At a Glance
- Tasks: Build and evolve a cutting-edge platform for data engineering and ML workflows.
- Company: Join ASOS Tech, a dynamic team at the forefront of technology.
- Benefits: Enjoy employee discounts, 25 days leave, private medical care, and extra annual payments.
- Other info: Embrace a culture of learning and continuous improvement in a supportive environment.
- Why this job: Make a real impact in tech while collaborating with talented engineers and data scientists.
- Qualifications: Experience in data platforms, Python, and Azure technologies is essential.
The predicted salary is between 60000 - 75000 £ per year.
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.
Benefits
- 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.
Platform Engineer employer: ASOS
ASOS is an exceptional employer for Platform Engineers, offering a vibrant work culture that prioritises collaboration and continuous learning. With generous benefits such as a significant employee discount, private medical care, and 25 days of annual leave plus an extra celebration day, employees are well-supported in both their professional and personal lives. Located in a dynamic tech environment, ASOS provides ample opportunities for growth and development, making it an ideal place for those looking to make a meaningful impact in the data engineering and ML space.
StudySmarter Expert Advice🤫
We think this is how you could land Platform Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python and Spark. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions related to data platforms and ML workflows. Practice explaining your thought process clearly, as communication is key in collaborative environments.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team at ASOS Tech.
We think you need these skills to ace Platform Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the Platform Engineer role. Highlight your hands-on experience with Python, Spark, and Azure technologies to catch our eye!
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about data platforms and how your background aligns with our needs. Share specific examples of your work in data engineering or ML platform engineering to make it personal.
Showcase Your Projects:If you've worked on relevant projects, whether in a professional setting or as personal endeavours, include them! We love seeing practical applications of your skills, especially in areas like CI/CD and Infrastructure as Code.
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!
How to prepare for a job interview at ASOS
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, especially Python, Apache Spark, and Azure services. Brush up on your experience with CI/CD tools like Azure DevOps and GitHub Actions, as well as Infrastructure as Code using Terraform. Being able to discuss these confidently will show that you're ready to hit the ground running.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled challenges in platform reliability, performance, or security in past roles. Think about specific situations where you improved data quality or pipeline reliability. This will demonstrate your hands-on experience and ability to contribute effectively to the team.
✨Collaboration is Key
Since the role involves working closely with Data Engineers, Data Scientists, and ML Engineers, be ready to discuss your collaboration experiences. Share stories that highlight your communication skills and how you’ve worked together to achieve common goals. This will show that you can thrive in a team environment.
✨Understand Security Best Practices
Familiarise yourself with security concepts like RBAC, ACLs, and secure configurations. Be prepared to discuss how you’ve implemented security measures in previous projects. This knowledge is crucial for supporting a secure-by-default platform design, which is a key aspect of the role.
