(Senior) Data Engineer (m/f/d) GeoSpatial Analytics

MOIA; Hamburg; Hybrid; EUR 60.000 - 85.000; Vollzeit

Zusammenfassung

A mobility technology company in Hamburg seeks a (Senior) Data Engineer to enhance its GeoSpatial Analytics team. This role involves maintaining and developing real-time data pipelines, designing data architecture, and collaborating cross-functionally to support autonomous mobility solutions. The ideal candidate will have a background in Data Engineering, proficiency in SQL and Python, and experience with cloud services. The company promotes diversity and offers a hybrid work setup along with a comprehensive benefits package.

Leistungen

Competitive salary (including bonus)

Hybrid work setup

Flexible working hours

Home office setup allowance

Remote work from outside Germany

Subsidized public transport tickets

Fitness club membership

Continuous learning opportunities

Mental health support

30 vacation days

Relocation support

Dog-friendly offices

Qualifikationen

• Experienced in implementing and orchestrating robust data pipelines.
• Ability to analyze vehicle and fleet operation processes.
• Strong communication skills for stakeholder collaboration.

Aufgaben

• Maintain and develop the data architecture in the team.
• Design, build, and maintain real-time data pipelines.
• Productionalize data products built in the team.

Kenntnisse

Data Engineering

SQL

Python

Cloud Services (AWS, Azure, GCP)

Stakeholder management

Fluent English

Ausbildung

Background in Data Engineering

Tools

Airflow

Jobbeschreibung

Hamburg, Germany

Join us as a (Senior) Data Engineer (m/f/d) in our GeoSpatial Analytics team and help shape the future of autonomous mobility!

At MOIA, you’ll be joining the GeoSpatial Analytics team – a smart, driven, and fun group of people who care deeply about using data to shape the future of mobility. We build data products to ensure the smartest routing decisions for our self-driving vehicles, taking into account all possible influencing factors. Our aim is to make self-driving vehicles a reality. We are convinced that data is at the heart of it all.

We build reliable, scalable data products and analytical models that empower decision-makers across MOIA. As part of our team, you’ll help transform raw data into actionable insights — uncovering patterns, explaining performance, and driving improvements in our self-driving fleet operations.

What We Do

Work cross-functionally with teams across MOIA to understand diverse data needs

Own and evolve the dynamic layers of the service geonet to ensure smart, data-driven routing

Build and validate statistical and machine learning models (e.g., predicting failures and performance)

Turn complex business questions into clear data models, KPIs, and metrics

Share knowledge and support teams in the Fleet domain

What you will do

Maintain and develop further the current data architecture in the team

• Design, build, and maintain real-time data pipelines to deliver dynamic geospatial data layers

Productionalize data products built in our team

Ensure smooth and efficient communication with the tech platforms across the company

Pairing with other team members on complex coding challenges or process improvements is essential for our teamwork

What will help you to fulfill your role

Background in Data Engineering;

Passion for understanding and analyzing vehicle/fleet operation processes in the exciting field of Autonomous Driving;

Knowledge of REST and OGC standards (WMS, WFS, WMTS);

Proficiency in SQL and at least one modern programming language, preferably Python;

Proficiency with Cloud Services (AWS, Azure, GCP, etc.);

Experience in implementing and orchestrating robust data pipelines (Airflow or similar);

High level of self-organization and agency in prioritization and decision-making;

Enthusiasm for knowledge sharing and maintaining T-shaped developer profiles in the team;

Excellent stakeholder management and communication skills, with the ability to work closely with source teams to understand event streams, business processes, and data signals;

A keen eye for identifying edge cases and structural issues in event or signal data, and the confidence to advocate for upstream changes when necessary.

• Fluent English skills, both written and verbal

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!

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.

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 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.

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 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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