Senior Data Engineer

Responsibilities:

• Support the foundational phase of a new data engineering team and help transform business challenges into scalable data solutions
• Design and build modern data models, pipelines, and data warehouse solutions end-to-end
• Drive modernization initiatives by transitioning fragmented local systems into unified enterprise-grade solutions
• Collaborate closely with business stakeholders, architects, and engineering teams to ensure alignment throughout the development lifecycle
• Take ownership of the full delivery lifecycle - from requirements gathering and solution design to implementation, testing, and production deployment
• Promote engineering best practices, including clean architecture, design patterns, CI/CD, and Test-Driven Development (TDD)
• Ensure high standards of reliability, maintainability, scalability, and data quality
• Drive adoption of AI-assisted engineering practices and tools such as GitHub Copilot and internal AI agents to improve engineering productivity

Offer:

• Private medical care
• Co-financing for the sports card
• Constant support of dedicated consultant
• Employee referral program

Requirements:

• 5+ years of experience in Data Engineering and Data Warehousing within large-scale enterprise environments
• Proven ability to design scalable, maintainable, and modern data warehouse solutions
• Hands-on experience with Snowflake, dbt, Airflow
• Solid understanding of modern data engineering practices, CI/CD pipelines, and orchestration frameworks
• Experience taking full ownership from requirements analysis to production delivery
• Strong analytical mindset and ability to proactively clarify business requirements
• Experience building robust, maintainable, and high-quality data solutions
• Understanding of data modeling principles and modern data architecture approaches
• Strong communication and stakeholder management skills
• Interest in leveraging AI-driven development tools and automation to improve engineering efficiency