Data Engineer (d/f/m)

mobile.de is Germany's largest vehicle marketplace with about 1.4 million listed cars, trucks, and motorcycles. Both private customers and more than 40,000 registered vehicle dealers use the platform. Including listing exports to the sister platform Kleinanzeigen, mobile.de reaches about 20 million unique users per month (AGMA digital facts; mobile.de and Kleinanzeigen; categories: cars, motorcycles, commercial vehicles, motorhomes; Ø month April 2022 to March 2023). As a "one-stop shop," mobile.de offers not only buying and selling services but also financing and leasing solutions, among others. The company, founded in 1996, is a subsidiary of Adevinta, a globally leading provider of online classifieds portals.

mobile.de is part of Adevinta: a global online classifieds specialist and sustainability leader with 25+ products in 10 countries.

What you’ll do ​& Who you are

About the Role:

We are looking for a Data Engineer to design, build, and optimize our data infrastructure. In this role, you will work with both technical and non-technical teams to develop scalable data solutions. You will help enable data-driven decision-making across the company by ensuring data quality, efficient data processing, and cost-effective cloud architectures.

You will report to the Team Lead Sales Data & BI. This role is hybrid and located in Berlin.

What You'll Do:

• Data Architecture & Pipelines: Design, develop, and maintain scalable ETL/ELT pipelines to support analytical and operational data needs.

• Data Modeling: Structure and improve data models for various data products to ensure performance and usability.

• Business & Technical Collaboration: Translate business requirements into technical solutions and collaborate with teams to align on data strategies.

• Performance & Cost Optimization: Implement best practices for query optimization, cloud cost management, and efficient data storage.

• Data Quality & Governance: Develop and implement monitoring, testing, and validation frameworks to ensure data integrity and consistency.

• Workflow Automation: Use orchestration tools to automate and manage data workflows efficiently.

• Stakeholder Management: Work closely with analysts, data scientists, and business teams to provide reliable and well-structured data.

• Cloud & Tooling: Leverage modern cloud technologies and data engineering best practices to enhance our data platform.

Who You Are:

• Experience: 3+ years in a data engineering role, working with large datasets and cloud-based data platforms.

• Data Architecture & Modeling: Strong understanding of data modeling principles and experience designing scalable data solutions.

• Cloud & Big Data Technologies: Hands-on experience with Google Cloud (GCP) or comparable platforms (AWS, Azure), including BigQuery / Google Cloud Storage.

• ETL/ELT & Orchestration: Experience with Dataform / dbt, Apache Airflow / Google Cloud Composer, or similar tools.

• Streaming & Processing: Knowledge of Kafka and Spark (Serverless) is a plus.

• CI/CD & Automation: Familiarity with CI/CD pipelines for data deployment and workflow automation.

• Visualization & Reporting: Experience with BI tools such as Looker, Tableau, or Power BI is a plus.

Benefits

Life at Adevinta comes with its perks! Our Adevintans enjoy the following benefits: 

• An attractive Base Salary 💸

• Participation in our Short-Term Incentive plan (annual bonus) 🏆

• Work From Anywhere: Enjoy up to 20 days a year of working from anywhere! Maybe not from the moon🌛well why not! just make sure you have internet connection! 🌍

• A 24/7 Employee Assistance Program for you and your family, because we care ❤️‍

• Win together, lose together is one of our key behaviours. At Adevinta you will find a collaborative environment with an opportunity to explore your potential and grow 🌱 

On top of these, we also provide a range of locally relevant benefits. Wanna know more? Apply and ask our recruiters! ✨

Adevinta 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.
If you feel like you don’t meet all of the requirements for this role but are interested, please consider applying anyway. Research suggests that women and individuals from underrepresented groups may self-select out of opportunities if they don’t meet 100% of the job requirements. We strongly encourage people from historically excluded groups to apply and look forward to speaking with you.