*Who are we?*
Mallzee is the UK’s leading multi-retailer fashion shopping app, and the original ‘Tinder for Fashion’. The app helps people find, compare, save and buy clothes quickly and easily from hundreds of high street retailers. This approach now sees tens of millions of products rated every month.
Based on this success in early 2017 the company launched a series of B2B insight products; Product Intelligence - helps retailers better understand the real-time performance of their existing product ranges to make informed merchandising, marketing and stocking decisions. Product Future enables retailers to predict future best and worst sellers prior to ordering stock, helping them significantly improve profitability.
Founded in Edinburgh in 2013 Mallzee has raised 4 rounds of investment and grown to a team of 23 based at our city centre offices. We’ve picked up a range of awards from leading tech publications, been featured in press articles around the world and seen Business Insider select us as the 3rd hottest startup in Scotland.
*What’s our vision?*
Our vision is two-fold; our award winning personalised shopping app is already recognised as market leading and we will continue to iterate on this to constantly deliver the best user experience. We’re now working with industry leading retailers to help them improve their marketing, merchandising and buying functions using the tens of millions of product ratings generated every month.
In the coming years, Mallzee will change the apparel industry by moving brands and retailers past gut feel decisions by bringing consumer preferences into the heart of their decision-making processes.
We aim to do this with a forward thinking, fun loving and collaborative environment where all voices are heard. Across the company, our focus is on building a global tech business that everyone is proud to work for and that changes an industry that desperately needs help.
*The Role – Data Engineer*
Mallzee is dedicated to making the best user experience a reality for consumers whilst at the same time harnessing the unique data generated to revolutionise the retail industry.
As a Data Engineer, you will be working with multiple types of data generated within the organisation, from user generated event data, to marketing campaign information, to sales data. Your mission will be to constantly improve data quality, availability and usability across the organisation. On a day to day basis you will be working with our data team to collect, organise, and document our incoming and generated data. It will be your responsibility to develop quality, reliable solutions for collecting data and working to implement solutions to analyse and productionise developments generated within the team, both internally and for our award winning retail data products.
In this role, you will be working to revolutionise how retail operates by understanding the effects of data on user behavior and the retail industry as a whole and applying this learning to a range of products for our partners. Your efforts will have a direct effect on a huge industry.
*What are we looking for?*
* Working knowledge of NodeJS
* Experience with SQL and NoSQL technologies
* Understanding of data streaming technologies
* Proficient with Git and ideally GitHub
* A love for metrics and efficiency
* AWS Knowledge
* An understanding of AWS technologies, EMR, Redshift, DynamoDB, Kinesis, etc
* Ability to quickly grasp other languages
* Working in a continuous deployment fashion
* Interest in Machine Learning techniques
* Team player. Cooperation is key as we are a very close team
* Fast learner, not afraid of not knowing things and be comfortable with saying so
* Eye for quality and attention to detail
* Organised. Documenting work with the whole team
*What do we provide?*
* Competitive salary
* Team breakfast every Monday
* Yearly team retreat
* Training budget
* Central and well kitted out office
* Fizz Fridays
* Continual development and exposure to multiple parts of a fast growing tech company
Please send your CV including a brief introduction to yourself, a link to relevant projects you have worked on and a bit about why you want to work with us :)