Data Engineer

at  Criteo

What if, in your next adventure, you were surrounded by people who, like you, look for an unlimited playground to explore, share, and test, would you care to hear more? You’ve opened the right door! As an R&D team, making sure your ideas are heard and encouraged is what we strive to do!

WHO WE ARE:

Criteo is the global commerce media company that enables marketers and media owners to deliver richer consumer experiences and drive better commerce outcomes through its industry leading Commerce Media Platform.
At Criteo, our culture is as unique as it is diverse. From our offices around the world or from home, our incredible team of 3,600 Criteos collaborates to develop an open and inclusive environment. We seek to ensure that all of our workers are treated equally, and we do not tolerate discrimination based on race, gender identity, gender, sexual orientation, color, national origin, religion, age, disability, political opinion, pregnancy, migrant status, ethnicity, marital or family status, or other protected characteristics at all stages of the employment lifecycle including how we attract and recruit, through promotions, pay decisions, benefits, career progression and development. We aim to ensure employment decisions and actions are based solely on business-related considerations and not on protected characteristics. As outlined in our Code of Business Conduct and Ethics, we strictly forbid any kind of discrimination, harassment, mistreatment or bullying towards colleagues, clients, suppliers, stakeholders, shareholders, or any visitors of Criteo. All of this supports us in our mission to power the world’s marketers with trusted and impactful advertising encouraging discovery, innovation and choice in an open internet.

The R&D Measurement teams are responsible for building and operating complex 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 training our machine learning models, to delivering insights and reports to our clients, or feeding our billing systems.

Main missions :

• Interact with Product Management and other R&D teams to understand requirements
• Contribute to and review technical design documents
• Implement the requirements using a variety of languages, frameworks and technologies*
• Test your team’s codebase, by relying on different techniques, such as unit, integration, or end to end tests
• Review the code of your team members to ensure a high standard of quality and maintainability
• Deploy and monitor the jobs owned by your team
• Investigate production incidents and fix bugs in your team’s codebase
• Contribute to defining your team’s technical roadmap, for addressing technical debt, improving the codebase maturity, reducing the maintenance effort, etc.
• ) For reference, our data pipelines are implemented using Spark and their code is written in the Scala language. Some data processing jobs also rely on an internal framework, called Big Dataflow, and their logic is expressed using a SQL dialect. Some components in the scope of other teams are written in C# or Python.