(Senior) Data Engineer (m/f/d) - Service Configuration Intelligence Team

MOIA; Berlin; Hybrid; EUR 75.000 - 95.000; Vollzeit

Zusammenfassung

A leading mobility technology company in Berlin seeks a Senior Data Engineer to develop production-grade products. This role involves end-to-end product development and designing cloud infrastructure using AWS. Candidates should have strong skills in TypeScript and Python, with a focus on data tooling. The company encourages a hybrid working environment, balancing flexibility with collaboration and offers competitive benefits including relocation support and mental health resources.

Leistungen

Competitive salary (including bonus)

Hybrid work setup

Flexible working hours

Public transport ticket

Fitness club membership or bike leasing

Learning environment with continuous training

Mental health support

30 vacation days

Relocation support

Dog-friendly offices

Qualifikationen

• Experience with AWS cloud services in production environments.
• Proficiency in TypeScript and experience with AWS CDK.
• Strong skills in Python, especially for data tooling.

Aufgaben

• Contribute to end-to-end product development.
• Design and build infrastructure in a cloud-native environment.
• Mentor team members and support technical growth.

Kenntnisse

AWS cloud services

TypeScript

Python

Agile software development

APIs (REST or GraphQL)

Ausbildung

Bachelor's degree in Computer Science or related field

Tools

Docker

GitHub

Jobbeschreibung

Berlin, Germany

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

Our Service Configuration Intelligence Team brings together analysts, data scientists, and data engineers who transform complex data into actionable insights. Our mission is to empower decision-makers with fast, reliable, data-driven guidance that optimizes our services and enables ambitious goals. We build the tools and products that are essential for steering and monitoring our service: intuitive dashboards, robust reporting, and predictive models—especially around demand prediction.

We’re looking for a (Senior) Data Engineer with strong technical expertise and a true enablement mindset. In this role, you’ll apply modern data engineering and software engineering principles to build production-grade decision-support products. You will work in a cross-functional team where analysts, data scientists, and data engineers all contribute code. If you’re passionate about building stable, scalable data products with real impact, we’d love to talk.

What you will do

• Contribute to our end-to-end product development , applying a broad range of data and software engineering skills—from pipeline deployment and data processing to user-facing applications.
• Design and build infrastructure in our cloud-native AWS environment to enable production-ready data products (KPI reporting pipelines, dashboards, data-science models).
• Develop high-quality, maintainable code using CDK/TypeScript, Python, DBT, and other modern tools that fit the problem.
• Work closely with engineers, analysts, and product managers in an agile, outcome-driven environment.
• Shape and champion software engineering excellence, including pair-programming and code reviews.
• Mentor and support team members, fostering technical growth, knowledge sharing, and best practices across the team.

What will help you to fulfill your role

• Broad experience with AWS cloud services (e.g., Batch, Lambda, CloudWatch, Athena, Bedrock) and their use in production environments.
• Expertise in TypeScript and infrastructure development using AWS CDK , as well as deploying services to production with Docker and GitHub-based CI/CD pipelines .
• Senior-level mastery of Python (especially for data tooling), including experience building and maintaining modular, production-ready codebases .
• Good understanding of software architecture and strong foundation in agile software development .
• Familiarity with monitoring, logging, and alerting concepts, plus common Python developer tooling (e.g., poetry, pytest , flake8).
• Experience building APIs (REST or GraphQL ) or frontend applications (React) is a plus.
• Experience collaborating with data-focused roles (analysts, scientists , ML engineers) is helpful but not required.
• 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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