📋 Description

• Design, ship data products, pipelines, and services powering data lake, experimentation, and
• Build and maintain data lake infrastructure and pipelines (e.g., Spark) for analytical and
• Explore large-scale datasets to quantify product impact and inform system design.
• Leverage AI/ML to enhance development of software and data products.
• Collaborate with data engineers, ML engineers, and product teams; mentor junior engineers and data

🎯 Requirements

• BSc/Master's or PhD in CS, Data Science, ML, Statistics, or related field.
• 5+ years as software engineer on data-intensive systems with data science/ML exposure.
• Strong fundamentals: clean architecture, testing, CI/CD in data/ML workflows.
• Hands-on with distributed processing (e.g., Spark) and data lake infrastructure at scale.
• Cloud data platforms (AWS preferred); Python, pandas, NumPy, scikit-learn, SQL.
• Data intuition: inspect raw logs, design metrics, identify quality regressions.

🎁 Benefits

• Hybrid work model with office and remote work; relocation package offered for international hires.
• Competitive compensation, unlimited vacation + 25 days holidays, company-paid volunteer days.
• Fitness centre access, travel card reimbursement, French language classes partially reimbursed