Novalytix
Full-Stack Data Platforms
We design, build, and operate automated data platforms that replace manual, fragile processes with secure, dependable systems for trusted reporting.
Core Value Proposition
Delivering secure, automated, and dependable data platforms.
Total Ownership
End-to-end responsibility across infrastructure, ingestion, warehousing, modelling, and analytics.
Zero-Touch Deployment
Strict adherence to Infrastructure as Code principles, with no manual portal configuration.
Vendor-Agnostic Delivery
Proven experience deploying platforms on Azure SQL Hyperscale and Snowflake, selected based on requirements.
End-to-End Data Platforms
We design, build, and operate secure data platforms—from cloud infrastructure and networking through ingestion, transformation, orchestration, and analytics. We replace manual, fragile processes with automated systems that are reliable, observable, and cost-effective.
The result is a dependable platform that delivers trusted reporting, reduces operational risk, and gives teams confidence in the numbers—without ongoing engineering overhead.
What This Means for Your Business
Operational Automation
Replace fragile spreadsheets and manual workflows with automated pipelines that ingest, validate, and prepare data with built-in monitoring.
Reliable Insight
Turn raw operational data into trusted dashboards, with alerts that surface issues early and reduce fire-fighting.
Lower Ongoing Burden
Operate on a secure, self-monitoring platform that supports the business with minimal day-to-day engineering overhead.
Technical Capabilities & Delivery Model
A comprehensive approach to building modern data platforms
1. Infrastructure & Security
Infrastructure as Code (IaC)
Complete provisioning of cloud environments using Terraform. Strict standards with no manual configuration. Environments are reproducible and auditable.
Security-first design
Implementation of hub-and-spoke networking, OIDC identity management, and default-deny firewall policies.
Compute
Deployment of serverless containerised environments (Azure Container Apps) that auto-scale to zero to minimise costs.
2. Data Engineering & Architecture
Ingestion Pipelines
Custom ELT/ETL pipelines in C# and Python. Handling API-to-SQL, SQL-to-SQL, and file-based ingestion from third parties (finance, EPOS, HR, CRM).
Warehousing Strategy
Design and deployment of Snowflake or Azure SQL Hyperscale, tailored to specific client volume and cost requirements.
Transformation
Medallion Architecture (Bronze → Silver → Gold) using dbt to ensure data lineage, traceability, and clean logic.
3. Orchestration & Quality
Orchestration
Deployment of Prefect to turn scripts into resilient, observable workflows with full error handling and logging.
Data quality enforcement
Integration of Soda for automated data quality checks (schema validation, null checks) to guarantee trust before data hits the dashboard.
Observability
Implementation of Grafana dashboards for real-time monitoring of pipeline health and consumption costs.
4. Analytics & Consumption
Semantic Modelling
Creation of robust OLAP cubes and semantic models for self-service BI.
Visualisation
Building Power BI reports, dashboards, and financial breakdowns (real-time or incremental).
User Enablement
Supporting stakeholders in consuming semantic models directly via Excel or BI tools.
Let's Build Something Amazing
Whether you need to modernise your data infrastructure, implement advanced analytics, or build a custom data platform from scratch, we're here to help. Let's discuss how we can turn your data into actionable insights.
Get in Touch
Location
United Kingdom
"We take full responsibility for delivery, owning the entire technical roadmap from initial platform design through to ongoing operation."
- David McAlle
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Frequently Asked Questions
How do you structure your engagements?
We typically work on a project basis with clear deliverables and milestones. This ensures transparency and aligns incentives. For ongoing support, retainer models are also available.
Do you work with existing engineering teams?
Yes, we often embed with existing teams to provide specialized expertise in data platform architecture, helping to upskill internal resources while delivering critical infrastructure.
What is your preferred tech stack?
While we are pragmatic and adapt to client needs, our core expertise lies in the modern data stack: Snowflake/Databricks, dbt, Terraform, Python, and Azure/AWS cloud services.
Do you offer post-delivery support?
Absolutely. Every engagement includes a warranty period, and we offer optional maintenance packages to ensure your platform remains performant and secure as your data needs grow.