Senior Data Engineer

Role Overview

Create high quality, maintainable code that processes and analyzes almost 35 Billions events daily. Utilize one of the largest private Hadoop clusters in the world. Design and perfect data ingestion pipelines at scale for large data on streaming.

What You Will Do

Own and continuously elevate the quality, reliability, and integrity of our most critical large-scale datasets. Ensure the accuracy, consistency, and trustworthiness of data assets across our Hadoop ecosystem.

Why It Might Be a Fit

You will be working closely with your mentor to drive your project, design and ensure best practices are applied. You are encouraged to actively voice your ideas whilst learning how to build and ship quality code into production.

Requirements

• At least 3 years of experience with developing and extending large and complex systems
• Master in Computer science or engineering school or any relevant field
• Familiar with Scala/Java, Spark/Hadoop/Hive and relevant experience in Object Oriented Programming (C#, Python, C++, Java)
• Good level of English (at least B2 intermediate)

Benefits

• Ways of working – Our hybrid model blends home with in-office experiences, making space for both
• Grow with us – Learning, mentorship & career development programs
• Your wellbeing matters – Health benefits, wellness perks & mental health support
• A team that cares – Diverse, inclusive, and globally connected
• Fair pay & perks – Attractive salary, with performance-based rewards and family-friendly policies, plus the potential for equity depending on role and level