Join EGYM as a (Senior) Data Platform Engineer in Munich, Berlin, or Paris. In this role, you will design scalable data models, own PII protection, establish governance and compliance frameworks, build a governed semantic layer, and mentor the data team. You should have 3+ years of experience in data engineering or platform engineering, hands-on experience with Snowflake, dbt, Fivetran, GCP, and orchestration on Airflow or Dagster, and experience with audit logging and governance.
About the role
* **Professional Experience:** You have 3+ years of experience in data engineering or platform engineering, ideally with exposure to regulated industries (HealthTech, FinTech, InsurTech, or similar) * **Platform Stack:** You bring hands-on experience with Snowflake, dbt, Fivetran, GCP (Pub/Sub, Dataflow), and orchestration on Airflow or Dagster. You are proficient in SQL and Python, comfortable with modern table formats (Parquet, Iceberg), and ideally have exposure to streaming and CDC patterns (e.g. Kafka) * **Privacy Engineer:** You have implemented PII protection in production, masking, pseudonymization, tokenization, and built GDPR-compliant workflows for subject rights * **Governance & Compliance:** You are experienced with audit logging, end-to-end and column-level lineage, RBAC/ABAC frameworks, data catalog tooling, and data contract patterns. You know the evidence requirements of SOC 2 or ISO 27001 and have supported audits in practice * **Engineering Dicsipline:** You have built CI/CD pipelines with testing, monitoring, and observability for production-grade data workflows; experience with Infrastructure-as-Code is a plus (e.g. Terraform) * **Collaborative mindset**: You are hands-on, proactive, and collaborative, able to bridge technical and business needs and coach the team along the wayKey missions
- Design scalable data models in Snowflake and build robust ingestion, transformation, and orchestration pipelines with dbt, Fivetran, and GCP.
- Own PII protection end-to-end, including masking, pseudonymization, tokenization, encryption with GCP KMS/Secret Manager, and GDPR workflows.
- Establish RBAC/ABAC frameworks, data catalog standards, data contracts, audit logging, and column-level lineage, keeping the organization audit-ready against SOC 2 and ISO 27001.
Benefits
- Between 1-2 days at home
- Cooptation bonus
- Team building
- Afterworks, Team lunches
- Sports allowance
- Bicycle storage
- Reimbursement above 50%