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# Senior Software Engineer Python / Data Platform

- **Company:** INFORMATIS TS
- **Location:** Poitiers, France
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Agile Methodology, Airflow, Amazon Web Services, Amazon S3, Automation of Tests, Continuous Integration, Data Infrastructure, Python (Programming Language), Scrum Methodology, Software Architecture, Software Engineering, SQL Databases, Apache Spark, Technical Debt, Git, Gitlab-ci, AWS Fargate, Terraform, Docker, Databricks
- **Published:** July 2, 2026
- **Apply:** http://informatis-ts.fr/offre_detail.php?id_offre=3376

## About the Role

Minimum 5 ans d'expérience en développement logiciel avec forte expertise Python, expérience en architecture logicielle, environnements cloud (AWS), data platforms et CI/CD.

Qualités attendues :

Autonomie, rigueur, esprit d'analyse, capacité à proposer des solutions techniques et à travailler en environnement Agile.

## Description

Nous recherchons pour l'un de nos clients grands comptes un Senior Software Engineer Python / Data Platform (H/F) dans le cadre d'un CDI.

Vous interviendrez sur une plateforme Data stratégique permettant la configuration et l'orchestration de traitements de données. L'objectif est de moderniser l'application afin d'améliorer sa maintenabilité, scalabilité, robustesse et performance.

Vous travaillerez en étroite collaboration avec les équipes Data, Product Owners et Architecture pour faire évoluer les standards techniques et les bonnes pratiques de développement.

Missions principales :
Concevoir, développer et maintenir une application Python d'orchestration de traitements de données
Moderniser l'architecture applicative et réduire la dette technique
Mettre en place une stratégie complète de tests automatisés (unitaires, intégration, CI/CD)
Développer des composants génériques et réutilisables
Collaborer avec les équipes Data Engineering sur les pipelines de données
Participer aux choix d'architecture et aux décisions techniques
Promouvoir les bonnes pratiques de développement et d'industrialisation
Environnement technique :

Python, SQL, Spark, Databricks, Airflow, AWS (S3, ECS, Fargate), Docker, Git, GitLab CI/CD, Terraform, Lakehouse, Agile Scrum


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