Scalable data architecture
Designs that handle today’s volume and grow with you.
Data Engineering
A data foundationbuilt for next year.
Build a solid foundation for your data ecosystem. We design and implement scalable architectures that move, store and process data reliably.
Data Engineering & CloudWhat we deliver
Data Engineering & Cloud, end to end.
Data lakes & warehouses
One trusted home for your data, modelled for analytics and AI.
Secure ETL / ELT pipelines
Automated, monitored pipelines that keep data fresh and correct.
Big data processing
Apache Hadoop ecosystem, Apache Spark, Amazon EMR and Google Dataproc.
Cloud platforms
Built on AWS, Azure, Google Cloud and Databricks — whichever fits you best.
Batch & real-time
From nightly loads to live data feeds for real-time decisions.
How it works
Four steps, no black boxes.
- 01
Assess
Map your sources, systems and pain points.
- 02
Architect
Design the target platform and a step-by-step path to it.
- 03
Build
Implement pipelines, storage and models in short, visible iterations.
- 04
Operate
Monitor, optimise costs and hand over with documentation.
Results
What this has delivered.
$250K/yr
Demand optimizationannual savings
Project
+3.2%
AI for food delivery efficiencyoperational efficiency
Project
Real-time
Audience insights for virtual eventslive data pipeline
Project
Where it helps
Typical use cases
- Cloud data platform migration
- Unifying data from many systems
- Data lake and warehouse builds
- Pipelines for ML and AI
- Real-time event data
- Cost and performance tuning
Tools & platforms
Related services
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