indeed
Data Platform Engineer
Victorian Managed Insurance Authority
Melbourne City Centre, AUS
Full-time
Onsite
$120,000–$130,000 per annum
Discovered 2 weeks ago
SnowflakePythonSQLInfrastructure as CodePulumiTerraform
Role Overview
Full-time, nine-month contract in VMIA's Data and Analytics team.
Help build the Snowflake data warehouse supporting VMIA's data and digital initiatives.
Work with experienced data professionals and receive guidance, mentoring, and practical development experience.
Key Skills for This Role
SnowflakePythonSQLInfrastructure as CodePulumiTerraform
Full Job Posting
Role and contract
Full-time, nine-month contract in VMIA's Data and Analytics team.
Help build the Snowflake data warehouse supporting VMIA's data and digital initiatives.
Work with experienced data professionals and receive guidance, mentoring, and practical development experience.
Salary
- Salary range is $120,000–$130,000 per annum, total remuneration package inclusive of super, pro rata for the nine-month contract.
Key responsibilities
- Create Snowflake databases, schemas, warehouses, tables, and stored procedures using tools such as Pulumi or Terraform.
- Write Python and SQL for deployment scripts, stored procedures, and data ingestion pipelines.
- Support repeatable deployments across development, test, and production environments; define configurations using YAML and JSON.
- Implement role-based access controls and configure Snowflake compute resources, monitors, network policies, and integrations.
- Establish consistent environments and resolve access misconfigurations under senior guidance.
- Write unit, module, and integration tests; support and troubleshoot CI/CD pipelines such as GitHub Actions.
- Use Git and GitHub branching, code reviews, and pull requests; document warehouse build and deployment.
- Escalate risks and issues, follow policies and controls, and report incidents.
What the employer is looking for
- Exposure to relational databases and SQL through study, projects, internships, or personal learning.
- Exposure to Python, including data structures, scripting, and structured formats such as JSON and YAML.
- Strong analytical and problem-solving skills, written communication, and attention to detail.
- Experience through internships, projects, or work in software engineering, software development, data engineering, or data modelling.
- Familiarity with automated testing, code reviews, CI/CD, Git, Jira, Confluence, APIs, and common data formats including JSON, CSV, and XML.
- Collaborative approach, openness to feedback, curiosity, and commitment to continuous improvement.
- A tertiary qualification in a technical or quantitative discipline is advantageous.
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