Backend .NET Developer with Data Platform Experience

Avanade

Wrocław

On-site

PLN 180,000 - 240,000

Full time

15 hours ago
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Job summary

Avanade Inc. in Poland is seeking a Backend .NET Developer with Data Platform experience to design and build modern backend applications and services using .NET and Microsoft Azure.

You will integrate with data platforms such as Microsoft Fabric or Databricks, develop data pipelines, and contribute to AI-enabled solutions. The role spans backend, integration and data platform responsibilities across industries.

Qualifications

  • At least 3 years of software development experience using C# and .NET.
  • Experience building backend apps and APIs with ASP.NET Core.
  • Designing REST APIs and distributed services.
  • Practical experience with Microsoft Azure.
  • Experience with relational databases (SQL Server).
  • Knowledge of automated testing and clean code principles.
  • Experience building CI/CD pipelines with Azure DevOps or GitHub Actions.

Responsibilities

  • Design, develop and maintain backend applications and services using C#, .NET and Azure.
  • Build and integrate REST APIs and distributed services.
  • Integrate backend with data platforms such as Microsoft Fabric or Databricks.
  • Develop data pipelines, transformations and data integration solutions.
  • Develop data processing, automation and integration logic using Python and SQL.
  • Work with relational databases and data lake/lakehouse/warehouse architectures.
  • Build and maintain CI/CD pipelines using Azure DevOps or GitHub Actions.
  • Collaborate with stakeholders to refine requirements and deliver iteratively.
  • Participate in Agile teams and contribute to code reviews and quality.

Skills

C#/.NET
ASP.NET Core
Azure
SQL
Testing
CI/CD
English B2
Communication

Tools

Azure DevOps
GitHub Actions
Python

Job description

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
Qualifications
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
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