Senior Data Engineer: ML Platform on Azure & Databricks

ASOS.com Ltd; Greater London; On-site; GBP 70,000 - 110,000; Full time

Benefits offered by this job

Employee discount (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

Job summary

ASOS.com Ltd in London is seeking a data platform engineer to help design and scale our Azure-based data platform supporting ML and analytics across forecasting, recommendations and pricing. You will build scalable data pipelines and evolving platform components to empower Data Scientists, ML Engineers and Analysts company-wide.

You will own reliability, observability and data quality, contributing to architectural decisions while collaborating with multiple data teams to deliver value at scale.

Qualifications

• Experience building data pipelines for ML/analytics.
• Strong background in distributed data processing and scalable architectures.
• Hands-on with Python/Scala for production-grade data engineering.
• Familiarity with Azure-based data platforms and cloud services.
• Experience implementing CI/CD, testing, observability and IaC practices.

Responsibilities

• Designing and building data platform capabilities that support data and machine learning workloads across ASOS.
• Developing high-performance data pipelines and processing frameworks using Python, Scala, Spark and Databricks.
• Owning and evolving platform components that help engineers and data scientists build, test, deploy and monitor data products.
• Improving platform reliability, observability, data quality and operational excellence.
• Creating reusable libraries, tooling and engineering patterns that enable teams to deliver data products more efficiently.

Skills

Python

Scala

Apache Spark

Databricks

CI/CD

Infrastructure as Code

Azure

Observability

Tools

Databricks

Job description

ASOS.com Ltd in London is seeking a data platform engineer to help design and scale our Azure-based data platform supporting ML and analytics across forecasting, recommendations and pricing. You will build scalable data pipelines and evolving platform components to empower Data Scientists, ML Engineers and Analysts company-wide.

You will own reliability, observability and data quality, contributing to architectural decisions while collaborating with multiple data teams to deliver value at scale.