Data Engineering

Before data analysis and dashboards can deliver value, your data needs to be organised, integrated, and made reliable. That’s where our Data Engineers come in.

Why data engineering matters?

Before insights can be delivered, data must be gathered, validated, and organised. Our Data Engineers specialise in the technical execution needed to handle large, diverse datasets — ensuring the data is available, trustworthy, and ready for analysis.

This is the foundation that enables analysts and data scientists to do their best work. Without it, insights can be delayed, incomplete, or even misleading.

What we do

We design and implement data pipelines tailored to your goals, integrating information across your systems.


We help you choose the right platforms and technologies, and ensure everything runs efficiently, securely, and cost-effectively.

Whether you need advice, hands-on implementation, or both — we’re here to help.

Technology stack

Which are the tools we work with?


Cloud Platforms: Amazon AWS, Microsoft Azure, Google Cloud Platform

Data Ingestion: AWS Glue, Dataddo, Stitch, Matillion, Fivetran

Data Processing: SQL, Python, Spark, R

Data Storage: AWS Redshift, GCP BigQuery, SQL Server, PostgreSQL, DynamoDB, Snowflake

We’re here to answer all your questions

Questions we often hear about Data Engineering.

Data engineering is the process of collecting, transforming, and organising data so it’s ready for analysis. It involves setting up the systems and pipelines that ensure data is reliable, secure, and accessible to analysts, data scientists, and decision-makers.

Dashboards are only as good as the data behind them. If your data is inconsistent, incomplete, or scattered across systems, reports may be misleading. Data engineering ensures your reports are based on clean, well-structured, and up-to-date information.

Absolutely. That’s a common starting point. We specialise in integrating data from multiple sources, whether it’s internal systems, APIs, or cloud tools, and bringing them into one central, well-structured environment.

Not necessarily. We start with your goals, not with tools. If your current setup works, we optimise it. If a new platform is needed, we’ll recommend one based on performance, cost, and fit.

That’s no problem. We can act as an extension of your team with our Data team as a service, helping you set up the pipelines, monitor them, and train if needed. 

Not sure where to start? Let’s figure it out together!

We’ll help you assess what’s working, what’s missing, and how to organise your data, no strings attached.