🛠 Tech Stack

💼 About This Role

You'll build and scale a reliable Data Platform on GCP at a quantum computing startup. Your impact: designing the data lake and ingestion architectures for quantum experiments. You'll drive data quality and platform best practices across the company.

🎯 What You'll Do

• Design and operate a scalable GCP data lake
• Build ELT pipelines from APIs, event streams, and scientific instruments
• Co-design ingestion pipelines for quantum experiment data
• Implement data validation, monitoring, and governance standards

📋 Requirements

• 5+ years in Data Engineering with production-scale data platforms
• Strong expertise in SQL, Python, and GCP data services
• Experience with Spark and lakehouse technologies (Iceberg, Delta Lake, Hudi)
• Solid understanding of data modeling, orchestration, CI/CD, and data governance

✨ Nice to Have

• Experience with scientific, hardware, or experimental data pipelines
• Experience in deeptech or quantum environments

🎁 Benefits & Perks

• 📈 BSPCE plan
• 💡 Direct IP Compensation for patents
• 🏠 Flexible remote policy up to 40% a month
• 👶 Parental plan with crèche support or extra days
• 🧘 Mental health support with moka.care

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Call· 30 min
2. 2Technical Interview· 60 min
3. 3Hiring Manager Interview· 45 min