Data Engineering Technician - Full time

JR France; Les Ulis; Hybride; EUR 45 000 - 75 000; Plein temps

Résumé du poste

Une startup innovante, le Mediterranean Food Lab, recherche un ingénieur en données pour concevoir des infrastructures de collecte de données. Vous aurez l'occasion de jouer un rôle clé dans un environnement alimentaire dynamique, axé sur la science et l'innovation, tout en bénéficiant d'un cadre flexible et créatif.

Prestations

Carte Swile pour les repas

Culture collaborative alliant créativité culinaire et expertise technologique

Environnement dynamique et amusant

Qualifications

• Expérience pratique avec des plateformes ETL modernes.
• Connaissance solide de la gestion des flux de travail versionnés.

Responsabilités

• Exploiter les pipelines de données pour collecter et transformer des enregistrements.
• Assurer la qualité des données avec des contrôles systématiques.

Connaissances

Python

SQL

ETL

Data Engineering

Bash

Formation

Expérience en ingénierie des données de 3+ ans

Outils

Databricks

Azure

Description du poste

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Client:

The Mediterranean Food Lab (MFL)

Location:

Job Category:

Other

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EU work permit required:

Yes

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Job Reference:

267016145831827865632760

Job Views:

2

Posted:

10.06.2025

Expiry Date:

25.07.2025

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Job Description:

Contract: CDI – full-time, Paris/Île-de-France (hybrid) (3days on-site/2days remote)

About The Mediterranean Food Lab

The Mediterranean Food Lab (MFL) is a Flavor company on a mission to shape the future of food through science‑driven fermentation and culinary creativity. Rooted in our culinary creativity, we craft natural flavours made from real foods that deliver authentic deliciousness to every dish.

We are an AI‑driven startup, building advanced models that help us solve complex problems and accelerate innovation across our R&D pipeline. Our objective is to accelerate R&D cycles, democratise access to expert knowledge, and create better‑tasting, sustainable foods for global partners.

Mission

Design and build the data-gathering infrastructure, and guarantee that every dataset required by the internal knowledge platform is ingested, validated and available on schedule, providing the stable foundation on which AI agents and analytics rely.

Core Responsibilities

· Operate data pipelines that collect, transform and load records from lab instruments, ERP systems, third-party APIs and external partners into cloud storage and graph databases.

· Maintain data integrity through systematic quality checks, lineage tracking and audit-ready documentation compliant with food-safety standards.

· Provide technical support for day-to-day data issues (formats, encodings, connectivity) and contribute to continuous improvement of tooling and workflows.

Ideal Profile

· 3+ years of hands-on data-engineering experience designing, building and operating production-grade pipelines.

· Practical experience with Databricks, modern ETL/streaming platforms and Azure cloud-warehouse technologies.

· Familiarity with scripting in Python or Bash, SQL debugging and version-controlled workflow management.

· Methodical, service-oriented, and comfortable communicating progress or blockers to multidisciplinary teams in English.

· Genuine passion for food, flavour science and the global food system is a strong plus.

What We Offer

· Swile card for your meals

· The opportunity to shape a first-of-its-kind AI stack in the food-tech company.

· A collaborative culture that mixes culinary creativity with deep-tech expertise.

· Modern facilities in the Paris area and flexibility for remote work up to two days per week.

· A dynamic, fun environment working on cutting-edge food science with an amazing team.

To Apply

Send your CV and a brief motivation letter to [emailprotected] with the position title in the subject line.

MFL celebrates diversity and is committed to equal-opportunity hiring.