Join to apply for the Data Platform Engineer role at Lyst

Join to apply for the Data Platform Engineer role at Lyst

Lyst is a global fashion shopping platform founded in London in 2010 and catering to over 160M shoppers per year. We offer our customers the largest assortment of premium & luxury fashion products in one place, curating pieces from 27,000 of the world's leading brands and stores. In 2025, Lyst joined Zozo, operators of Zozotown, the leading fashion e-commerce platform in Japan. This partnership marks a bold new era for Lyst, as we accelerate our vision and work together to transform the future of fashion shopping through AI and technology.

At Lyst, we obsess over the customer, providing a search & discovery experience which offers inspiration, fulfilment, and personalisation. We believe that fashion is amazing but shopping for fashion often isn't, and use our technology, data and creativity to bring more joy, greater choice and fewer fails. Our mission is to help fashion shoppers make better choices and help fashion partners find better audiences as the category-leading destination for every fashion shopper.

The Role

Lyst is looking for a Software Engineer to join their Data Platform team. The engineer will help build upon and improve our customer facing analytics ingestion pipelines that power our business intelligence and decision making.

You will work in a fast-paced environment with a high level of autonomy. While your work will be peer reviewed and subject to approvals, it is important that you are able to liaise with both team members and wider partners in the organisation to gather requirements and lead on appropriate solutions.

You will be maintaining and improving a system that handles a high volume of traffic so experience with cloud and data warehouse infrastructure will help you in this role (we use AWS, Cloudflare and snowflake). Familiarity with infrastructure as code will also help when updating our cloud architecture (we use terraform).

We place a large focus on data quality so you'll be expected to review the small picture (data contracts via versioned schemas) and the wider picture (data integrity and data completeness across tables and databases). We also value the ability for team members to think of ways we can improve data quality and drive those initiatives across the business.

Within the first three months, you will be able to:

• Contribute to every part of our system, ranging from code and tests to infrastructure changes
• Ensure the stability of our system by implementing and improving monitoring and observability tools
• Write resilient code that is well tested
• Be curious — not just the code, but the architecture of our platforms and everything that enables the business to thrive
• Gain expertise over our tools and services: Python, Docker, Github Actions, Snowflake, AWS
• Participate in all team ceremonies and have direct input in the team's ways of working

This is a high-trust, supportive, and collaborative environment where you will have plenty of opportunities to make an impact on your team and the wider company. We value attitude as much as we do direct experience—we want to hire people to grow into the role and beyond.

About the team:

• Python is our bread and butter
• The wider data platform team uses dbt, Snowflake, and Looker to model, transform, and expose data for analytics and reporting across the business
• We use Docker and Kubernetes to manage our production services
• We use Github Actions for continuous integration and deployment. Lyst deploys new changes to production more than 500 times a month
• The Data Platform team is one of Lyst's fundamental teams, and the data we manage is critical for the business. We have a strong relationship across the rest of the organisation, and almost all of Lyst engineering engages with us on a regular basis
• We care about robustness and integrity in our pipelines and use observability tools to monitor

Lyst is a global fashion shopping platform founded in London in 2010 and catering to over 160M shoppers per year. We offer our customers the largest assortment of premium & luxury fashion products in one place, curating pieces from 27,000 of the world's leading brands and stores. In 2025, Lyst joined Zozo, operators of Zozotown, the leading fashion e-commerce platform in Japan. This partnership marks a bold new era for Lyst, as we accelerate our vision and work together to transform the future of fashion shopping through AI and technology.

At Lyst, we obsess over the customer, providing a search & discovery experience which offers inspiration, fulfilment, and personalisation. We believe that fashion is amazing but shopping for fashion often isn't, and use our technology, data and creativity to bring more joy, greater choice and fewer fails. Our mission is to help fashion shoppers make better choices and help fashion partners find better audiences as the category-leading destination for every fashion shopper.

The Role

Lyst is looking for a Software Engineer to join their Data Platform team. The engineer will help build upon and improve our customer facing analytics ingestion pipelines that power our business intelligence and decision making.

You will work in a fast-paced environment with a high level of autonomy. While your work will be peer reviewed and subject to approvals, it is important that you are able to liaise with both team members and wider partners in the organisation to gather requirements and lead on appropriate solutions.

You will be maintaining and improving a system that handles a high volume of traffic so experience with cloud and data warehouse infrastructure will help you in this role (we use AWS, Cloudflare and snowflake). Familiarity with infrastructure as code will also help when updating our cloud architecture (we use terraform).

We place a large focus on data quality so you'll be expected to review the small picture (data contracts via versioned schemas) and the wider picture (data integrity and data completeness across tables and databases). We also value the ability for team members to think of ways we can improve data quality and drive those initiatives across the business.

