Analytics Engineer & AI for Clean Energy (Hybrid)

Insight Resourcing

Sydney

Hybrid

AUD 90,000 - 130,000

Full time

5 days ago
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Job summary

Insight Resourcing is partnering with 1KOMMA5° Australia to secure an Analytics Engineer who will own the Australian data initiatives. You will design and maintain scalable data models, collaborating with the global Data & Analytics Platform team to enable data-driven decisions.

You will lead Australian product, sales and operations data pipelines, work with Product, Marketing, Sales and Support, and help build a data stack and culture that empowers fast, confident decisions across the business.

Qualifications

  • 3+ years in analytics engineering, data engineering or closely related role.
  • Deep, hands-on SQL expertise with BigQuery.
  • Experience using dbt or SQLMesh for data modeling.
  • BI tool experience; Looker is a strong advantage.
  • Proven ability to define and communicate metrics to diverse stakeholders.
  • Practical data governance experience (catalogues, IAM, metadata).
  • Independent working style with opportunity to drive data pipelines and quality checks.

Responsibilities

  • Co-design and maintain core energy market and optimisation data insights with the international team.
  • Own Australian data pipelines; respond to incidents and resolve issues promptly.
  • Build and evolve data models across Product, Energy Services, Sales and Operations.
  • Create dashboards and reports spanning department KPIs and energy intelligence.
  • Educate stakeholders with self-serve tools and best practices.
  • Drive automation and integrations to scale data capability as the business grows.

Skills

SQL
BigQuery
dbt/SQLMesh
Looker
Data storytelling
Python basics
Stakeholder communication
Autonomy

Education

Bachelor's degree in a related field

Tools

dbt
SQLMesh
Python

Job description

Insight Resourcing is partnering with 1KOMMA5° Australia to secure an Analytics Engineer who will own the Australian data initiatives. You will design and maintain scalable data models, collaborating with the global Data & Analytics Platform team to enable data-driven decisions.

You will lead Australian product, sales and operations data pipelines, work with Product, Marketing, Sales and Support, and help build a data stack and culture that empowers fast, confident decisions across the business.

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