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Publié il y a 126 jours

(Senior) Data Platform Engineer (m/f/d)

Entreprise
EGYM Wellpass - Ex GymlibRecrute en direct
Localisation
Paris, Ile-de-France, France
Hybride
Type de contrat
CDI
Niveau
Mid

Salaire du marché

Médiane du marché
46k€
Estimation
43k€fourchette habituelle55k€

Cette offre n'affiche pas de salaire. D'après 19 offres pour ce poste (Mid, Paris), le marché se situe autour de 46k€ (43k€–55k€).

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Description du poste

Join EGYM as our (Senior) Data Platform Engineer (m/f/d) in Munich, Berlin or Paris! In this pivotal role, you will shape the data foundation that powers EGYM Wellpass and EGYM Technology, with a strong focus on PII data handling, auditability, and compliance. If you’re an experienced data expert who cares about scalable platforms, trusted data, and privacy by design, this is your opportunity to make a significant impact.

  • Platform & Pipelines: You design scalable data models in Snowflake and build robust ingestion, transformation, and orchestration pipelines with dbt, Fivetran, and GCP, with quality, observability, and CI/CD baked in from day one

  • Privacy Engineering: You own PII protection end-to-end, masking, pseudonymization, tokenization, encryption with GCP KMS/Secret Manager, and GDPR workflows including right-to-be-forgotten and data subject access requests

  • Governance, Audit & Compliance: You establish RBAC/ABAC frameworks, data catalog standards, data contracts, audit logging, and column-level lineage, keeping us audit-ready against SOC 2 and ISO 27001 in close partnership with Security and Legal

  • Semantic Layer & AI-Readiness: You build and maintain a governed semantic layer (e.g. dbt MetricFlow, Snowflake Semantic Views) as the authoritative definition of business metrics, the foundation for self-service BI and AI-powered analytics

  • Team Enablement & Cost Stewardship: You mentor the data team in engineering best practices, secure data handling, and establish cost monitoring across pipelines to drive proactive platform optimization

Exigences du poste

Stack technique :

SnowflakedbtFivetranGoogle Cloud PlatformGCP KMSGCP Secret ManagerRBACSOC 2ISO 27001dbt MetricFlowSnowflake Semantic Views

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