1 week ago

Senior Data Engineer

Anglicare Sydney

Macquarie Park

1 week ago

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Anglicare Sydney is seeking a Senior Data Engineer to design and deliver enterprise data and AI platforms on Microsoft Azure and Databricks. The role involves technical leadership, building scalable data pipelines, and mentoring teams, within a purpose-driven non-profit organization.

AI-enabledOn-siteFull-timeSeniorMicrosoft AzureDatabricks

Senior Data Engineer

Apply

AI-enabledOn-siteFull-timeSeniorMicrosoft Azure

Salary

Not specified

Work Location

Macquarie Park, New South Wales, Australia, AU

Work Model

On-site

Employment Type

Full-time

Experience Level

Senior

Core Qualifications

Technical (Must-have)

Microsoft AzureDatabricksApache SparkAzure Data FactoryETL/ELTDevSecOpsCI/CDTerraformBicepInfrastructure as CodeCloud SecurityData GovernanceMachine LearningAITechnical Leadership

Soft Skills

Stakeholder EngagementMentoringProblem SolvingCommunication

Preferred Qualifications

Technical (Nice-to-have)

Data VaultDimensional ModellingAzure DevOpsObservabilityCloud Cost Optimisation

Key Responsibilities

•Design, build and optimise enterprise data and analytics platforms on Microsoft Azure and Databricks.
•Develop scalable batch and streaming data pipelines using Azure Data Factory, Databricks and Apache Spark.
•Enable machine learning and AI initiatives through the delivery of robust cloud-based environments.
•Implement DevSecOps, CI/CD and infrastructure-as-code practices across the data platform.
•Design secure, scalable and cost-efficient architectures aligned to governance and security requirements.
•Establish data quality, metadata management and governance standards.
•Mentor engineering teams and promote best practices across cloud, data and AI technologies.
•Partner with stakeholders to deliver enterprise-wide data, analytics and AI outcomes.

Senior Data EngineerData EngineeringMicrosoft AzureDatabricksApache SparkMachine LearningAINon-profitInformation TechnologyFull-time

Key Responsibilities

•Design, build and optimise enterprise data and analytics platforms on Microsoft Azure and Databricks.

•Develop scalable batch and streaming data pipelines using Azure Data Factory, Databricks and Apache Spark.

•Enable machine learning and AI initiatives through the delivery of robust cloud-based environments.

•Implement DevSecOps, CI/CD and infrastructure-as-code practices across the data platform.

•Design secure, scalable and cost-efficient architectures aligned to governance and security requirements.

•Establish data quality, metadata management and governance standards.

•Mentor engineering teams and promote best practices across cloud, data and AI technologies.

•Partner with stakeholders to deliver enterprise-wide data, analytics and AI outcomes.