Software Engineer - Product Data

London, England, United Kingdom · Engineering

Description

About Lyst


Lyst is a Global Fashion Search Platform which connects millions of shoppers globally with the world’s leading fashion designers and stores, giving them a simpler, more engaging buying experience.


At Lyst we work in small, self-managing, autonomous teams with end-to-end responsibility for a specific customer-focused project. This structure brings together Lysters from all the disciplines that are needed to deliver the squad’s goals. We reward these squads for the Impact they make and value the innovative approaches that autonomy and alignment can bring. We hire great people and get out of their way.

Product Data

As a member of the Product Data Squad you will be part of our Supply Tribe whose mission is to acquire relevant and accurate assortment at the right size and right price, whilst developing and monetising partners positively and profitably.

Data lies at the heart of everything we do here at Lyst, from understanding our users better to making mission critical decisions - we currently have around 15 million products on the site and it’s up to the Product Data Squad to ingest and provide fresh and accurate product data to drive sales.

This cross-functional team of Product and Engineering ensure our Product Data is accurate and updated in a timely fashion, providing visibility of our ingestion pipeline to ensure we catch errors or provisioning issues as soon as possible.

You can view some information on our microservices at our developers blog here: https://making.lyst.com/2017/01/13/microservices/


The Role:

As a Software Engineer on Product Data you will be working on the data ingestion pipeline, responsible for gathering up-to-date product data across the catalogs of hundreds of retailers.


Requirements

Key responsibilities will include:

Currently all of the squads services are written in Python. The technologies you use will vary over time, but currently some key things we use include DynamoDB, Amazon SQS, Docker and Elasticsearch.

We have a well-defined career ladder within Engineering which is based on meritocratic principles so you can be sure of future advancement based on our four pillars: Technical Skill, Getting Stuff Done, Impact and Leadership.

Benefits

Benefits

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