Data Engineering & Platforms
Power your data foundations with scalable engineering pipelines.
Data engineering is the heartbeat of any modern data platform. Without it, there’s nothing to report on, analyse or feed into AI.
We help organisations build reliable, scalable data pipelines that grow with their business, enabling high-performance analytics, future-ready architectures, and cutting-edge use cases. From reusable assets to AI-aligned foundations, we engineer for impact at pace.
Think of AI as the blueberry muffin: the good stuff needs to be baked in, not added on top. That’s why our engineering isn’t just technical, it’s strategic.
Engineering the AI future – from the ground up.
The world is talking about “Frontier Businesses” leading with AI. Our data engineering doesn’t just move data, it builds the foundations for your entire AI and analytics future. We take a value-first, agile approach that goes beyond “ingest and hope.”
Instead, we design pipelines that deliver insight early and often, with the flexibility and performance your BI and AI tools demand. Whether preparing for LLMs, real-time intelligence, or scaled self-service, we embed readiness from the start.
Real clients. Real results.
Explore our case studies to see how we’ve delivered strategies and solutions across industries – tackling challenges, enabling transformation, and proving what’s possible when it’s data by design.
Data Strategy: Delivered updated IP & I data strategy and roadmap, closing audits, reducing risk, and meeting client expectations within agreed timelines and budget.
Data Platform Modernisation & Engineering: Delivered a unified data lake, boosting processing speed, enabling self-serve reporting, and empowering a lean team to scale growth.
Data Architecture: Designed a scalable Databricks platform with Bronze, Silver, and Gold layers - improving trust, access, and enabling faster, real-time business decisions.
Your Questions, Answered.
Find quick answers to common questions about our data solutions – how we build, scale, and support your pipelines to power smarter business decisions.
What is data engineering, and why does it matter?
It’s the foundation of every modern data platform. Without engineering, data can’t be transformed, analysed or fed into BI/AI. Good engineering pipelines drive performance, insight, and scalability.
What’s happening with Azure Synapse?
Microsoft is winding down investment in Synapse in favour of Fabric. If you’re using Synapse, now’s the time to assess and plan your next move.
How do you ensure governance in engineering?
We embed logging, data quality checks, lineage and alerting into every pipeline, ensuring visibility and compliance from the start.
Our Data Foundations Experts
Lalith Korae
Tim Bowes
Mahathevan Suthakaran
Jonathon Moore
Mike Haresnape
Oliver Saywell
Junaid Sharif
All set to make your data AI-ready?
In one conversation, we’ll explore your challenges, share ideas, and leave you with clear next steps – questions to spark internal discussions and practical ways to progress your data and AI journey with confidence.
Let’s talk
Victoria Whittaker
Head of Business Development