Platform Engineer

Ascendion; Greater London; On-site; GBP 75,000 - 110,000; Full time

Job summary

Ascendion is seeking an experienced Azure Platform Engineer to support and enhance an enterprise Azure-based data and analytics platform. You will work across cloud infrastructure, data engineering, platform operations, API integrations, and AI services, collaborating with cross-functional teams to deliver secure, scalable, and reliable solutions.

Key responsibilities include optimizing Azure services, building data pipelines and APIs, and enabling AI capabilities while ensuring security and

Qualifications

• Hands-on experience with Azure Platform Engineering in enterprise environments.
• Strong knowledge of Azure Synapse, Azure SQL, Azure Storage, DataLake, Azure PaaS, and API Management.
• Experience with SQL, data engineering, CI/CD, Infrastructure as Code, monitoring, and Azure security.

Responsibilities

• Support and optimize Azure platform services across production and non-production environments.
• Build and maintain data pipelines, integrations, APIs, and Azure PaaS services including Azure Synapse, Azure SQL, Data Lake Storage, Function Apps, Key Vault, and API Management.
• Monitor platform health, troubleshoot incidents, and drive continuous service improvements.
• Support automated deployments using CI/CD and Infrastructure as Code (IaC).
• Enable and support AI services, including managed AI models and document processing capabilities.
• Implement security, monitoring, governance, and technical documentation.
• Collaborate with engineering, architecture, product, and business teams to deliver platform enhancements.

Skills

Azure Platform Engineering

Cloud infrastructure

Data pipelines

CI/CD

Infrastructure as Code

Python

Azure OpenAI

LLM integrations

Azure security

Tools

Azure Synapse

Azure SQL

Data Lake Storage

Function Apps

Key Vault

API Management

Azure Storage

Terraform

Job description

We are looking for an experienced Azure Platform Engineer to support and enhance an enterprise Azure-based data and analytics platform. You will work across cloud infrastructure, data engineering, platform operations, API integrations, and AI services, collaborating with cross-functional teams to deliver secure, scalable, and reliable solutions.

Key Responsibilities

• Support and optimize Azure platform services across production and non-production environments.
• Build and maintain data pipelines, integrations, APIs, and Azure PaaS services including Azure Synapse, Azure SQL, Data Lake Storage, Function Apps, Key Vault, and API Management.
• Monitor platform health, troubleshoot incidents, and drive continuous service improvements.
• Support automated deployments using CI/CD and Infrastructure as Code (IaC).
• Enable and support AI services, including managed AI models and document processing capabilities.
• Implement security, monitoring, governance, and technical documentation.
• Collaborate with engineering, architecture, product, and business teams to deliver platform enhancements.

Skills & Experience

• Hands-on experience with Azure Platform Engineering in enterprise environments.
• Strong knowledge of Azure Synapse, Azure SQL, Azure Storage, DataLake, Azure PaaS, and API Management.
• Experience with SQL, data engineering, CI/CD, Infrastructure as Code, monitoring, and Azure security.
• Strong troubleshooting, documentation, and stakeholder communication skills.
• Experience with Azure OpenAI, Google Gemini, or similar AI services.
• Knowledge of LLM integrations, Azure AI Document Intelligence, and Python.
• Azure certification and experience supporting enterprise data or analytics platforms.