Senior Data Engineer

Adevinta
Berlin, Germany
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Berlin, Germany

Tech stack

Java
Airflow
Amazon Web Services (AWS)
Google BigQuery
Information Engineering
ETL
Data Warehousing
Distributed Systems
Python
Linux System Administration
Machine Learning
MongoDB
NoSQL
SQL Databases
Data Streaming
Snowflake
Spark
Apache Flink
Kafka
Docker
Databricks
Microservices

Job description

You'll work in an Agile environment, collaborating with our Product Owner to build impactful dealer products. You are:

  • A self-starter with a love for data
  • An innovative problem solver
  • Committed to writing clean, testable code
  • Located in Berlin or Brandenburg.

If you're excited about using your data engineering skills to make a difference, we want to hear from you! What you'll do:

  • Build and integrate data products and services into our systems and business processes.
  • Design and implement data flows between systems and automate them.
  • Build accessible data for analysis and data product development.
  • Transform and make data accessible for analysis and product development, ensuring data privacy., We support hybrid work, and you will work some times each month in our office - The Oberpostdirektion in Berlin. You will report to your engineering manager and work in a crossfunctional team. We encourage all interested candidates to apply, even if you don't meet every requirement. Research shows that women and individuals from underrepresented groups often hesitate to apply unless they meet all criteria. We welcome applications from diverse backgrounds and look forward to connecting with you.

Requirements

Do you have experience in UX?, * 5+ years of experience in Python or Scala, or Java.

  • Strong SQL skills (including CTEs and window functions).
  • Experience with data modeling for cloud data warehouses (e.g., BigQuery, Snowflake) and familiarity with NoSQL databases (e.g., MongoDB).
  • Proven ability to design and implement high-throughput data architectures and ETL pipelines for batch and real-time processing (e.g., Spark, Flink, Kafka, Airflow, dbt).
  • Hands-on experience with cloud platforms (GCP or AWS), Docker, and Linux administration for cloud VMs.
  • Strong collaboration skills, working with Developers, UX, and Product Managers in tech or marketplace environments.
  • Plus: Experience with Databricks Delta, Airbyte, distributed systems, microservices, or machine learning deployment.

Benefits & conditions

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.

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