Data engineering consultancy
Data platforms that hold up in production.
Quantryx Technologies designs, builds and modernises cloud data platforms — from ingestion through to governed, analytics-ready data that the business can act on.
- transformed daily
- 30TBtransformed daily
- rows migrated
- 20B+rows migrated
- retail, banking, industry
- 15 yrsretail, banking, industry
- we build where you already are
- Cloud-agnosticwe build where you already are
The usual suspects
Sound familiar?
- Your warehouse bill is growing faster than your data.
- Pipelines fail silently — and the business finds out before the data team does.
- Two dashboards, same metric, different numbers.
- A cloud migration that stalled at 60% and nobody wants to own.
- Analysts blocked for weeks waiting on an engineer.
- Nobody can say where a number came from, or prove it to an auditor.
Every one of these is an engineering problem with an engineering fix.
Services
Four things we do
Deep rather than broad. Each of these is work we have taken from proposal to production, at scale, more than once.
Build
Cloud data platforms from scratch or from a legacy stack. Warehouse, ingestion, orchestration and transformation, delivered as reproducible infrastructure-as-code.
Optimise
Cut warehouse spend and query latency. Partitioning, clustering, storage tiering and pipeline redesign, with the savings measured before and after.
Govern
Lineage, data quality, cataloguing and privacy controls. The register-and-lineage groundwork every audit and privacy regime asks for, built inside regulated banking.
Embed
Fractional data engineering. Senior capacity on a monthly retainer for teams that need the seniority without the headcount.
Why Quantryx
What is different about working with us
Senior-only delivery
The person who scopes the work is the person who writes the code. No handover to a junior after signature.
Everything in code
Infrastructure as code and version-controlled transformations from day one. Every pipeline reproducible, reviewable and revertible — no click-ops you inherit and cannot audit.
Cost is a design constraint
Partitioning, clustering and storage decisions made against your bill, not against a reference architecture.
Governance built in, not bolted on
Lineage and PII handling designed at the start, because retrofitting compliance costs three times as much.
Pipelines as production lines
Process-engineering discipline applied to data: throughput measured, capacity planned, bottlenecks found before they find you.
Selected work
Scale, migration, and regulation
Three engagements that between them cover most of what a serious data platform has to survive.
International fashion retail
20 billion rows of price history, integrated without breaking the budget
Eight terabytes of historical product pricing, moved into the warehouse with integrity intact and query cost under control.
8TB · 150+ stores plus e-commerce
Read the case studyFinancial market data
A legacy warehouse, rebuilt in the cloud
End-to-end design and migration of a data platform to the cloud, with governance and deployment consistency established alongside the build.
Full platform migration
Read the case studyCorporate and investment banking
Privacy regulation, implemented inside a corporate bank
A data governance capability built from concept to delivery, then reused to meet a second regulatory regime without being rebuilt.
Two regulatory regimes
Read the case studyDelivered by Quantryx engineers in senior and lead roles. Client names are withheld under confidentiality; sector, scale and stack are accurate.
All case studiesHow we work
Four steps, and you can stop after the first
The assessment is deliberately self-contained. You get the findings and the roadmap whether or not you continue with us.
- 01
Assess
One to two weeks. We map the current stack, costs and failure points, and hand you a written findings document with a prioritised roadmap. Fixed fee. Yours to keep whether or not we continue.
- 02
Design
Target architecture, migration path, cost model and delivery plan — agreed before a line of production code is written.
- 03
Build
Delivered in increments, in code, in your repositories, from day one. You see progress weekly, not at the end.
- 04
Hand over
Documentation, runbooks and a working session with your team. No lock-in by obscurity.
Stack
What we build with
Cloud platforms
We work across the major providers, in your account, not ours.
Warehousing
Cloud columnar warehouses and relational databases, sized against your workload.
Ingestion
Batch, event-driven and streaming — managed connectors where they fit, custom where they do not.
Transformation
Version-controlled SQL and distributed processing for the volumes that need it.
Orchestration
Scheduled and event-triggered pipelines with dependency management and alerting.
Delivery
Infrastructure as code, containers and CI/CD, so environments are reproducible.
We are not tied to one vendor and we do not arrive with a stack to sell you. We work in your cloud account, in your repositories, with the tools you already run where they are doing their job. Nothing we build depends on us staying.
Not sure where the problem is?
That is usually the first thing worth fixing. A short call costs nothing, and you will leave it with at least one concrete thing to try.
We reply to every enquiry within one working day.