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Azure Data Platform Engineer - 19038
Sweden | Aug. 31, 2026
Company: Veritaz AB
Country: Sweden
Type: Onsite
Employment: Contract
Description: Veritaz is a leading IT staffing solutions provider in Sweden, committed to advancing individual careers and aiding employers in ensuring the perfect talent fit. With a proven track record of successful partnerships with top companies, we have rapidly grown our presence in the USA, Europe, and Sweden as a dependable and trusted resource within the IT industry.
Assignment Description
We are looking for an experienced Azure Data Engineer
What You Will Work On
Build scalable data pipelines using Azure Data Factory
Develop data solutions with Azure Databricks
Work with Azure Blob Storage
Transform large datasets using Python and PySpark
Process structured and unstructured service contract data
Develop both batch and streaming data pipelines
Work with event-driven architectures such as Azure Service Bus / Kafka
Design and optimize data models in Databricks
Work with Delta Lake, partitioning and performance tuning
Build and maintain CI/CD pipelines using Azure DevOps
Ensure data quality, monitoring and production reliability
Develop API and system integrations
Connect AI models with enterprise systems
Troubleshoot and optimize production data pipelines
What You Bring
5+ years of experience in data engineering
Strong hands-on experience with Microsoft Azure
Strong experience with Azure Data Factory
Strong experience with Azure Databricks
Advanced Python and PySpark skills
Experience with Azure Blob Storage
Experience with batch and streaming data processing
Understanding of event-driven architectures
Experience with Service Bus, Kafka or similar technologies
Strong knowledge of data modelling and optimization
Experience with Delta Lake, partitioning and performance tuning
Experience building CI/CD pipelines with Azure DevOps
Strong focus on data quality, monitoring and production reliability
Experience with API and system integration
Ability to integrate AI models with systems
Apply here:
Web: Apply here
Emails:
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