Data Engineering Manager - Data Infrastructure

GoPythonScala Hybrid

Contentsquare is the all-in-one experience intelligence platform designed to be easily used by anyone who cares about digital journeys. With our flexible and scalable platform, organizations quickly get a deep understanding of their customers’ whole online journey.

We are a global leader in the experience analytics space, with a growing presence across 15 offices worldwide. We’re here to stay—and we’re looking for team members who are excited to drive impact and help us scale even further.

Our aim is to create an inclusive workplace where everyone learns and succeeds. Contentsquare has built a community of individuals who are daring, understanding, and deliberate. We invite you to join us in making the complex simpler—for our customers, their customers, and each other.

Important note: Be careful of scammers pretending to be from Contentsquare. We will never ask for money or contact you through random texts. For more information, visit our careers blog.

About the Job

As an Engineering Manager, you will join and lead one of the teams in the Data Infrastructure unit. This unit is responsible for the collection of the data through multiple streaming pipelines, its transformation, aggregation, sessionization and storage in our analytics database. Our tech environment includes Go, Scala, Python, Kafka and AWS/Azure — with a strong focus on performance, reliability, cost and long-term scalability.

What you will do

Lead a team of 5 software engineers specialized in high volume data streaming/storage, fostering a collaborative, high-performing, and pragmatic engineering culture (team rituals, career development, recruitment, etc.).

Use your technical background to support architectural decisions, review technical approaches, and help the team make thoughtful, scalable trade-offs.

Collaborating with the right people, identifying and eliminating blockers & inefficiencies quickly, handle conflicts by de-escalating and proposing an action plan

Drive the successful and timely delivery of high-impact, large-scale backend/data projects at the core of our platform.

What you will Need to succeed :

Solid experience as a backend or data engineer, ideally in a data-intensive or high-scale environment.

At least 2 years of experience in engineering management, with a strong focus on team delivery, structure and clear communication.

A pragmatic and structured approach to engineering management, including mentoring, regular 1:1s, goal setting, career guiding and fostering a strong sense of ownership and belonging.

Familiarity with technologies used in our technical stack such as AWS/Azure, Kafka, Scala, Go, ClickHouse, Singlestore is a plus – but not a requirement.

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