Platform Engineer – Data Science & AI Platform

ASOS.com; Greater London; On-site; GBP 70,000 - 90,000; Full time

Benefits offered by this job

Employee discount

Employee sample sales

25 days paid annual leave + extra day

Private medical care

Fixed annual payment

Personalised learning opportunities

Job summary

ASOS.com is hiring a Data Platform Engineer to standardise data engineering workloads and ML workflows across teams. You will implement platform-level IaC, CI/CD, and environment management to ensure reproducible workloads in dev/test/prod.

You will build components with Python and Spark, contribute to data and ML lifecycle tools (Unity Catalog), and support the AgentOps capabilities with governance and observability. Collaboration with Data Engineers, Scientists, and ML Engineers is essential.

Qualifications

• Experience in Data Platforms, Data Engineering, Cloud Engineering, or ML Platform Engineering roles, with exposure to Azure.
• Strong hands-on experience with Python and Apache Spark.
• Experience with Azure data platform technologies such as Azure Databricks, ADLS Gen2, and Unity Catalog.
• Working knowledge of security and access management (RBAC, ACLs, identity concepts such as Entra ID).
• Familiarity with Infrastructure as Code using Terraform.
• Experience with CI/CD (Azure DevOps, GitHub Actions).
• Basic understanding of Azure networking (vNets, NSGs, Private Endpoints).
• Exposure to Docker/Kubernetes in cloud environments is beneficial.
• Awareness of AgentOps patterns (LLM gateways, prompt/version control, evaluation, observability) is a plus.
• Good communication and collaboration skills, with a strong focus on learning and continuous improvement.

Responsibilities

• Contribute to building and evolving the platform that standardises data engineering workloads and ML workflows.
• Implement platform-level IaC, CI/CD, and environment management for reproducible workloads.
• Build and maintain components using Python and Spark for data processing and platform services.
• Contribute to data and ML lifecycle management tools and governance (Unity Catalog).
• Support centralised AgentOps capabilities (LLM gateway, tool integration, version management).
• Contribute to agent-specific lifecycle and safety controls with guidance from senior engineers.
• Enhance observability across Data/MLOps and Agent Ops (quality, reliability, traces, cost).
• Solve platform reliability, performance, and security challenges across data, ML, and agent workloads.
• Apply RBAC/ACLs, secure configuration, and identity management for secure-by-default design.
• Collaborate with Data Engineers, Data Scientists, and ML Engineers to enable adoption of platform capabilities.
• Contribute to documentation, standards, and best practices across the platform.

Skills

Python

Spark

Azure

CI/CD

Security basics

Docker/Kubernetes

Entra ID

Tools

Azure Databricks

Unity Catalog

Terraform

Job description

We're ASOS, the online retailer for fashion lovers all around the world.

We exist to give our customers the confidence to be whoever they want to be, and that goes for our people too. At ASOS, you're free to be your true self without judgement, and channel your creativity into a platform used by millions.

Everyone needs some help showing up as their best self. We're Disability Confident Committed - let our Talent team know if you need any reasonable adjustments throughout the recruitment process.

Job Description

• Contribute to building and evolving the platform (infrastructure + reusable abstractions) that standardises data engineering workloads (batch/streaming pipelines, data processing) and traditional ML workflows (feature engineering, training, batch/real-time serving) across teams
• Implement platform-level IaC, CI/CD, and environment management to support consistent, reproducible workloads across dev/test/prod
• Build and maintain components using Python and Spark for data processing, shared datasets, and platform services
• Contribute to shared services for data and ML lifecycle management (data pipelines, experiment tracking, versioning, lineage, permissions), aligned to enterprise governance (e.g. Unity Catalog)
• Support the implementation and operation of a centralised AgentOps capability (LLM gateway, tool integration, prompt and version management)
• Contribute to agent-specific lifecycle and safety controls (evaluation pipelines, guardrails, access control), with guidance from senior engineers
• Enhance observability across both domains:
• Data & ML Ops: data quality, pipeline reliability, model performance
• Agent Ops: traces, responses, evaluations, cost and behaviour monitoring
• Contribute to problem solving across platform reliability, performance, and security for data, ML, and agent workloads
• Apply security and compliance best practices (RBAC/ACLs, secure configuration, identity and access management), supporting a secure-by-default platform design
• Collaborate with Data Engineers, Data Scientists, and ML Engineers to enable adoption of platform capabilities across ASOS Tech
• Contribute to documentation, standards, and best practices across the platform

Qualifications

• Experience in Data Platforms, Data Engineering, Cloud Engineering, or ML Platform Engineering roles, with exposure to Azure
• Strong hands-on experience with Python and Apache Spark
• Experience with Azure data platform technologies such as Azure Databricks, ADLS Gen2, and Unity Catalog
• Working knowledge of security and access management (RBAC, ACLs, identity concepts such as Entra ID)
• Familiarity with Infrastructure as Code using Terraform
• Experience with CI/CD (Azure DevOps, GitHub Actions)
• Basic understanding of Azure networking (vNets, NSGs, Private Endpoints)
• Exposure to Docker/Kubernetes in cloud environments is beneficial
• Awareness of AgentOps patterns (LLM gateways, prompt/version control, evaluation, observability) is a plus
• Good communication and collaboration skills, with a strong focus on learning and continuous improvement

Additional Information

• Employee discount (hello ASOS discount!)
• Employee sample sales
• 25 days paid annual leave + an extra celebration day for a special moment
• Private medical care scheme
• Fixed Annual Payment in addition to your salary each year, it's just an extra thank you from us
• Opportunity for personalised learning and in-the-moment experiences that enable you to thrive and excel in your role