What You'll Do:
CRITEO is growing and looking for Data Engineers to join our Product Engineering team in our brand new Bucharest office!
Join a team where your work truly makes an impact. You’ll be building high‑quality, maintainable code that powers the processing and analysis of over 7 billion events every day — a number that continues to grow rapidly each year.
The Reporting Pipelines team is responsible for building and operating complex big data pipelines that measure the performance of our ad campaigns. The output of these pipelines is a critical asset in our data mesh and is used by multiple downstream processes, from delivering insights and reports to our clients, producing data for data scientists and analysts, to feeding our billing systems.
We’re hiring Data Engineers from intermediate to staff level. The scope, autonomy, and impact of the role will be adapted based on your experience and strengths.
Your main responsibilities :
Collaborate with multicultural R&D teams to ensure seamless communication between client-facing applications and other Criteo systems.
Explore and implement cutting edge data technologies to elevate our platform.
Manage diverse stakeholders and communicate complex data strategies.
Contribute to and review technical design documents.
Continuously deploy applications, driving efficiency and reliability.
Champion a strong engineering culture, with a focus on quality, scalability, and craftsmanship.
Beyond these responsibilities, you bring experience in building large scale data pipelines. We are looking for a passionate individual to create high-performing, scalable and well-designed back end systems that serve as the foundation for critical internal and customer-facing platforms at Criteo.
Who You Are:
You bring at least 3-5 years of experience in software development and ideally a relevant experience in building scalable and resilient data pipelines.
Proficient in Data Engineering skills across batch and streaming.
You have solid expertise in Spark, Flink or similar distributed data processing frameworks.
Strong hands-on experience in Scala, Python and SQL dialect languages (Spark SQL).
You value reusability and enjoy simplifying complexity.
You’re curious about new technologies and may even lead personal projects to explore them.
You have a positive, collaborative mindset and a “can-do” attitude when tackling challenges.
You thrive in Agile environments and are passionate about delivering high-quality code.
Strong communication skills and a collaborative spirit — you work well with others and contribute to a positive team culture.
