UK TECHNOLOGY CONSULTANCY

Cloud, data and quality engineering that holds up in production.

Senior, hands-on engineering for UK organisations modernising platforms, data and delivery — from architecture through to automated testing and handover.

Available for outside-IR35 contracts and fixed-scope engagements.

01 / CORE CAPABILITIES

Deep expertise. Connected thinking.

Five disciplines. One coherent approach to enterprise engineering.

01

Cloud Engineering

Design and modernisation of secure, scalable cloud platforms and applications.

  • AWS
  • Azure
  • GCP
  • Serverless
  • Containers
  • Infrastructure as Code
  • CI/CD
Explore capability
02

Data Engineering & Platforms

Modern data platforms, lakehouses, pipelines and analytics foundations designed for reliability and scale.

  • Databricks
  • Snowflake
  • Apache Iceberg
  • dbt
  • Kafka
  • Data Lakes
  • Streaming
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03

AI & Intelligent Automation

Practical enterprise AI solutions including generative AI, RAG, intelligent search and workflow automation.

  • AWS Bedrock
  • Azure OpenAI
  • RAG
  • Vector Search
  • Enterprise Search
  • Automation
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04

Software & Integration Engineering

Reliable APIs, integrations and business-critical applications connecting enterprise systems.

  • Python
  • FastAPI
  • REST APIs
  • Microservices
  • System Integration
  • Legacy Modernisation
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05

Quality Engineering & Test Automation

Automated testing strategies and frameworks that let teams release with confidence.

  • Playwright
  • TypeScript
  • BDD / Cucumber
  • API Testing
  • CI Test Pipelines
  • Test Strategy
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02 / SELECTED EXPERIENCE

Engineering in the real world.

A selection of technical challenges and approaches, described without confidential client details.

See all work ↗

DATA / CLOUD

Enterprise Data Platform Modernisation

Challenge

Legacy data architecture and fragmented pipelines.

Solution

Designed cloud-native data pipelines and lakehouse architecture supporting large-scale enterprise and research datasets.

  • AWS
  • S3
  • Apache Iceberg
  • Glue
  • Python
  • dbt
  • Terraform

Outcome

Improved scalability, maintainability and data reliability.

03 / HOW WE WORK

Clarity at every stage.

  1. 01

    Understand

    We understand the business problem, existing architecture, constraints and outcomes required.

  2. 02

    Design

    We define the architecture, technology choices, delivery approach and implementation plan.

  3. 03

    Build

    We engineer, automate, test and deploy the solution using modern delivery practices.

  4. 04

    Operate

    We support documentation, knowledge transfer, optimisation and ongoing engineering.

04 / SECTOR UNDERSTANDING

Industries We Understand

Financial Services

Regulated, high-reliability systems where quality and auditability matter.

Higher Education

Connected institutional systems and dependable data.

Research

Scalable foundations for complex research datasets.

Public Sector

Maintainable systems with thoughtful access controls.

Enterprise Technology

Modern platforms that work with existing architecture.

Professional Services

Practical automation and integrated business workflows.

05 / WHY VRSABHA

Practical thinking. Hands-on delivery.

Engineering that respects your business context, your existing systems and the people who will operate them.

Senior engineering expertise

Hands-on technical delivery, from architecture decisions to implementation.

Practical architecture

Clear trade-offs and technology choices grounded in your constraints.

Security-conscious engineering

Data-protection-aware design, encryption and identity and access control.

Built to be owned

Documentation, knowledge transfer and secure software practices.

LET’S BUILD SOMETHING THAT WORKS

Have a cloud, data, AI, integration or quality challenge?

Talk to VRSABHA about your project and we can explore the right technical approach.