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Senior/Staff Data Engineer

Gridsight
Sydney NSW

Quick Apply

Job Details

Full-time
3 days ago

Qualifications

CI/CD
Data modelling
Azure
Google Cloud Platform
AWS
Data pipeline
AI
Analytics

Full Job Description

Electricity grids are undergoing the most significant transformation in a century. The shift to renewables, the proliferation of rooftop solar, batteries, and EVs, and the increasing complexity of distribution networks are forcing utilities to operate their grids in fundamentally new ways.

Gridsight builds the analytics platform that makes this possible. We're already embedded with most of Australia's major distribution networks and have contracts with some of the largest investor-owned utilities in the United States. We're well-funded, growing quickly, and positioned at the centre of a global shift toward dynamic grid management.

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 Staff or Senior level
Strong experience building and maintaining production data pipelines at scale
Strong data modelling fundamentals — dimensional modelling (Kimball), relational theory, and a clear sense of when to apply different techniques
Hands-on experience designing layered transformation architectures (staging, intermediate, mart patterns) in production
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

Quick Apply

Refine Your Search

data processing analyst jobs

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