Build and evolve our Data Platform
You are responsible for its day-to-day reliability: you implement observability metrics, monitor performance, investigate alerts and optimize our ingestion pipelines.
You have real latitude to identify areas for improvement and propose them to the team, whether in architecture, tools or processes.
Accelerate the work of Analytics Engineers and Data Analysts
You are their primary technical partner: you support them in data modeling and transformation, challenge their SQL queries, and help evolve their practices on the platform.
Develop concrete solutions
You write code, automate workflows, connect external APIs with a constant focus on quality, testability and readability.
You use generative AI (Claude Code, Copilot) as a daily accelerator to speed up development, improve code quality and automate repetitive tasks.
Contribute to engineering as a whole
From technical scoping to production deployment, you are involved across the entire cycle: defining appropriate architectures, following security and compliance best practices (GDPR), managing critical incidents and writing actionable post-mortems.

Requirements

Minimum 3 years of experience in data engineering or a similar role
Master's degree (Bac+4/5) in Computer Science, Engineering or equivalent
Strong proficiency in Python, with a strong interest in data manipulation
Advanced SQL skills for data transformation and querying
Experience with an orchestrator (e.g., Airflow) and a transformation tool (e.g., dbt)
Good level of technical English
Experience or knowledge of Kubernetes (k8s) for deployment and infrastructure management (nice to have)
Experience with Terraform or other Infrastructure as Code (nice to have)
Knowledge of GitOps practices (ArgoCD, Helm, versioning) (nice to have)
Comfortable using generative AI tools (Claude Code, Copilot, etc.) as a daily lever (nice to have)
Familiarity with data visualization tools (Metabase or equivalent) (nice to have)
Curious, proactive and action-oriented: you enjoy learning, exploring and following through on your ideas.

Benefits

Meal vouchers (Swile): €10.50/day, 50% covered by Yousign.
Health insurance (Alan): Basic plan at €62.50/month, 50% covered by Yousign.
Life & disability insurance: 100% employer-covered.
Wellbeing: Axomove (4 physio sessions) and Moka.care (4 therapy/coaching sessions).
Transportation: 50% reimbursement for public transport for hybrid workers.
Leeto: Access to numerous employee discounts (cinema, travel, leisure, sports, etc.).
Time off: 10 RTT days/year, plus menstrual leave, parental benefits, seniority days and the "journée de solidarité".
Additional benefits: 1 volunteering day/year, learning & development budget, and more.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

PythonSQLdata engineeringdata manipulationdata transformationAirflowdbtKubernetesTerraformGitOps

Soft Skills

curiousproactiveaction-orientedsupportivecollaborative

Certifications

Master's degree in Computer ScienceMaster's degree in Engineering