Senior Data Engineer

Lengow; Nantes; Hybride; EUR 40 000 - 60 000; Plein temps

Résumé du poste

A leading e-commerce solutions provider in Nantes seeks a Senior Data Engineer to support and enhance custom data products, lead data transformation, and collaborate with cross-functional teams for impactful solutions. Candidates should have over 5 years of experience in data engineering, expertise in SQL and Python, and exhibit proactive and flexible teamwork skills. This role offers a vibrant work environment with numerous benefits, including three remote days per week and flexible hours.

Prestations

Ticket restaurant of 8 euros per day

Private health insurance

3 remote days per week

Flexible working hours

Bike mileage allowances

Remote allowances

Professional events participation

Weekly Happy Break events

Minimum 9 additional days off beyond legal leave

Choice of laptop OS

Qualifications

• Proven experience (5+ years) in data engineering or a similar role in a SaaS or e-commerce-focused organization.
• Skilled in coding, data modeling and design, and aligning technical solutions with business goals.
• A natural communicator who fosters teamwork and inspires others.
• Proactive, autonomous, and flexible in a small team environment.

Responsabilités

• Support and enhance current custom data products.
• Lead evolution of data transformation by improving data model and optimizing tools.
• Propose and deliver key technical projects from the data roadmap.
• Collaborate with Product and Commercial teams for high-quality solutions.

Connaissances

SQL

Python

Data modeling

Data visualization

ETL/ELT tools

BigQuery

Google Cloud

Good communication

Formation

5+ years in data engineering or related role

Outils

AirFlow

dbt

Apache NiFi

Talend

Looker Studio

Metabase

Description du poste

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 six autonomous product Teams, each working on a specific business domain.

The Data team

The Data team (currently 3 members) plays a critical role in supporting both our internal operations and external data offerings across our 4 core products: NetMarkets, NetAmplify, NetRivals, and NetMonitor.

Our team's vision is simple: "to become a key driver of growth for Lengow and its clients". We achieve this through three main areas:

1. Empowering internal teams with data-driven decision-making tools, including dashboards, analyses, and reports.
2. Delivering scalable, and easily maintainable custom data products - such as dashboards and custom analyses - tailored to meet client needs.
3. Guiding product development by providing actionable insights and data-driven features.

The Data team: leading the data transformation

Lengow is currently in the middle of a data transformation. After a recent acquisition, 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 in client-facing data products, and support the development of data-driven features in collaboration with the product team.

At the same time, we’re focused on increasing scale and automation our client-facing data products, such as dashboards and custom reports, which currently require manual intervention. Additionally, our current data warehouse setup needs improvement to simplify data retrieval and analysis. We’re also reassessing whether our existing tools (ETL/ELT, data visualization, etc.) align with our long-term data vision.

We operate as a product team, following Scrum, with a clear data roadmap that includes both technical and non-technical projects. As part of the team, you’ll primarily focus on technical projects that you propose and agree with the team, ensuring they deliver tangible business impact.

As of now, some of the most important technical projects in our 2026 data roadmap are:

• Enhance the data model of the data warehouse to improve clarity and ease of analysis.
• Assess and upgrade - or replace - current data tools to better meet our needs.
• Develop a scalable, maintainable approach for building custom data products for clients.

Missions and profile

This role is perfect for those who thrive on tackling technical challenges while delivering measurable business impact (because tech exists to drive business value!). We value your ideas and encourage you to propose and lead technical improvements and impactful projects.

As a Senior Data Engineer on our newly formed team, you’ll work with vast datasets - thousands of catalogs, millions of products, and billions of entries from e-commerce websites. Your mission: unlock the full potential of this data to create value for Europe’s leading e-commerce players.

Your key responsibilities will be:

• Custom data products: in the short term (6-9 months), support and enhance the custom data products we currently offer clients, involving both data engineering and analytics tasks.
• Technical guidance: lead the evolution of our data transformation, including improving the data model and optimizing data tools.
• Technical project management: propose and deliver key technical projects from our data roadmap, such as improving the data stack, refining data models, or developing scalable frameworks for client data products (after you get familiar with them in your first months).
• Collaboration: partner with cross-functional teams, including Product and Commercial, to define and implement high-quality, impactful solutions.

Recruitment process

1. Pre-interview: Chat with Alexandre, Talent Acquisition Manager (30').
2. 1st interview: Meet Sebastien (VP Data) (45/60').
3. 2nd interview: Present a technical case to Sebastien and a member of the team (60').

We’re seeking a proactive, collaborative, and impact-driven professional to join our team. Here’s what you bring to the table:

• Proven experience (5+ years) in data engineering or a similar role in a SaaS or e-commerce-focused organization.
• Skilled in coding, data modeling and design, and aligning technical solutions with business goals.
• A natural and kind communicator who fosters teamwork and inspires those around them.
• A proactive, autonomous and flexible professional. Working in a small team can mean juggling with roles of Data Analyst, Data Engineer, etc.
• Experience with SQL, Python, BigQuery, Google Cloud, ETL/ELT tools (e.g., AirFlow, dbt, Apache NiFi, Talend), and data visualization tools (e.g., Looker Studio, Metabase).
• You are business fluent in English (any other language is a plus; we mainly speak English, Spanish, Catalan, French, and Italian in our offices).

We highly value your ideas and welcome recommendations on tools and technologies to amplify our business impact!

Bonus points if you:

• Know and are passionate about web and e-commerce.
• Bring fresh perspectives to our data challenges.

✨ Joining Lengow is also an opportunity to benefit from many advantages :

• Ticket restaurant 8 euros by day
• Malakoff Humanis Private insurance & Prevoyance.
• 3 Remote days per week
• Flexible hours
• Bike mileage allowances or 50% of transportation tickets.
• Remote allowances
• Professional events (Devoxx, Meetup ...) and regular internal cohesion.
• Weekly Happy Break on Thursday Evening at the office with food and beverage
• Syntec forfait jours with RTT - 218 annual working days, ie minimum 9 days off on top of 5 weeks legal paid leave
• Choose your laptop OS. You can work on MacOS, Windows or Linux.