dbt and BigQuery consultants Brisbane, Sydney and Melbourne

Data analytics warehouse development with dbt and BigQuery

We help Brisbane, Sydney and Melbourne teams use BigQuery and dbt properly: extracting source data, modelling trusted metrics, testing business logic, and publishing datasets that Tableau and AI reporting can rely on.

  • dbt consultant support for models, tests, documentation, marts and metric definitions
  • BigQuery consultant support for warehouse design, cost control, access and performance
  • Data analytics warehouse development for APIs, SaaS connectors, orchestration and reporting foundations
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Data extraction, BigQuery, dbt and reporting architecture

Fix slow dashboards, broken data, or reporting issues - without long consulting cycles.

What clients get from a dbt and BigQuery consultant

The full data path from source systems to governed models, trusted Tableau reporting, and AI-ready datasets.

Connected source systems and integrations

Source data extracted properly

Make, Fivetran, custom APIs, and SaaS integrations.

We connect operational, finance, CRM, marketing, and spreadsheet sources into a controlled ingestion layer so reporting stops relying on manual exports.

Reliable pipelines and orchestration

BigQuery designed for reporting

Warehouse structure, access, performance, and cost control.

We shape BigQuery around analytics consumption so Tableau, finance reports, and AI use cases can query governed data efficiently.

Cloud-native data warehouse foundations

dbt transformation and reusable metrics

Business logic that is tested, documented, and reusable.

We move calculations out of isolated dashboards and into dbt models, tests, and marts that teams can reuse across reporting.

API integrations and external platform connectivity

Tableau and AI-ready datasets

Data models built for the final reporting experience.

We publish clean datasets and marts that support Tableau dashboards, management reports, and future AI analysis without rebuilding the logic each time.

dbt and BigQuery consulting services

Delivery across analytics warehouse architecture, dbt engineering, transformation, quality, and reporting foundations for Brisbane, Sydney and Melbourne teams.

01

BigQuery warehouse design

Model the warehouse around business entities and reporting use cases.

We design raw, staging, and curated layers that support finance, operations, sales, and executive analytics without forcing every dashboard to rebuild logic from scratch.

02

dbt modelling and reusable business logic

Move calculations into version-controlled, testable models.

We build dbt models, documentation, and tests so business logic becomes reusable across dashboards, self-service analysis, and future data products.

03

Integrations, APIs, and orchestration

Automate how data enters the platform.

From SaaS connectors to custom API extraction, we orchestrate the movement of data into the warehouse with clear scheduling, dependency management, and failure handling.

04

Data quality and operational hardening

Protect trust in the numbers.

We implement testing, freshness checks, reconciliation rules, and controlled release practices so reporting issues are caught before stakeholders see them.

Data Engineering FAQ

Practical questions about platform design, delivery, and operating model.

We start with source-system discovery, reporting requirements, and current pain points. From there we design the target warehouse and modelling approach, build ingestion and transformation in controlled increments, validate data quality with business users, and finish with documentation, runbooks, and handover support.

We do both. In some engagements we modernise an existing BigQuery or cloud warehouse, clean up dbt models, and stabilise pipelines. In others we design the platform from the ground up. The right path depends on how much of the current stack is worth preserving.

Yes. We treat modelling as a core part of the platform, not a separate add-on. That includes staging and curated models, tests, documentation, and reusable business definitions so dashboards are built on governed logic instead of one-off workbook calculations.

We build validation into the delivery process with source-to-target checks, freshness monitoring, reconciliation logic, and stakeholder review of critical metrics. That means quality is tested continuously instead of being left until the end.

We can hand over the platform to your internal team with documentation and operational standards, or continue supporting optimisation, new source integration, and ongoing model changes as your reporting needs expand.