Data Engineer, Retail Media

Schwarz Corporate Solutions

full-time

Posted on: 9/18/2025

Origin: • 🇩🇪 Germany

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Mid-LevelSenior

AirflowApacheBigQueryCloudGoogle Cloud PlatformKubernetesPythonSparkSQL

About the role

Work in a cross-functional product team to design and implement data centered features for Europe’s largest Ad Network
Help to scale data stores, data pipelines and ETLs handling terabytes for one of the largest retail companies
Design and implement efficient data processing workflows
Extend reporting platform for external customers and internal stakeholders to measure advertising performance
Continue to develop custom data processing pipeline and continuously improve the technology stack
Collaborate with machine learning engineers and software engineers to build and integrate fully automated and scalable reporting, targeting and ML solutions
Participate in company and engineering specific onsite events despite remote setup

3+ years of professional experience working on data-intensive applications
Fluency with Python and good knowledge of SQL
Experience with developing scalable data pipelines with Apache Spark
Good understanding of efficient algorithms and ability to analyze them
Curiosity about how databases and other data processing tools work internally
Familiarity with git
Ability to write testable and maintainable code that scales
Excellent communication skills and a team-player attitude
Great if you also have: Experience with Kubernetes
Great if you also have: Experience with Google Cloud Platform
Great if you also have: Experience with Snowflake, Big Query, Databricks and DataProc
Great if you also have: Knowledge of columnar databases and file formats like Apache Parquet
Great if you also have: Knowledge of Delta Lake and other Big Data technologies
Great if you also have: Experience with workflow management solutions like Apache Airflow
Great if you also have: Affinity for Data Science tasks to prototype Reporting and ML solutions
Great if you also have: Knowledge of Dataflow / Apache Beam