Data Engineering Manager - Data Infrastructure at Contentsquare

This role is designed for a seasoned engineering leader with a background in high-volume data processing and at least 2 years of management experience. You should be comfortable leading a team of five specialized engineers navigating complex data streaming, sessionization, and storage challenges. While you don't need to be a coding expert in their specific stack, a strong backend or data engineering foundation is essential to guide architectural trade-offs. A standout aspect of this position is the scale of the infrastructure; you will be managing the "engine room" of a global experience intelligence platform. The role operates on a hybrid model out of the Paris area, offering a balance of in-person collaboration and remote flexibility within a stable, late-stage scale-up environment. It’s an ideal spot for a pragmatic leader who values mentorship and operational excellence over "management by spreadsheets." **You might be a good fit if you...** * Have managed engineering teams for 2+ years and enjoy fostering career growth through 1:1s and goal setting. * Are comfortable overseeing high-impact projects involving Kafka, Go, or Scala. * Excel at unblocking technical teams and translating complex data infrastructure needs into clear delivery roadmaps. * Thrive in "high-scale" environments where performance, cost, and reliability are the primary benchmarks.