Technical Product Manager - Data Engineering F/M (Hybrid)

ENTER THE GAME

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.

YOUR ROLE WITHIN BETCLIC

Owning and driving the product roadmap

Define, prioritize, and deliver clear roadmaps for Data Platform Engineering and Data Core. You will translate technical challenges, operational needs, and strategic initiatives into actionable plans, balancing short‑term priorities with long‑term platform vision. You will run regular syncs with domain squad Product Owners and Engineering Managers to surface dependencies, unblock delivery, and ensure alignment across the organization.

Leading the Data Platform Engineering product

Drive the evolution of our data infrastructure and tooling — DataOps, CI/CD, data quality, environment management, and cost governance. You will own the pipelines feeding product analytics tools (Amplitude), ensuring reliable and well‑documented event flows. You will collaborate with FinOps initiatives to optimize cloud costs across the full data stack: Snowflake, AWS, and emerging tools such as ClickHouse and Astro.

Driving the Data Core mission

Ensure the Data Core team stays 100% focused on its transverse mission: technical support to domain squads, continuous improvement of data flows (drift detection, root‑cause analysis), technology watch and POCs, definition and dissemination of engineering guidelines, developer tooling and DX improvements, and robust monitoring and observability across the platform.

Contributing to Betclic's strategic transformation (Tech 2026)

Actively support key initiatives such as Data Mesh adoption, FinOps (cloud cost control across Snowflake, AWS, ClickHouse, Astro…), AI‑driven data engineering (LangGraph, Bedrock‐powered automation agents), and data governance (Snowflake access control, security posture, programmatic authentication).

Facilitating alignment and scaling collaboration

Lead product rituals (roadmap reviews, planning sessions, OKRs), ensure clear and impactful communication, and represent Data Platform & Core in cross‑functional discussions. As the organization grows, you will help structure and scale the product scope — with a natural split into dedicated PMs per team anticipated.

WHO ARE WE LOOKING FOR?

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.

THIS role is for you if:

• 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)

Bonus points:

• 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

WHAT CAN YOU EXPECT?

✅ 25 days of paid leave and 10 RTT days

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