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Salary
$62k – $78k per year
Location
Hybrid (Clermont-Ferrand, France)
Seniority
Staff · 5+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Nov 3, 2026. First seen by Alion on Sep 21, 2026.

Overview
Company
Impact
Profile match
Thelio is a French consulting company specialised in data and artificial intelligence. Its consultants design data architectures, build data pipelines, reporting and dashboards, and work as ML engineers and tech leads for clients, with offices in Bordeaux, Toulouse, Lyon and Clermont-Ferrand. The company is headquartered in Bordeaux, France.

Rejoins Thélio, une entreprise spécialisée dans la modernisation et la structuration des écosystèmes Data et IA. En tant que Tech Lead / Architecte Data & IA, tu seras impliqué dans des projets stratégiques, de la conception de l'architecture cible à la mise en production. Tu garantiras la performance, la robustesse et la scalabilité des plateformes tout en promouvant les bonnes pratiques d'ingénierie et d'architecture au sein des équipes.

Missions

  • Concevoir et faire évoluer les architectures Data & IA, en définissant les modèles cibles et en orientant les choix technologiques.
  • Concevoir et industrialiser les pipelines d’ingestion et de transformation pour alimenter les datalakes, lakehouses.
  • Mettre en place les environnements de déploiement et d’exploitation selon les standards DevOps et DataOps, en assurant la cohérence globale des modèles et des flux.

Profil recherché

Pour t’épanouir sur ce poste, il faut aimer conjuguer **expertise technique, vision d’ensemble et leadership** :

* 5 ans d’expérience minimum sur des projets Data d’envergure.

* Solide expérience en **modélisation, architecture, conception et déploiement** de plateformes Data (Datawarehouse, DataLake, Lakehouse).

* Maîtrise du **SQL** et d’au moins un langage de scripting (Python, Scala, etc.).

* Bonne compréhension des **enjeux IA / ML** : préparation de données, MLOps, pipelines de features, intégration de modèles

* Vision globale des **architectures Data Cloud** (Azure, GCP ou AWS).

* Connaissance des principes **CI/CD, Infrastructure as Code, DataOps, monitoring et testing**.

* Appétence forte pour l’innovation et la veille technologique.

* Bon niveau d’anglais technique.

**Stack technique (indicative)**

* **Data Integration / Orchestration** : Airbyte, Fivetran, DBT, Apache Airflow, Dagster, Azure Data Factory, AWS Glue

* **Data Platform** : Databricks, Snowflake, BigQuery, MS Fabrics, Amazon Redshift, AWS Athena, Delta Lake

* **Infra / DevOps** : Terraform, Azure DevOps, Docker, Kubernetes

* **Langages** : SQL, Python, Spark

* **MLOps / IA (plus)** : MLflow, Feature Store, Vertex AI, Azure ML, Databricks ML, APIs LLM

*(Les outils de data visualisation ne sont pas au cœur du poste, mais une compréhension des enjeux de restitution est un plus.)*

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