Data Engineer

QIC digital hub

We re looking for a Middle Data Engineer to join our Data & AI Department and work closely with cross-functional Marketing & product teams. In this role, you ll design, build, and maintain scalable data pipelines that support analytics, reporting, and AI/ML use cases. You ll work in a cloud-native environment on GCP, collaborate with analysts and data scientists, and help ensure data reliability, quality, and accessibility across the organization.

Responsibilities

• Build and maintain scalable data pipelines using Apache Airflow and GCP (BigQuery, Cloud Storage, Dataform)
• Develop and optimize ETL/ELT workflows for batch, streaming, and diverse data sources
• Improve pipeline and query performance through tuning, partitioning, and clustering
• Ensure data quality, reliability, and freshness through monitoring and validation
• Apply data governance standards, including access control and schema management
• Monitor pipelines, resolve failures, and meet defined SLAs
• Write clean, well-documented code and maintain technical documentation
• Work closely with analysts, data scientists, and product teams to deliver usable data

Requirements

• 3+ years of experience as a Data Engineer working with cloud-native data architectures
• Strong Python skills with a focus on maintainable, testable, and modular code (OOP, error handling, logging)
• Advanced SQL skills, including complex queries and performance optimization
• Deep hands-on experience with Apache Airflow (DAG design, retries, sensors, custom operators)
• Strong experience withGoogle Cloud Platform, especially BigQuery, Cloud Storage, and Dataform
• Solid understanding of data warehousing, data modeling, and ETL/ELT best practices
• Experience working with MySQL and Oracle as source systems
• Familiarity with Git and CI/CD workflows
• Understanding of data security, privacy, and monitoring best practices
• Working knowledge of Docker and containerization