Design, build, and scale data pipelines for retail media measurement.
Enable near real-time and batch data processing for decisions.
Collaborate with Data Scientists, Analysts, Lead Engineers, and Product Managers.
Deliver production-ready data solutions with reliability and performance.
Mentor junior engineers and promote best practices in data engineering and MLOps.
Bridge data engineering and ML workflows for production pipelines.

🎯 Requirements

3+ years in data engineering with scalable solutions.
SQL, PySpark, and Hive expertise.
Argo Workflows and cloud platforms (GCP/Azure).
Python with FastAPI, unit testing, and Git.
Data cataloging, metadata management, and data quality tooling.
Nice to have: Docker, Kubernetes, ML workflows.

🎁 Benefits

Flexible working hours.
Birthday off.
Access to cutting-edge technology.
Nimble, small-team environment.
Inclusive culture and networks.

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