Senior Data Engineer Data Science Platform

As a Senior Data Engineer youll focus on designing and implementing scalable reusable data pipelines platform components and data engineering standards that enable reliable secure and high-quality data solutions across the organisation.

Youll work closely with Data Scientists Analysts and Engineers embedded in product teams such as Forecasting Recommendations Marketing Customer and Pricinghelping them accelerate delivery and improve the quality and accessibility of data by providing a robust and standardised data platform experience.

What youll be doing

• Designing building and maintaining scalable data pipelines using Python and Scala leveraging Spark and PySpark within an Azure ecosystem (including Azure Data Factory and Databricks).
• Developing and maintaining reusable data engineering templates frameworks and tooling to support data teams across ASOS.
• Driving standardisation and best practices across data ingestion transformation and serving layers to ensure consistency across diverse product domains.
• Enabling teams to deliver high-quality production-ready datasets by providing guidance patterns and hands-on technical support.
• Implementing and promoting modern data engineering practices including CI/CD for data pipelines data quality validation testing observability and metadata management.
• Collaborating with stakeholders to understand data requirements and evolving the data platform to meet business needs.
• Partnering with Platform Engineering ML Engineering and Security teams to ensure scalable cost-efficient and secure data infrastructure on Azure.
• Optimising data workflows and pipelines for performance reliability and cost efficiency.

We believe being together in person helps us move faster connect more deeply and achieve more as a team. Thats why our approach to working together includes spending at least 2 days a week in the office. Its a rhythm that speeds up decision-making helps ASOSers learn from each other more quickly and builds the kind of culture where people can grow create and succeed.

Qualifications :

• Strong experience as a Data Engineer building scalable data platforms
• Deep expertise in Azure (ADF ADLS Databricks)
• Proficiency in Python and/or Scala (PySpark/Spark) for large-scale data processing
• Hands-on experience with Databricks and Delta Lake
• Solid understanding of the end-to-end data lifecycle (ingestion transformation serving)
• Experience with dbt for transformations and Terraform for infrastructure as code
• Familiarity with CI/CD pipelines and modern data engineering best practices
• Strong grounding in data modelling quality and testing
• Experience with monitoring observability and performance optimisation
• Focus on automation standardisation and improving developer experience

Additional Information :

BeneFITS

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

Remote Work :

No

Employment Type :

Full-time