Customer Data Engineer at GRIDSIGHT

, , Australia -

Full Time

Start Date

Immediate

Expiry Date

21 Jun, 26

Salary

0.0

Posted On

23 Mar, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Integration, Customer-Facing, Technical, Data Wrangling, Data Transforms, System Configuration, Automation, SQL, dbt, ELT Frameworks, Data Pipelines, Stakeholder Management, Process Improvement, Internal Tooling Development, Data Quality, Communication

Industry

Utilities

Description

Locations: Sydney, Melbourne, Canberra, Brisbane, Adelaide, 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

Responsibilities

Customer Data Engineers will own data integration with utility customers, requiring them to guide clients on data requirements, review submissions, and manage data onboarding into the platform. A significant part of the role involves technical work like running transforms and configuring the system, alongside a strong focus on automating manual onboarding steps through tool development.