Data Engineering.
Lakehouse builds, pipelines, quality and migrations — a trusted, governed data foundation that analysts, scientists and AI products can rely on.
The foundation everything else depends on.
Every dashboard, model and AI agent is only as good as the data underneath. We build modern lakehouses with governance, quality and lineage baked in — not bolted on.
We're partner-certified across Databricks, Snowflake, Microsoft Fabric and the major cloud warehouses. Recommendations are based on your stack, skills and commercials — not our margin.
What we build.
Lakehouse & warehouse
Medallion architecture (bronze / silver / gold), governance, access controls, cost governance from day one.
Batch & streaming pipelines
Idempotent, observable, tested. Kafka / Kinesis / Event Hubs where real-time matters; orchestrated batch where it doesn't.
Data quality & lineage
Expectations-as-code, freshness SLAs, column-level lineage, data-product ownership. Not a manual audit.
Migration & modernisation
From legacy DW (Teradata, Netezza, Oracle DW, on-prem SQL) to modern lakehouse, with parallel-run and cut-over playbooks.
Integration
ERP / CRM / HRIS / core systems into the lakehouse. Fivetran, Airbyte, custom CDC — whichever fits.
Operate & optimise
FinOps on your lakehouse, cluster right-sizing, partition/tuning reviews, ongoing SRE support.
Working platform in weeks, not quarters.
Discover
Source audit, use-case alignment, target architecture sign-off.
Foundation
Lakehouse stood up, first three domains onboarded, governance scaffolding.
Scale
Domain-by-domain onboarding, quality gates, analyst enablement.
Operate
SRE, FinOps, platform evolution, new-domain playbook.
- ✓Production lakehouseGovernance, lineage, quality, access — in your cloud.
- ✓Pipeline libraryIngestion, transform, publish — all as code, all tested.
- ✓Data-product catalogueOwned, documented, SLA'd datasets consumers can trust.
- ✓Cost & performance baselineFinOps dashboard, optimisation backlog.
- ✓Operator runbookHow your team runs and extends the platform.
- ✓Migration retrospectiveFor migration engagements — lessons, risks, residual work.
Tools & frameworks we use.
A real engagement.
Housing group — legacy DW → Databricks lakehouse.
Three-year roadmap delivered in 14 months. 48 source systems onto a Databricks lakehouse; overnight batch window cut from 11h to 3.5h; licence cost down 41%.
Read full case study