Senior Data Engineer

📋 Description

• Maintain and make reliable the data platform: Composer (Airflow), Airbyte self-hosted on GKE
• Industrialize data ingestion: collect sources via Airbyte (API or CDC), manage schema evolution and
• Feed business tools: reverse-ETL and syncs between HubSpot, Gainsight, Intercom, and PostgreSQL via
• Extend the AI access layer: extend MCP Analytics to BigQuery, build the semantic layer for quality
• Control costs and security: BigQuery slot reservations, dynamic dbt build routing, monthly FinOps

🎯 Requirements

• Minimum 5 years experience in Data Engineering on a major Cloud Provider with production
• Advanced SQL + complex dbt models (incremental materialization, snapshots, macros) and
• Solid experience in pipeline ingestion and orchestration: debugging, schema drift, backfill, impact
• Quality Python, tested and mastered - maintainability and reliability at the heart of your practice
• Infrastructure as Code and CI/CD on a daily basis
• English B2 minimum

🎁 Benefits

• CDI (permanent contract), 39h fixed rate with 4h extra paid
• Full remote with occasional visits to Lyon for team moments
• 25 days paid leave + 10 flexible days (usable from arrival)
• Alan health insurance (family extension possible), Swile meal vouchers (€11/day, €6.50 covered)
• CSE benefits: annual KDO card, Gymlib/EGYM wellpass, and more
• Role in an AI-first fintech scale-up, FT120, €145M raised, 8000+ clients