DATA ENGINEERING & ANALYTICS
Data warehouses that nobody queries. Dashboards that answer last quarter's questions. Pipelines that break when the source system changes. We've been inside enough data projects to know exactly where they stall — and what it takes to get them moving.
"Working with Halcrow is just like working with internal teams — we treat them as our own employees. They integrated so well with our operations to give us the engineering resources and expertise we need to meet the growing demands of our business."

David Bu
CFO, Sonnel Hospitality
CASE STUDIES
YOUR DIAGNOSTIC
We embed directly in your team — however that works for you — reviewing your data architecture, pipeline health, and analytics capability to give you an honest picture of what's missing and what it would take to fix it.
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We work with your data engineers, analysts, and business stakeholders — understanding where analytical capability is missing or misaligned, where the pipeline is breaking, and what's stopping the business from making decisions with the data it already has. We're not running a survey. We're reading the signals from inside the work.


A direct findings conversation. Every constraint named. Every recommendation ranked. No softening. If the problem is that you need data engineers you don't have, we tell you that. If the problem is that your warehouse was designed wrong from the start, we tell you that. If we're not the right fit to fix it, we tell you that too.
WHAT YOU LEAVE WITH
An honest read of exactly what's blocking your data project — from engineers who've built production data infrastructure across Snowflake, Redshift, BigQuery, dbt, and Databricks
A capability gap map — which data engineering skills are missing, which are present but misdeployed, which are blocked by something structural in the organisation
A ranked constraint list — the three things that, if fixed, would unlock the data value your project was supposed to deliver
A first-move recommendation — the single highest-leverage action, chosen because it unblocks everything else
Deployment options — if Halcrow is the right fit to supply the missing data capability, we'll outline exactly what that looks like
Objectives is what we measure
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"Halcrow took over an environment that was fragile and opaque, and made it resilient fast. We went from peak-season outages and failed checkouts to a full season of 100% uptime, with clear monitoring and alerts so we were never surprised."
Matt Goodall
Chief Executive Officer

"My team is good. I knew that. What I didn't know was what was getting in their way. Those are very different problems and Halcrow introduced us to the best solutions."
Tim Buric
Chief Technology Officer, Agilyx


"Our engineers really appreciated the immersion. Someone finally coming in who understood what they were dealing with and could translate it upward."
Ryan Leeder
Chief Technology Officer, Sticksecure

WHAT WE DO
Whether you're on Snowflake, Redshift, BigQuery, or building on dbt — we have engineers who've been inside your stack before and know what production-grade data infrastructure looks like.
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Some clients come to us with pipelines that work in development and break in production. Some are starting from scratch and need an architect who can design the warehouse correctly before they're locked in. Some have a data team that's capable but missing the specific engineering depth to handle the scale they're operating at.
We assess the gap and deploy the right capability — data engineers, analytics engineers, architects — embedded in your project, working alongside whoever you already have, accountable for the outcome.


We don't diagnose and leave. Once we know what's missing, we can run the engagement — data engineers and analytics leads embedded in your team, responsible for getting the data infrastructure to a point where it's genuinely driving decisions. Not advising on how it should be done. Doing it.
DATA PLATFORMS
We've shipped data infrastructure across every major stack.







WHY IT WORKS
A data warehouse that nobody queries is just expensive infrastructure. We've seen every version of this problem — and we know how to find the real constraint fast.
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FAQ
What happens after I book?
We already have a data team. Why would we bring in more people?
Our warehouse is built. The problem is nobody uses the dashboards.
How is this different from a data consultancy?
Consultation
We get inside your AI project. Capability gap map, ranked constraints, first-move recommendation.
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Get an honest read on your data project. Free.
Our engineers inside your project — close enough to the actual work to tell you exactly why it's stalling and what capability is missing.
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