Xempus AG
Senior Analytics Engineer(m/w/x)
Full-timeWith HomeofficeSenior
München
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EGEGYM
(Senior) Data Platform Engineer(m/w/x)
München, Berlin
Full-timeWith Home OfficeExperienced
Nejo AI Summary
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.
Requirements
- 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
Tasks
- 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
Work Experience
- 2 - 5 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Snowflake
- dbt
- Fivetran
- GCP
- Pub/Sub
- Dataflow
- Airflow
- Dagster
- SQL
- Python
- Parquet
- Iceberg
- Kafka
- Terraform
Benefits
Flexible Working
- Flexible working hours
- Hybrid working policy
More Vacation Days
- 30 days of vacation
Healthcare & Fitness
- Free EGYM Wellpass training
- In-house gym
Additional Allowances
- €60 monthly flex budget
Free or Subsidized Food
- Meal subsidy
Mentorship & Coaching
- Mentoring program
Corporate Discounts
- Employee discounts
Retirement Plans
- Employer-subsidized pension
Company Bike
- Bike leasing
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of EGYM and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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EGEGYM
(Senior) Data Platform Engineer(m/w/x)
München, Berlin
Full-timeWith Home OfficeExperienced
Nejo AI Summary
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.
Requirements
- 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
Tasks
- 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
Work Experience
- 2 - 5 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Snowflake
- dbt
- Fivetran
- GCP
- Pub/Sub
- Dataflow
- Airflow
- Dagster
- SQL
- Python
- Parquet
- Iceberg
- Kafka
- Terraform
Benefits
Flexible Working
- Flexible working hours
- Hybrid working policy
More Vacation Days
- 30 days of vacation
Healthcare & Fitness
- Free EGYM Wellpass training
- In-house gym
Additional Allowances
- €60 monthly flex budget
Free or Subsidized Food
- Meal subsidy
Mentorship & Coaching
- Mentoring program
Corporate Discounts
- Employee discounts
Retirement Plans
- Employer-subsidized pension
Company Bike
- Bike leasing
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of EGYM and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
EGYM
Industry
IT
Description
EGYM is a global fitness technology leader, providing intelligent workout solutions for fitness and health facilities.
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