Service — Data Engineering

Data pipelines and warehouses that actually run.

Scalable pipelines, warehouses and ELT/ETL that ingest, clean and model your data — BigQuery, Snowflake, dbt, Airflow and the modern stack. Built with production discipline by an engineer who has done this for over two decades.

Glowing data pipeline flowing between servers and network nodes

Scope

What we build

Everything between raw data and reliable answers — engineered so your reports and dashboards finally agree with each other.

Data warehouse design

Modern warehouse architecture (BigQuery, Snowflake) with clean, documented models your analysts can trust.

Pipeline automation

ELT/ETL pipelines (dbt, Airflow) that ingest from your sources on schedule — no more manual spreadsheet exports.

Data quality & governance

Tests, monitoring and ownership rules so bad data gets caught before it reaches a decision — not after.

Who it is for

Signs you need data engineering

Reports that never match

Finance says one number, sales says another. A modelled warehouse gives everyone one source of truth.

Spreadsheet sprawl

Your business runs on emailed CSVs and manual copy-paste. Pipelines automate the grunt work.

Slow queries & fragile scripts

That nightly job that breaks weekly, or dashboards timing out — we rebuild it to run reliably.

Migrating off legacy

Moving on-prem reporting to the cloud? We plan and execute the migration without losing history or trust.

How it works

From data audit to production

01

Discover

We audit your data and find the highest-value problems first.

02

Design

Architecture and data models agreed before code is written.

03

Build

Onshore engineers ship in weekly increments. You see progress.

04

Run & optimise

Monitoring, support and iteration. We stay accountable after launch.

FAQ

Data engineering questions

Do we have to migrate everything at once?

No. We start with the highest-value problem and move incrementally — you see working results while your old systems keep running.

Which stack do you use?

BigQuery, Snowflake, dbt, Airflow and the modern open stack — and we work with tools you already use rather than forcing a rip-and-replace.

Can you feed our existing BI tool?

Yes. We build the data layer to be tool-agnostic, so your existing dashboards and BI tools keep working — just with better data behind them.

How do you keep our data accurate?

Automated tests, quality checks and monitoring run on every pipeline, so anomalies surface early instead of silently corrupting reports.

Data you can actually trust?

Tell us about your data — we reply within one business day with a clear path forward.