Senior Data Engineer

In this role you will build scalable data foundations for customer experiences, marketing effectiveness and commercial decision-making at ASOS. You’ll work within the Customer & Marketing Machine Learning team to support ML models, pricing optimisation, and analytics at scale. You will collaborate with scientists and engineers to operationalise models and deliver high-impact data products. This is a hands-on leadership position shaping data architecture and governance, enabling data-driven decisions across a global business.

• employee discount
• employee sample sales
• 25 days paid annual leave + 1 extra day
• discretionary bonus
• private medical care
• flexible benefits allowance

• Design and build scalable data pipelines for ML, analytics and data science
• Develop high-performance data solutions using Python, Spark, Databricks and Azure technologies
• Create and maintain datasets powering customer, marketing, pricing and forecasting use cases
• Collaborate with Applied Scientists and ML Engineers to operationalise models
• Design data models and architectures for reliable, trusted data
• Improve data quality, observability, lineage and monitoring across data products
• Support media measurement, customer value, pricing and personalization initiatives
• Optimize data processing workloads for performance, scalability and cost efficiency
• Drive best practices across software, data engineering and platform development
• Provide technical leadership through design reviews, mentoring, and knowledge sharing
• Work with stakeholders to turn business challenges into scalable data solutions
• Contribute to the long-term evolution of ASOS's ML and data capabilities

• Cloud-based data engineering experience
• Proficiency in Python and production-grade data pipelines
• Experience with Databricks, Spark and distributed processing
• Experience designing and operating large-scale data platforms on Azure, AWS or GCP
• Strong data modelling and modern data engineering principles
• Experience enabling data workloads for data science/ML
• Understanding of CI/CD, IaC, automated testing, observability
• Experience with large-scale customer/marketing/commercial datasets
• Proven ability to lead design and delivery of complex technical solutions
• Experience mentoring engineers and shaping technical direction
• Strong stakeholder management and cross-functional collaboration
• Passion for solving data problems to improve decision making
• Experience supporting ML platforms, MLOps or model operationalisation
• Experience with pricing, marketing analytics, recommendation systems or customer analytics
• Experience in eCommerce, retail or consumer-facing digital businesses

• stakeholder management
• communication
• mentoring
• Python
• Spark
• Databricks