Data engineer in customer and marketing ML

Описание:

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.

Задачи:

• Designing and building scalable data pipelines that support machine learning, analytics and data science initiatives.
• Developing high-performance data solutions using Python, Spark, Databricks and Azure technologies.
• Creating and maintaining datasets that power customer, marketing, pricing and forecasting use cases.
• Collaborating closely with Applied Scientists and Machine Learning Engineers to operationalise machine learning models.
• Designing data models and architectures that enable reliable, trusted and accessible data across the business.
• Improving data quality, observability, lineage and monitoring capabilities across critical data products.
• Supporting the delivery of media measurement, customer value, pricing and personalisation initiatives.
• Optimising data processing workloads for performance, scalability and cost efficiency.
• Driving best practices across software engineering, data engineering and platform development.
• Providing technical leadership through design reviews, mentoring and knowledge sharing.
• Working with stakeholders across Customer, Marketing and Commercial functions to turn business challenges into scalable data solutions.
• Contributing to the long‑term evolution of ASOS's machine learning and data capabilities.

Требования:

• Significant experience delivering data engineering solutions within cloud-based environments.
• Strong expertise in Python and experience developing production‑grade data pipelines and data products.
• Experience working with Databricks, Spark and distributed processing technologies.
• Experience designing and operating large-scale data platforms using Azure, AWS or GCP.
• Deep understanding of data modelling, data architecture and modern data engineering principles.
• Experience enabling data science, analytics or machine learning workloads through robust data infrastructure.
• Strong understanding of CI/CD, Infrastructure as Code, automated testing and observability practices.
• Experience working with large-scale customer, marketing, commercial or behavioural datasets.
• Proven ability to lead the design and delivery of complex technical solutions from concept through to production.
• Experience mentoring engineers and helping shape technical direction within a team.
• Strong stakeholder management and communication skills, with the ability to partner effectively with technical and non-technical audiences.
• A passion for solving challenging data problems and enabling teams to make better decisions through data.
• Будет плюсом: Experience supporting machine learning platforms, MLOps or model operationalisation; Experience with pricing, marketing analytics, recommendation systems or customer analytics; Experience working in eCommerce, retail or consumer-facing digital businesses

Условия:

• Employee discount (hello ASOS discount!)
• Employee sample sales 25 days paid annual leave + an extra celebration day for a special moment
• Discretionary bonus scheme
• Private medical care scheme
• Flexible benefits allowance - which you can choose to take as extra cash, or use towards other benefits
• Opportunity for personalised learning and in-the-moment experiences that enable you to thrive and excel in your role