Data Engineer

What we offer

• International environment
• Contract of Employment or B2B contact
• development opportunities -> This role has a high potential for further career progression in the direction of technical leadership team-wide and/or big data architecture.
• hybrid model work (1 or 2 day per week from office)
• Access to cafeteria system and benefits platform
• Unique culture with excellent opportunities for techno-functional career advancement
• Support in all formalities for foreigners

Requirements

• Proficiency in Python, PySpark, SQL and Databricks
• Experience with building and managing data pipelines using Azure Data Factory ADF and Apache Airflow
• Understanding of Continuous Integration and Continuous Deployment CI/CD tools such as Git Azure DevOps GitHub and Bitbucket

Responsibilities

• Develop maintain, optimize scalable data pipelines and workflows
• Collaborate with data scientists analysts and other stakeholders to understand data requirements
• Implement best practices for version control and CI/CD to ensure reliable and efficient deployment
• Monitor and troubleshoot data pipeline performance and resolve issues promptly
• Document data engineering processes and maintain clear communication across teams