Senior Data Engineer – Azure & Databricks AI Platforms

Anglicare

New South Wales

On-site

AUD 140,000 - 190,000

Full time

6 days ago
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Job summary

Anglicare Sydney is seeking a Senior Data Engineer to design and deliver enterprise data and AI platforms that support decision-making and service delivery across Anglicare. You will lead cloud-native data solutions on Azure and Databricks, building scalable pipelines with Azure Data Factory and Spark, while enabling ML/AI initiatives.

You will drive DevSecOps, CI/CD and infrastructure-as-code practices, ensure governance and security, and mentor teams to deliver high-performing analytics

Qualifications

  • Extensive experience designing and delivering cloud-based data platforms.
  • Strong expertise across Microsoft Azure, Databricks and Apache Spark.
  • Experience building and optimising enterprise-scale ETL/ELT pipelines.
  • Strong understanding of DevSecOps, CI/CD and infrastructure automation.

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 robust cloud-based environments.
  • Implement DevSecOps, CI/CD and IaC practices across the data platform.
  • Establish data governance standards and mentor engineering teams.

Skills

Azure
Databricks
Apache Spark
ETL/ELT pipelines
DevSecOps
CI/CD
Infrastructure as code
Data governance
Data quality
Mentoring
Stakeholder engagement

Tools

Terraform
Bicep
Azure Data Factory

Job description

Anglicare Sydney is seeking a Senior Data Engineer to design and deliver enterprise data and AI platforms that support decision-making and service delivery across Anglicare. You will lead cloud-native data solutions on Azure and Databricks, building scalable pipelines with Azure Data Factory and Spark, while enabling ML/AI initiatives.

You will drive DevSecOps, CI/CD and infrastructure-as-code practices, ensure governance and security, and mentor teams to deliver high-performing analytics

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