Data & Analytics Engineer (m/f/d)

📋 Description

• Design, build, and operate reliable data pipelines and transformations across heterogeneous
• Translate complex business processes into scalable analytical data models, define clear grains
• Help build and evolve our semantic layer with technologies such as Snowflake Semantic Views
• Shape data models, metadata, and semantic context so that AI-powered analytics and agents can
• Raise the engineering bar through automated testing, data quality, observability, data contracts
• Actively use AI-assisted development to improve engineering productivity and explore new

🎯 Requirements

• 3+ years of experience in Data Engineering, Analytics Engineering, or a comparable role with
• Strong experience with dimensional and analytical data modeling, including reasoning about grain
• Hands-on experience with Snowflake or a comparable cloud data warehouse; strong knowledge of dbt
• Experience integrating data from multiple heterogeneous systems, managing conflicting identifiers
• Experience with data pipelines and transformations from sources like APIs and event-based data
• Curiosity about how AI is changing data engineering and analytics, with active use or exploration

🎁 Benefits

• Be part of a modern and international company culture
• Flexible working hours and hybrid work policy (2 office days)
• Regular team events to foster a strong culture
• Continuous development with varied, challenging tasks and feedback
• Train for free with EGYM Wellpass or use the in-house gym
• Various discounts through the employee benefits portal