Tech Lead Data Engineer H/F

Jems Group • Python • SQL • Scala • Talend • Matillion • 20 days ago
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Salary
$56k – $78k per year
Location
Hybrid (Lyon, France)
Seniority
Staff · 5+ years exp
Employment
Full-Time

First seen by Alion on Sep 25, 2026.

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Jems Group

Jems Group is a French IT consulting group working in data and artificial intelligence, whose consultants help business teams use their data for decision making. It hires data analysts, data modelers, AI engineers, data engineering tech leads and TypeScript developers, with teams in Levallois-Perret, Lyon and Annecy. The company is headquartered in Levallois-Perret, France.
jems-group.com • HQ: Levallois-Perret, France • Data Engineering & Migration Services • Analytics & BI Consulting
Tech stack of Jems Group
Backed by Omnes Capital

Nous recherchons un(e) Tech Lead Data Engineer capable de trouver des solutions innovantes et robustes à l'ensemble des problématiques Data.
Vous aurez la charge de :
• Assurer la mise en œuvre de l'accès, du référencement et de la qualité de la donnée
• Assurer l'industrialisation, la supervision et l'intégration des solutions
• Rédiger les normes de développement
• Participer à la rédaction du manuel d'exploitation
En tant que Tech Lead, vous savez :
• Vous présenter et promouvoir des architectures data face au client
• Identifier et comprendre les besoins métiers
• Former, encadrer et faire évoluer les consultants juniors
• Participer à la réponse aux appels d'offres (avant-vente)

Référence de l'offre : dedbg6qwsh

Profil recherché

En tant que Tech Lead Data Engineer vous maîtrisez :
• Le langage SQL
• Un langage objet (Python, JAVA, Scala)
• Un framework de calcul distribué
• Un bus de messages: Kafka, RabbitMQ
• Des Outils d'alimentation de données: Talend, Matillion, Stambia
• Des Moteurs de recherche: suite ELK (ElasticSearch, Logstash, Kibana), SolR, services Cloud
• Le Stockage des données: stockage objet et/ou distribué (HDFS, deltalake ou blob/S3)
• L'intégration continue (Git, JUnit, SonarQube, Jenkins)
• Un cloud provider (AWS, GCP, Azure) ou une distribution Big Data (Hortonworks, Cloudera, Datastax)
• Les concepts de la modélisation relationnelle et non-relationnelle
Diplômé(e) d'une école d'ingénieur ou d'une université, vous justifiez d'une expérience professionnelle d'au minimum 5 ans dans un contexte projet Data. Rigoureux(se), proactif(ve) et autonome vous restez en veille technologique et êtes force de proposition. Vous êtes capable de prendre de la hauteur et vous adapter aux enjeux du projet.

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