Senior Data Platform Engineer, EGYM
2 days a week in office
Smart fitness technology for gyms
Be an early applicant
Smart fitness technology for gyms
201-500 employees
Be an early applicant
2 days a week in office
201-500 employees
Company mission
To connect the dots between exercise and real health outcomes by partnering with fitness and health facilities worldwide to make workouts smarter, more efficient, and fun for everyone.
Role
Who you are
- 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
- 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 way
What the job involves
- 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
- 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
- Your training goal for your first 6 months:
- Master the Landscape: You developed a deep understanding of both business units' data and PII sensitivity classification across EGYM Wellpass and EGYM Technology
- Raise the Bar: You embedded modern engineering standards, CI/CD, automated testing, data contracts, monitoring, as default practice across the data team
- Lock Down PII: You rolled out platform-wide masking and pseudonymization standards and established column-level lineage across critical pipelines
- Govern & Audit-Ready: You launched an RBAC/ABAC framework and GDPR-compliant workflows for right-to-be-forgotten and data subject access requests, and produced the first set of evidence and controls to support SOC 2 and ISO 27001 readiness
- Ship the Semantic Layer: You delivered the first governed metric layer in dbt MetricFlow or Snowflake Semantic Views as the foundation for BI and AI use cases
Application process
- Apply now with your documents (CV, salary expectations and earliest possible start date) and specify the job ID #1978
Our take
EGYM is a fitness technology company that specializes in providing intelligent workout solutions to fitness and health facilities. By offering a suite of connected gym equipment and digital products, EGYM aims to enhance the exercise experience by making it smarter and more efficient.
The company's portfolio includes gym equipment, software and a corporate health network operation called Wellpass which boasts an impressive user base of over 20 million individuals. By offering this complete fitness technology ecosystem, EGYM enables owners and operators to offer a fully connected workout experience to their members and achieve measurable improvements to business.
With funding under its belt, EGYM has expanded to reach a wider range of gyms, further developed its corporate subscriptions, and invested in R&D. In 2026 it was announced the company would merge with Playlist, the owner of fitness booking service ClassPass, with the new company aiming to build the infrastructure to power the "world’s most meaningful in-person wellness experiences".
Kirsty
Company Specialist at Welcome to the Jungle
Insights
50% employee growth in 12 months
Company
Funding (last 2 of 8 rounds)
Sep 2024
$200m
SERIES G
Jul 2023
$240.8m
SERIES F
Total funding: $596.4m
Company benefits
- Development budget
- Internal trainings
- Flexible working hours
- EN & DE language courses
- 30 days of holiday
- Hybrid work model
- Corporate Benefits
- Company & team events
- Wellpass membership
- Inhouse gym
- Lease a bike
- Sabbatical
Company HQ
Union Station, Denver, CO
Leadership
Graduated from Ludwig Maximilian University of Munich with a Diploma in Business Administration. Previously worked as an Investor at Vantis, Demodesk, and Personio.
Florian Sauter
(CTO)Graduated from the Technical University of Munich with a Diploma in Electrical Engineering and Information Technology.
Salary benchmarks
We don't have enough data yet to provide salary benchmarks for this role.
Submit your salary to help other candidates with crowdsourced salary estimates.
Share this job
View 10 more jobs at EGYM