Engineer - Data Modernisation (Sydney or Melbourne Based)
Core
Design, build, test, deploy, and support data pipelines, APIs, services, and integrations while modernizing legacy Teradata and enterprise batch workloads.
Role type
Senior hands-on data platform engineer
Builds
Reusable data platforms, frameworks (ADAPT, UFW), and production-grade data delivery capabilities
Domain
Banking / Data Engineering / Cloud Modernization
Deliverable
production ML models | product features | infrastructure
Required skills
Advanced SQL, Python, distributed data processing, data modeling, CI/CD, infrastructure-as-code, cloud engineering, legacy code modernization, observability, security
Preferred skills
Experience with Microsoft Azure, Synapse, Databricks, Spark, Snowflake, Kubernetes, AMP, GitHub Copilot
Technologies
SQL, Python, Microsoft Azure, Synapse, Data Factory, Databricks, Spark, Snowflake, Teradata, Kubernetes, Git, CI/CD, AMP, GitHub Copilot
Responsibilities
Design and build data pipelines and APIs; modernize legacy Teradata and batch workloads; automate build, testing, and deployment; diagnose cross-stack issues; convert delivery into reusable engineering patterns
Seniority
Senior, hands-on IC
