Data Engineering & Analytics

WHAT WE DO

Your data platform, built for the AI era.

We design and build cloud-native data platforms that are AI-ready from day one; governed, real-time, and engineered to scale across your entire ecosystem. No retrofitting. No shortcuts.

Data your organisation can trust

Clean, fresh, and traceable, built to the integrity and lineage standards that people, systems and AI demand. Because garbage in still means garbage out.

Data your organisation can trust

Clean, fresh, and traceable, built to the integrity and lineage standards that people, systems and AI demand. Because garbage in still means garbage out.

Data your organisation can trust

Clean, fresh, and traceable, built to the integrity and lineage standards that people, systems and AI demand. Because garbage in still means garbage out.

Real-time analytics that go where decisions happen

Replace batch reports and siloed data lakes with live, cross-platform intelligence. Snowflake, Databricks, Microsoft Azure, Amazon Web Services, Google Cloud Platform, self-hosted; wherever your data lives, we make it work together.

Real-time analytics that go where decisions happen

Foundations and architecture built to grow with your business

Modular, cloud-native data architecture designed around your cloud environment — built to be hybrid and ready to grow with your business.

Foundations and architecture built to grow with your business

Modular, cloud-native data architecture designed around your cloud environment — built to be hybrid and ready to grow with your business.

Foundations and architecture built to grow with your business

Modular, cloud-native data architecture designed around your cloud environment — built to be hybrid and ready to grow with your business.

Data governance and trust that's built in, not bolted on.

Quality controls, data lineage, and access management embedded from the start; not added as an afterthought when an audit is needed

Data governance and trust that's built in, not bolted on.

Quality controls, data lineage, and access management embedded from the start; not added as an afterthought when an audit is needed

Data governance and trust that's built in, not bolted on.

Quality controls, data lineage, and access management embedded from the start; not added as an afterthought when an audit is needed

WHY OMNIA

Data engineering and analytics consulting, built for Australian enterprise.

Omnia is a certified Databricks, Snowflake and Microsoft partner — delivering data analytics and engineering consulting and cloud-native data platforms for enterprise and government across Australia.

Certified Databricks, Snowflake and Microsoft Fabric partner

Cloud-native data platform delivery across Azure, AWS and GCP

Data engineering and analytics across financial services, insurance, government, retail and healthcare

100% Australian onshore delivery, end-to-end — from AI strategy to deployment

How we deliver

End-to-end data capability — architecture, engineering, analytics and governance — delivered as one accountable practice.

Data Architecture & Cloud Strategy

Lakehouse and data mesh design

Delta Lake, Microsoft Fabric and Azure Synapse

Cross-ecosystem data integration

Cloud data migration and modernisation

Cloud data platform strategy

Data Engineering & Pipelines

Multi-source data pipeline development

Real-time and batch data processing

AWS, Snowflake, Azure, Databricks, dbt and pipeline automation

MLOps and machine learning operationalisation

Microsoft Fabric data engineering

Advanced Analytics & Machine Learning

Predictive and prescriptive machine learning models

Geospatial and customer analytics

Natural language processing (NLP) and conversational data access

Snowflake Cortex AI implementation

Operational decision intelligence

Data Governance

AI-grade data quality frameworks

Data lineage and cataloguing

Privacy, compliance and regulatory data design

Data stewardship and operating models

Data quality monitoring and observability

Data Governance

AI-grade data quality frameworks

Data lineage and cataloguing

Privacy, compliance and regulatory data design

Data stewardship and operating models

Data quality monitoring and observability

OUR SOLUTIONS

Built by our team. Proven in production.

Data Engineering & Analytics

Government

Designing a Modern Cloud Platform Enabling Analytics and DevOps for the Government Department

A lakehouse data and analytics platform designed for analytics, data science, and DevOps-aligned delivery.

Data Engineering & Analytics

Government

Designing a Modern Cloud Platform Enabling Analytics and DevOps for the Government Department

A lakehouse data and analytics platform designed for analytics, data science, and DevOps-aligned delivery.

Data Engineering & Analytics

Financial Services

Embedded Analytics Support for a Major Australian Payments Provider

Unifying data across post-merger subsidiaries handling billions of annual transactions — three years embedded.

Data Engineering & Analytics

Financial Services

Embedded Analytics Support for a Major Australian Payments Provider

Unifying data across post-merger subsidiaries handling billions of annual transactions — three years embedded.

Data Engineering & Analytics

Retail

Optimisation of Product Placement for a major Aussie Supermarket

Applied data science scaled to 1,000+ stores nationally — proven through staged tests and a national rollout.

Data Engineering & Analytics

Retail

Optimisation of Product Placement for a major Aussie Supermarket

Applied data science scaled to 1,000+ stores nationally — proven through staged tests and a national rollout.

THE CHALLENGE

The gap between data-rich and insight-ready is widening. Closing it means building foundations that are governed, real-time, and engineered for AI from the ground up — not retrofitted. If your data isn't working as hard as your business, that's where we start.

Book a Call

THE CHALLENGE

The gap between data-rich and insight-ready is widening. Closing it means building foundations that are governed, real-time, and engineered for AI from the ground up — not retrofitted. If your data isn't working as hard as your business, that's where we start.

Book a Call

THE CHALLENGE

The gap between data-rich and insight-ready is widening. Closing it means building foundations that are governed, real-time, and engineered for AI from the ground up — not retrofitted. If your data isn't working as hard as your business, that's where we start.

Book a Call

Data Engineering & Analytics

Data engineering and analytics consulting for Australian enterprise — from raw data to decisions that run the business.

Data engineering and analytics consulting for Australian enterprise — from raw data to decisions that run the business.

Your data platform, built for the AI era.

Data your organisation can trust

Data your organisation can trust

Data your organisation can trust

Real-time analytics that go where decisions happen

Real-time analytics that go where decisions happen

Real-time analytics that go where decisions happen

Foundations and architecture built to grow with your business

Foundations and architecture built to grow with your business

Foundations and architecture built to grow with your business

Data governance and trust that's built in, not bolted on.

Data governance and trust that's built in, not bolted on.

Data governance and trust that's built in, not bolted on.

Data engineering and analytics consulting, built for Australian enterprise.

How we deliver

Built by our team. Proven in production.

The gap between data-rich and insight-ready is widening. Closing it means building foundations that are governed, real-time, and engineered for AI from the ground up — not retrofitted. If your data isn't working as hard as your business, that's where we start.

The gap between data-rich and insight-ready is widening. Closing it means building foundations that are governed, real-time, and engineered for AI from the ground up — not retrofitted. If your data isn't working as hard as your business, that's where we start.

The gap between data-rich and insight-ready is widening. Closing it means building foundations that are governed, real-time, and engineered for AI from the ground up — not retrofitted. If your data isn't working as hard as your business, that's where we start.

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