Senior Data Engineer — ML Data Platform for Personalisation

ASOS; United Kingdom; In loco; GBP 90.000 - 130.000; Tempo pieno

Vantaggi offerti da questo lavoro

Employee discount (hello ASOS discount

Employee sample sales

25 days paid annual leave + extra day

Discretionary bonus scheme

Private medical care scheme

Flexible benefits allowance

Personalised learning opportunities

Descrizione del lavoro

ASOS is seeking a Senior Data Engineer to join the Customer & Marketing Machine Learning team. You will build data foundations powering ML models, pricing optimization, customer analytics and marketing decisioning at scale.

You will design scalable data pipelines, work with Python, Spark, Databricks and Azure, and collaborate with Applied Scientists to operationalise models that drive measurable business impact across ASOS’s global customer base.

Competenze

• 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.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.

Mansioni

• 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.

Conoscenze

Python

Data pipelines

Cloud platforms

Data modeling

Stakeholder mgmt

Mentoring

CI/CD

Observability

MLOps

Strumenti

Databricks

Spark

Azure

AWS

GCP

Descrizione del lavoro

ASOS is seeking a Senior Data Engineer to join the Customer & Marketing Machine Learning team. You will build data foundations powering ML models, pricing optimization, customer analytics and marketing decisioning at scale.

You will design scalable data pipelines, work with Python, Spark, Databricks and Azure, and collaborate with Applied Scientists to operationalise models that drive measurable business impact across ASOS’s global customer base.