Data Analytics Engineer

dnata

dnata, among the leading air services providers globally, is offering an innovative position within its IT division. Targeted at bridging the data engineering and analytics sectors, this role offers the chance to use advanced technologies in supporting dnata's extensive operations. The team focuses on data-driven decisions, driving business growth and efficiency.

In this role you can expect to have the responsibilities:

• Design and manage ETL/ELT data pipelines for analytics and reporting.
• Develop and maintain data models to support business intelligence needs.
• Collaborate with analysts to provide structured datasets and query optimization for BI tools.
• Engage with stakeholders to enhance data infrastructure and performance.
• Automate data processing and reporting tasks to optimize workflow efficiency.

This role requires you to have:

• Bachelor’s or Master’s degree in Data Science, Computer Science, Engineering or related field
• 3+ years of experience in data engineering, analytics, or BI development
• Strong SQL skills
• Experience with ETL/ELT tools like Apache Airflow, dbt, or Talend
• Proficiency in Python or Scala
• Familiarity with cloud platforms (AWS, GCP, Azure)

You would benefit from having:

• Knowledge of data governance and compliance frameworks
• Certifications in AWS, GCP, or Microsoft Azure
• Experience in Aviation, Warehouse/Logistics, or Transportation sectors
• Well-versed in DevOps and AGILE methodologies
• Insight into Payroll, Finance, HR & Rostering Systems

dnata values diversity and inclusion, encouraging applicants of all backgrounds, including Aboriginal and Torres Strait Islanders, people with disabilities, and culturally diverse backgrounds, to apply. Gender balance is also a focus.