Senior/Staff Data Engineer

GRIDSIGHT

Collingwood

5 days ago

Collingwood

5 days ago

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Senior/Staff Data Engineer

Gridsight is hiring a Senior/Staff Data Engineer to build and evolve the data layer for grid analytics products. The role involves designing scalable pipelines, ensuring data quality, and collaborating with cross-functional teams. Requires 5+ years of data engineering experience and strong data modeling fundamentals.

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On-site

Full-time

Senior

Dbt

SQL

Salary

Not specified

Work Location

Collingwood, Victoria, Australia, AU

Work Model

On-site

Experience Required

5 years

Employment Type

Full-time

Experience Level

Senior/Staff

Core Qualifications

Technical (Must-have)

dbtSQLdata modelingdimensional modeling (Kimball)ETL/ELTdata pipelineorchestrationtransformationstoragestreaming

Soft Skills

collaborationmentoringcommunicationproblem solvingcritical thinkingattention to detail

Tools (Must-have)

dbtGitCI/CD

Preferred Qualifications

Technical (Nice-to-have)

AirflowDagsterPrefectAWSGCPAzuretime-series datadata meshdomain-oriented data architecturedistributed systems

Tools (Nice-to-have)

AirflowDagsterPrefectAWSGCPAzure

Key Responsibilities

•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

senior data engineerstaff data engineerdata engineeringgrid analyticsutilitiesenergydbtdata pipelineon-siteCollingwood

Key Responsibilities

•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