Senior Data Engineer

🚀 A high-quality Senior Data Engineering opportunity

Join a profitable 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.

The company is a certified B Corp, has reached profitability in its core market, and is now scaling internationally with a strong focus on the US.

The product suite spans cashback, automatic coupons, price alerts, carbon tracking, AI-powered shopping assistance and large-scale e-commerce data.

🧚🏻♂️ The Data team

The Data team turns data into a true product powering insights, automation and innovation across the company.

Today, Data Analysts handle full-stack responsibilities from dashboards and analyses to pipelines. The company is now hiring its first dedicated Senior Data Engineer to own the infrastructure and set new standards for scalability and reliability.

You Will Help The Team

• Build data as a product: trusted datasets used company-wide for reporting, experimentation, automation and internal tools
• Operate and evolve a modern data stack supporting growth, monitoring and governance
• Deliver actionable insights and power AI through reporting, self-serve dashboards and data tools
• Spread data culture by making data accessible, documented and trustworthy

🛠️ Tech stack

• 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

🎯 What you will do

• 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
• Implement monitoring, testing and alerting to ensure freshness, reliability and accuracy
• Manage data access and governance across tools such as Snowflake and Metabase

Profil Recherché

👀 What we are looking for

We are looking for a strong senior data engineer with a solid technical foundation, strong ownership and a genuine product/data impact mindset.

You May Be a Strong Fit If You Have

• At least 5 years of experience in data engineering or a similar role
• Track record building or scaling a modern data stack such as Airflow, dbt, BigQuery/Snowflake or event streaming
• Proficiency in SQL and Python
• Hands-on experience with orchestration tools, cloud environments and data warehouses
• Strong data modeling, warehousing and performance optimization skills
• Clean architecture, documentation and continuous improvement mindset
• Ability to communicate clearly with technical and non-technical stakeholders
• Strong written and spoken English

💎 Perks & benefits

• 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

📌 Practical details

• 💰 Salary: €75K to €85K 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

🧪 Recruitment process

• 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

Présentation De La Structure

Join us and experience something truly unique in your career