Services

Our Technical Capabilities

Six service areas across the data and technology lifecycle. Select one to see what it covers, the problems it solves and how to engage us.

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Cloud Platforms

Microsoft AzureAWSGoogle Cloud

Data Platforms

DatabricksSnowflakeMicrosoft FabricBigQueryApache Spark

Integration & Engineering

InformaticaAzure Data FactorydbtApache AirflowKafka

Analytics

Power BITableauSQL

Governance & Operations

Microsoft PurviewUnity CatalogTerraformMLflow

Product names are trademarks of their respective owners. Listing a technology does not imply a formal partnership or certification.
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Platform selection is aligned to the requirements of each engagement. Product names are trademarks of their respective owners; listing does not imply partnership or certification.

Available engagement models
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Service 01 / 06

Data Engineering & Platforms

Build reliable, scalable data systems that support analytics, operations and AI.

What the service covers

We design and build data platforms that teams can rely on: well architected, well documented and maintainable after go-live. Whether you are starting from scratch or improving an existing platform, we work to your standards and business priorities.

Problems it helps solve

  • Data spread across systems that do not integrate cleanly.
  • Pipelines that fail silently, run late or need frequent manual intervention.
  • Platforms struggling with growing data volumes or new workloads.
  • Reporting and AI initiatives held back by inconsistent, poorly modelled data.
Discuss your data engineering requirements with us.