{"id":1187343,"url":"https://alion.io/job/asos-senior-data-engineer-data-sciencemachine-learning-platform","title":"Senior Data Engineer - Data Science/Machine Learning Platform","company":{"id":39790,"name":"ASOS","domain":"asos.com","url":"https://alion.io/company/asos","size_band":"501-1000","is_staffing_agency":false,"is_intermediary":false,"listed_via":null,"ats_vendor":"SmartRecruiters","truth_index":{"grade":"B","score":80,"open_postings":3,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":15,"computed_at":"2026-09-24T05:45:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["London, United Kingdom"],"countries":["GB"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":98000,"max_usd":200000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":21},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"Scala","optional":false},{"name":"Spark","optional":false}],"status":"live","first_seen_at":"2026-09-24T10:14:41Z","employer_posted_date":"2026-09-24","last_verified_at":"2026-09-24T15:08:23Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"We’re ASOS, the online retailer for fashion lovers all around the world.\nWe 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.\nBut 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.\nEveryone 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.\n Join the team responsible for powering the data and machine learning capabilities behind millions of customer experiences at ASOS.\nAs part of the Data Science Platform group within Nishantha's organisation, you will help build and evolve the core data infrastructure that enables Data Scientists, ML Engineers and Analysts across Forecasting, Recommendations, Pricing, Marketing and Customer domains to develop, deploy and operate data-driven products at scale.\nThis is an opportunity to work on a modern Azure-based data platform, solving large-scale data engineering challenges focused on scalability, reliability, performance and developer experience. Your work will directly support the delivery of machine learning and analytics capabilities across ASOS.\nWhat you’ll be doing\nDesigning and building data platform capabilities that support data and machine learning workloads across ASOS.\nDeveloping high-performance data pipelines and processing frameworks using Python, Scala, Spark and Databricks.\nOwning and evolving platform components that help engineers and data scientists build, test, deploy and monitor data products.\nImproving platform reliability, observability, data quality and operational excellence.\nCreating reusable libraries, tooling and engineering patterns that enable teams to deliver data products more efficiently.\nPartnering with Data Scientists, ML Engineers and Product Engineering teams to solve data challenges and enable new machine learning use cases.\nContributing to architectural decisions and the evolution of data engineering standards across the organisation.\nOptimising distributed workloads for performance, scalability and cost efficiency across the Azure ecosystem.\nSupporting the long-term development of ASOS's data platform and engineering practices.\nWorking with multiple Data Science and Machine Learning teams across ASOS to deliver platform capabilities that create business value.\n We're interested in people who can demonstrate many of the following capabilities. If your experience does not match every requirement exactly, we still encourage you to apply.\nYou are likely to have:\nExperience building or operating large-scale data platforms or data-intensive applications in a cloud environment.\nExperience working with Databricks, Spark and distributed data processing technologies.\nExperience developing production-grade data engineering solutions using Python and/or Scala.\nExperience designing data architectures that balance scalability, reliability and cost efficiency.\nExperience implementing modern engineering practices, including CI/CD, automated testing, observability and Infrastructure as Code.\nDemonstrated ability to solve complex engineering problems and improve platform capabilities that help other teams work more effectively.\nExperience leading the design and delivery of complex data engineering solutions and contributing to technical direction and engineering best practices.\nExperience mentoring engineers through technical guidance, code reviews and knowledge sharing.\nAbility to collaborate effectively across teams and stakeholders, balancing business priorities with technical excellence to deliver scalable, reliable and maintainable data solutions.\n BeneFITS’\nEmployee discount (hello ASOS discount!) \nEmployee sample sales \n25 days paid annual leave + an extra celebration day for a special moment \nDiscretionary bonus scheme \nPrivate medical care scheme \nFlexible benefits allowance - which you can choose to take as extra cash, or use towards other benefits \nOpportunity for personalised learning and in-the-moment experiences that enable you to thrive and excel in your role","description_format":"text","description_chars":4378,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[{"language":"English","level":"All levels","optional":false}]},"benefits":["Annual leave"],"hiring_locations":[{"name":"United Kingdom","iso":"GB","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Commerce"],"lifecycle":[{"event":"open","at":"2026-09-24T15:08:23Z"}],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":0,"expected_fill_days":15,"reasons":["conf:6","win:early"],"computed_at":"2026-09-24T21:27:02Z"},"pay":null,"html_url":"https://alion.io/job/asos-senior-data-engineer-data-sciencemachine-learning-platform","json_url":"https://alion.io/job/asos-senior-data-engineer-data-sciencemachine-learning-platform.json","meta":{"generated_at":"2026-09-24T21:27:02Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers"}}