13 hours ago
London, United KingdomSenior
Responsibilities
- Design and build scalable data pipelines supporting machine learning, analytics, and data science initiatives.
- Develop production-grade data solutions using Python, Spark, Databricks, and Azure technologies.
- Create and maintain datasets for customer, marketing, pricing, forecasting, media measurement, and personalization use cases.
- Collaborate with Applied Scientists and Machine Learning Engineers to operationalize machine learning models.
- Design data models and architectures that provide reliable, trusted, and accessible data.
- Improve data quality, observability, lineage, monitoring, performance, scalability, and cost efficiency.
- Lead the design and delivery of complex technical solutions from concept through production.
- Mentor engineers, contribute to design reviews, share knowledge, and help shape technical direction.
- Partner with technical and non-technical stakeholders across Customer, Marketing, and Commercial functions.
- Contribute to the long-term evolution of ASOS’s machine learning and data capabilities.
Requirements
- Significant experience delivering data engineering solutions in cloud-based environments.
- Strong Python expertise and experience developing production-grade data pipelines and data products.
- Experience with Databricks, Spark, and distributed processing technologies.
- Experience designing and operating large-scale data platforms using Azure, AWS, or GCP.
- Deep understanding of data modeling, data architecture, and modern data engineering principles.
- Experience enabling data science, analytics, or machine learning workloads through robust data infrastructure.
- Understanding of CI/CD, Infrastructure as Code, automated testing, and observability practices.
- Experience working with large-scale customer, marketing, commercial, or behavioral datasets.
- Experience mentoring engineers and shaping technical direction within a team.
- Strong stakeholder management and communication skills across technical and non-technical audiences.
- Experience supporting machine learning platforms, MLOps, or model operationalization.
- Experience with pricing, marketing analytics, recommendation systems, or customer analytics.
- Experience in eCommerce, retail, or consumer-facing digital businesses.
Benefits
- Employee discount and employee sample sales.
- 25 days of paid annual leave plus an additional celebration day.
- Discretionary bonus scheme.
- Private medical care scheme.
- Flexible benefits allowance that can be taken as cash or used for other benefits.
- Personalized learning and in-the-moment development experiences.
Tech Stack
Categories
Data Engineering
About ASOS
ASOS is a global online fashion and beauty retailer for 20‑somethings, selling own‑brand and third‑party labels via its website and mobile apps. The company earns revenue from direct‑to‑consumer e‑commerce, shipping to customers worldwide and offering marketplace services for brands. Founded in 2000 and headquartered in London, ASOS is a public company listed on the London Stock Exchange and runs in‑house content and fulfillment operations at scale.