(Senior) Analytics Engineer (m/f/d) - Fleet Analytics

MOIA; Berlin; Hybrid; EUR 65.000 - 85.000; Vollzeit

Zusammenfassung

A leading mobility tech company based in Berlin is seeking a Senior Analytics Engineer to join their Fleet Analytics team. You will be responsible for architecting scalable data pipelines and collaborating with stakeholders to drive analytical insights. The ideal candidate will have a strong background in data engineering, proficiency in SQL and Python, and experience with tools like DBT and Airflow. This role offers a competitive salary and a hybrid work environment.

Leistungen

Competitive salary

Hybrid work setup

Flexible working hours

Budget for home office set-up

Public transport ticket

Subsidized fitness membership

Continuous learning opportunities

Mental health support

30 vacation days

Qualifikationen

• Passion for understanding vehicle/fleet operation processes.
• Experience with modern programming languages, preferably Python.
• Solid understanding of dimensional modeling.

Aufgaben

• Architect and build scalable data pipelines.
• Leverage modern data orchestration tools.
• Partner with stakeholders to solve business challenges.

Kenntnisse

Data Engineering

Analytics Engineering

SQL

Python

Stakeholder Management

Data Quality Frameworks

Ausbildung

Background in Data Engineering or Analytics Engineering

Tools

DBT

Airflow

AWS

GCP

Azure

Jobbeschreibung

Berlin, Germany

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

At MOIA, you’ll be joining the Fleet 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 crew behind the central data foundation for everything fleet-related, and in a world that’s moving toward self-driving vehicles, data is at the heart of it all.

We build the foundation to enable decision makers, create reliable, scalable data products to support our business needs.

What We Do

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

Own and evolve the central data transformation framework for our fleet domain.

• Scale analytics efforts and enable Data Analysts and Data Scientists by providing clean and reliable datasets.

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

Help teams meet their analytics goals and keep dashboards accurate and insightful.

Partner with stakeholders to solve business challenges using data.

Share knowledge and support teams in adopting and contributing to our central data setup.

Support Fleet.OS business unit with our Data Science and Analytics expertise.

What you will do

• Architect and build scalable data pipelines using DBT and SQL, establishing robust data quality frameworks through automated testing while designing modular, reusable data assets that drive business insights.
• Leverage modern data orchestration tools like Airflow, implement CI/CD workflows with GitHub Actions, and develop Python automation solutions to streamline our data platform and accelerate deployment cycles.
• Work closely with members of our Data Platform Team to bootstrap new data services, ensuring data security and data protection standards.
• 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 is essential for our teamwork.

What will help you to fulfill your role

• Background in Data Engineering, Analytics Engineering.
• Passion for understanding and analyzing vehicle/fleet operation processes in the exciting field of Autonomous Driving.
• Experience with DBT and modern data modeling practices, along with proficiency in SQL and at least one modern programming language, preferably Python.
• Proficiency with Cloud Services (AWS, Azure, GCP etc.).
• Solid understanding of dimensional modeling knowledge.
• 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.
• 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 set-up
• 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.