Description

mobile.de is Germany’s largest vehicle marketplace, with more than 1.6 million listed cars, commercial vehicles, motorcycles, and e-bikes (annual average 2025). Both private customers and registered vehicle dealers use the platform and benefit from more than 140 million visits per month*. As a “one-stop shop,” mobile.de’s offering includes not only buying and selling, but also financing and leasing solutions. Founded in 1996, the company is a subsidiary of Adevinta, a global leader in online classified portals.

Based in Berlin-Charlottenburg, we offer a dynamic environment where growth, learning, and collaboration are at the heart of everything we do. If you are driven by an eagerness to disrupt, have a passion for collaboration, and are excited about shaping the future of mobility, we would love to hear from you.

What you’ll do & Who you are

We’re looking for a dynamic Senior Data Engineer to join our Dealer Product Team at mobile.de Germany’s leading automotive marketplace. Our cross-functional team brings together frontend, backend and full-stack engineers, a product manager, a UX designer, and an agentic systems engineer.

As a key member of our agile team, you’ll collaborate with our product manager and the wider team to develop impactful dealer products that improve the automotive marketplace, building the reliable data foundations that power smarter, more confident decisions across the platform. If you’re passionate about applying modern data engineering to make a tangible difference, we want to hear from you.

Responsibilities

Design, implement, schedule, and oversee ETL/ELT pipelines into the data lake and data warehouse, following software engineering best practices.

Build and maintain clean, well-tested, and well-documented data models in dbt, ensuring strong usability for analysts and business users.

Contribute to the creation and definition of reports and dashboards that increase transparency across current business processes.

Collaborate closely with analysts, data engineers, data scientists, and product managers, while taking ownership of data quality and proactively addressing issues.

Identify opportunities where data can enable better products and business decisions, and confidently experiment with new tools and approaches, including AI.

Requirements

Completed degree in data engineering, data science, (business) computer science, or a related field, or comparable practical experience.

Hands-on experience with big data technologies in cloud environments such as Amazon Web Services or Google Cloud Platform.

Familiarity with building data integration pipelines and working with commonly used data technologies such as dbt, Airbyte, Airflow, Kafka, Spark, or BigQuery.

Experience with relational databases and modern data warehouses, along with confidence in data exploration using SQL.

Practical knowledge of BI tools such as Looker or Tableau and the ability to translate data into actionable insights.

Comfort working with containerization tools like Docker and a basic understanding of CI/CD practices.

Openness to using AI tools and LLM-assisted workflows to improve productivity and data solutions, combined with curiosity about how AI can enhance data engineering work.

Benefits

Rewards: competitive base salary and participation in the company’s incentive programs.

Plan for the Future: On top of the statutory retirement insurance, we offer a competitive company pension scheme.

Team-Building: Regular team and company events offer the opportunity to network and learn from each other.

Learning & Development: Keep growing with access to coaching, learning platforms and resources.

Mobility: Stay mobile with a monthly transportation allowance.

Enjoy working: Our well-equipped office supports focused work and teamwork – plus inviting social zones where colleagues can relax and connect.

Flexible working: a hybrid approach with the option to work abroad for a set number of days per year.

Wellbeing: confidential employee assistance and support services available to employees and their immediate families.

Family support: enhanced parental leave and family-friendly policies to support all parents and careers.

Meaningful Work: We are a diverse, international, highly skilled and passionate team committed to a world where people share more and waste less. Every day you will have the opportunity to make a huge difference for our users, customers as well as shape the future.

Embracing AI: We’re at the forefront of integrating cutting-edge AI technologies into our operations. Being part of mobile.de you will work with and learn about AI tools, contributing to projects that leverage AI to enhance efficiency, improve customer experiences, and drive our mission forward. With an AI-first mindset, we foster a culture of continuous learning and experimentation, empowering our team to explore and apply AI in meaningful ways for the company and themselves.

Connection and Inclusion: Our culture is the glue that holds us together. We believe in making meaningful connections and creating an inclusive atmosphere with lots of opportunities to connect both in your day to day work and through social team activities (online and offline).

mobile.de is an equal opportunity employer and we value diversity. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status or disability status.

(*Source: mobile.de Google Analytics Tracking, average per month January to December 2025)

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mobile.de GmbH