Data Engineer (d/f/m)

Working at mobile.de comes with its perks! Enjoy the following benefits (some of many):

• 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)

• Design, implement, schedule, and monitor ETL/ELT pipelines for the data lake and data warehouse, following software engineering best practices.
• Build and maintain well-tested, well-documented data models using dbt to support analysts and business stakeholders.
• Contribute to the creation and definition of reports and dashboards that increase transparency into business processes.
• Collaborate with analysts, data engineers, data scientists, and product managers across mobile.de; serve as a point of contact for questions about datasets within assigned domains.
• Help ensure data quality by identifying issues, coordinating resolution, and supporting preventive improvements.
• Recommend ways data can support product improvements and business decisions; evaluate and pilot new tools and approaches (including AI) when appropriate.

For our data team in Berlin we are looking for a Data Engineer (d/f/m) in our Qualify, Communicate & Transact cluster. Our mission is to qualify consumers' needs and establish seamless and valuable connections between buyers and sellers, empowering successful and joyful transactions. We do this through three domains: Leasing, which enables leasing options on mobile.de and null-leasing; Lead2Sale, which empowers dealers to successfully convert the leads they receive into actual sales; and Consumer Selling, which builds tools and processes for partner dealers to trade in vehicles from private sellers, putting the private seller experience at the center. This specific role is in the Goudata Team, which acts as an enabling team, partnering with the different teams and functions across the cluster to ensure they can meet their data needs.
The Goudata Team is a dedicated Data Engineering team that works closely with the business domains across the cluster, acting as enablers for their data needs. 

We are looking for a person who has strong data engineering skills, is comfortable owning stakeholder communication and managing expectations across domains.. We also value someone who embraces AI tools and is not afraid to experiment and try new things in one of the world's leading automotive platforms. Are you this person?

• Degree in data engineering, data science, (business) computer science, or a related field; or equivalent practical experience.
• Hands-on experience with big data technologies in cloud environments (e.g., Amazon Web Services or Google Cloud Platform).
• Experience building data integration pipelines and working with common data technologies such as dbt, Airbyte, Airflow, Kafka, Spark, or BigQuery.
• Experience with relational databases and modern data warehouses; ability to explore and analyze data using SQL.
• Experience with BI tools such as Looker or Tableau, including translating data into insights that support decision-making.
• Working knowledge of containerization tools (e.g., Docker) and a foundational understanding of CI/CD practices.
• Interest in using AI tools and LLM-assisted workflows to improve productivity and data solutions, with curiosity about practical applications in data engineering.