Senior Data Engineer (Snowflake, dbt, Airflow)

Quick Facts

• Role: Senior Data Engineer (Snowflake, dbt, Airflow)
• Domain: Recovery

Description

You will develop and maintain scalable, stable, and reliable data solutions for the Recovery domain. Working with business stakeholders and technology teams, you will translate requirements into data models and resilient data pipelines, with end-to-end ownership from analysis and implementation through testing and production deployment.

Responsibilities

• Gather and analyze business requirements
• Design, develop, and maintain data models
• Build scalable and resilient data pipelines
• Own deliveries end-to-end (requirements → implementation/testing → production deployment)
• Develop solutions using SQL, Python, Snowflake, dbt, and Airflow
• Integrate data via APIs and other enterprise data sources
• Drive automation and apply modern engineering practices
• Work with Git, CI/CD, and automated testing
• Ensure long-term maintainability, stability, and reliability

Requirements

• 4+ years of experience in Data Engineering/Data Warehousing
• Strong hands-on knowledge of SQL
• Strong practical experience with Python
• Commercial experience with Snowflake
• Hands-on experience with dbt
• Experience with Apache Airflow
• Strong data modelling skills
• Experience designing and developing scalable and resilient data pipelines
• Experience with API integrations and modern data architectures
• Solid software engineering practices including Git, CI/CD, automated testing
• Experience working according to DevOps principles

Benefits

• Long-term B2B contract cooperation
• Opportunity to work on advanced Data Engineering solutions
• Modern technology stack: Snowflake, dbt, Airflow, Python, SQL
• Hybrid work model with offices available in Warsaw, Gdynia, or Gdańsk
• Collaboration with international technology and business teams