Within the first three months, you will be able to:

• Contribute to every part of our system, ranging from code and tests to infrastructure changes
• Ensure the stability of our system by implementing and improving monitoring and observability tools
• Write resilient code that is well tested
• Be curious — not just the code, but the architecture of our platforms and everything that enables the business to thrive
• Gain expertise over our tools and services: Python, Docker, Github Actions, Snowflake, AWS
• Participate in all team ceremonies and have direct input in the team's ways of working

This is a high-trust, supportive, and collaborative environment where you will have plenty of opportunities to make an impact on your team and the wider company. We value attitude as much as we do direct experience—we want to hire people to grow into the role and beyond.

About the team:

• Python is our bread and butter
• The wider data platform team uses dbt, Snowflake, and Looker to model, transform, and expose data for analytics and reporting across the business
• We use Docker and Kubernetes to manage our production services
• We use Github Actions for continuous integration and deployment. Lyst deploys new changes to production more than 500 times a month
• The Data Platform team is one of Lyst's fundamental teams, and the data we manage is critical for the business. We have a strong relationship across the rest of the organisation, and almost all of Lyst engineering engages with us on a regular basis
• We care about robustness and integrity in our pipelines and use observability tools to monitor

• Experience in developing robust and secure software solutions and data pipelines.
• Effective communication skills, comfortable working with technical and non-technical individuals and teams
• Proficiency in developing with Python
• Experience with delivering software solutions and data pipelines within public cloud technologies and architecture (perferably AWS exp)
• Experience with containers (Docker) and container orchastration
• Experience with Infrastructure as Code (we use Terraform)
• Experience utilising monitoring, observability and logging tools
• Experience with git, gitOps, github actions
• Exposure or experience with cloud data warehouse/data platforms (we useSnowflake).

Things that matter to us:

• You have a passion for utilising your software engineering skills in data engineering
• You enjoy building sustainable, robust software that scales and automate and drive efficiencies at every chance
• You are excited to learn and equally share your knowledge with peers
• You enjoy problem solving as an individual but also solving problems within a team or with wider colaboration across teams
• You take pride in code ownership and maintaining responsibilities to a high level with good documentation and test coverage
• You understand the importance of good Data management practices and broader Data Governance principles and their impact on things like Data Quality.
• You effectively support and maintain production data pipelines, ensuring monitoring and observability is in place and respond to sustain service levels and data consistency within Data platforms

• Our Ways of Working: We all come into the office on Tuesdays and Thursdays, with the option to work remotely or come into the office on the other days. We believe that in person collaboration and community spirit is super important, which is why we spend some of our time in the office and some of our time at home
• Time Off: In addition to the 8 statutory bank holidays, you will receive 29 holidays per year. Lyst's holiday year runs from 1 April to 31 March
• Competitive Family Leave Package: This includes Enhanced Family Leave for those eligible, paid Time off for Dependents and Support for Fertility Treatment & Loss
• Clothing Benefit: We want you to enjoy using the Lyst app and site as much as our customers, so we provide you with a clothing allowance to use on Lyst every year. This starts at £250 when you join and increases up to £1,000 with your length of service
• Private Healthcare: Our healthcare provider is Vitality. Your health is important to us which is why we offer all employees a comprehensive healthcare scheme from the day you start
• Training Allowance: We're big on continuous learning and growth, so all employees are currently entitled to an annual training allowance of £1,000. This can be used to attend conferences, industry events, training courses and to purchase resources
• Pension Scheme: Our pension provider is The People's Pension. We offer a minimum employee contribution of 5% and 3% employer contribution
• Eye Tests and Vouchers: Employees can make a saving on their eye test and glasses through our chosen provider. You'll receive a free eye test every year and a discount towards glasses
• Cycle-to-Work Scheme: Lyst will purchase a bicycle from your chosen retailer, you will then receive a voucher to pick up your bicycle from them
• Transport Season Ticket Loan: Employees can apply for an interest free season ticket loan to support your travel to work
• Social Events: Frequent company wide social events including Christmas & summer parties, sports days, themed drinks, quizzes, cook alongs, as well as smaller team socials. We also have plenty of interest based groups such as football, running club, book club, culinary and more

We want to build a world where fashion works for everyone, and we want teams that are just as inclusive. Diversity and inclusion is an integral part of our culture at Lyst. We recognise and celebrate the value and impact diversity brings to our company and are committed to ensuring this is a consistent focus, for which we are held to account. We are committed to treating all applicants fairly and equally, and encourage candidates from all backgrounds to apply for this role. We are happy to talk about flexible working arrangements.

Don't meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. At Lyst we are dedicated to building a diverse, inclusive and authentic workplace, so if you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  IT Services and IT Consulting

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