TL;DR

Senior Data Engineer (Data Science/ML): Design and build scalable data pipelines to measure and analyze campaign performance insights for advertisers, leveraging large-scale data and machine learning models. Focus on ensuring seamless system integration and championing a strong engineering culture.

Company

%hirify_global% is a leader in commerce media, helping brands, agencies, and publishers create meaningful consumer connections through AI-powered advertising solutions.

What you will do

Design and build robust, scalable data pipelines processing terabytes of data.
Actively contribute to shaping the technical roadmap and long-term architecture.
Partner with Product and Program Management to deliver high-impact projects in an Agile environment.
Collaborate with multicultural, cross-functional R&D teams to ensure seamless system integration.
Continuously deploy applications, improving efficiency, reliability, and performance.

Requirements

7+ years of experience building and evolving large-scale, complex systems.
Proficient in Object-Oriented Programming (C#, Python, C++, Java, Scala) and SQL.
Experience building data-intensive applications.
Exposure to big data technologies (Hadoop, Spark).
Care deeply about reusability and enjoy simplifying complex systems.
Thrive in Agile teams and are passionate about delivering high-quality, well-tested code.

Culture & Benefits

Hybrid model blends home with in-office experiences.
Learning, mentorship & career development programs.
Health benefits, wellness perks & mental health support.
Diverse, inclusive, and globally connected team.
Attractive salary, with performance-based rewards and family-friendly policies, plus the potential for equity depending on role and level.