Azure Full Stack Engineer - Cosmos DB

Gazelle Global Consulting Limited; Greater London; Hybrid; GBP 101,000 - 129,000; Full time

Job summary

Gazelle Global Consulting Limited invites an Azure Full Stack Engineer to join a major cloud and data engineering programme in London. The role is a 6-month contract with a hybrid model, requiring 1-3 days onsite.

You will blend full stack development with Azure data engineering, building scalable applications and integrating Cosmos DB into cloud-native microservices, while upholding performance, security and data standards.

Qualifications

• Experience building scalable cloud-native applications on Azure.
• Strong knowledge of Cosmos DB, SQL API and data modelling.
• Experience with CI/CD pipelines and DevOps practices.
• Proficient in C#, ASP.NET and .NET Core.
• Familiar with PySpark and Apache Spark.

Responsibilities

• Develop and maintain full stack applications on Azure using Cosmos DB and Spark components.
• Collaborate with solution architects and DevOps to design cloud-native, microservices-based solutions.
• Ensure performance, security, and data governance standards are met across data pipelines.

Skills

Azure Cosmos DB

C#

ASP.NET & .NET Core

Cosmos DB SDKs

NoSQL data modelling

PySpark

Apache Spark

Change Data Feed

Git & GitLab CI/CD

Scalable architectures

Tools

Cosmos DB SDKs

GitLab CI/CD

Git

Spark connectors

Job description

We're looking for an Azure Full Stack Engineer - Cosmos DB to join a major cloud and data engineering programme in London. This is a 6-month contract with a hybrid working model, requiring 1-3 days onsite.

The role combines full stack development with modern Azure data engineering, giving you the opportunity to work on scalable applications and critical data components. You'll work closely with solution architects and DevOps teams, helping integrate Cosmos DB into cloud-native and microservices-based solutions while maintaining strong performance, security and data standards.

Key Skills

• Azure Cosmos DB, including SQL API and query optimisation
• C#, ASP.NET and .NET Core
• Cosmos DB SDKs and NoSQL data modelling
• Change Data Feed and Spark integration
• PySpark and Apache Spark
• Microsoft Fabric data pipelines
• Partitioning, indexing and consistency levels
• Pytest and automated testing
• Git and GitLab DevOps/CI pipelines
• Scalable application and concurrency patterns