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

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

Offer:

• Private medical care

• Co-financing for the sports card

• Constant support of dedicated consultant

• Employee referral program