Data engineering, designed for outcome.
From raw source systems to Snowflake, dbt, BI and Cortex-powered AI: governed, cost-controlled, and delivered by small senior teams.
What good looks like
- · One governed Snowflake platform per business unit or portfolio
- · Versioned, tested dbt models with a shared semantic layer
- · CI/CD, monitoring, and cost guardrails from day one
- · Predictable credit spend, transparent chargeback
- · AI use cases running natively on the same platform
Our Snowflake capabilities
Platform & Governance
Multi-account architecture, RBAC, tagging, masking policies, row access, network policies and cost guardrails.
Ingestion & Integration
Fivetran, Airbyte, Snowpipe, Snowpipe Streaming, Kafka Connect and native SAP / Salesforce / Workday connectors.
Transformation with dbt
Layered models (staging → intermediate → marts), tested and documented. CI/CD on GitHub Actions or Azure DevOps.
BI & Self-Service
Power BI, Tableau, Sigma or Streamlit-in-Snowflake, with governed metrics, row-level security, mobile-first.
AI with Snowflake Cortex
LLM-powered search, summarisation and classification directly on Snowflake data via Cortex functions and Snowpark ML.
Migration & Modernisation
Teradata, Netezza, Oracle, Redshift and Synapse → Snowflake with automated conversion and parallel-run validation.
FinOps & Cost
Warehouse right-sizing, query acceleration, materialised views, resource monitors, chargeback. 20–40% typical savings.
Managed Data Platform
24×7 pipeline SLAs, incident response, cost reviews, security posture and quarterly platform upgrades.
A pattern that scales
Source Layer
SAP S/4HANA & ECC, Salesforce, Workday, NetSuite, databases, event streams and APIs.
Ingestion Layer
Fivetran / Airbyte for SaaS. Snowpipe & Snowpipe Streaming. Kafka for events. Custom Python for edge cases.
Storage & Compute
Snowflake as one governed platform. Iceberg for open-format. Dynamic tables for incremental pipelines.
Transformation Layer
dbt Core / Cloud with layered models, tests, exposures and docs. Airflow or dbt Cloud orchestration.
Consumption Layer
Power BI, Tableau, Sigma, Streamlit-in-Snowflake, reverse-ETL, and secure data sharing via Snowflake Marketplace.
AI Layer
Snowflake Cortex LLM functions, Cortex Search, Snowpark ML and integration with Azure OpenAI / Foundry.
Built for enterprise data problems
Private Equity Portfolios
Consolidated portfolio reporting, standardised KPI packs, 100-day value-creation playbooks, exit-ready data rooms.
SAP-driven Enterprises
Bring SAP ECC / S/4HANA data into Snowflake for real-time analytics, close acceleration and AI use cases.
Digital-native Businesses
Product analytics, marketing attribution, customer 360 and ML feature stores, built to scale.
How we work with you
The same model across every service line: predictable, transparent, and built so you are never locked in.
Discovery
Architecture, data and cost review. Business outcomes and success metrics agreed up-front. Ends with a costed delivery plan you can take to any vendor, including us.
Foundation
A small senior pod delivers the first production increment (platform, pipelines or AI solution) with CI/CD, tests and documentation from day one. First value inside the first quarter.
Scale
Roadmap-led delivery in fortnightly increments. Transparent commercials, pod-based or T&M, with a named engagement lead and weekly steering.
Operate or Hand over
Managed service with SLAs and cost reviews, or a structured handover to your team. We build for handover by design: documented, tested, no lock-in.