Design, build, and evolve scalable data solutions for digital marketing and advertising use cases.
Collaborate with Analytics and Solutions Engineering to support reporting, measurement, and
Develop data pipelines across DSPs, ad servers, and third-party sources.

🎯 Requirements

Bachelor’s or Master’s degree in a quantitative field or equivalent work experience.
2-3 years of analytics experience in marketing/data roles.
Hands-on SQL and Python; experience with cloud products.
Experience with ETL/ELT pipelines and data architecture patterns.
Familiarity with Agile methodologies and DataOps practices.

🎁 Benefits

Hybrid work model as indicated in job posting.
Opportunities to work across global teams and cutting-edge data platforms.

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