Pas de salaire renseigné
Data Engineering Manager - Data Infrastructure H/F Contentsquare
- Paris - 75
- CDI
- Télétravail partiel
- Bac +5
- Secteur informatique • ESN
- Exp. 2 ans min.
Détail du poste
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.
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.
We invest in our people through career development, mentorship, social events, philanthropic activities, and competitive benefits. We are always assessing the perks we offer to ensure we're aligned with the employees' needs.
Here are a few we want to highlight:- Virtual onboarding, Hackathon, and various opportunities to interact with your team and global colleagues both on and offsite each year- Work flexibility: hybrid and remote work policies- Generous paid time-off policy (every location is different)- Lifestyle allowance- A Culture Crew in every country we're based in to coordinate regular activities for employees to get to know each other and bond outside of work- Every full-time employee receives stock options, allowing them to share in the company's success- We have multiple Employee Resource Groups, that offer a safe space for individuals who share common identities, life experiences, or allyship to connect, support one another, and passionately advocate for the issues close to their hearts- And more benefits tailored to each country
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Bienvenue chez Contentsquare
Publiée le 11/03/2026 - Réf : 75e9d21e-ef2b-4752-8933-62742b7ea225
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Data Engineering Manager - Data Infrastructure H/F
- Paris - 75
- CDI
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