Pipelines built for daily use
Bring data from your systems into repeatable pipelines, with clear schedules and recovery steps when a source changes or a job fails.
OUR SERVICES
Data Engineering
Reliable data.
Ready for real work.
From disconnected systems to data your team can use. We design, build and improve the foundations behind your reporting, analytics and AI, with Databricks, Microsoft Fabric and the platforms you already work with.
Talk to our teamDatabricksMicrosoft FabricData Platforms
THE FOUNDATIONS BEHIND THE ANSWERS
Bring the data together.
Keep it working.
Good reporting and AI depend on dependable data. We work through the practical details, from getting information out of source systems to checking its quality and keeping it up to date.
From source to useful datasets
Separate raw, checked and business-ready data so teams can trace an answer back to its source.
Access and environments
Plan permissions and separate development, testing and production around your organisation’s responsibilities.
Testing before release
Use version control, automated checks and repeatable deployment steps to make changes easier to review.
Jobs you can keep track of
Coordinate dependencies, monitor progress and make errors visible to the people responsible for resolving them.
A handover that makes sense
Document the decisions, walk through the pipelines and help your team maintain and extend the work.
A CLEAR ROUTE THROUGH YOUR DATA
Know where it came from.
Know what it is ready for.
Each stage has a purpose. Keep the original information, check what needs attention and give people datasets they can use with confidence.
- 01 / SOURCE
Collect
Databases, files and connected systems
- 02 / PREPARE
Check
Quality, consistency and transformation
- 03 / MODEL
Organise
Shared definitions and reusable datasets
- 04 / USE
Put to work
Reporting, analysis and AI applications
Access, quality checks and a record of changes throughout.
OUR PLATFORM EXPERTISE
Engineering across
your data platforms.
Our expertise in Databricks, Microsoft Fabric and wider data platforms helps you build on what you have and improve what is holding you back.
Databricks
Build and improve pipelines and reusable datasets in Databricks. Connect engineering decisions to the reporting and AI work they need to support.
Microsoft Fabric
Bring data preparation and reporting together in Microsoft Fabric, with a clear path from source systems to the teams using the information.
Platform integration
Bring cloud services, databases and existing systems into a maintainable data architecture.
HOW WE WORK WITH YOU
A clear path
from idea to use.
Whether you need help with a specific pipeline or a wider platform build, we agree the scope, responsibilities and handover with you from the start.
- 01
Map the sources
Understand the data, its quality and how often it needs to change.
- 02
Build and validate
Develop pipelines and models, with checks against source systems.
- 03
Run and improve
Put monitoring, documentation and ownership in place for ongoing operation.
BUILT TO BE UNDERSTOOD
Your team should know
how it all works.
We include documentation, operational walkthroughs and agreed ownership in the delivery plan. Your team should understand what runs, what to check and where to start when something needs attention.
Talk through your engineering needsLET’S TALK
Let’s make your data
easier to depend on.
Tell us what you are working on and where you need support.
Discuss your project