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.

• 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.