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Melbourne, Victoria💼 Full-time🗓 2026-09-07 → 2026-09-26

Core

Designing and deploying Databricks platforms on AWS, Azure, or Google Cloud; building production data engineering pipelines; guiding clients on big data and AI application implementation.

Role type

Senior Data Engineering Lead (Cloud & Big Data)

Builds

End-to-end big data and AI applications, data engineering pipelines, and Databricks platforms

Domain

Cloud computing (AWS, Azure, GCP) and Big Data

Deliverable

production ML models | product features | infrastructure

Required skills

Azure Data Lake, Azure Databricks, Spark SQL, CI/CD automation, Big Data technologies, Scrum Agile

Preferred skills

Apache Spark certifications, Databricks certifications

Technologies

Azure Data Lake, Azure Databricks, Spark SQL, AWS, Google Cloud

Responsibilities

Designing and deploying Databricks platforms on AWS, Azure, or Google Cloud; building and deploying data engineering pipelines into production; guiding clients on transformational big data projects; streamlining the customer machine learning lifecycle

Seniority

Senior, hands-on IC

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