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Data Engineer

1 day ago

Doha, Baladīyat ad Dawḩah, Qatar QIC digital hub Full time

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
Desired Candidate Profile

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

Nice to Have

  • Experience supporting analytics and AI/ML workloads
  • Exposure to streaming data pipelines
  • Experience working in cross-functional, product-driven teams