.NET Developer with Data

We’re looking for specialists open to cooperate on B2B basis, for our customer – Avanade Poland.

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This role is available for specialists open to work remote (within Poland) or in hybrid mode (offices in Wroclaw and Krakow).

Position:

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.

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

Required skills:

For this role, you will need:

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

NET, including building back-end 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

• 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

• Understanding of core data engineering concepts, including:

• ETL and ELT

• Data modelling

• Data quality

• Data lake, lakehouse and data warehouse architectures

• Data governance

• English language skills at B2 level or higher, as English is used in daily communication

Nice to have:

• Practical knowledge of PySpark and Apache Spark concepts
• Experience with Data Factory (Microsoft Fabric or Azure) and lake storage such as One

Lake, 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
• Knowledge of frontend technologies such as React or Angular

If you want to ask any questions before applying, feel free to reach out via LinkedIn!