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# Data Engineer

- **Company:** asos.com Ltd
- **Location:** UK
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** LTE (Telecommunication), Amazon Web Services, Data Analysis, Automation of Tests, Microsoft Azure, Big Data, Cloud Computing, Continuous Integration, Data Architecture, Information Engineering, Data Infrastructure, Data Systems, Distributed Computing Environment, Python (Programming Language), Machine Learning, Recommender Systems, Software Engineering, Data Processing, Apache Spark, Infrastructure Automation Frameworks, Data Management, Machine Learning Operations, Data Pipelines, Databricks
- **Published:** October 2, 2026
- **Apply:** https://startup.jobs/senior-data-engineer-asos-10255124

## About the Role

* 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.

## Description

* 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.