Lyst is a global Fashion Tech company and premium shopping app, founded in London in 2010 and catering to over 200M shoppers per year. We offer our customers the largest assortment of premium & luxury fashion items & products in one place, via an assortment of 8.5M+ items from over 17,000 of the world’s leading brands. We are a scale-up business with a current team size of c. 160 people in London, combining an agile mentality with a proven business model and over a decade of experience. This provides a balance between foundations and structure, and autonomy and pace.
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 decisions and help fashion partners find better audiences as the category-leading destination for every fashion shopper. Lyst has raised over $160m from leading investors including Accel, Balderton, Molten Ventures, Fidelity International, and LVMH.
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.
We record nearly 100 million lines of data daily, and we are looking for an individual to support and maintain a data platform that is scalable, reliable and enables data driven decision making business-wide.
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.
Key responsibilities:
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.
Requirements
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
Things that matter to us:
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
Benefits
Flexible Working: Our flexible working approach offers a high degree of freedom and autonomy. Individuals are provided with the discretion to work remotely on a regular basis, with an expectation that a reasonable proportion of time is spent in the office to enhance in-person collaboration. If due to unique circumstances this doesn’t quite work, we are open to listening to what will. 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.