Betclic Group

As our first Technical Product Manager for Data Engineering, you will own the product vision and roadmaps for two transverse teams at the heart of Betclic's data transformation:

• Data Platform Engineering — DataOps, DevOps Data, infrastructure-as-code for the data stack, CI/CD pipelines, observability, platform reliability, and product analytics data pipelines (Amplitude).
• Data Core — the engineering centre of excellence embedded across domain squads: technical mentoring, cross-cutting standards, tooling, monitoring, and technology watch.

This is a greenfield role: you'll be defining what great product management looks like for a platform and engineering team — translating complex technical backlogs into a coherent, value-driven roadmap. You will be the connective tissue between domain squads, infrastructure engineers, and the Director of Data Engineering.

We're looking for a rare blend: a product-minded engineer or engineering-minded PM who thrives at the intersection of platform thinking and data engineering.

• You have 5+ years of experience, including significant time as a PM, PO, or tech lead in a data or platform engineering context
• You're comfortable reading and reasoning about modern data architectures — data lakehouse, streaming pipelines, data mesh, orchestration — even if you're not hands-on with every tool
• You have worked closely with or within data engineering teams (Snowflake, dbt, Spark/Flink, Airflow, or equivalents)
• You know how to structure a technical backlog, run discovery with engineers, and turn complex infrastructure needs into clear outcomes
• You're a strong communicator who can talk architecture with Staff Engineers and roadmap priorities with senior leadership
• You bring rigor, autonomy, and a continuous improvement mindset — you measure impact, not just delivery
• You speak English fluently (our working language in tech)

• Experience in a data mesh or platform-as-a-product transformation
• Familiarity with FinOps principles applied to cloud data platforms
• Exposure to AI/ML engineering or agentic systems

If shortlisted, you'll be contacted within one week for an initial HR screening by Joe (30 min), followed by an AssessFirst assessment (personality, motivation, cognitive reasoning).

The process then unfolds in four steps:

• Interview with the Director of Data Engineering — scope deep-dive, vision alignment, and mutual fit
• Interview with the Head of Engineering, Data Platform — technical context, team dynamics, ways of working
• Case study presentation — you'll be given a realistic backlog of Data Platform and Data Core items (FinOps, monitoring, data mesh enablement, developer tooling, governance…) and asked to build and present a prioritized 2-quarter roadmap, including your methodology, trade-offs, and how you'd communicate it to engineering leads and domain squads
• Final HR interview — review of AssessFirst results with the Talent team

The full process typically takes 4 to 6 weeks.

✅ 25 days of paid leave and 10 RTT days

🍽️ A Ticket Restaurant® card credited with €11 per day (€6 per day funded by Betclic)

🩺 100% health insurance coverage for you and your children

🚆 50% reimbursement of public transport costs or an annual sustainable mobility allowance (€230 for commuting with sustainable transport)

🏡 Hybrid work model

📚 Access to a vast training catalog, with opportunities for professional development every year

🏢 Extraordinary office spaces with a rooftop where you can enjoy sunny breaks with a view of the Cité du Vin

🎉 Internal events to liven up your daily life

🏋️ On-site sports classes and organized tournaments (Pilates, circuit training, boxing, yoga, futsal, padel, tennis…)