Senior Data Engineer

About this role

📋 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

Source listing: empllo_remote