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

Revenue Systems Engineer
FrankieOne —Melbourne VIC
- Contract
- Hybrid work
- APIs
- AI
5d
TDengine Platform Engineer
Tata Consultancy Services —Melbourne VIC
- Computer Science
- Analysis skills
- Bachelor's degree
1d
GTM Operations Lead
Heidi —Melbourne VIC
- Full-time
- Hybrid work
- Work from home
- Parental leave
1d
Databricks Architect
Unison Group —Melbourne VIC
- Hybrid work
- Azure
- SQL
- AWS
Quick Apply
20h
Senior / Principal Mining Engineer (Underground)
AMC Consultants —Melbourne VIC
- Full-time
- Hybrid work
- Business development
- Bachelor's degree
- Communication skills
- Life insurance
Quick Apply
1d
Senior Software Architect - AWS
Budgetly —Melbourne VIC
- Up to $200,000 a year
- Full-time
- Remote
- AWS
- AI
- Annual leave
- Work from home
Quick Apply
1d
Senior Digital Cloud Solution Architect
Microsoft —Melbourne VIC
- Full-time
- Azure
- Computer Science
- Microsoft Office
17h
Senior Snowflake Consultant
InterWorks —Melbourne VIC
- Remote
- Azure
- Computer Science
- SQL
- Health insurance
- Gym membership
Quick Apply
1d
Solutions Architect
InterWorks —Melbourne VIC
- Remote
- Azure
- Computer Science
- SQL
- Health insurance
- Gym membership
Quick Apply
1d
Data & Analytics Engineer
The Gemba Group —Melbourne VIC
- Full-time
- Azure
- Research
- SQL
2h
Senior Data Scientist
Vinarchy —Melbourne VIC
- Full-time
- Hybrid work
- Azure
- Data analysis skills
- SQL
- Health insurance
- Parental leave
3h

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analytics engineer data & analytics jobs near cremorne, vic

Revenue Systems Engineer

FrankieOne -
Melbourne VIC

Apply Now

Job Details

Contract
5 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.

Apply Now

Refine Your Search

analytics engineer data & analytics jobs in cremorne, vic

Revenue Systems Engineer

TDengine Platform Engineer

GTM Operations Lead

Databricks Architect

Senior / Principal Mining Engineer (Underground)

Senior Software Architect - AWS

Senior Digital Cloud Solution Architect

Senior Snowflake Consultant

Solutions Architect

Data & Analytics Engineer

Senior Data Scientist

I want to receive the latest job alert for analytics engineer data & analytics in cremorne, vic

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