Senior Data Engineer

• Maintain and ensure the reliability of the platform using Composer/Airflow, self-hosted Airbyte on GKE, BigQuery, dbt, and Terraform
• Own day-to-day operations: incident management and support for Data Analysts
• Design and enhance technical and functional testing, monitoring, and alerting
• Industrialize data ingestion through Airbyte; manage schema evolution and BigQuery external tables
• Supply business tools through reverse ETL and synchronizations with HubSpot, Gainsight, Intercom, and PostgreSQL
• Develop the webhooks → Pub/Sub → Cloud Run streaming architecture
• Extend the MCP Analytics layer to BigQuery and build the semantic layer to improve AI responses
• Manage costs and security: BigQuery slots, dbt routing, FinOps reviews, least privilege, and securing AI data access
• Participate in architecture decisions, code reviews, documentation, and continuous improvement
• Collaborate with Data Engineers, Data Analysts, and the Head of Data

• At least 5 years of Data Engineering experience with a major cloud provider, including responsibility for maintaining production systems
• Strong SQL skills and experience with complex dbt models (incremental materializations, snapshots, macros), with the ability to debug and optimize
• Solid experience ingesting data and orchestrating pipelines: debugging, schema drift, recovery, backfills, and impact analysis
• High-quality, well-tested, and proficient Python skills
• Daily use of Infrastructure as Code and CI/CD
• Experience working with a Coding Agent and the ability to review and validate its output
• Proactive, rigorous, humble, and passionate about sharing knowledge and helping colleagues grow
• Comfortable working in a partially remote team
• Minimum B2 level of English
• Experience with a semantic layer, GCP Knowledge Catalog, or data governance—a major plus
• Experience with event-driven architectures—a major plus
• GCP experience: BigQuery, Composer, Cloud Run, GKE / Helm—a plus
• Experience building tools for AI agents—a plus
• Experience with HubSpot, Gainsight, and Intercom integrations—a plus
• Experience building data pipelines using Change Data Capture—a plus
• Contributions to the Airbyte ecosystem—a plus

• SYNTEC vacation bonus
• 39-hour workweek, including 4 paid overtime hours
• 25 days of paid vacation plus 10 flexible days off (available from your start date)
• Alan health insurance (family coverage available)
• Swile meal vouchers (€11/day, including €6.50 covered by the company)
• Works Council benefits: annual gift card, Gymlib / EGYM Wellpass, and more
• Fully remote, with occasional trips to Lyon for team events