Data & Analytics Engineer (m/f/d)

Join EGYM as our Data & Analytics Engineer – Data Modeling, Semantic Layer & AI Enablement (m/f/d) in Munich or Paris! In this pivotal role, you will help evolve the data foundation that powers EGYM Wellpass and EGYM Technology. You will turn complex data landscapes into scalable, trusted data models and help build the semantic foundation for the next generation of BI, self-service analytics, and AI-powered data experiences. If you combine strong engineering fundamentals with excellent data modeling skills and curiosity for semantic layers and AI, this is your opportunity to make a significant impact.

• Data Engineering & Integration: You design, build, and operate reliable data pipelines and transformations across heterogeneous enterprise source systems, products, applications, APIs, and event-based data, using Snowflake, dbt, GCP, and modern orchestration technologies, in a warehouse-centric environment

• Enterprise Data Modeling: You translate complex business processes into scalable analytical data models, define clear grains, facts, dimensions, and relationships, and establish conformed business entities across different systems and domains

• Semantic Layer: You help build and evolve our semantic layer with technologies such as Snowflake Semantic Views, creating reusable and governed definitions of business entities, dimensions, metrics, and relationships that can serve BI, self-service analytics, applications, and AI

• AI-Ready Data: You shape data models, metadata, descriptions, relationships, and semantic context so that AI-powered analytics and agents can interact with our data accurately and reliably, and experiment with technologies such as Snowflake Cortex Analyst and Cortex Agents

• Engineering Excellence: You raise the engineering bar through automated testing, data quality, observability, data contracts, CI/CD, documentation, performance optimization, and reliable production ownership

• Modern Engineering & AI: You actively use AI-assisted development to improve engineering productivity and explore where new technologies can simplify our stack, automate repetitive work, or enable completely new ways of interacting with data

• Shared Ownership: You participate in architectural decisions, challenge existing solutions, grow alongside other engineers, and contribute to scalable engineering and modeling standards across the team