SOLUTIONS

Modern data platforms on Azure & GCP — built to last.

We help you move your data infrastructure to the cloud the right way: with a solid architecture, clean governance, and a team that stays with you beyond go-live.

Let’s talk about your cloud journey

The cloud isn’t a destination. It’s how you get where you’re going faster.

Moving to the cloud isn’t just a technical decision — it’s a strategic one. Done well, it reduces operational overhead, unlocks scalability, and gives your data team the tools they need to move fast. Done poorly, it creates complexity, cost surprises, and data you can’t trust. We’ve helped organisations design and build cloud data platforms on Azure and GCP that are fit for purpose from day one — and designed to evolve as your business grows.

WHAT WE DELIVER

End-to-end cloud data platform delivery.

Cloud DWH Design & Build

Built for performance and maintainability from day one.

Whether you’re starting from scratch or migrating from an on-premise system, we design cloud DWH architectures that balance performance, cost, and maintainability. We work with Azure Synapse, Azure SQL, BigQuery, and Cloud Storage.

Scalable architecture designed for your data volumes
Platform selection based on your team’s skills and needs
Cost-optimised storage and compute design
Full technical documentation and runbooks

Data Pipeline Engineering

Reliable pipelines that run without constant babysitting.

We build reliable, observable data pipelines that move data from source systems into your cloud platform — and keep it moving. From batch ingestion to near-real-time streaming, we match the approach to the actual need.

Batch and streaming ingestion architectures
Built-in observability and error handling
Optimised for cost as well as performance
Aligned to your team’s operational capabilities

Data Governance & Quality

A platform is only as good as the data inside it.

We help you put governance structures in place from the start: data cataloguing, access control, quality monitoring, and lineage tracking — so your team always knows where data comes from and whether it can be trusted.

Data cataloguing and lineage tracking
Access control and security policies
Quality monitoring at every pipeline stage
Governance that scales as you onboard new sources

BI & Analytics Layer

Self-service analytics that actually works in practice.

We connect your cloud DWH to the BI tools your teams already use — Power BI, Looker, and others — with a well-structured semantic layer that makes self-service analytics real, not just theoretical.

Semantic model connecting business terms to data
Power BI and Looker integration
Role-based access for governed self-service
Designed for the queries your teams actually run

HOW WE WORK

We design for your team, not just for the architecture diagram.

The best cloud platform is one your team can actually use, maintain, and evolve. That’s why we spend as much time understanding your team’s skills and ways of working as we do on the technical design. We don’t disappear after delivery. We make sure your team is confident with what we’ve built — and we’re available when questions come up later.

Start with a clear architecture — documented, agreed, no surprises
Build in stages — deliver value early, adjust as we learn
Leave you self-sufficient — documentation, runbooks, and knowledge transfer included

STEP 1

Discover

We map your existing landscape: source systems, data volumes, team skills, and business requirements. This shapes every design decision.

STEP 2

Design & Build

We design the architecture, agree it with your team, and build iteratively — delivering usable components early and adjusting as we learn.

STEP 3

Hand over with confidence

Documentation, knowledge transfer, and runbooks included. You get a platform you understand and can evolve independently.

Planning a move to the cloud — or already there and looking to improve?

We’re happy to take a look at where you are and help you figure out what the next step should be. No commitment required.

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