Data strategy & architecture
A target architecture matched to your size and budget — warehouse, lakehouse or something deliberately simpler.
Data Engineering & Analytics
Pipelines, warehouses and dashboards that turn scattered operational data into numbers your leadership team can act on with confidence.
Overview
What this looks like in practice
Reporting fails when nobody trusts the number. We build the pipelines and definitions underneath the dashboard, so the figure on the screen survives a hard question in a board meeting.
Every engagement starts with discovery, so the scope reflects your systems and constraints rather than a template. You get a written proposal with fixed pricing before any work begins.
What you get out of it
- One trusted set of numbers across teams
- Reports that refresh themselves
- Hours of manual consolidation removed monthly
- Decisions made on current data, not last quarter's
Capabilities
How we can help
Engagements are sized to the problem — a single piece of this, or the whole programme.
Pipelines & ETL/ELT
Reliable, monitored ingestion from your applications, databases and third-party platforms.
Data warehousing
Modelled, documented warehouses on Snowflake, BigQuery, Redshift or Azure Synapse.
Business intelligence
Power BI, Tableau and Looker dashboards built around the decisions they support, not every field available.
Data quality & governance
Validation, lineage, access control and a shared definition of what each metric means.
Real-time analytics
Streaming pipelines for operational data where yesterday's batch is already too late.
Our process
From first call to running system
Discover
We review your current state, constraints and goals, and agree what a good outcome measures as.
Design
Architecture, scope and fixed pricing documented for your approval before delivery starts.
Build
Short cycles with working output you review, so direction can change early rather than late.
Support
Handover, documentation and training, then ongoing monitoring and improvement under SLA.
Related services
Often delivered alongside
AI & Automation
Put AI to work on the repetitive parts of your business — document processing, support triage, forecasting and workflow automation that pays for itself.
Learn moreCloud & Infrastructure
Design, migration and day-two operations across AWS, Azure and Google Cloud — built for uptime, cost control and the growth you are planning for.
Learn moreCustom Software Development
Web platforms, mobile apps and internal systems built to fit how your business actually operates — not how an off-the-shelf product wishes it did.
Learn more
Get started
Ready to talk about Data Engineering & Analytics?
Book a free consultation. We'll scope the work honestly and tell you what it would realistically take.