Senior Data Engineer: ML Platform & Data Infrastructure

ASOS; Greater London; On-site; GBP 90,000 - 140,000; Full time

Benefits offered by this job

Employee discount

Sample sales

25 days annual leave + extra day

Discretionary bonus

Private medical care

Flexible benefits

Learning & development

Job summary

ASOS is seeking a data platform engineer to power data and ML capabilities behind customer experiences. You will help build and evolve the Azure-based data infrastructure used by Data Scientists, ML Engineers and Analysts across forecasting, recommendations, pricing, marketing and customer domains.

You will design scalable data pipelines, own platform components, and collaborate with cross-functional teams to enable new machine learning use cases and improve reliability and cost efficiency.

Qualifications

• Experience building or operating large-scale data platforms or data-intensive applications in a cloud environment.
• Experience working with Databricks, Spark and distributed data processing technologies.
• Production-grade data engineering using Python and/or Scala.
• Design data architectures balancing scalability, reliability and cost efficiency.
• Modern engineering practices: CI/CD, automated testing, observability and Infrastructure as Code.
• Ability to solve complex engineering problems and improve platform capabilities.
• Lead design and delivery of data engineering solutions and contribute to engineering best practices.
• Mentor engineers through technical guidance and code reviews.

Responsibilities

• Design data platform capabilities supporting data and machine learning workloads across ASOS.
• Develop high-performance data pipelines using Python, Scala, Spark and Databricks.
• Own and evolve platform components enabling build, test, deploy and monitor data products.
• Improve platform reliability, observability, data quality and operational excellence.
• Create reusable libraries, tooling and engineering patterns for teams.
• Partner with Data Scientists, ML Engineers and Product Engineering teams to enable new ML use cases.
• Contribute to architectural decisions and evolution of data engineering standards.
• Optimize distributed workloads for performance, scalability, and cost within Azure.
• Support long-term development of ASOS's data platform and engineering practices.
• Collaborate across multiple Data Science and ML teams to deliver platform capabilities creating business value.

Skills

Databricks

Apache Spark

Python

Scala

CI/CD

Observability

IaC

Mentoring

Data platforms

Tools

Azure

Spark

Job description

ASOS is seeking a data platform engineer to power data and ML capabilities behind customer experiences. You will help build and evolve the Azure-based data infrastructure used by Data Scientists, ML Engineers and Analysts across forecasting, recommendations, pricing, marketing and customer domains.

You will design scalable data pipelines, own platform components, and collaborate with cross-functional teams to enable new machine learning use cases and improve reliability and cost efficiency.