In-Demand Engineer data centres Jobs

Customer Data Engineer
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- Data analysis skills
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- AI
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- $160,000 - $220,000 a year
- Full-time
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City of Greater Geelong —Geelong VIC
- From $125,701 a year
- Full-time
- Azure
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Arista Networks —Sydney NSW
- Full-time
- Doctoral degree
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Quick Apply
14d
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- Full-time
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- AWS
- Bachelor's degree

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Customer Data Engineer

Gridsight
Wollongong NSW

Quick Apply

Job Details

Full-time

Qualifications

Data analysis skills
SQL
Data pipeline
AI
Communication skills

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.

Locations: Sydney, Melbourne, Canberra, Brisbane, Adelaide, Hobart, Australia Remote

The Role

Our Customer Data Engineers own data integration with our customers, ensuring they get value from Gridsight's platform quickly and seamlessly.

This is equal parts customer-facing and technical. You'll work directly with utility customers to help them understand what data we need, review what they send, give feedback on issues, and get it into the platform. You'll spend roughly half your time in conversations with customers and half heads-down wrangling data, running transforms, and configuring the system.

What makes this role distinctive is where it's heading. We're continuously building better tooling to streamline data onboarding, and we want someone who accelerates that shift. From day one, we expect you to approach the work with a tool-first mindset — questioning manual steps, reaching for automation, and helping us develop internal products that make it a faster, more repeatable process. Over time, the role can grow in two directions: deeper into product engineering, or deeper into customer ownership and leadership. We'll support whichever direction plays to your strengths.

What You'll Do

Work directly with utility customers to help them understand what data Gridsight requires, in what format, and how to provide it
Review incoming customer data against expected schemas and quality standards, providing clear and constructive feedback on issues
Onboard customer data into the platform using tooling and transformation workflows
Identify and act on opportunities to improve our internal tooling, automating manual steps, improving validation, and making the data onboarding process more efficient, high quality and repeatable
Drive customer data deliveries to completion — following up, unblocking, and maintaining momentum through the implementation process
Manage complex customer situations with composure: unrealistic timelines, incomplete data, shifting priorities, and competing demands
Identify and act on opportunities to automate manual steps, improve tooling, and make the data onboarding process more efficient and repeatable

What You'll Bring

Strong communication skills — you can explain technical data requirements to non-technical people, give constructive feedback, and manage expectations with confidence
Proactive and self-directed — you see what needs doing and drive it to completion without close supervision
Strong SQL skills with demonstrated ability to analyse, validate, and wrangle messy datasets
Experience with dbt or similar ELT frameworks, and exposure to working within data pipelines
Experience in customer-facing or consulting-style technical roles with external stakeholder management
Comfort with ambiguity — customer data environments are inconsistent and varied, and there won't always be a playbook
Ability to manage your own time and priorities across multiple concurrent customer engagements
3+ years of professional experience in data engineering, data analysis, technical consulting, or a similar role involving both technical and stakeholder-facing work

What Would Set You Apart

A track record of improving processes — automating manual work, building internal tools, or introducing better ways of working
Expertise in leveraging AI-assisted development tooling
Experience in energy, utilities, or infrastructure domains
Experience with data quality frameworks, monitoring, or observability

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
A role with clear growth pathways into product and tooling, or deeper customer ownership

Quick Apply

Refine Your Search

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