Data Engineer
Core
Build and manage high-quality, scalable data pipelines on cloud platforms to support network performance and analytics for an Australian telecommunications company.
Role type
Data Engineer
Builds
End-to-end data pipelines for network telemetry, performance, fault, capacity, and configuration data
Domain
Telecommunications / Network Analytics
Deliverable
production ML models | product features
Required skills
SQL, Python, Spark/PySpark, cloud platforms (GCP, Azure, AWS), distributed processing, data quality frameworks, data governance, CI/CD, containerisation
Preferred skills
Experience in telecommunications or network environments, knowledge of network concepts and KPIs
Technologies
GCP, Azure, AWS, Spark, Databricks, Kubernetes
Responsibilities
Design, build, and maintain end-to-end data pipelines; Develop scalable data transformations; Perform exploratory data analysis and feature engineering; Collaborate with data scientists/ML engineers; Build and operate cloud-based data solutions; Ensure data quality, governance, and compliance
Seniority
Mid-Senior, hands-on IC
