Czym będziesz się zajmować? Job Responsibilities:Design, build, and maintain scalable and reliable data pipelines and infrastructure using modern data engineering tools and best practices.Collaborate with cross-functional teams to integrate and transform data from various sources into a modern cloud data warehouse (e.g., Snowflake).Lead and mentor data engineers, promoting best practices in coding, testing, deployment, and documentation within a CI/CD environment.Manage and optimize workflows using orchestration tools like Airflow and ensure efficient data operations on cloud platforms (preferably AWS), leveraging tools like Terraform, dbt, and Fivetran.

Kogo poszukujemy? Proven experience (4+ years) as a Data Engineer, with a strong track record in building data pipelines, developing scalable data infrastructure, integrating diverse data sources, and shaping technical data architecture.Proficiency in at least one programming language (e.g., Python, Java, or Scala) combined with advanced SQL skills for data transformation and analysis.Solid background (3+ years) working with modern cloud-based data warehouse solutions—ideally Snowflake—and data orchestration tools like Apache Airflow.Practical knowledge of cloud computing environments (preferably AWS) with 2+ years of hands-on experience; exposure to infrastructure as code using Terraform is a strong plus.Familiarity with tools in the modern data ecosystem such as dbt, Fivetran, or Stitch, and their role in streamlining data workflows and governance.Demonstrated leadership in a data engineering team, including mentoring junior engineers and contributing to a collaborative, knowledge-sharing culture.Working understanding of data modeling, metadata management, and the principles of data architecture and warehousing.Comfortable using CI/CD tools like GitHub Actions or AWS CodePipeline to support automated deployment and testing workflows.