In-Demand Machine learning engineer Jobs in Parramatta, Nsw

Senior Data Analytics /BI Lead
Macquarie Group Limited —Sydney NSW
- Full-time
- Hybrid work
- Master's degree
- AI
- Analytics
- Annual leave
- Work from home
Systems Engineer, Region Services
Amazon Support Services Pty Ltd —Sydney NSW
- Full-time
- AWS
- Scripting
- AI
Databricks Resident Solutions Architect
Ultra Tendency —Sydney NSW
- Remote
- Spanish
- Azure
- Master's degree
Quick Apply
Sr Security Engineer, Region Services
Amazon Web Services Australia Pty Ltd —Sydney NSW
- Full-time
- AWS
- Scripting
- AI
- Health insurance
- Employee assistance program

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machine learning engineer jobs near parramatta, nsw

Senior Data Analytics /BI Lead

Macquarie Group Limited -
Sydney NSW

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Job Details

Permanent | Full-time

Benefits

Matched giving program
Annual leave
Work from home
Parental leave
Employee assistance program
Paid volunteer leave
Salary packaging

Qualifications

Data modelling
Law
Master's degree
AI
Analytics

Full Job Description

Join Market Services, a team that is rebuilding the post-trade lifecycle from first principles by replacing manual, fragmented processes with a digital-first platform powered by event-driven architecture, deterministic controls, and AI-native workflows. The goal: eliminate manual intervention, enable true straight-through processing, and scale efficiently with volume.

We are a global financial services group operating in 30 markets with 57 years of unbroken profitability. At Macquarie, you’re empowered to shape a career that is fulfilling and creates value. You will bring your insights and expertise to the task at hand and feel supported as you make your own kind of impact for a better future.

What role will you play?

As the Senior Data Analytics/ BI Specialist, you will build the measurement and intelligence layer that underpins both operational performance and product capability. Working across performance engineering, product analytics, and data platform development, you will transform how Market Services measures and drives outcomes by replacing manual reporting with real-time, automated OKRs, KPIs, and operational metrics.

This role focuses on building a strong data and analytics foundation that is embedded into products from day one. This includes defining reusable data models and analytics patterns, and ensuring platforms are built with telemetry, lineage, and observability. You will contribute to building scalable and reliable data pipelines that reduce manual data preparation and enable consistent insight generation across teams.

In this role, you will support the evolution of analytics capabilities from descriptive to predictive and prescriptive, using AI and machine learning. Partnering with a hybrid team of engineers, analysts and AI agents, the focus is on embedding automation across data pipelines, insights and reporting. Success will be measured by the adoption of data-driven decision making, reduced reliance on manual reporting, increased use of self-service analytics and improved operational outcomes.

What you offer

Strong hands-on data engineering capability, able to build data pipelines, define schemas, write queries, and architect scalable analytics platforms, not just Lead others
Proven experience developing automated measurement systems, product analytics, and real-time KPI/OKR frameworks at scale
Ability to translate business strategy into measurable, data-driven metrics and embed analytics directly into products and workflows
Deep familiarity with modern data ecosystems, including event-driven architectures, streaming analytics, and data lakes/warehouses (ideally with exposure to AI/ML and LLM-powered tools)
Comfortable working with engineering, operations, and leadership to build, communicate, and drive adoption of data solutions

We love hearing from anyone inspired to build a better future with us, if you're excited about the role or working at Macquarie we encourage you to apply.

What we offer

At Macquarie, you’re empowered to shape a career that’s rewarding in all the ways that matter most to you. Macquarie employees can access a wide range of benefits which, depending on employment type, include:

1 wellbeing leave day per year
Up to 5 additional service bonus leave days per year
Up to 20 weeks’ paid parental leave for primary caregivers along with 12 days of transition leave upon return to work, and 6 weeks’ paid leave for non-primary caregivers
2 days of paid volunteer leave and donation matching
Up to 12 months’ gender affirmation leave, including 6 weeks’ paid leave
Access to Employee Assistance Program and wellbeing benefits including skin and health checks, and flu vaccinations
Access to a wide range of salary packaging options
Access to a wide range of learning and development opportunities, including reimbursement for professional membership or subscription
Hybrid and flexible working arrangements, dependent on role
Reimbursement for work from home equipment

About Technology

Technology enables every aspect of Macquarie, for our people, our customers and our communities. We’re a global team that is passionate about accelerating the digital enterprise, connecting people and data, building platforms and applications and designing tomorrow’s technology solutions.

Inclusion at Macquarie

We are committed to providing an inclusive environment for all, where different experiences, skills and perspectives are valued and respected. Macquarie provides access to opportunities for all individuals regardless of race, colour, religion, sex, sexual orientation, national origin, age, disability, protected veteran status, genetic information, marital status, gender identity or any other characteristic or circumstance.

We provide reasonable adjustments to individuals who may need support during the recruitment process and employment. If you require an adjustment, please let us know during the application process.

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machine learning engineer jobs in parramatta, nsw

Senior Data Analytics /BI Lead

Systems Engineer, Region Services

Databricks Resident Solutions Architect

Sr Security Engineer, Region Services

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