Senior Software Engineer

Overview

In this role you will own and build FinOps-enabled data products and the cost platform behind ASOS’s Azure estate. You’ll partner with Engineering, Finance and Product teams to visualize, attribute and optimise cloud spend, driving scalable, production-ready solutions. You’ll shape technical direction, ensure reliability in production, and explore agentic AI to improve workflows. This is a hands-on role with ownership across the full lifecycle, from data pipelines to dashboards.

Pay / Benefits

• competitive salary
• pension
• private medical care scheme
• Performance-related bonus
• Flex benefits allowance
• 25 days paid annual leave plus birthday leave

Responsibilities

• Design and deliver cost visibility data products across ASOS for Azure spend including cost pipelines, allocation/showback models, anomaly detection and reporting surfaces
• Own the cost and usage data platform on Databricks, ingesting Azure Cost Management exports, reservations data, resource metadata into Delta Lake and modeling datasets
• Build Power BI semantic models with DAX measures and DirectQuery, with code-managed definitions via TMDL and XMLA
• Lead optimisation across the estate (right-sizing, autoscaling, storage tiering, data transfer, orphaned resources cleanup)
• Own the FinOps data platform stack (Azure Functions, Bicep IaC, managed identities, RBAC, multi-environment CI/CD with GitHub Actions, monitoring and alerting)
• Engage with Product Delivery Teams to review architectures, quantify trade-offs and enable efficient technical decisions
• Build governance around cost allocation (tagging policies, Azure Policy, budgets, exception reporting)
• Develop unit economics linking cloud spend to business value (cost per order/customer)
• Support forecasting, budgeting and variance analysis with Finance
• Set technical direction for FinOps engineering; mentor and review code/designs; contribute to architecture decisions
• Explore agentic AI usage (GitHub Copilot, Claude Code) to improve investigation and reporting workflows
• Ensure security and compliance with Cyber Security in platform design and operations
• Demonstrate ownership across the lifecycle from development to production

Key requirements

• Strong hands-on Azure engineering experience including IaC and production services
• DevOps mindset with CI/CD (GitHub Actions), automated testing, multi-environment promotions, monitoring and incident response
• Strong production Python experience (services or data products)
• Power BI semantic modeling and robust DAX models

• Cross-functional collaboration
• Ownership and accountability
• Mentoring and architectural influence
• Azure Cost Management exports, reservations or Savings Plans (FinOps)
• Databricks and Delta Lake
• KQL (Azure Monitor)

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