(Senior) Data Engineer with Data Analytics

Schwarz Unternehmenskommunikation GmbH & Co. KG
Berlin, Germany
3 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

Remote
Berlin, Germany

Tech stack

A/B testing
Databases
Data Stores
Data Visualization
Python
MicroStrategy
SQL Databases
Tableau
Data Processing
Spark
GIT
Data Analytics
Looker Analytics
Data Pipelines

Job description

Join us and contribute to digital sovereignty in Europe. With us, you will work at the intersection of agility and security: You will benefit from fast decision-making processes, enjoy genuine creative freedom in your projects, and be able to build upon the stable foundation of the Schwarz Group., * 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 effi cient data processing workfl ows
  • Continue to develop our custom data processing pipeline and continuously search for ways to improve our technology stack along our increasing scale
  • Develop and standardize a product for measuring the incremental impact of advertising campaigns
  • Design and deliver market-leading reporting solutions
  • Leverage Business Intelligence tools to provide internal business insights, supporting strategic decision-making and driving product development initiatives
  • Extend our reporting platform for external customers and internal stakeholders to measure advertising performance
  • You will work in a fully remote setup but you will meet your colleagues in person in the company and engineering specific onsite events

Requirements

Do you have experience in Tableau?, * 5+ years of professional experience working on data-intensive applications

  • Fluency with Python and profi cient in SQL
  • Experience with developing scalable data pipelines with Apache Spark
  • Experience with data visualization tools (e.g., Looker, Tableau, Microstrategy)
  • Familiarity with statistical techniques and A/B testing methodologies
  • Good understanding of effi cient algorithms and know-how to analyze them
  • Curiosity about how databases and other data processing tools work internally
  • Ability to write testable and maintainable code that scales
  • Ability to present fi ndings in a clear, concise manner to both technical and non-technical stakeholders
  • Familiarity with git
  • Excellent communication skills and a team-player attitude

About the company

Schwarz Digits creates the technological foundation for digital sovereignty in Europe. As the IT and digital division of the Schwarz Group, we develop and manage the IT infrastructures for the retail divisions Lidl and Kaufland, as well as Schwarz Production and PreZero. At the same time, we operate as an independent provider in the external market to support companies across Europe in their digital transformation. We bundle our core services in the areas of Cloud, Cyber Security, Data & AI, Communication, and Workspace.

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