Brighte
FinTech
AnalyticsEngineer
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Analytics Engineer at Brighte. Skills: Dbt, SQL, Data modelling, BI tools. Design dbt/SQL transformations. Build dbt/SQL transformations”
Industry & Context.
Translate business questions
What They're Looking For.
Must Have
SQL (CTEs, window functions), Hands-on dbt experience, Solid data modelling fundamentals, Dimensional schemas, SCDs, Metrics/semantic layer literacy, Git-based workflows, Code review habits, CI/CD basics for data changes, Quality-first mindset, Testing, Lineage, Ownership, Documentation, Comfort with at least one BI tool, Translate business questions into metrics, Explain trade-offs without jargon
Nice to Have
Python for data tasks, Orchestration exposure, Monitoring/observability experience
What You'll Do.
Design dbt/SQL transformations
Build dbt/SQL transformations
Maintain dbt/SQL transformations
Build dimensional models
Maintain dimensional models
Build dbt documentation
Maintain dbt documentation
Develop semantic layer
Evolve metrics definitions
Implement data quality checks
Implement data lineage
Monitor data freshness
Monitor model performance
Contribute to orchestration workflows
Contribute to CI/CD workflows
Partner with stakeholders
Translate questions into metrics
Contribute to standards
Contribute to conventions
Contribute to documentation
How You'll Work.
Team & Collaboration
Work with stakeholders; Cross-functional teams
Communication Scope
Explain trade-offs
Process & Methodology
CI/CD, Git-based workflows
Full Job Description
## Description 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 — dime
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