Analytics Engineer

<p><strong>About Brighte</strong><br/>Our mission is to make consumer energy resources (CER) affordable and accessible for everyone.</p> <p>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.</p> <p>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&amp;T's 2023 Women Leading Tech Awards. She is a passionate and humble leader who has a human first approach to business.</p> <p>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!</p> <p> </p> <p><strong>About the Role</strong></p> <p>Design, build, and maintain dbt/SQL transformations and dimensional models that power self-serve analytics and AI - documented, tested, and built to last. <br/><br/>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.</p> <p>Day-to-day you’ll</p> <ul type="disc"> <li>Build and maintain dbt models, tests, and documentation for dimensional warehouse schemas (star/snowflake).</li> <li>Develop and evolve a semantic layer/metrics definitions to enable consistent self-serve in BI and AI tools.</li> <li>Implement data quality checks, lineage, and documentation; monitor data freshness and model performance.</li> <li>Contribute to orchestration and CI/CD workflows (e.g., dbt Cloud/CI, scheduler) with git-based workflows.</li> <li>Partner with stakeholders for light analysis and dashboarding (~20%), translating questions into metrics and iterating on insights.</li> <li>Contribute to standards, conventions, and documentation to scale data development across teams.</li> </ul>   <p><strong>About You</strong></p> <ul> <li>Strong SQL (CTEs, window functions) and hands-on dbt experience across models, tests, and docs</li> <li>Solid data modelling fundamentals — dimensional schemas, SCDs, and metrics/semantic layer literacy</li> <li>Git-based workflows, code review habits, and CI/CD basics for data changes</li> <li>A quality-first mindset: testing, lineage, ownership, and documentation that consumers can rely on</li> <li>Comfort with at least one BI tool (Tableau, Power BI, Looker) and an eye for good dashboards</li> <li>The ability to translate business questions into metrics and explain trade-offs without the jargon</li> <li>Bonus: Python for data tasks, orchestration exposure, or monitoring/observability experience</li> </ul> <p> </p> <p><strong>Our hiring process</strong></p> <p>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.</p> <p> </p> <p>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.<br/><br/></p> <p> </p> <p><strong>What's in it for you</strong></p> <p>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. </p> <p>On top of that:</p> <ul type="disc"> <li>Hybrid working. 3 days in office, 2 from home.</li> <li>We love our Socials - lunches, drinks, snacks, table tennis, a properly stocked pantry, and the company of people you actually like.</li> <li>Employee Share Option Plan (ESOP). Share in Brighte's success.</li> <li>End-of-trip facilities for cyclists, including showers and towel service.</li> <li>Anniversary leave. An extra day off each year to mark your time with us.</li> </ul> <p> </p>