Data Engineering & Analytics
From scattered data to decisions you can defend.
Most organisations already have the data they need and no reliable way to use it. It sits across spreadsheets, forms, and databases that don't talk to each other, and answering a straightforward question takes someone a week of manual exports and reconciliation — which means the question mostly doesn't get asked.
We build the layer in between. Pipelines that collect and clean data automatically, a schema that makes sense of it, and reporting that stays current without anyone maintaining it by hand.
Data pipeline development
Automated ETL from APIs, databases, forms, and files, on a schedule.
Cleaning and validation
Deduplication, normalisation, and quality checks that catch problems at ingestion rather than in a report.
Database architecture
Schemas designed to support analysis instead of fighting it.
Process automation
Replacing recurring manual data work with scheduled jobs.
Reporting and dashboards
Interfaces that answer the questions stakeholders actually ask.
- Can you work with our existing tools?
- Yes. Replacing everything is rarely the right answer. Most engagements connect what you already run rather than migrating you off it.
- Do we need a data warehouse?
- Often not. Below a certain volume a well-designed database and scheduled jobs do the job at a fraction of the cost, and we'll tell you if that's your situation.
Work directly with the experts responsible for your project.
No sales hand-off. Start a conversation about your Zero Trust, SASE, or OT/ICS environment — or the software, cloud, and data platforms behind it.