(Junior) Data Engineer (d/f/m)

JobCubby; Berlin; Hybrid; EUR 52.000 - 78.000; Vollzeit

Benefits dieser Stelle

Competitive salary

Company pension

Hybrid work

Learning resources

Transport allowance

Social & collaborative office

Abroad work option

Employee wellbeing support

Parental leave

Zusammenfassung

mobile.de in Berlin-Charlottenburg seeks a (Junior) Data Engineer to design, build, and maintain data infrastructure powering the platform. You will work on ingestion, transformation, modelling, and monitoring while growing in a supportive, collaborative environment.

You'll have hands-on experience with cloud data services, dbt, Airflow, and data warehouses, plus SQL-based data exploration. A hybrid work model and ongoing learning opportunities are offered.

Qualifikationen

• Degree in data engineering, data science, (business) computer science, or related field.
• Hands-on experience with big data technologies in cloud environments (GCP or AWS).
• Familiarity with data integration pipelines and tools such as dbt, Airbyte, Airflow, Kafka, Spark, or BigQuery.
• Solid understanding of relational databases and modern data warehouses; ability to analyze data with SQL.
• Working knowledge of containerisation tools (Docker) and basic CI/CD practices.
• Familiarity with data modelling concepts (Star Schema or Data Vault) is a plus.
• Experience with Python, Scala, or Java is a plus.
• Interest in AI tools and LLM-assisted workflows to improve productivity and data solutions.

Aufgaben

• Design, implement, schedule, and monitor ETL pipelines for the data lake using best practices.
• Build and maintain well-tested data models using dbt to support analysts and stakeholders.
• Contribute to data ingestion workflows, including integrating data from external sources with Airbyte or Kafka.
• Help ensure data quality by identifying issues and coordinating resolutions.
• Collaborate with data engineers, data scientists, and analysts across the organization.
• Support evaluation and adoption of new tools and AI-enabled approaches.

Kenntnisse

Data engineering

GCP/AWS

SQL & data warehousing

dbt

Airflow

Airbyte

Kafka

Spark

BigQuery

Python/Scala/Java

Docker

AI tooling / LLM workflows

Ausbildung

Degree in data engineering, data science, or related field

Tools

Docker

CI/CD

Jobbeschreibung

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.

Your Role

As a (Junior) Data Engineer you will work alongside experienced engineers to design, build, and maintain the data infrastructure that powers mobile.de. You will contribute to the full data engineering lifecycle, from ingestion and transformation to modelling and monitoring, while developing your skills in a collaborative, supportive environment.

• Degree in data engineering, data science, (business) computer science, or a related field; or equivalent practical experience.
• Foundational hands-on experience with big data technologies in cloud environments (e.g., Google Cloud Platform or Amazon Web Services).
• Familiarity with data integration pipelines and common data technologies such as dbt, Airbyte, Airflow, Kafka, Spark, or BigQuery.
• Solid understanding of relational databases and modern data warehouses; ability to explore and analyse data using SQL.
• Working knowledge of containerisation tools (e.g., Docker) and a foundational understanding of CI/CD practices.
• Familiarity with data modelling concepts (e.g., Star Schema or Data Vault) is a plus.
• Experience with Python, Scala, or Java is a plus.
• Interest in using AI tools and LLM-assisted workflows to improve productivity and data solutions.

What Will Make You Stand Out

• Experience working in GCP environments.
• Hands-on exposure to dbt and Airflow.
• A curious, problem-solving mindset with a willingness to experiment and learn.
• Strong communication skills — you can explain technical concepts clearly to non-technical colleagues.

Responsibilities

• Design, implement, schedule, and monitor ETL pipelines for the data lake, following software engineering best practices.
• Build and maintain well-tested, well-documented data models using dbt to support analysts and business stakeholders.
• Contribute to data ingestion workflows, including integrating data from external sources using tools such as Airbyte or Kafka.
• Help ensure data quality by identifying issues, coordinating resolution, and supporting preventive improvements.
• Collaborate with data engineers, data scientists, and analysts across mobile.de, serving as a point of contact for questions about datasets within your assigned domains.
• Support the evaluation and adoption of new tools and approaches — including AI-assisted workflows — where appropriate.

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