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Data Engineering & Modern Data Platforms / SUB-PRACTICE 4.2

Data Engineering & Integration.

Every Data Engineering & Integration service AI Solution Technologies delivers — 18 in total, within the Data Engineering & Modern Data Platforms practice.

Book a scoping call →See how it runs
Batch, streaming and real-time processing patternsIntegration with ERP, CRM and financeAutomated testing and reconciliationObservability across freshness, volume and schema
BUILT ON
MicrosoftAzureAWSGoogle CloudDatabricksSnowflake

The problems Data Engineering & Integration exists to solve.

Data arriving late, incomplete or in inconsistent formats
Pipelines that fail silently and are discovered by users
Integration built point-to-point and impossible to maintain
No ability to reprocess or reconcile to source

What is Data Engineering & Integration?

SENIOR-LEDPipeline and integration architecture
PRODUCTION-READYBuilt and tested ingestion and transformation pipelines
KPI-DEFINEDReconciliation to source with documented tolerances

Get a free discovery sprint

Before you commit, we help you confirm the use case, check data readiness, define the KPI, and work out which of the 18 Data Engineering & Integration services actually fit the problem you have.

For a limited number of teams each quarter, we run the full sprint free of charge.

Claim a free sprint →
THIS SUB-PRACTICE
18SERVICES
0NEW FOR 2026-27
7STAGE DELIVERY

How Data Engineering & Integration runs.

01
Confirm objectives, stakeholders, constraints and success measures
Review current systems, data, controls and delivery readiness
Prepare the target design, backlog, governance and implementation plan
Test the priority requirements through a prototype, pilot or controlled design review
Configure, integrate, test and deploy the approved solution
Train users, transfer knowledge and establish operating procedures
Monitor adoption, performance, cost, quality and improvement opportunities
KEY CAPABILITIES

What we bring to Data Engineering & Integration.

  1. 01Batch, streaming and real-time processing patterns
  2. 02Integration with ERP, CRM and finance systems
  3. 03Automated testing and reconciliation
  4. 04Observability across freshness, volume and schema
  5. 05Engineering practice that supports change safely

What you get, and what follows

DELIVERABLESPipeline and integration architectureBuilt and tested ingestion and transformation pipelinesReconciliation to source with documented tolerancesObservability, alerting and error handlingDeployment automation and environment managementOperational documentation and handover
BUSINESS OUTCOMESData that arrives on time, complete and reconciledIssues detected before users are affectedReduced cost and risk of changeA platform that can absorb new sources predictablyDocumented, transferable engineering practice

The 18 services inside Data Engineering & Integration.

18 SERVICES
Azure Data FactoryDesign and build of orchestration and data movement pipelines using Azure Data Factory.Data Pipeline ArchitectureArchitecture for ingestion, transformation, orchestration and observability across batch and streaming workloads.ETL & ELT ServicesDevelopment of extract, transform and load processes with testing, error handling and reprocessing capability.Data Integration SolutionsIntegration of data across applications, databases, files and external providers into a governed platform.API & System IntegrationDevelopment and integration of application programming interfaces between enterprise systems.Real-Time Data ProcessingLow-latency processing of event streams for operational analytics and immediate action.Batch Data ProcessingScheduled, high-volume processing with dependency management, restartability and reconciliation.Streaming Data PlatformsImplementation of event streaming infrastructure and the patterns that make it maintainable.ERP Data IntegrationExtraction and integration of data from enterprise resource planning systems into the analytics and AI estate.CRM Data IntegrationExtraction and integration of customer relationship management data with consistent customer identity.Finance-System IntegrationIntegration of general ledger, sub-ledger, billing and treasury systems into a reconciled financial data layer.Data MigrationPlanned migration of data between platforms with profiling, mapping, validation, reconciliation and cutover.Data ObservabilityMonitoring of freshness, volume, schema, distribution and lineage so data issues are detected before users find them.Pipeline MonitoringOperational monitoring and alerting for pipeline health, latency and failure.DataOpsEngineering practice covering version control, automated testing, continuous delivery and environment management for data.Integration TestingSystematic testing of end-to-end data flows including reconciliation to source and regression protection.Data Platform BuildDesign and construction of a complete enterprise data platform from landing zone to consumption layer.DevOps for DataAutomated build, test and release pipelines for data platform code, configuration and infrastructure.
INVESTMENT & DELIVERY

How we engage on Data Engineering & Integration.

INDICATIVE VALUE
A$60,000 – A$250,000A$250,000 – A$1,200,000Monthly retainer, A$7,500 – A$25,000 per monthA$1,200,000 – A$3,000,000
The bands across these 18 services. Each service page carries its own; the scoping call confirms the range for your environment before anything is committed.
DELIVERY MODELS
Fixed price or milestone basedMilestone based, or time and materials for evolving scopeManaged-service retainer with agreed service levelsMilestone based with a controlled change process
Delivered by a senior-led Australian team across 7 stages, from discovery through to optimisation.Discuss scope and timing ›
WHO THIS IS FOR
  • Banks, insurers, superannuation funds and professional-services firms
  • Construction, engineering and infrastructure contractors
  • Utilities, energy and resources operators
  • Large enterprises and mid-market organisations undergoing modernisation

What our customers say.

All customer stories
"Reconciliation that took our team nine days now closes in three — with a full audit trail on every match. It changed how the board sees AI.
Finance ManagerGCC Construction Group, Dubai
"Site teams stopped digging through folders. They ask the assistant, they get the clause with a citation, and they move on.
Project DirectorTier-One Contractor, Sydney
"The anomaly models flag outliers the week they appear, not at quarter-end. We stopped two overruns before they hit the P&L.
Commercial DirectorProperty Developer, Dubai
"Seven subsidiaries of spreadsheets became one governed reporting platform. The executive finally trusts the numbers on the screen.
Group CFOInfrastructure Holding, Riyadh

Our partnerships with
industry leaders

MicrosoftSolutions Partner
Google CloudPartner
SalesforcePARTNER
AWSpartner
network

Elsewhere in Data Engineering & Modern Data Platforms.

The whole practice →
SUB-PRACTICE 4.1Microsoft Fabric13 servicesExplore ›SUB-PRACTICE 4.3Data Modelling & Warehousing10 services · 1 newExplore ›

Scope Data Engineering & Integration in one call.

Tell us the problem. We'll tell you which of the 18 services fit — and exactly how we'd deliver them.

Book a scoping call →
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