Senior Data Engineer H/F - 75

Lengow, an intelligent and automated e-commerce platform :

Since 2009, Lengow has been the indispensable e-commerce platform for multi-channel expansion in the European market: marketplaces, price comparison websites, affiliate marketing, display ad retargeting, social media, etc.Lengow is a leader in intelligent e-commerce solutions that help brands and retailers drive profitable growth across the digital shelf. With powerful feed management, global price monitoring, and robust data capabilities, Lengow's comprehensive SaaS product suite enables merchants to amplify product visibility online, outrun competition with informed pricing, multiply sales on marketplaces, and monitor brand presence among distributors. Since 2009, Lengow has fueled digital growth for over 3,600 customers across thousands of marketing and sales channels in over 60 countries.
Lengow is a profitable company.

Our Tech team

The Tech, Data, and Product team comprises 70+ people from diverse backgrounds, working in our offices in Nantes, Paris, and Barcelona. Our products are developed thanks to 6 autonomous product Teams, each working on a specific business domain.

The Data team

The Data team (5 members) plays a critical role in supporting both our internal operations and external data offerings across our four core products: NetMarkets, NetAmplify, NetRivals, and NetMonitor.
We achieve this through three main areas:
- Empowering internal teams with data-driven decision-making tools, including dashboards, analyses, and reports.
- Delivering scalable and maintainable custom data products - primarily dashboards and reports - tailored to client needs.
- Building data-based products and features that strengthen and expand our overall product offering.

The Data team: leading the data transformation

Lengow is currently in the middle of a data transformation. We're building a unified data offer to unlock the full potential of data across all our products. This will enable better decision-making, create synergies between client-facing data products, and support the development of data-driven features in close collaboration with other product teams.

At the same time, we are working to increase the scalability and automation of our client-facing data products - especially dashboards and custom reports - which currently still require manual intervention. Additionally:
- We are building and refining our data roadmap.
- We are strengthening collaboration with other product teams.
- We are revamping the data stack by introducing new tools such as dbt, Airflow, Cube, and others, to better align with our long-term data vision.

We operate as a product team, with a clear data roadmap that includes both technical and non-technical initiatives. As part of the team, you'll mainly focus on technical projects that you propose and agree on with the team, ensuring they deliver concrete business impact.
As of now, some of the most important technical projects in our 2026 data roadmap are:
- Enhancing the data warehouse model to improve clarity, consistency, and ease of analysis (including enabling new product features such as content compliance).
- Assessing, upgrading, or replacing current data tools to better support scale and maintainability (continuing the evolution of the data stack).
- Developing a scalable and maintainable approach to client-facing data products (productization of reports and dashboards).
- Category mapping and entity linking to better structure and enrich product data.

Missions and profile

This role is ideal for someone who enjoys solving concrete technical problems while delivering measurable business value. We strongly value your ideas and expect you to actively contribute to shaping technical decisions and improvements.
As a Senior Data Engineer, you'll work with large-scale datasets - thousands of catalogs, millions of products, and billions of data points collected from e-commerce websites. Your mission is to unlock the value of this data for Europe's leading e-commerce players.
Your key responsibilities will be:
- Custom data products:during your first 6-9 months, your primary focus will be on supporting, maintaining, and improving existing client-facing data products - mainly dashboards and reports. This includes hands-on work in data engineering and analytics, with the goal of stabilizing, improving, and preparing these assets for future automation and productization.
- Technical guidance:contribute to the ongoing data transformation by improving data models, strengthening data quality, and helping evolve the data stack and tooling.
- Contributing to the data roadmap:progressively take ownership of key technical initiatives from the data roadmap, such as improving the data stack, refining data models, productizing reports and dashboards, and contributing to new data-driven product features.

Recruitment process
- Pre-interview: Chat with Alexandre, Talent Acquisition Manager (30').
- 1st interview: Meet Sébastien (VP Data) and Edoardo (Data Product Manager) (45/60').
- 2nd interview: Present a technical case to Sébastien, Edoardo and Olivier (CTPO) (60').