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Open nowPosted 3 days ago

Backend .NET Developer with Data Platform Experience

Avanade648 open roles

Where
Wroclaw Dominikanski Center
Work mode
Hybrid
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Your applicationOpen nowBackend .NET Developer with Data Platform ExperienceAvanade · Wroclaw Dominikanski Center

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The clock on this job

Early applications get read.

13.1% of postings close within 7 days. Measured by our own scanner across the market. Avanade postings stay open a median of 11 days.

Share of postings closed within
  1. 2.2%1 day
  2. 4.7%3 days
  3. 13.1%7 days
  4. 21.1%14 days
  5. 35.7%30 days
  6. 58.7%60 days
This job: posted 3 days ago

Avanade median: 11 days open

The posting

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

.

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