Data engineering, so the numbers don't quietly go wrong.

We build the pipelines that pull data from your databases, apps and files into one trusted place, tested like any other code, so your dashboards, reports and models all work from the same numbers.

An engineer carrying a laptop down a long data centre aisle between rows of server racks

What we build

Everything that gets data from where it is created to where it is used, correctly and on time.

What goes into every data platform we build

Behind this work

Our managing director, Johnson Nuviadenu, is an AWS Certified Data Engineer.

Technology we use

We'll suggest the simplest set of tools that does the job, and that your own team can live with after we're done.

Languages

  • Python
  • SQL

Storage

  • S3
  • Redshift
  • Snowflake

Cloud

  • AWS
  • Azure
  • Google Cloud

What you get

Everything your team needs to run it, change it and understand it.

How a project runs

Nothing starts without your sign-off, and you'll see working software every two weeks.

  1. 1

    A free call

    Thirty minutes to talk through what you need. If we're not the right fit, we'll say so.

  2. 2

    Discovery

    A few short workshops to agree goals, users, constraints and what success looks like.

  3. 3

    Design

    Screens you can click through and test with real users before we write any code.

  4. 4

    Build

    Two-week sprints. Each one ends with a demo of working software you can try and comment on.

  5. 5

    Launch

    Automated tests, security checks and a go-live plan with a way back if something goes wrong.

  6. 6

    Looking after it

    Your system moves onto a Managed Services retainer, supported by the people who built it.

What happens after launch?

You can keep us on to look after it. The people who wrote the code are the ones who keep it running, so nothing gets lost in a handover.

Common questions

Our data is in spreadsheets and old systems. Where do we start?
With the question you most need answered. We connect the sources that matter to it first, check their quality, and show you what is really there.
Do we need a data warehouse?
Not always. For a few sources and reports, a simpler setup can do the job. We recommend the smallest thing that works and can grow with you.
How do you charge?
Build work is billed by the hour against an estimate we agree before we start, and you see hours and progress every sprint. Looking after a live system is a monthly or yearly retainer.
Where do we start?
With a free 30-minute call. If we're not the right fit, we'll tell you. If we are, we agree goals and an estimate before any work begins.

Tell us what you're working on

The first call is free and there's no sales pitch. We reply within 24 hours.