In-Demand Analytics engineer data & analytics Jobs in Melbourne, Vic

Revenue Systems Engineer
FrankieOne —Melbourne VIC
- Contract
- Hybrid work
- APIs
- AI
2d
Microsoft Cloud and Security Engineer
Department of Energy, Environment and Climate Action —Melbourne VIC
- Part-time
- Hybrid work
- Azure
- Administrative experience
- AWS
3d

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Revenue Systems Engineer
FrankieOne —Melbourne VIC
Develop commission calculation engines, financial reconciliation systems, and contract data extraction pipelines. AI & Machine Learning Systems (~35%).
2d
Microsoft Cloud and Security Engineer
Department of Energy, Environment and Climate Action —Melbourne VIC
They will collaborate across the Groups and have tight linkages with the Cyber Security Team to identify and mitigate cloud-specific security risks whilst…
3d

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Revenue Systems Engineer

FrankieOne -
Melbourne VIC

Apply Now

Job Details

Contract
2 days ago

Qualifications

Data modelling
Xero
APIs
Redshift
HubSpot
AI

Full Job Description

Role Purpose

Design, build, and own the production systems that power FrankieOne's revenue operations. The Revenue Systems Engineer is a senior technical role responsible for end-to-end ownership of data pipelines, AI/ML platforms, automation infrastructure, and internal tooling that enable the RevOps function to operate at scale. This is not a support or maintenance role — it is an engineering ownership role with direct business impact.

You will work within the Leverage Team, partnering closely with the Revenue Systems Engineer and the RevOps Manager to identify high-leverage problems and translate them into reliable, measurable production systems embedded in daily workflows across operations, management, sales, and client teams.

Key Responsibilities

AI & Machine Learning Systems (~35%)

Design, build, and maintain end-to-end ML systems including training pipelines, model serving, and API deployment for revenue-impacting use cases (scoring, classification, prediction).
Develop and operate AI-powered content generation and analysis systems that produce production-ready output at scale.
Build evaluation pipelines, feedback loops, and regression monitoring frameworks to ensure ongoing model performance.
Own the full lifecycle of deployed AI systems, including architecture, deployment, performance monitoring, and continuous improvement.
Identify high-value automation opportunities across the revenue workflow and design AI-first solutions to address them.

Data Platform & Backend Engineering (~30%)

Design and operate high-throughput data pipelines processing millions of records per day across both batch and real-time modes.
Build and maintain backend APIs and processing services that integrate HubSpot, Xero, Redshift, and other revenue-critical systems.
Architect scalable, low-latency data infrastructure that supports operational, analytical, and reporting needs.
Develop commission calculation engines, financial reconciliation systems, and contract data extraction pipelines.
Own data quality monitoring, alerting, and incident response for production systems.

Internal Platforms & Tooling (~20%)

Build internal tools and dashboards (React, Python) that are adopted and used daily across sales, operations, and management teams.
Develop email processing, workflow classification, and automation APIs that remove manual work from operational processes.
Create reporting and analytics services for enterprise clients and account managers.
Build training data systems and evaluation infrastructure that enable the team to develop and iterate on AI capabilities.
Maintain and improve the existing portfolio of production RevOps tools with a focus on reliability and performance.

Engineering Standards & Collaboration (~15%)

Take end-to-end technical ownership of projects, from architecture and scoping through to production deployment and ongoing operation.
Document systems, APIs, and data models to reduce key-person dependency and enable team scaling.
Establish and maintain engineering best practices including code review, testing, monitoring, and deployment standards.
Partner with the Senior RevOps Manager to identify the highest-leverage technical investments and translate business needs into engineering specifications.
Upskill and mentor the RevOps Manager in Python, automation, and AI tooling.

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analytics engineer data & analytics jobs in melbourne, vic

Revenue Systems Engineer

Microsoft Cloud and Security Engineer

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