Senior Data Platform Engineer: ML & Analytics at Scale

ASOS; United Kingdom; On-site; GBP 90,000 - 130,000; Full time

Benefits offered by this job

Employee discount (ASOS)

Employee sample sales

25 days paid annual leave + extra day

Discretionary bonus scheme

Private medical care

Flexible benefits allowance

Personalised learning opportunities

Job summary

ASOS is seeking a Senior Data Platform Engineer to join the Data Science Platform group. You will design and build data platform capabilities to support data and ML workloads across ASOS, using Python, Scala, Spark and Databricks on an Azure-based data platform.

You will own and evolve platform components, improve reliability and observability, and create reusable libraries and tooling. You will collaborate with Data Scientists, ML Engineers and Product Engineering teams to solve data challenges

Qualifications

• Experience building or operating large-scale data platforms in the cloud.
• Experience with Databricks, Spark and distributed data processing.
• Production-grade data engineering using Python and/or Scala.
• Design data architectures balancing scalability, reliability and cost.
• Experience CI/CD, automated testing, observability and IaC.
• Proven ability to solve complex engineering problems and improve platform capabilities.
• Experience leading design and delivery of data engineering solutions and contributing to technical direction.
• Experience mentoring engineers through technical guidance and reviews.
• Ability to collaborate across teams balancing business priorities with technical excellence.

Responsibilities

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

Skills

Data platform experience

Databricks / Spark

Python / Scala

Cloud architectures

CI/CD / IaC

Observability

Engineering leadership

Mentoring

Cross-team collaboration

Tools

Databricks

Spark

Python

Scala

Job description

ASOS is seeking a Senior Data Platform Engineer to join the Data Science Platform group. You will design and build data platform capabilities to support data and ML workloads across ASOS, using Python, Scala, Spark and Databricks on an Azure-based data platform.

You will own and evolve platform components, improve reliability and observability, and create reusable libraries and tooling. You will collaborate with Data Scientists, ML Engineers and Product Engineering teams to solve data challenges