Data Engineer - MarTech at SumUp
Berlin, Berlin, Germany -
Full Time


Start Date

Immediate

Expiry Date

28 Apr, 25

Salary

0.0

Posted On

28 Jan, 25

Experience

0 year(s) or above

Remote Job

No

Telecommute

No

Sponsor Visa

No

Skills

Good communication skills

Industry

Information Technology/IT

Description

Location: Berlin, in office
SumUp enables merchants around the world to get paid easily, process orders quickly, sell online instantly and manage their money more efficiently. SumUp creates the tools merchants need to make their customer experience and their business thrive.
The cross-functional MarTech team is responsible for improving our customer acquisition. This includes optimizing our worldwide online marketing spendings, attributing new customers to marketing campaigns, automating content creation through AI, calculating the customer lifetime value of our merchants, and making data from various sources available for analysis and decision making.
Data is the underlying prerequisite for all of these tasks. We are looking for a passionate Data Engineer to complement our team. The role is crucial to extract, transform, clean-up, ingest, and manage data from various sources for our ML models, analytics, and product use cases with the needed quality.

Responsibilities

WHAT YOU’LL DO:

  • Work closely with stakeholders to build valuable solutions and enable them to use these efficiently
  • Build and scale complex data pipelines that power machine learning and data products based on a wide spectrum of data sources from within SumUp
  • Make key data available in our data lake and DWH
  • Ensure the timeliness and accuracy of data sets through monitoring and data quality checks
  • Optimise our data models towards maintainability and scalability

YOU’LL BE GREAT FOR THIS ROLE IF:

  • You have excellent skills in building, operating and leveraging data pipelines, machine learning models, and systems leveraging both
  • You are cheerfully working with Python and Airflow
  • You are renowned for skillfully sending (e.g. Kafka), querying (SQL), and transforming data (e.g. dbt)
  • You have experience with machine learning models and their application as well as traditional engineering and operational excellence
  • You are a great communicator and collaborator who is fun to work with
  • Knowledge in marketing or ML Ops would be a plus
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