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About the Role
This technical, senior role is responsible for designing, building, and testing core data pipelines across Snowy Hydro's Enterprise Data Platform. You will focus on implementing Medallion architecture using Snowflake, building native integrations for core enterprise systems, embedding modern data quality, testing, and CI/CD practices, and leveraging AI-assisted coding agents to accelerate development.
Responsibilities
- Build end-to-end Medallion pipeline architecture (Bronze, Silver, Gold) utilizing open data formats like Iceberg.
- Design and implement resilient native pipelines to connect into core enterprise systems, including SAP and ServiceNow.
- Collaborate with Data Governance, Data Architecture, and Reporting & Analytics teams to translate business intent into reusable data assets.
- Design, build, and test enterprise-grade data models using Snowflake-native capabilities, Python, and SQL.
- Manage the end-to-end lifecycle of moving data models from development through testing into production using automated CI/CD pipelines.
- Implement data quality validations, dynamic security controls, masking, and pipeline observability with automated alerting.
- Develop automated unit, integration, and regression tests for data pipelines.
- Use AI coding agents (e.g., GitHub Copilot, Cursor, Snowflake native AI features) with appropriate guardrails, prompt context, and rules to accelerate code wiring, data modelling, unit testing, and documentation generation.
Requirements
- Deep hands-on experience in Snowflake environments (virtual warehouse optimisation, performance tuning).
- Expert level proficiency in Python and SQL for data transformation and modelling.
- Proven track record of constructing Medallion architecture layers (Bronze, Silver, Gold).
- Experience setting up native connectors to ingest raw data from core enterprise systems such as SAP and ServiceNow.
- Hands-on experience deploying data models through staging and production using Git and automated CI/CD pipelines.
- Experience embedding data quality validations, pipeline observability, and automated alerting.
- Practical experience using AI coding assistants to build, test, and document data models.
- Ability to define prompt context, rules, and governance guardrails for AI coding assistants.
- Strong business acumen to understand domain context, translate business goals into relevant and compliant data models, and ensure end-to-end utility.
- Mentor and share knowledge and significant experience with more junior colleagues.
Skills
- Snowflake
- Python
- SQL
- Medallion Architecture
- SAP integration
- ServiceNow integration
- CI/CD pipelines
- Data Quality
- Pipeline Observability
- AI coding agents (e.g., GitHub Copilot, Cursor, Snowflake native AI features)
- Matillion (beneficial)
Location
- Sydney
Work Type
- 12-month fixed-term contract
- Full-time
Experience Level
- Senior
About the Company
- Snowy Hydro is a dynamic, integrated energy business providing on-demand, reliable energy to Australia.
- Owns and operates a powerful combination of generation assets, including the Snowy Mountains Scheme, gas and diesel plants, and contracted wind and solar energy.
- Provides electricity and gas to over 1.5 million retail customers through Red Energy and Lumo Energy.
- Snowy 2.0 is Australia's largest committed renewable energy project, providing on-demand energy and large-scale storage.
Equal Opportunity
- Snowy Hydro has a culture of decency and inclusion, with a commitment to the health and wellbeing of its people and a supportive environment.
- Recognises that it is made stronger by the unique capabilities and qualities that each individual brings.
- Proud to be an Equal Opportunity employer.
- Committed to the values of Equal Employment Opportunity.
- Provides accessibility accommodations to applicants with physical and/or mental disabilities.
- Offers accommodation or special assistance to applicants needing help navigating the website or completing an application.