Data Engineer

Inside

Data Engineer contributing technical expertise in data and AI for clients. Optimizing data flows and developing AI tools while collaborating with data analysts.

Posted 6/19/2026full-timeBordeaux • 🇫🇷 FranceMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

AzureDockerETLFluxKubernetesPythonSQLTerraform

About the role

Key responsibilities & impact

Join the Data team to contribute your technical expertise
Implement and optimize data feeds and data pipelines
Work in tandem with a Data Analyst on AI and data use cases
Develop and integrate AI agents for SQL querying
Maintain an active technology watch on modern data architectures

Requirements

What you’ll need

4 to 5 years of experience in data engineering
Strong proficiency in Python and SQL
Proven experience with ETL/transformation tools (DBT, Talend)
Solid knowledge of CI/CD and container environments (Git, Azure DevOps, Docker, Kubernetes, Terraform, Liquibase)
Familiarity with Power BI and a basic understanding of Artificial Intelligence concepts

Benefits

Comp & perks

Work-life balance
Skills development and training
CSR (Corporate Social Responsibility) commitment

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

PythonSQLETLDBTTalendCI/CDGitAzure DevOpsDockerKubernetes