Founding Senior Data Engineer – Platform & Analytics – Paris/Remote (M/F/X)

Join us and experience something truly unique in your career

💰 €70K to €90K per year depending on seniority

📍 Paris-based role with frequent remote flexibility

⏳ Start ASAP – CDI / Permanent contract

🏗 Founding Senior Data Engineering role: first owner of the future Data Engineering squad

🛠 100% hands-on role at the start

🧭 Scope: data platform ownership, roadmap, delivery, standards and future hiring bar

🛠 Stack: Snowflake, dbt, Airbyte, Metabase, Airflow/similar, SQL, Python, GCP/AWS

🌍 English fluent required

Join a profitable (certified B Corp) European consumer tech scale-up building the future of online shopping. The product already helps millions of users shop smarter, save money and make better purchasing decisions across thousands of merchants.

This is not a classic Senior Data Engineer role.

The company is now looking for a Founding Senior Data Engineer who will take ownership of the Data Engineering foundations, remain deeply hands-on, and progressively become the operational manager of the future Data Engineering squad when it is created.

The Data Engineering squad does not exist yet, but it will be created. The person joining now will be the founding profile for this perimeter.

You will help the team:

• Build data as a product: trusted datasets used company-wide for reporting, experimentation, automation and internal tools
• Own and evolve a modern data platform supporting product, AI, growth, monitoring and governance
• Structure the Data Engineering roadmap and technical standards
• Improve reliability, quality, observability and documentation across the platform
• Prepare the foundation for future Data Engineering hiring and team management

• Snowflake for data warehousing
• dbt for transformation, modeling and analytics engineering foundations
• Airbyte for ingestion
• Metabase for dashboards and self-serve analytics
• Airflow or similar orchestration tools for pipeline orchestration
• SQL and Python as core technical skills
• Cloud environments such as Snowflake, GCP or AWS
• Testing, monitoring, alerting, documentation and access governance across the platform

• Take ownership of the Data Engineering foundation and act as the founding profile for the future squad
• Scale the data infrastructure to make it more reliable, scalable and cost-efficient
• Design and maintain robust data pipelines ingesting from internal systems, APIs and external tools
• Improve dbt project organization, factorize jobs and strengthen transformation quality
• Manage data access and governance across tools such as Snowflake and Metabase
• Build a clear Data Engineering roadmap and prioritize technical initiatives
• Partner with the Data Analysts squad to make data more reliable and scalable
• Support product, AI, marketplace intelligence, growth and international expansion use cases
• Contribute to the technical evaluation, onboarding and standards of future Data Engineering hires

We are looking for a strong Founding Senior Data Engineer deep hands-on technical foundations, proven platform ownership and the ability to grow into the operational manager of a future Data Engineering squad.

You should not be a pure manager detached from delivery. This role starts as a 100% hands-on position.

You should also not be a classic individual contributor only. The company needs someone able to structure, own, set standards, drive roadmap and prepare the future team.

You may be a strong fit if you have:

• At least 6 to 8+ years of professional experience in data engineering or a similar role
• A track record building, owning or scaling a modern data platform
• Strong hands-on experience with stacks such as Airflow, dbt, BigQuery/Snowflake, Airbyte/Fivetran or event streaming
• Proficiency in SQL and Python
• Hands-on experience with orchestration tools, cloud environments and data warehouses
• Proven ability to improve reliability: testing, monitoring, alerting, observability and documentation
• Experience setting technical standards, not only executing tickets
• Ability to build and prioritize a Data Engineering roadmap
• Strong ownership across architecture, delivery and stakeholder alignment
• Ability to work closely with Data Analysts, Product Managers, Engineers and business teams
• Mentoring, onboarding, technical evaluation or hiring exposure is a strong plus
• Strong written and spoken English

• Top-market compensation and equity for everyone
• Flexible remote: Paris employees can choose office or home with no constraints
• Coworking access and budget for employees living elsewhere
• Work from anywhere from most countries in the world up to 3 months per year
• Half-day each week dedicated to leveling up with AI: exploring tools, iterating and sharpening skills
• Yearly offsite in strong locations, plus team-building events and monthly in-person gatherings
• ClassPass contribution
• 8-week leave paid 100% for the second parent

• 💰 Salary: €70K to €90K gross per year depending on seniority
• 📝 Contract: CDI / Permanent contract
• 📍 Location: Paris with frequent remote flexibility
• 🏠 Remote: frequent remote possible depending on location and profile
• 🌍 Language: English fluent required
• 🇫🇷 French: not mandatory
• ⏳ Start date: ASAP / depending on notice period
• 🎯 Process: selective process with strong attention to ownership, technical depth, data quality, career narrative and motivation

• Intro call with the Hiring Manager or Talent team
• Team interview: 45-minute conversation with two team members
• Tech assessments: live coding interview and system design interview
• Leadership / founder stage and references depending on the process