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Who we are
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Who are [amber]?

We are a client obsessed specialist consultancy, who do not deviate from our core specialisms: Data Engineering, Data Science and Cloud Infrastructure.

 

At our core amber is a partner driven organisation focused on customer success and fostering an excellent internal culture for our team. Enabling us to implement rapid agile digital transformations across a variety of industries, which is further augmented by our accelerators and automation toolsets. We invest heavily into R&D & Thought-Leadership to provide innovative and cutting edge solutions to our clients. 

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Enabling digital transformation through Agile Data Engineering.

Principles

We believe that our people are what makes us the company we are. This is why we have chosen to adopt a partnership model, ensuring that everyone within amber has an opportunity to share in our success. With only 4 levels in our hierarchy between consultant and partner, everyone is empowered to have a positive influence in the way we do things and actively contribute to our technical innnovation. 

Partnership

Automation

From the outset amber have utilised automation wherever possible internally and on the behalf of our clients. Our automation is enabling our clients to derive value faster. These automations include, pre-packed cloud environments, standardised data models and target operating models. In order to ensure we don't miss an opportunity for automation and drive innovation, amber often have scheduled offsite days and hackathon's to get our team out of delivery mode and focus on how we can improve the way we deliver solutions to our customers.

Agile

Our team is committed to the agile principles and are passionate advocates for ensuring robust and supportable solutions are created. By employing the best practice approaches to the delivery life cycle, such as continuous integration and delivery, scoping via MVP and agile ceremonies we help customers change and improve their products more frequently without fear of fallout.

Competencies

Data

Engineering

Image by Kiyun Lee

Cloud

Platforms

Image by Charles Deluvio

Data

Science

Analytics

Technology
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Technology 

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Contact Us
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