Data platform & lakehouse
Bronze, silver and gold layers on cloud object storage with open table formats, giving you warehouse-grade query performance without locking your raw history inside a proprietary engine.
Services
Data & Analytics
Modern data platforms, reliable pipelines and governed, decision-ready analytics. Data warehousing has been part of our expertise since the beginning — this is that practice rebuilt on cloud-native lakehouse architecture.
Capabilities
Turning scattered systems into one trusted source
Most organisations do not have a data shortage. They have the same number reported three different ways, a pipeline nobody wants to touch, and reports that people quietly check against a spreadsheet. Our work is to fix that foundation, then build on it.
Pipelines & integration
Batch and streaming ingestion from databases, APIs, files and events, with idempotent loads, schema evolution handling, retries and alerting when a source goes quiet.
Governance & quality
Catalogue and lineage, ownership, access policies, PII classification and automated quality tests that fail loudly before a bad number reaches a board pack.
Analytics & reporting
Semantic models and dashboards in Power BI, Looker or Tableau, built around the questions people actually ask — with definitions agreed once and reused everywhere.
Warehouse modernisation
Migrating legacy SQL Server and on-premises warehouses to cloud platforms — refactoring stored-procedure logic into tested, version-controlled transformations along the way.
Real-time & operational data
Event streaming and change data capture for operational dashboards, alerting and the low-latency feature pipelines that machine learning models depend on.
Architecture
A layered platform that stays maintainable
We separate raw landing, conformed business entities and presentation layers so that a change in a source system does not ripple straight into every report. Each layer is versioned, tested and documented.
- Raw layer keeps an immutable copy of every source extract, so you can always reprocess history when logic changes.
- Conformed layer resolves keys, standardises definitions and applies quality rules once, centrally.
- Presentation layer serves purpose-built models to BI tools, applications and machine learning features.
- Orchestration handles dependencies, backfills and failure recovery without manual babysitting.
- Observability tracks freshness, volume and schema drift, and tells someone when a feed breaks.
Toolchain
Technologies we work with
Storage & compute
- Azure Synapse
- Microsoft Fabric
- Databricks
- Snowflake
- BigQuery
- Amazon Redshift
- SQL Server
Pipelines & transformation
- Azure Data Factory
- dbt
- Apache Airflow
- Apache Spark
- Kafka
- Python
Analytics & governance
- Power BI
- Looker
- Tableau
- Microsoft Purview
- Great Expectations
Good AI needs good data first
If your models are going to be trusted, the numbers underneath them have to be. We are happy to start with the unglamorous work — and to tell you honestly how much of it there is.