Data Engineer - M/W

Contribute to the design of scalable, reliable, and high-performance data pipelines across our Data Platform and its ecosystem (data warehouses, APIs, event buses, visualization platforms)

• Take ownership of critical data domains, ensuring end-to-end reliability, observability, and performance
• Apply and improve data quality frameworks and best practices to ensure all metrics and datasets provided across the company are trustworthy and actionable
• Collaborate closely with stakeholders to anticipate data needs, identify bottlenecks, and proactively propose solutions
• Contribute to the evolution of our Data Platform strategy, including tooling choices, architecture patterns, and documentation
• Participate in incident response and root cause analysis on data-related issues, ensuring fast recovery and long-term resilience
• Share knowledge and best practices with team members, contributing to collective growth and helping raise engineering standards across the team, * Snowflake
• Airflow
• Python
• S3
• Kafka
• AI-assisted development tools (LLM-based coding assistants, etc.)

This role is a unique opportunity to have a high-impact technical footprint in one of Europe’s leading e-commerce platforms. You’ll work on complex, large-scale data challenges alongside talented engineers, and play a key role in shaping the future of our Data Platform, whether you’re passionate about system design, data reliability, or enabling data-driven decision-making at scale.

We’re on the hunt for a Data Engineer with proven experience in designing and building data systems in a fast-paced environment. The ideal candidate should:

• Have 2 to 4 years of experience in Data Engineering, with a strong command of SQL and Python in production-grade, orchestrated environments
• Demonstrate a solid understanding of data modeling, data pipeline architecture, and performance optimization
• Exhibit strong communication skills and the ability to thrive in a risk-taking, problem-solving, and continuously learning work environment
• Be comfortable leveraging AI-assisted development tools (code generation, documentation, debugging) as a natural part of their daily workflow, with the critical thinking to use them effectively
• Embody our company values of boldness, ingenuity, and responsibility, with a commitment to data quality and engineering excellence

In less than a decade, ManoMano has become a key player in the home improvement and renovation sector.

Launched in 2013, ManoMano is the reference online marketplace for DIY, home improvement and gardening. Co-founded by Philippe de Chanville and Christian Raisson, ManoMano brings together the largest offer of DIY & gardening online products: electricity, plumbing, hardware, frames, indoor and outdoor furniture, tools, etc. With more than 5 000 seller partners and 11 million products, ManoMano currently employs 500 people and operates in 6 markets (France, Belgium, Spain, Italy, Germany, United Kingdom).

Motivated by the prospect of improving the living environment of their customers and convinced of the importance of the home market for sustainable consumption habits, the ManoMano teams want to help write a new page in their industry, which is struggling to reform itself. ManoMano brings to a highly technical world the power of its sector expertise, combined with that of data and digital in all its dimensions, to offer our customers easy access to innovative advice, products and services 100% online.

The ambition of the Founders and, above all, of Manas & Manos? To accompany this sector transformation with a strong culture of boldness, in an ingenious and frugal organization that places people and teams at the heart of the company’s development.

Join Our Data Engineering Team!

At ManoMano, our Data Engineering team is at the heart of our data-driven culture. Nested within our comprehensive Data Department alongside data scientists and data analysts, we tackle the exciting challenges of big data at scale to drive business intelligence and innovation.