Services Careers About

The best data experts for your team

We help organizations turn data into better decisions. From building strong data foundations to delivering actionable insights.

How we help

Trusted by data teams in Europe, the US, and the Middle East

What We Do

An extension of your data team

Get the right data expertise for your projects, whether you need a single specialist or a full data squad. We embed with your teams to solve critical data challenges and bring the expertise needed to get things done efficiently.

  • Senior-led teams on every engagement
  • Embedded in your stack, your tools, your rituals
  • A counterpart who challenges, not an order taker
  • Best practices carried across a wide range of clients
  • Enablement and documentation built into delivery
  • One accountable team, from first call onwards

How We Help

Critical data challenges, solved properly

Data Quality & Reliability

Testing, monitoring, and incident response for the data your business actually runs on, so numbers stop being a matter of opinion.

Data Governance & Ownership

Practical governance that people follow: clear ownership, documented definitions, and lineage that survives contact with reality.

Advanced Analytics & Data Science

Analytics that drives real business decisions, combining AI with scientific method: hypothesis testing, experimentation, and causal analysis rather than dashboards nobody acts on.

Migration & Modernisation

Legacy system migrations and cloud warehouse adoption, delivered without losing trust in the numbers along the way.

BI & Analytics Transformation

Rebuilding analytics layers, migrating BI tools, and making self-serve analytics something teams genuinely use.

Data Foundations for AI

The quality, governance, and lineage groundwork that separates AI initiatives that ship from AI initiatives that stall.

Expertise

Deep specialisation across the data stack

Quality and governance are where we start. Engineering, analytics, and AI are where that foundation pays off.

Disciplines

  • Data Quality & Reliability
  • Data Governance
  • Data Engineering
  • Analytics Engineering
  • Advanced Analytics & Data Science
  • Data Modelling & Architecture
  • Master Data Management
  • Business Intelligence
  • Machine Learning
  • AI & Automation
  • Data Project Management

Technology Stack

  • Snowflake
  • Databricks
  • Amazon Redshift
  • PostgreSQL
  • MongoDB
  • Elasticsearch
  • dbt
  • Apache Airflow
  • Apache Spark
  • Apache Kafka
  • Python
  • PyTorch
  • Looker
  • Power BI
  • Tableau
  • Metabase
  • AWS
  • GCP
  • Azure
  • Docker
  • Terraform
  • GitHub

Engagement

A straight path from first call to delivery

Project-based or ongoing retainer, the start is the same.

  1. Talk to us

    A short call about the problem, the stack, and what good looks like for you.

  2. Assessment

    We look at the real systems and data, not just the org chart, and come back with what we found.

  3. Scope and shape

    A written proposal covering the outcome, the team, the timeline, and how we will know it worked.

  4. Embedded delivery

    We work inside your team, ship in increments, and review the service with you at regular intervals.

Data you can trust. Decisions you can defend.

Tell us what is breaking and we will tell you what it takes to fix it.