Analytics Engineer

About Brighte
Our mission is to make consumer energy resources (CER) affordable and accessible for everyone.

Brighte is building the platform to enable and accelerate the energy transition by making it affordable, easy and less risky to buy and sell energy equipment.

Our founder and CEO, Katherine McConnell, has been awarded Telstra Businesswoman of the year in 2020 as well as winning the Sustainability Crusader award at B&T's 2023 Women Leading Tech Awards. She is a passionate and humble leader who has a human first approach to business.

As a business in 2025, we have been named a AFR Sustainability Leader within the Banking and Finance category and won the inaugural Sustainability Award at the Affies in 2024!

 

About the Role

Design, build, and maintain dbt/SQL transformations and dimensional models that power self-serve analytics and AI - documented, tested, and built to last.

You'll own data quality, lineage, and CI/CD from the ground up, so when someone looks at a number, they trust it. Around 20% of your time you'll work directly with stakeholders, turning business questions into metrics and feeding real-world insights back into the models.

Day-to-day you’ll

• Build and maintain dbt models, tests, and documentation for dimensional warehouse schemas (star/snowflake).
• Develop and evolve a semantic layer/metrics definitions to enable consistent self-serve in BI and AI tools.
• Implement data quality checks, lineage, and documentation; monitor data freshness and model performance.
• Contribute to orchestration and CI/CD workflows (e.g., dbt Cloud/CI, scheduler) with git-based workflows.
• Partner with stakeholders for light analysis and dashboarding (~20%), translating questions into metrics and iterating on insights.
• Contribute to standards, conventions, and documentation to scale data development across teams.

About You

• Strong SQL (CTEs, window functions) and hands-on dbt experience across models, tests, and docs
• Solid data modelling fundamentals — dimensional schemas, SCDs, and metrics/semantic layer literacy
• Git-based workflows, code review habits, and CI/CD basics for data changes
• A quality-first mindset: testing, lineage, ownership, and documentation that consumers can rely on
• Comfort with at least one BI tool (Tableau, Power BI, Looker) and an eye for good dashboards
• The ability to translate business questions into metrics and explain trade-offs without the jargon
• Bonus: Python for data tasks, orchestration exposure, or monitoring/observability experience

 

Our hiring process

We use AI every day at Brighte, and we hire people who do too. Every role includes a short assessment that shows us how you put AI to work — use whatever tool you're most comfortable with, there's no trick to it.

 

Background and reference checks (police, AML, bankruptcy) come towards the end. We use AI in parts of our recruitment process, but final decisions are made by humans.

 

What's in it for you

A front-row seat to Australia's energy transition. Brighte finances and electrifies homes at scale — solar, batteries, hot water, heating — and our enterprise partners are central to this. 

On top of that:

• Hybrid working. 3 days in office, 2 from home.
• We love our Socials - lunches, drinks, snacks, table tennis, a properly stocked pantry, and the company of people you actually like.
• Employee Share Option Plan (ESOP). Share in Brighte's success.