Data Engineer Retail Media

Schwarz IT takes care of the entire digital infrastructure and all software solutions of the companies of Schwarz Group. As a result, it is responsible for the selection, provision, operation and continuing development of IT infrastructure, IT platforms and business applications. In order to provide IT solutions that optimally support the departments' business processes, Schwarz IT addresses the departments' requirements in consultations and works with them to develop professional and effective IT solutions.

What You´ll Do

• Work in a cross-functional product team to design and implement data centered features for Europe's largest Ad Network
• Help to scale our data stores, data pipelines and ETLs handling terabytes of one of the largest retail companies
• Design and implement efficient data processing workflows
• Extend our reporting platform for external customers and internal stakeholders to measure advertising performance
• Continue to develop our custom data processing pipeline and continuously search for ways to improve our technology stack along our increasing scale
• Work with machine learning engineers and software engineers, to build and integrate fully automated and scalable reporting, targeting and ML solutions
• You will work in a fully remote setup but you will meet your colleagues in person in the company and engineering specific onsite events

What You'll Bring Along

• 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 know-how 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
• Experience with Google Cloud Platform
• Experience with Snowflake, Big Query, Databricks and DataProc
• Knowledge of columnar databases and file formats like Apache Parquet
• Knowledge of "Big Data" technologies like Delta Lake
• Experience with workflow management solutions like Apache Airflow
• Affinity for Data Science tasks to prototype Reporting and ML solutions
• Knowledge of Dataflow / Apache Beam