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2026-08-31

Azure Data Platform Engineer - 19038Veritaz AB

Annonsen kommer från Arbetsförmedlingens Platsbanken. Yrlo förmedlar den och rekryterar inte själv.

6 månader – upp till 12 månader · Heltid

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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