Data ETL Engineer

Technical Requirements Must have: • 3+ years of experience in SQL development and query optimization, particularly in BigQuery environments. • Experience designing and implementing ETL/ELT pipelines and data transformation processes. • Hands-on experience with GCP data services such as BigQuery, Data Fusion, Cloud Composer/Airflow, or similar tools. • Practical experience with Data Vault modeling. • Programming experience in Python and familiarity with Terraform. • Experience with CI/CD pipelines and DevOps tools (e.g., Git, Jenkins, Ansible). • Experience working in Agile environments and DataOps practices. • Strong analytical and problem-solving skills. • Important: The client requires a visit to Kraków for two days each month.  Nice to have: • Experience designing data ingestion pipelines for formats such as CSV, JSON, and XML. • Experience integrating data from REST or SOAP APIs, SFTP servers, and enterprise data sources. • Knowledge of data contract best practices. • Experience with Java development or building custom plugins for data integration tools. • Experience with continuous testing and delivery for cloud-based data platforms. • Strong communication and collaboration skills. • Ability to work independently and manage multiple tasks. • Proactive mindset with a strong problem-solving approach. • Willingness to learn and continuously improve technical skills. • Team-oriented attitude and ability to work effectively in cross-functional teams. Required Technical Skills SQL● BigQuery● ETL & Data Management Tools● CI/CD● Python● Terraform● Agile Main Responsibilities • Design, build, test, and deploy data models and transformations in BigQuery using SQL and related technologies. • Develop and maintain ETL/ELT pipelines to transform raw and unstructured data into structured datasets using Data Vault modeling. • Integrate data from multiple sources, including on-premise systems, APIs, and cloud-based platforms. • Monitor and troubleshoot data pipelines for performance issues, failures, or data inconsistencies. • Optimize ETL/ELT processes for performance, scalability, and cost efficiency. • Review and implement business and technical requirements in data transformation processes. • Ensure solutions meet non-functional requirements, including security, reliability, scalability, and compliance with IT standards. • Manage code repositories and CI/CD pipelines using tools such as Git and Jenkins. • Collaborate with DevOps and data teams to enable automated deployment, testing, and monitoring. • Provide bug fixes, enhancements, and technical documentation, and support knowledge transfer to operational teams. Location Requirements Hybrid from Kraków, 2 days per week in the office 8-10 months or longer contract