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

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

Zusammenfassung

A mobility solutions provider in Hamburg is seeking a (Senior) Analytics Engineer to join the GeoSpatial Analytics team. The role involves designing real-time data pipelines, building analytical models, and transforming data into actionable insights for autonomous vehicles. Applicants should have a background in data engineering, proficiency in SQL and Python, and possess excellent stakeholder management skills. This position offers a competitive salary, a hybrid work setup, and a range of benefits including subsidized transport and wellness support.

Leistungen

Competitive salary (including bonus)

Hybrid work setup

Flexible working hours

Home office setup allowance

Remote work options

Public transport ticket

Fitness club membership or bike leasing

Continuous learning opportunities

Mental health support

30 vacation days

Relocation support

Dog-friendly offices

Qualifikationen

• Experience in maintaining and developing data architecture.
• Ability to work cross-functionally and manage stakeholders.
• Passion for analyzing vehicle operation processes.

Aufgaben

• Design and maintain real-time data pipelines for geospatial data.
• Build and validate statistical and machine learning models.
• Transform complex business questions into clear data models.

Kenntnisse

Data Engineering

Understanding vehicle/fleet operations

Knowledge of REST and OGC standards

Proficiency in SQL

Proficiency in Python

Experience with Cloud Services (AWS, Azure, GCP)

Experience with data pipelines (Airflow)

Stakeholder management

Fluent English skills

Ausbildung

Background in Data Engineering

Jobbeschreibung

Hamburg, Germany

Join us as a (Senior) Analytics 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're the team that builds data products to ensure the smartest routing decisions for our self‑driving vehicles, taking into account all possible influencing factors. Our aim is making self‑driving vehicles 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 team work

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

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

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.