Data Engineer Engineering Paris Full-time · Permanent

Kleep; Paris; Hybride; EUR 80 000 - 110 000; Plein temps

Résumé du poste

Kleep is hiring a data pipeline engineer in Paris to build and operate the data backbone behind its fashion product. You will design pipelines that ingest brand catalogues, garment data and usage signals to power sizing and discovery, working closely with the CTO.

The role emphasizes reliability, data quality and production-grade delivery, with ownership of the full pipeline lifecycle and collaboration with a small, senior, international team in Paris and New York. CDI, full-time.

Qualifications

• 3+ years of experience in data pipelines or backend/engineering roles.
• Ability to design, build and operate production-grade data pipelines.
• Strong focus on data quality, reliability and traceability.

Responsabilités

• Design, build and operate pipelines ingesting brand catalogues, garment data and usage signals at production scale.
• Guarantee data quality, freshness and traceability feeding models and analytics.
• Integrate new data sources and features with the product team.
• Own the full lifecycle of pipelines: quality, security and performance.

Connaissances

3+ years experience

Team player

Fast learner

Autonomy

Curiosity

Outils

Git

Jira

TypeScript

React

Node.js

Python

AWS

Shopify

SFCC

Prestashop

Kotlin

Swift

Description du poste

Build the data backbone of Kleep's product alongside the CTO, from first design through to production deployment.

You will design and run the data backbone behind Kleep's products: the pipelines that turn brand catalogues, garment data and usage signals into the fuel for sizing and discovery, working directly with the CTO.

The seat suits an engineer who cares as much about reliability and data quality as about shipping fast, because every recommendation Kleep serves is only as good as the data underneath it.

The stack

You do not need to know all of it on day one.

• Front-end: TypeScript, React
• Back-end: Node.js, Python
• Cloud: AWS
• Tooling: Git, Jira
• A plus: the major commerce platforms (Shopify, SFCC, Prestashop)
• Also a plus: Kotlin or Swift

What you will do

• Design, build and operate the pipelines that ingest brand catalogues, garment data and usage signals at production scale
• Guarantee the quality, freshness and traceability of the data feeding Kleep's models and analytics
• Integrate new data sources and features designed with the product team
• Own the full lifecycle of your pipelines: quality, security and performance included

Who you are

• Passionate about technology, curiosity is one of your defining strengths, and complex problems are what you enjoy
• A fast learner who quickly identifies and acquires whatever skill the goal requires
• High energy, high intellectual horsepower
• Eager to take a leading role in an ambitious entrepreneurial venture
• A strong team player who operates with real autonomy
• 3+ years of experience
• Start date: as soon as possible (flexible)
• Contract: permanent, full-time (CDI)
• Location: Paris (9th arrondissement)

Why Kleep

Kleep builds the intelligence layer for fashion e-commerce: sizing, discovery and AI imagery that 300+ brands run in production, Givenchy, Lacoste and Victoria Beckham among them. Every product is proven in live A/B tests, not in decks.

We are a small, senior, international team with offices in Paris (9th arrondissement) and, since January 2026, New York. The company is led by its founders: Federico (CEO, previously in venture capital and private equity) and Théophile (CTO, an ENS and Mines Paris engineer who worked in trading and quantitative research at Morgan Stanley and BNP Paribas).

Ownership here is real: ideas are heard, feedback flows both ways, and impact is tangible from day one. We hold a high bar, celebrate together, weekly team drinks, monthly events, annual off-sites, and stay serious about the work, never about ourselves.