(Senior) Data Engineer ^(m/f/x)

Man sitting in front of his laptop with a headset

Location
Rötelstraße 36
74172 Neckarsulm
Employment Area
E-Commerce
Level
Experienced professionals
Working Model
Full-time
Reference ID
43709

How can we change the world to make marketing both relevant and impactful? With your help! At Schwarz Media Platform, we are on a mission to build Europe's largest and most advanced ad network for retail - a real-life AdTech application with a big impact on consumers, stores, and advertisers. It is based on Europe's largest retail data pool from Europe's No. 1 retailer, Schwarz Group, and cutting-edge technology that understands individual consumer behavior at scale. If you are interested in this vision and are excited about how data and engineering excellence can help us get there, you will love Schwarz Media Platform.

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

5+ 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

Our benefits

Your contact