DRAWING NO. SVC-10 / DATA ENGINEERING

Clean data, reliable pipelines.

Analytics, ML and AI are only as good as the data feeding them. We build the pipelines that collect, clean and deliver your data on schedule, every time, at any volume.

Mil+
Rows handled
Auto
Retry on failure
GDPR
Compliant by design
24/7
Pipeline monitoring
FIG. 1 / THE PIPELINE, STAGE BY STAGE AS BUILT

EVERY STAGE LOGGED, MONITORED AND RETRIED. BAD DATA NEVER REACHES YOUR DASHBOARDS.

FIG. 2 / WHILE YOU SLEPT

The numbers, ready every morning.

FROM BUCKETS TO PIPES ON LOOP
  1. 01

    TODAY / BUCKET DUTY

    Copying numbers between systems by hand, like carrying water in buckets.

  2. 02

    WE LAY THE PIPES

    AI builds the plumbing so the information flows on its own, every night.

  3. 03

    CLEAN ON ARRIVAL

    Mistakes and duplicates filtered out along the way, automatically.

  4. 04

    MORNINGS START READY

    Coffee in hand, numbers already on the desk. Every single day.

SET UP ONCE, FLOWS FOREVER. THE RIGHT NUMBERS IN THE RIGHT PLACE EVERY MORNING, WITHOUT ANYONE CARRYING THEM.

SECTION A / WHAT YOU GET

Engineering you can sleep on.

Pipelines fail at 3am. Ours retry, reroute and alert, so Monday morning data is simply there.

SPEC 01

Error Handling

Automatic retries, dead-letter queues, and alerts when something goes wrong.

SPEC 02

Monitoring

Dashboards and alerts for pipeline health, latency, and data quality.

SPEC 03

Scalable

Handles millions of rows without breaking a sweat. Scales horizontally as your data grows.

SPEC 04

Secure

Encrypted in transit and at rest. Compliant with GDPR and UK data regulations.

SPEC 05

Data Quality Gates

Schema checks and anomaly thresholds stop bad data before it pollutes downstream systems.

SPEC 06

Documented & Owned

Architecture diagrams and runbooks handed over. Your team can operate it without us.

SECTION B / WHERE IT FITS

Pipelines we commonly build

01

Warehouse Feeds

All your operational systems flowing into BigQuery, Snowflake or Postgres nightly.

02

AI Training Data

Clean, labelled, versioned datasets feeding your machine learning models.

03

Finance Consolidation

Sales, billing and banking data unified for accurate month-end in hours, not weeks.

04

Legacy Migration

Data lifted out of ageing systems, cleaned and restructured for the replacement.

05

Real-Time Streams

Events processed as they happen for live dashboards and instant alerts.

06

Multi-Site Rollups

Branch, store or franchise data combined into one comparable view.

SECTION C / PROGRAMME OF WORKS

From first call
to running system.

WEEK 1
01

Audit

We map the workflow this service replaces and measure the hours it leaks.

OUTPUT: OPPORTUNITY MAP

WEEK 2
02

Design

A costed specification, sequenced by ROI. You approve before we build.

OUTPUT: SIGNED-OFF SPEC

WEEKS 3-4
03

Build

Engineered against your real data, integrated with your systems, tested.

OUTPUT: WORKING SYSTEM

ONGOING
04

Run & improve

We monitor, tune and extend, so the value compounds instead of decaying.

OUTPUT: HOURS BACK

START HERE

Tell us what's eating your team's hours.

We reply within 24 hours with an honest read on whether AI can fix it, and what it would cost. If it's not worth automating, we'll say so.

REPLY WITHIN 24H. NO OBLIGATION, NO SALES SCRIPTS.