For employers
London, UK
#2 MOST LOVED - MID-SIZE COMPANIESLondon, UK
#2 MOST LOVED - MID-SIZE COMPANIESWelwyn Garden City, UK
Luton, UK | Rijswijk, NL
#1 MOST FLEXIBLE COMPANYGuararema, BR | Warsaw, PL | Brazil, BR
#1 MOST FAMILY FRIENDLY COMPANYCompany Description
We’re ASOS, the online retailer for fashion lovers all around the world.
We exist to give our customers the confidence to be whoever they want to be, and that goes for our people too. At ASOS, you’re free to be your true self without judgement, and channel your creativity into a platform used by millions.
But how are we showing up? We’re proud members of Inclusive Companies, are Disability Confident Committed and have signed the Business in the Community Race at Work Charter, and we placed 8th in the Inclusive Top 50 Companies Employer list.
Everyone needs some help showing up as their best self. Let our Talent team know if you need any adjustments throughout the process in whatever way works best for you.
Job Description
Join the team responsible for building the data and machine learning products that power customer experiences, marketing effectiveness and commercial decision-making across ASOS.
As a Senior Data Engineer in our Customer & Marketing Machine Learning team, you will play a key role in developing the data foundations that enable machine learning models, pricing optimisation, customer analytics, media measurement and marketing decisioning at scale. The team brings together Data Engineers, Machine Learning Engineers and Applied Scientists to deliver end-to-end machine learning products that create measurable business impact.
This is an opportunity to work with large-scale customer, marketing and commercial datasets, building robust data solutions that help transform how ASOS understands, engages and serves millions of customers.
What you'll be doing
Qualifications
We're interested in people who can demonstrate many of the following capabilities. If your experience doesn't match every requirement exactly, we still encourage you to apply.
You are likely to have:
Additional Information
BeneFITS’
3 office days / week – may vary across teams (tech teams 3 days at home)
A little flex time
Company employees:
Gender diversity (m:f):
Hiring in countries
United Kingdom
Office Locations
2nd – Most loved - Medium companies
Flexa awards 2026
