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Data Platform Engineering

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Turning Internal Intelligence into Market Advantage

Behind every decision-making capability is a platform that makes it possible. Clickflow builds secure, scalable, cloud-native data infrastructure that connects the dots between ingestion, storage, modelling, and analytics — without overengineering or tech sprawl.

We make sure your data foundations are strong enough to support real impact.

5 key deliverables

Modern Data Stack Design

From ingestion to insight using best-in-class tools (e.g. Fivetran, DBT, Snowflake, Azure, Fabric).

Lakehouse & Warehouse Engineering

Scalable storage solutions optimised for both raw and structured data.

ETL/ELT Pipelines

High-volume, resilient data movement built for speed and transparency.

Cloud Infrastructure & Security

Cloud-native, policy-compliant platforms with governance baked in.

DevOps & CI/CD Pipelines

Automated workflows that reduce friction and increase deployment reliability.

Why it matters

A smart data strategy fails fast without robust delivery infrastructure. But building platforms shouldn’t be a never-ending programme. Clients need the right architecture, right-sized for today — and scalable for tomorrow.

Why Clickflow’s approach should work better for your organisation

Cloud-native by default

  • We build for agility, elasticity, and operational ease.

Fit-for-purpose

  • No one-size-fits-all architectures — we design for your business, not our playbook.

End-to-end thinking

  • Engineering that aligns with reporting, AI, and operational goals.

Secure by design

  • Compliance, access control, and data privacy embedded from day one.

Why Clickflow wins here

We don’t build platforms for their own sake. We build them to serve the decision making that matters. That means future-ready, secure, intelligently designed data infrastructure, with the performance and governance that transformation demands.

87%

For a transportation sector client, Clickflow engineered a cloud-native platform that now handles billions of records annually across operational, commercial, and customer systems — reducing refresh time by 87%.

99.95%

A health tech client migrated to a new Azure-based architecture, achieving 99.95% data availability and lowering infrastructure costs by 30% within 6 months.

46%

In retail, we built a self-service data mesh with governed domains that cut BI backlog by 46%.