Data Engineer

We have an opening for a Data Engineer to join our Data and BI Team as part of the wider IT Team who cover Applications, Infrastructure, Service Desk, Cybersecurity and Data & BI across Yeo Valley.
We are looking for an experienced, pipeline-centric data engineer to join our team. The ideal candidate will have a rare curiosity and creativity. Beyond technical prowess, the data engineer will need soft skills for clearly communicating highly complex data trends to a variety of stakeholders.

Yeo Valley is at a time of exciting business growth. We are also making strides in the industry, taking on a huge sustainability journey, as we look to promote key environmental initiatives including soil health through organic farming. We are passionate about feeding the nation with real, healthy organic food that doesn't impact our planet.

This role is a great opportunity for anyone looking to work in a company that is passionate about the planet and expanding their experience in line with new technologies and digital approaches. You will be based as part of our IT team in our Acorn House location in Highbridge, our newly refurbished spacious offices (decorated with a local twist!), only half an hour from Bristol and just off of the M5 Junction 22.

The role will have opportunities for a mixture of on-site and working from home options, plus there is a great staff canteen!

Your responsibilities:

• Build data pipelines that clean, transform, and aggregate data from disparate sources.


• Create and improve dimension and fact tables to allow better reporting and deep dives.


• Test, deploy, maintain, and review regular updates for the data warehousing systems.


• Work closely with our analysts and BI developer to help build complex algorithms that provide unique insights into our data.


• Create and update documentation of processes using ClickLearn.


• Good understanding & adherence of best practice BI and reporting governance.


• Work with our implementation partners and support a range of activities centred around the building of data pipelines and associated configuration.


• Identify, design, and implement internal process improvements: automating manual processes, optimising data delivery, re-designing infrastructure for greater scalability, etc.


• Ensure the smooth and efficient handover of the platform support from our implementation partners to in-house support.


• Undertake 2nd line support duties for IT Data Warehouse related incidents & resolve issues within IT Service Level Agreements.