> Markdown version of [/jobs/ext/2321062-software-engineer](https://www.wearedevelopers.com/jobs/ext/2321062-software-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Software Engineer - **Company:** SAASDOTNET LIMITED - **Location:** Swindon, UK (Remote available) - **Experience:** Experienced - **Salary:** £40,000.0 - £65,000.0 - **Contract:** Permanent contract - **Skills:** ASP.NET, .NET Framework, Multitier Architecture, Application Programming Interfaces (APIs), Agile Methodology, Airflow, Application Performance Management, User Authentication, Microsoft Azure, C Sharp (Programming Language), Code Review, Databases, Continuous Integration, Command-Query Responsibility Segregation (Software Development), Information Engineering, Extract Transform Load (ETL), Language Integrated Query, Entity Framework, SQL Azure, Nunit, OAuth, Redis, Azure Active Directory, Cloud Services, Azure DevOps Pipelines, Standard Sql, Swagger, Azure Data Lake, JSON Web Token, Software Engineering, SQL Databases, Systems Integration, Openapi, Azure Service Bus, Data Logging, Data Processing, .NET Core, Microsoft Power Automate, Azure Data Factory, Spring Cloud, Delivery Pipeline, Apache Spark, Backend, Git, Moq, Event Driven Architecture, Pyspark, Solid Principles, AWS Data Analytics, Cloud Integration, Restful APIs, Terraform, Azure Synapse Analytics, Data Pipelines, Api Management, Serverless Computing, Docker, Key Vault, Databricks, Web Api, Microservices - **Published:** August 8, 2026 - **Apply:** https://uk.indeed.com/viewjob?jk=a21fe55a04e02d2f ## About the Role You will be a strong fit for this role if you have experience working across both Azure application development and Data Engineering. You should be comfortable developing .NET APIs and cloud integrations while also working with modern data pipelines, Databricks, Spark, SQL, and Azure data platforms. You should have strong problem-solving skills, good communication skills, and the ability to work effectively within an Agile development team. Job Type Full-time Experience Azure / .NET Development: 3+ years preferred Data Engineering: 2+ years preferred ## Description This is a hands-on role combining .NET application development, Azure cloud integration, and Data Engineering. The successful candidate will work on cloud-native applications, REST APIs, serverless integrations, ETL/ELT pipelines, and enterprise data solutions., * Develop and maintain applications using C#, .NET Core, and ASP.NET Core Web API. * Build secure and scalable REST APIs and backend services. * Develop serverless solutions using Azure Functions. * Implement integrations using Azure Service Bus, Logic Apps, and API Management. * Design and develop ETL/ELT pipelines using Azure Data Factory. * Develop data-processing solutions using Azure Databricks, PySpark, Apache Spark, and SQL. * Work with Azure Synapse Analytics, Azure SQL Database, and ADLS Gen2. * Integrate applications and data across APIs, databases, and cloud services. * Implement authentication and security using Microsoft Entra ID, Managed Identity, Key Vault, OAuth, and JWT. * Build and maintain Azure DevOps CI/CD pipelines. * Implement monitoring and logging using Application Insights and Azure Monitor. * Participate in code reviews, technical design, testing, and troubleshooting. * Work closely with developers, architects, testers, and business stakeholders in an Agile environment. Essential Skills * C# / .NET / .NET Core * ASP.NET Core Web API * REST API development * Azure Functions * Azure Service Bus * Azure Logic Apps * Azure API Management * Azure Data Factory * Azure Databricks * PySpark / Apache Spark * SQL * Azure SQL Database * Azure Synapse Analytics * Azure Data Lake Storage Gen2 * Entity Framework Core / LINQ * Azure DevOps * Git and CI/CD Desirable Skills Experience with any of the following would be beneficial: * Microservices architecture * Clean Architecture / SOLID principles * CQRS / MediatR * Event-driven architecture * Azure Event Grid * Redis * Docker * Terraform * Swagger / OpenAPI * xUnit / NUnit / Moq * AWS Data Engineering technologies * Apache Airflow