Data Engineering Technician - Full time

JR France; Paris; Hybride; EUR 45 000 - 65 000; Plein temps

Résumé du poste

A leading food-tech company is seeking a Data Engineering Technician to design and build data infrastructure for their AI-driven projects. The role involves operating data pipelines and conducting quality checks to support innovative culinary solutions. Candidates should have 3+ years of experience in data engineering and a passion for food science.

Prestations

Swile card for meals

Opportunity to shape AI stack

Collaborative culture

Flexible remote work

Dynamic work environment

Qualifications

• 3+ years of hands-on data-engineering experience.
• Practical experience with Databricks and Azure technologies.
• Familiarity with Python, Bash, and SQL.

Responsabilités

• Operate data pipelines that collect and transform data.
• Maintain data integrity with quality checks and documentation.
• Provide technical support for data issues.

Connaissances

Data engineering experience

Python

Bash

SQL debugging

Quality checks

Outils

Databricks

Azure cloud-warehouse technologies

ETL/streaming platforms

Description du poste

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Data Engineering Technician - Full time, paris

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Client:

The Mediterranean Food Lab (MFL)

Location:

paris, France

Job Category:

Other

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EU work permit required:

Yes

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Job Reference:

267016145831827865632761

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.