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Senior Product Data Engineer
Gridsight —Melbourne VIC
- Full-time
- Hybrid work
- AWS
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Online Learning Advisor - Software Development
Online Education Services —Melbourne VIC
- Part-time
- Remote
- Computer Science
- Master's degree
- University
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19h

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Online Learning Advisor - Software Development
Online Education Services —Melbourne VIC
Candidates must hold a Master's degree in Software Engineering, Computer Science, Information Technology, or a related discipline, along with at least 5 years…
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19h
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Accenture —Melbourne VIC
Four-year college degree in a computer related or engineering field or equivalent work experience. Existing and current Workday HCM or Fins Core Certification.

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Senior Product Data Engineer

Gridsight
Melbourne VIC

Quick Apply

Job Details

Full-time

Qualifications

CI/CD
Go
AWS
Terrafrom
S3

Full Job Description

Gridsight is a rapidly growing Grid/CleanTech startup on a mission to accelerate global electrification and decarbonisation. We are building a vertical SaaS platform for electricity utilities, enabling them to modernise grid operations and unlock transformational capabilities such as dynamic operating envelopes and flexible interconnections. Having recently raised our Series A funding from Airtree Ventures, Energy Transition Ventures and Area VC, we are poised for rapid growth and are seeking talented individuals to join us on our mission.

As a Senior Product Data Engineer at Gridsight, you’ll be working on our core data platform, supporting analytics engineers, data scientists, and our application software engineering team.

Key Responsibilities:

Design and implement orchestration solutions using Dagster and dbt.
Build and evolve core data pipeline capabilities in Python or Go, deploying to AWS infrastructure.
Improve platform reliability, observability, and efficiency across the data stack.
Enable analytics engineers by streamlining DataOps and tooling.

Qualifications:

Proven experience with Python and/or Golang in a production environment.
Deep understanding of orchestration tools and modern data workflow best practices (Dagster, Airflow, or Prefect).
Experience with dbt
Deep understanding of Spark (Databricks preferred)
Strong AWS cloud engineering skills (Lambda, EC2, S3).
Experience working with Terraform.
Experience with CI/CD platforms (CircleCI preferred).
Comfortable taking ownership of tasks with defined goals but flexible technical implementation.
Passion for clean design, automation, and improving developer experience.

What We Offer:

Join a rapidly scaling venture-backed company on the first floor.
Highly competitive salary and equity package.
Flexible, hybrid working environment with a high performing, mission-driven team.

Quick Apply

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