Backend .NET Developer with Data Platform Experience

As a Backend .NET Developer with Data Platform experience, you will primarily design and build modern backend applications and services using .NET and Microsoft Azure.
You will also contribute to data-driven solutions by integrating backend services with modern data platforms such as Microsoft Fabric or Databricks. This role is a good fit for an experienced backend developer who wants to broaden their experience in data engineering and work across application, integration and data platform responsibilities.
You will:

- Design, develop and maintain reliable, maintainable and well-tested backend applications and services using C#, .NET and Microsoft Azure

- Build and integrate REST APIs, distributed services and data-driven applications

- Integrate backend services with modern data platforms such as Microsoft Fabric or Databricks

- Contribute to the development of data pipelines, data transformations and data integration solutions

- Develop data processing, automation and integration logic using Python and SQL

- Work with relational databases and modern data architectures, including data lake, lakehouse and data warehouse solutions

- Build and maintain CI/CD pipelines using Azure DevOps or GitHub Actions

- Work directly with technical and business stakeholders to understand and refine requirements

- Collaborate closely with distributed project teams using Agile methodologies

- Contribute to engineering quality through automated testing, code reviews, technical feedback and knowledge sharing

- Contribute to AI-enabled solutions where relevant, particularly integrations between backend services, data platforms and Microsoft Azure AI services

- Work on projects across a range of industries and business domains
.
Skills and experience
Required skills
Backend development

- At least 3 years of commercial software development experience using C# and .NET

- Experience building backend applications and APIs using ASP.NET Core

- Experience designing and integrating REST APIs and distributed services

- Practical experience with Microsoft Azure and cloud-based application development

- Experience with relational databases (e.g. SQL Server / Azure SQL)

- Knowledge of automated testing, clean code principles, design patterns and modern software architecture

- Experience building or maintaining CI/CD pipelines using Azure DevOps or GitHub Actions
Data platforms and integration

- Commercial experience contributing to data pipelines, data transformations or data integration solutions

- Hands-on experience with at least one of the following data platforms:
- Microsoft Fabric, including Data Factory, Lakehouse or related data workloads

- Databricks, preferably Azure Databricks

- Practical experience using Python for data processing, automation or system integration

- Strong SQL skills for querying, transforming and validating data

- Understanding of core data engineering concepts, including:
- ETL and ELT

- Data modelling

- Data quality

- Data lake, lakehouse and data warehouse architectures

- Data governance

General

- Ability to communicate clearly with both technical and business stakeholders

- Willingness to work across backend development, system integration and data platform responsibilities

- English language skills at B2 level or higher, as English is used in daily communication
Nice to have

- Experience with both Microsoft Fabric and Databricks

- Practical knowledge of PySpark and Apache Spark concepts

- Experience with Data Factory (Microsoft Fabric or Azure) and lake storage such as OneLake, Azure Data Lake Storage Gen2 or Delta Lake

- Familiarity with Unity Catalog or similar data governance capabilities

- Experience with messaging and event-driven architecture, such as Azure Service Bus or Azure Event Hubs

- Familiarity with containerization and orchestration using Docker or Kubernetes

- Experience contributing to AI-enabled applications or data solutions, e.g. using Microsoft AI services or Copilot Studio

- Experience using AI-assisted software development tools such as GitHub Copilot, Cursor or Claude Code

- Knowledge of frontend technologies such as React or Angular
.