Practice · Data & AI

Snowflake, Databricks and AI experts who turn data programmes into product.

We help organisations build the foundation for becoming truly data-driven. We connect businesses with elite data engineers who design modern data platforms across technologies such as Databricks & Snowflake. We provide specialist talent across machine learning, analytical AI, generative AI, and emerging agentic AI, helping organisations embed intelligence directly into their platforms and products.

Overview

What the Data & AI practice does.

Modern data stack market leaders from lakehouse foundations through to production AI, ML and analytics engineering. We work with data teams that treat data as a product, not a report.

Capabilities

Where we go deep.

Lakehouse platforms

Snowflake, Databricks and BigQuery foundations, governance and cost control.

Analytics engineering

dbt-first pipelines, semantic layers and self-serve analytics.

AI & machine learning

MLOps, feature stores, LLM applications and production AI service delivery.

Data governance

Cataloguing, lineage, quality and stewardship operating models.

Roles we place

The seats we fill in this practice.

  • Head of Data Platform
  • Analytics Engineer (dbt)
  • ML / AI Engineer
  • Data Product Manager
  • Snowflake Architect
  • Databricks Lead
Technologies

Stacks we work in every day.

SnowflakeDatabricksdbtAirflowFivetranMLflowLangChainLookerPower BI

Partner with the Data & AI practice.