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AI Summary
Design, build, and maintain scalable data pipelines and transformation architectures to power grid analytics products. Collaborate with cross-functional teams to establish data engineering standards and mentor other engineers on modelling and architecture.
The Role
We're hiring a Senior to Staff-level Data Engineer to build and evolve the data layer that powers our grid analytics products.
This is a hands-on data engineering role. You'll design pipelines, write transformations, and ship data that downstream consumers — data scientists, product engineers, and analysts — depend on daily.
What You'll Do
- Design, build, and maintain scalable data pipelines that transform and serve data for analytics and platform features
- Ensure data quality, reliability, and observability across the pipelines and models you own
- Collaborate with Data Science, Product Management, Software Engineering and Design to understand domain requirements and translate them into robust data structures and systems
- Establish data engineering standards — modelling conventions, testing practices, documentation, and observability
- Identify and address data technical debt, particularly where poor abstraction is creating complexity downstream
- Mentor other engineers on data modelling, pipeline design, and transformation architecture
What You'll Bring
- 5+ years of data engineering experience with demonstrated impact at Senior or Staff level
- Strong experience building and maintaining production data pipelines at scale
- Hands-on experience designing layered transformation architectures (staging, intermediate, mart patterns) in production
- Deep knowledge of modern data stack technologies (orchestration, transformation, storage, and streaming) and the Data Engineering lifecycle
- Solid data modelling fundamentals — dimensional modelling (Kimball), relational theory, and a clear sense of when to apply different techniques
- Experience with dbt or similar transformation frameworks
- Solid software engineering fundamentals: version control, testing, code review, CI/CD
- Fluency with AI-assisted development tools and workflows
- Experience working closely with downstream consumers and designing data that serves their needs
- A track record of bringing structure and clarity to complex or messy data landscapes
What Would Set You Apart
- Experience in energy, utilities, or grid technology
- Experience building data products with defined consumers, SLAs, and quality contracts
- Time-series data or operational analytics experience
- Background in data mesh principles or domain-oriented data architecture
- Experience with distributed systems or stream processing
- Experience with modern data orchestration tools (Airflow, Dagster, Prefect)
- Cloud data infrastructure depth (AWS, GCP, or Azure)
What We Offer
- Competitive salary and equity package
- Remote-first, with head office in Sydney
- A talented team of engineers, data scientists, and power systems specialists working on hard problems that matter
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