We are looking for an experienced Senior Data Engineer with strong hands-on expertise in building scalable, reliable, and production-ready data solutions within the Microsoft Azure ecosystem.

The ideal candidate combines strong data engineering capabilities with experience in system/API integration, streaming architectures, CI/CD, and AI model integration.

Key Responsibilities

• Design, build, and maintain scalable data pipelines in Microsoft Azure
• Develop ETL/ELT solutions using Azure Data Factory, Azure Databricks, and Blob Storage
• Transform and process large structured and unstructured datasets using Python and PySpark
• Build and maintain both batch and streaming data pipelines
• Work with event-driven architectures using technologies such as Azure Service Bus, Kafka, or equivalent
• Design and optimize data models in Azure Databricks and Delta Lake
• Improve pipeline performance through partitioning, optimization, and performance tuning
• Implement and maintain CI/CD pipelines using Azure DevOps
• Ensure data quality, monitoring, reliability, and stability in production environments
• Develop and maintain API and enterprise system integrations
• Integrate AI/ML models with applications, APIs, data pipelines, and production systems

Required Qualifications

• 5+ years of relevant Data Engineering experience
• Strong hands-on experience with Microsoft Azure
• Advanced proficiency in Python and PySpark
• Strong experience with Azure Data Factory and Azure Databricks
• Experience with Delta Lake, data modeling, partitioning, and performance optimization
• Experience with both streaming and batch processing
• Knowledge of Kafka, Azure Service Bus, or similar event-driven technologies
• Strong experience with Azure DevOps and CI/CD
• Experience with API integration and system integration
• Understanding of production-level data quality, monitoring, and reliability
• Experience connecting AI/ML models to production systems
• Strong analytical, troubleshooting, and problem-solving skills

⚠️ Important: Candidates must currently be located in Gothenburg, Sweden.