Senior Data Platform Engineer - Data Operations Team (m/f/d)
Hybrid · Paris, Île-de-France, France
Job Summary
Senior Data Platform Engineer on the Data Operations team responsible for building and operating the data infrastructure that ingests hundreds of millions of streaming events daily, maintains data pipelines (Kafka, MariaDB, Segment), and supports ingestion on prem and in the cloud. You will work with Spark/Scala, Python, SQL, and BigQuery for ETL, participate in Airflow-driven scheduling of GCP jobs on Spark and BigQuery, monitor pipelines and budgets, and collaborate with Business Analysts, Royalties, and ML Engineers to deliver fit-for-purpose data solutions. The role requires strong CI/CD, monitoring, and FinOps practices, experience with Kubernetes/Terraform/Ansible, and excellent English communication; a hybrid remote work policy applies. Nice-to-haves include experience with GCP, Iceberg, Kafka Connect, and visualization/monitoring tools (Grafana, Lookerstudio).
Required Qualifications
- 5+ years of experience in Data Platform Engineering
- Solid experience with Ops topics (CI/CD, monitoring, infrastructure, Software deployment, Finops) and tools (Ansible, Terraform, Kubernetes)
- Solid experience with Spark/Scala, Python, SQL, BigQuery and ETL management
- Proactive, organized and with strong team spirit
- Fluent in English
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