Lead Data Platform Engineer, LYST
Python & AWS
2-4 days a week in office
Global fashion search & discovery platform
Job no longer available
Global fashion search & discovery platform
201-500 employees
Job no longer available
2-4 days a week in office
201-500 employees
Company mission
To create the category-leading platform that the world's fashion lovers use to decide what to buy.
Role
Who you are
- Experience with Python, AWS data tooling, and software fundamentals (SQL, Git)
- Experience with data processing & testing in the cloud, with a large amount of data
- Excellent Python knowledge and experience and up to date on best Python practices, as well as experience writing efficient SQL
- Experience working on full data engineering projects, from design to implementation
- Experience iterating & refactoring existing code as well as writing new code
- Communication: You are able to communicate clearly and be humble when sharing ideas and solutions. You can communicate with both technical and non-technical stakeholders
- You strive to write clear, well documented, tested code, and look to improve existing code and ways of working. When you find an opportunity, you’re are excited to go for it
- (Bonus) Experience with data contract implementation
- You are curious at heart and like to take ownership of something to make it better
- You are detail oriented
- You are a team player and communicate with your peers and other stakeholders in the company on a day to day basis
- Being confronted with a difficult or strange problem makes you feel like a detective that wants to crack the mystery
- You have a sense of ownership over products, features and services the team looks after
What the job involves
- We’re looking for a senior Data Engineer to join our central Analytics Engineering team, and help drive the Data Engineering discipline within the Data Platform chapter
- This is a great opportunity for the right individual who wants to have impact from day one and make their mark as an expert in a high performing, collaborative team
- As a data engineer within the central data platform function, you will maintain the data ingestion infrastructure in AWS for data owners across Lyst to leverage and to ensure the data created is of high quality
- You will identify, design and implement improvements to these processes, including data contracts and testing
- This role will work closely with our engineers, analytics engineers and analysts to help us successfully deliver our data platform and data strategy
- Maintain our data ingestion infrastructure, and liaise with Engineering data owners on the infrastructure and standards
- Identify, design and implement process improvements for data ingestion and testing
- Create documentation and guidelines on building reliable, scalable data pipelines
- Own our data contract capabilities, and develop guidelines for data owners
- Champion data quality across the organisation
- Support data owners on data ingestion, for new and existing data pipelines
- Work closely with Analytics Engineering to bridge the gap between data creation and transformation
- Support in delivering our data strategy
- We work mainly in Python and SQL, running on a range of AWS technologies such as S3, EKS, SQS, Firehose, Kinesis & Lambda and non-AWS tools such as Snowflake, dbt, Looker, CircleCI, Docker, Terraform & GitHub
Salary benchmarks
Our take
Lyst is a global fashion tech company and premium shopping app, serving its users with luxury fashion items and products. It lists over 8.5 million items from over 17,000 of the world’s leading brands.
The company boasts a decade of experience, and stands out in the fashion space for its centring of data and technology. By combining an agile mentality with a proven business model, Lyst appears to have struck the right balance between foundations and structure, autonomy and pace.
With over 160 million yearly customers, the scope of Lyst is clear. And there is no indication it won't continue down its path of success for a long time to come.
Freddie
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 7 rounds)
May 2021
$85m
LATE VC
Jun 2020
$5m
LATE VC
Total funding: $200.6m
Company benefits
- Learning and development budget
- Discounted eye tests and glasses
- Cycle-to-work scheme
- Childcare vouchers
- Transport season ticket loans
- Private Healthcare by Vitality
- Team meet-ups, social events, sports and exercise events
- 29 days holiday (excl. bank holidays)
- Work from home opportunities
- Health insurance
Company HQ
City of London, London, UK
Leadership
Emma McFerran
(CEO & Board Member)Also Board Member at The Joy Club. Was a Lawyer at Atypical Law Firm, Consultant at Aon Hewitt and Associate at Latham & Watkins.
Chris Morton
(Co-Founder & Board Member)Royal Society Entrepreneur in Residence at the University of Oxford. Also Fellow (Innovation) at the Royal College of Art and Advisor at Clarity AI and Granular Energy.
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