Data Consulting & Engineering

Your data should work for you, not the other way around.

But the reality tends to be less than ideal, and that's where we step in.
We help organisations bring order to their data: fixing what's broken, clarifying what's unclear, removing what's outdated, and building what's needed.
Simple.

What we bring to the table

Tame data across the full stack.

Strategy through implementation — we stay involved until things work as intended.

Data Advisory & Architecture

A clear-eyed look at where you are and a pragmatic plan for where to go.
We map your data landscape and help you navigate through it.

Warehousing & Pipelines

Warehouses, lakehouses, ETLs, and everything in between.
We choose tools that fit your team, budget and other constraints.

Business Intelligence

Data models, reporting and dashboards that people actually use.
We encourage a self-service culture so your business is not bottlenecked by IT.

Machine Learning & AI

From prototype to production.
We build, deploy, and monitor ML models and AI integrations where it genuinely adds value - hype aside.

Data Quality & Governance

The unsexy work that makes everything else possible. Validation rules, cleansing, lineage tracking, ownership frameworks — to be reliable data must be trustworthy.

Integration & DevOps

The connective tissue between your systems. APIs, data contracts, CI/CD, IaaC, and the operational plumbing that keeps data flowing.

Engineers first,
consultants second.

Materialized View was born out of an observation. We've seen many capable professionals working hard, wanting to deliver good work, being held back by their data systems working against them. As engineers we've also been the ones correcting pipelines at 10 PM, debugging ETL jobs that nobody documented, and explaining messy data models untouched since Windows XP. That is not fun.

Fortunately, it does not have to be this way.

We're a small team, deliberately. It means you work with experienced people from day one. We value clarity over complexity, and we don't want recommend a platform you don't need just to pad an invoice.

Whether you're a startup choosing your first data stack or an enterprise untangling a decade of technical debt, we've likely tackled something similar.

17
Projects delivered by our professionals
3
Experienced practitioners
12
Organisation helped thus far
2
Years working together as a team

Transparency and trust.

We believe the best way to do business is via honesty, clarity and consistent delivery of tangible value.

01

Listen

We spend time understanding your pain points, your stack, and what success actually looks like before we propose anything.
You'll always know where things stand.

02

Map & Prioritize

A practical architecture and roadmap shaped by your constraints: budget, timeline and priorities.
We optimise for what's achievable, not what's ideal on paper.

03

Build Together

We work alongside your team - regular check-ins, shared repos, workshops and knowledge transfer from the start.

04

Hand Off & Support

Thorough documentation, monitoring setup, and a transition plan. We stick around for as long as you need — then step back cleanly.

Curious? Let's have a conversation.

Whether you have a concrete project or just a subtle feeling that your data could be working harder — we're happy to chat.
Schedule a 30 min session via either method: