Azure Data Platform Engineer - 19038

Sweden | Aug. 31, 2026

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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

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