Xempus AG
Senior Analytics Engineer(m/w/x)
Vollzeitmit HomeofficeSenior
München
Neuer Job?Nejo!
Dein persönlicher KI-Karriere-Agent
EGEGYM
(Senior) Data Platform Engineer(m/w/x)
München, Berlin
Vollzeitmit HomeofficeBerufserfahren
Nejo KI-Zusammenfassung
Designing scalable data models in Snowflake and building PII-compliant data pipelines with dbt and GCP. 3+ years of data engineering experience in regulated industries required. 30 days vacation, free Wellpass training, and hybrid work.
Anforderungen
- 3+ years of experience in data engineering or platform engineering
- Exposure to regulated industries (HealthTech, FinTech, InsurTech)
- Hands-on experience with Snowflake, dbt, Fivetran, GCP (Pub/Sub, Dataflow)
- Orchestration on Airflow or Dagster
- Proficiency in SQL and Python
- Comfortable with modern table formats (Parquet, Iceberg)
- Exposure to streaming and CDC patterns (e.g. Kafka)
- Implemented PII protection in production
- Implemented masking, pseudonymization, tokenization
- Built GDPR-compliant workflows for subject rights
- Experienced with audit logging
- Experienced with end-to-end and column-level lineage
- Experienced with RBAC/ABAC frameworks
- Experienced with data catalog tooling
- Experienced with data contract patterns
- Knowledge of SOC 2 or ISO 27001 evidence requirements
- Supported audits in practice
- Built CI/CD pipelines with testing, monitoring, and observability
- Experience with Infrastructure-as-Code (e.g. Terraform)
- Hands-on, proactive, and collaborative mindset
- Able to bridge technical and business needs
- Able to coach the team
Aufgaben
- Design scalable data models in Snowflake
- Build robust data ingestion pipelines with dbt, Fivetran, and GCP
- Implement quality, observability, and CI/CD practices
- Own PII protection end-to-end
- Mask, pseudonymize, tokenize, and encrypt data using GCP KMS/Secret Manager
- Manage GDPR workflows including right-to-be-forgotten and data subject access requests
- Establish RBAC/ABAC frameworks
- Set data catalog standards and data contracts
- Implement audit logging and column-level lineage
- Ensure audit-readiness against SOC 2 and ISO 27001
- Build and maintain a governed semantic layer
- Define business metrics for self-service BI and AI-powered analytics
- Mentor the data team in engineering best practices
- Promote secure data handling
- Establish cost monitoring across pipelines
- Drive proactive platform optimization
Berufserfahrung
- 2 - 5 Jahre
Ausbildung
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Snowflake
- dbt
- Fivetran
- GCP
- Pub/Sub
- Dataflow
- Airflow
- Dagster
- SQL
- Python
- Parquet
- Iceberg
- Kafka
- Terraform
Benefits
Flexibles Arbeiten
- Flexible working hours
- Hybrid working policy
Mehr Urlaubstage
- 30 days of vacation
Gesundheits- & Fitnessangebote
- Free EGYM Wellpass training
- In-house gym
Sonstige Zulagen
- €60 monthly flex budget
Gratis oder Vergünstigte Mahlzeiten
- Meal subsidy
Mentoring & Coaching
- Mentoring program
Mitarbeiterrabatte
- Employee discounts
Betriebliche Altersvorsorge
- Employer-subsidized pension
Firmenfahrrad
- Bike leasing
Die Originalanzeige dieses Stellenangebotes in der aktuellsten Version findest du hier. Nejo hat diesen Job automatisch von der Website des Unternehmens EGYM erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.
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EGEGYM
(Senior) Data Platform Engineer(m/w/x)
München, Berlin
Vollzeitmit HomeofficeBerufserfahren
Nejo KI-Zusammenfassung
Designing scalable data models in Snowflake and building PII-compliant data pipelines with dbt and GCP. 3+ years of data engineering experience in regulated industries required. 30 days vacation, free Wellpass training, and hybrid work.
Anforderungen
- 3+ years of experience in data engineering or platform engineering
- Exposure to regulated industries (HealthTech, FinTech, InsurTech)
- Hands-on experience with Snowflake, dbt, Fivetran, GCP (Pub/Sub, Dataflow)
- Orchestration on Airflow or Dagster
- Proficiency in SQL and Python
- Comfortable with modern table formats (Parquet, Iceberg)
- Exposure to streaming and CDC patterns (e.g. Kafka)
- Implemented PII protection in production
- Implemented masking, pseudonymization, tokenization
- Built GDPR-compliant workflows for subject rights
- Experienced with audit logging
- Experienced with end-to-end and column-level lineage
- Experienced with RBAC/ABAC frameworks
- Experienced with data catalog tooling
- Experienced with data contract patterns
- Knowledge of SOC 2 or ISO 27001 evidence requirements
- Supported audits in practice
- Built CI/CD pipelines with testing, monitoring, and observability
- Experience with Infrastructure-as-Code (e.g. Terraform)
- Hands-on, proactive, and collaborative mindset
- Able to bridge technical and business needs
- Able to coach the team
Aufgaben
- Design scalable data models in Snowflake
- Build robust data ingestion pipelines with dbt, Fivetran, and GCP
- Implement quality, observability, and CI/CD practices
- Own PII protection end-to-end
- Mask, pseudonymize, tokenize, and encrypt data using GCP KMS/Secret Manager
- Manage GDPR workflows including right-to-be-forgotten and data subject access requests
- Establish RBAC/ABAC frameworks
- Set data catalog standards and data contracts
- Implement audit logging and column-level lineage
- Ensure audit-readiness against SOC 2 and ISO 27001
- Build and maintain a governed semantic layer
- Define business metrics for self-service BI and AI-powered analytics
- Mentor the data team in engineering best practices
- Promote secure data handling
- Establish cost monitoring across pipelines
- Drive proactive platform optimization
Berufserfahrung
- 2 - 5 Jahre
Ausbildung
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Snowflake
- dbt
- Fivetran
- GCP
- Pub/Sub
- Dataflow
- Airflow
- Dagster
- SQL
- Python
- Parquet
- Iceberg
- Kafka
- Terraform
Benefits
Flexibles Arbeiten
- Flexible working hours
- Hybrid working policy
Mehr Urlaubstage
- 30 days of vacation
Gesundheits- & Fitnessangebote
- Free EGYM Wellpass training
- In-house gym
Sonstige Zulagen
- €60 monthly flex budget
Gratis oder Vergünstigte Mahlzeiten
- Meal subsidy
Mentoring & Coaching
- Mentoring program
Mitarbeiterrabatte
- Employee discounts
Betriebliche Altersvorsorge
- Employer-subsidized pension
Firmenfahrrad
- Bike leasing
Die Originalanzeige dieses Stellenangebotes in der aktuellsten Version findest du hier. Nejo hat diesen Job automatisch von der Website des Unternehmens EGYM erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.
Gefällt dir diese Stelle?
BetaDein Career Agent findet täglich ähnliche Jobs für dich.
Über das Unternehmen
EGYM
Branche
IT
Beschreibung
EGYM is a global fitness technology leader, providing intelligent workout solutions for fitness and health facilities.
Noch nicht perfekt?
- Xempus AG
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