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

Your daily workout

As the Senior Data (Platform) Engineer (m/f/d), you will be a key driver in shaping the data landscape for EGYM's rapidly expanding business across both business units EGYM Wellpass and EGYM Technology. If you're an experienced data expert passionate about innovative solutions and thrive in an agile environment, you're exactly who we're looking for. Apply now and join our team in Munich, Berlin or Paris!

• Data Architecture & Modeling : You design reusable and scalable data models leveraging advanced data warehousing modeling techniques (Data Vault, Kimball, Inmon), while embedding best practices for metadata management and observability.
• Platform Infrastructure : You help us scale our current data platform ecosystem into a robust, enterprise-grade data platform infrastructure in GCP, leveraging Snowflake, dbt, and other core tools.
• Data Pipeline Development & DevOps : You build and optimize robust pipelines for ingestion, transformation, and delivery across our stack. You implement automation, monitoring, and CI/CD to guarantee operational reliability.
• Workflow Orchestration : You design, implement, and scale orchestration frameworks (e.g., Airflow, Dagster), ensuring automation, efficient scheduling, monitoring, and error handling across complex data pipelines.
• Data Governance & Access Management : You define, implement, and enforce governance policies, ensuring GDPR and PII compliance across all data workflows, while also designing secure and auditable role-based access (RBAC) controls.
• Cost Monitoring & Optimization : You establish cost monitoring practices to provide visibility into consumption at the pipeline, table, and team level, enabling proactive optimization of spend.
• Technical Coaching : You mentor and train the data team in engineering best practices (version control, CI/CD pipelines, monitoring, testing), raising the overall maturity of the team.

Your fitness level

• Experience & Expertise : You have 5+ years of experience in data engineering, or platform engineering, with a strong track record in designing and implementing enterprise-grade data warehouse models (Data Vault, Kimball, Inmon) and building scalable data pipelines. Knowledge of streaming technologies is a plus.
• Programming & Data Processing : You are proficient in SQL and Python, and bring hands-on experience with Snowflake, dbt and modern ingestion tools. You know how to effectively handle schema evolution and leverage modern storage formats such as Parquet, and Iceberg to optimize performance.
• Cloud & Infrastructure : You are experienced working with GCP services and know when and how to leverage tools like Pub/Sub, Dataflow, and have worked with orchestration frameworks (i.e., Airflow, Dagster). Experience with Infrastructure-as-Code (e.g., Terraform) and containerization technologies is a strong plus.
• Platform Engineering & DevOps : You have implemented CI/CD pipelines with testing, monitoring, and observability to ensure reliable data operations, and are skilled at maintaining scalable, production-grade workflows.
• Governance & Compliance : You understand GDPR and PII handling, have set up RBAC frameworks, and are experienced with lineage, cataloging, and cost monitoring to ensure compliance, trust, and optimization.
• Mindset & Collaboration : You are hands-on, proactive, and collaborative, with the ability to mentor and coach the team. You can bridge technical and business needs, communicate clearly, and bring a problem-solving mindset focused on scalability, reliability, and long-term value.

Your training goal for your first 6 months

• Business & Platform Familiarization : Develop a deep understanding of our business domains, KPIs, and current AWS/GCP setup.
• Cloud Platform Migration : Lead the migration and optimization of workloads from AWS to GCP, ensuring workloads are stable, secure, and cost-efficient. Advise on and implement best practices for cloud-native services (e.g., Dataflow, Pub/Sub, Cloud Run) and their integration into the data platform.
• Data Modelling Standards : Help define and establish a consistent enterprise-wide data warehousing modeling framework (Data Vault, Star, Snowflake schemas).
• Engineering Standards : Introduce and embed modern engineering standards into daily workflows, including CI/CD, version control, automated testing, and monitoring. Ensure pipelines and platform components are reliable, maintainable, and production-ready.
• Data Governance : Design RBAC framework GDPR-compliant workflows for handling PII across our pipelines.
• Team Enablement : Mentor and coach the data team, raising the level of engineering maturity and best practice adoption.

The equipment we provide

• Modern & International : Be part of a modern and international company culture where talent and passion are welcome, heard, and part of the decision-making process
• Work-Life-Balance : Benefit from flexible working hours, hybrid working policy (2 office days), and 30 days of vacation per year
• Continuous Development : Develop your skills with varied, challenging tasks and regular feedback to benefit from a steep learning curve
• Fit & Healthy : Train for free with EGYM Wellpass in several thousand sports and health facilities across Germany and/or use our in-house gym with EGYM products
• Mobility : Enjoy a monthly travel subsidy of 45€
• Discounts : Get a variety of great discounted offers, from fashion to leisure, through our employee benefits portal
• Bike Leasing : Stay active and use our leasing bike offer on your way to work or in your spare time
• Subsidized Pension : Profit from our employer-subsidized pension

Your warm up plan

• Business & Platform Familiarization and other details will be provided during onboarding.

Contact Information

Upload your documents (CV, salary expectations and earliest possible start date)and specify the job ID #1669.

Contact: Lara Kaul

For further information:

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