/Azure Full Stack Integration Developer

Azure Full Stack Integration Developer

Netherlandsnlvia direct
// Job Type
Full Time
// Salary
Not disclosed
// Posted
2 months ago

About the Role

GeekSoft Consulting | Fixed Term Employment

Stockholm, Sweden | Posted on 05/29/2026

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  • Industry Technology
  • Date Opened 05/29/2026
  • Job Type Fixed Term Employment
  • Work Experience 5+ years
  • State/Province Stockholm County
  • City Stockholm
  • Zip/Postal Code 100 05
  • Country Sweden
  • Help design, build and continuously improve the clients online platform.
  • Research, suggest and implement new technology solutions following best practices/standards.
  • Take responsibility for the resiliency and availability of different products.
  • Be a productive member of the team.
  • Design, develop, and maintain secure, scalable server-side applications and RESTful APIs using C#, ASP.NET, and ASP.NET Web API.
  • Develop and optimize Microsoft SQL Server database schemas, stored procedures, queries, and data access layers.
  • Build scalable backend services and integration solutions aligned with enterprise architecture standards.
  • Design and implement automated business workflows using Microsoft Power Automate and Azure Logic Apps.
  • Develop enterprise-level integrations connecting internal and external systems using Azure integration services and APIs.
  • Support event-driven and microservices-based integrations using Azure Functions and serverless architectures.
  • Deploy, manage, and support applications using Azure App Services (PaaS).
  • Build and maintain Azure Function Apps for background processing, event handling, and lightweight integrations.
  • Manage and optimize Azure cloud resources and services to support scalable analytics and application environments.
  • Design, develop, and automate ETL pipelines using Azure services and ETL tools such as: SSIS, Informatica, SAP BODS, Other enterprise ETL platforms
  • Support data governance, data quality, monitoring, and early-stage validation initiatives.
  • Develop and maintain data models and support enterprise data warehousing solutions.
  • Collaborate with analytics teams to deliver optimized and user-friendly datasets for reporting and business intelligence.
  • Support reporting and analytics solutions using Power BI or similar reporting tools.
  • Configure and manage CI/CD pipelines using Azure DevOps for automated build, testing, deployment, and release management.
  • Collaborate with cross-functional teams using: Azure DevOps Boards, Git version control, Release pipelines, Agile delivery practices
  • Use PowerShell scripting for automation, Azure resource management, and operational support tasks.
  • Strong hands-on experience with Microsoft SQL Server or other relational database management systems.
  • Experience developing and managing ETL pipelines within Microsoft Azure cloud environments.
  • Strong understanding of Azure services and modern cloud-based analytics architectures.
  • Experience working with data governance, data quality management, monitoring, and validation frameworks.
  • Hands-on experience with ETL tools such as: SSIS, Informatica, SAP BODS, Other enterprise ETL solutions
  • Strong understanding of Data Warehousing concepts and data modeling techniques.
  • Experience with Power BI or similar reporting and visualization platforms.
  • Experience designing scalable enterprise data models and analytics-ready datasets.
  • Familiarity with Azure App Services, Azure Functions, Logic Apps, and Power Automate.
  • Good understanding of CI/CD, DevOps practices, and Azure DevOps tooling.
  • Basic PowerShell scripting knowledge for automation and administration tasks.
  • Experience with Microsoft Fabric.
  • Exposure to modern analytics and enterprise data product strategies.
  • Understanding of cloud-native integration and serverless architectures.
  • Strong communication, collaboration, and stakeholder management skills.
  • Excellent analytical and problem-solving abilities.
  • Proactive mindset with a passion for learning emerging technologies in data engineering and analytics.
  • Ability to self-manage, prioritize multiple tasks, and work effectively in collaborative Agile environments.
  • A challenging, innovating environment.
  • Opportunities for learning where needed.

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