Great Minds Think Unalike: A Journey Into a Career in Data
Join our team at The Data Shed, AKA our ‘Shedders’, to hear about how you don’t have to be a software engineer to work in Data & Tech
Known to us as ‘Shedders’, the people that make up our team are a curious and supportive bunch. We provide technical and non-technical roles and strive to develop people in areas they’re interested in to help them succeed in their chosen careers.
Join us for a round of lightening talks discussing how a selection of shedders have taken their journeys to arrive at The Data Shed. The event will run for 1 hour with each speaker on for 5 mins. We’ll have some time for questions at the end too.
Whether you’re a student or a working professional looking for a new industry, this event will inspire you to explore the world of data and the key roles within the industry.
Who is The Data Shed?
Our solutions help our customers realise value beyond the boundaries of systems and applications. We collaborate with our customers to build secure, scalable and well-engineered systems that can be relied on. We love data and have made it our mission to build awesome systems that allow our customers to understand and get the most from their data.
As part of a close-working and collaborative team, we make data valuable and available to our clients, through consultancy services or product development.
This session is an introduction for an event hosted by The Data Shed later in the year that will explore roles and processes within the data industry further.
We wanted to show you the variety of roles available within a data company to highlight the many skills which are needed to create a successful workplace. There is no one path into tech which you’ll find out from our speakers.
Steph Varley – Employee Engagement Manager
Gordon Bowe – Support Analyst
Sallie Holt – Lead Business Analyst
Nic Steinbach – Senior Data Engineer
Paul Manship – Business Analyst
Will Johnson – Site Reliability Engineer
Lizzie Oliver – PA
Ryan Mottershed – Account Manager at The Data Refinery