.NET Backend Developer (Data Platform)

Quick Facts

• Role: Backend .NET Developer (Data Platform)

• Work mode: Remote within Poland or hybrid (Wroclaw and Krakow offices)

Description

You will design and build modern backend applications and services using .NET and Microsoft Azure. The role is data-focused: integrate backend services with modern data platforms such as Microsoft Fabric or Databricks and contribute to data pipelines and transformations. You will also implement data processing and integration logic using Python and SQL.

Responsibilities

• Design, develop, and maintain reliable, maintainable, well-tested backend applications and services
• Build and integrate REST APIs, distributed services, and data-driven applications
• Integrate backend services with Microsoft Fabric or Databricks
• Contribute to data pipelines, data transformations, and data integration solutions
• Develop data processing, automation, and integration logic using Python and SQL
• Work with relational databases and data architectures (data lake, lakehouse, data warehouse)
• Build and maintain CI/CD pipelines using Azure DevOps or GitHub Actions
• Work with technical and business stakeholders to refine requirements
• Collaborate with distributed project teams using Agile methodologies
• Contribute to AI-enabled solutions where relevant, especially integrations between backend services, data platforms, and Azure AI services

Requirements

• At least 3 years of commercial development with C# and .NET, including backend/API development with 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, 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 data platform: Microsoft Fabric (including Data Factory/Lakehouse or related) and/or Databricks (preferably Azure Databricks)
• Practical Python experience for data processing, automation, or system integration
• Understanding of ETL and ELT, data modeling, data quality, data lake/lakehouse/warehouse architectures, and data governance
• English language skills at B2 level or higher

Benefits

Not specified in the provided posting.