrace individual growth at MOIA.

In case you have questions regarding your application, you can approach the recruiter Patty directly.

Our benefits in a nutshell

• 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. 

Be who you are!

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.

Our Future Work model

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. 

Who we are

At MOIA GmbH, our team of more than 350 employees develops the technical products for our on-demand ridepooling service in the form of an end-to-end integrated product, from hub, fleet, and driver management to passenger and B2B solutions. At the same time, we want to make the vision of an autonomously driving mobility service a reality and plan to bring the first autonomous MOIA ridepooling vehicle to the streets by 2025.  

At our offices in Berlin and Hamburg, international teams of developers, engineers, designers, and strategists work on a shared mission. As a tech company, more than half of our employees are developers. We pursue value-driven development based on our product values of comfort, reliability, safety, and privacy. 

We aspire to be a leading company in the fields of rethinking mobility and improving urban transportation by making it more relaxed, more affordable and an entirely positive experience for everyone. 

MOIA gets things moving. On a shared journey – towards an easier, smarter, and more meaningful future. 

Watch our company video here.

Your application to MOIA

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 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.