Arbetsbeskrivning

Veritaz is a leading IT staffing solutions provider in Sweden, committed to advancing individual careers and aiding employers in securing 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 a Senior Data Engineer to join our dynamic team.

What you will work on:

• Support the decommissioning of legacy data solutions, ensuring a smooth transition to modern platforms
• Collaborate with business stakeholders to define requirements and deliver data and analytics solutions aligned with business priorities
• Design, develop, configure, test, and maintain end-to-end data solutions from source systems to visualization
• Work across the Microsoft Azure ecosystem, implementing scalable and secure analytics solutions
• Leverage modern tools and frameworks to accelerate analytics implementation within the Global Data & Analytics Hub (GDAH)
• Ensure delivered solutions meet evolving business needs and adhere to established data and development standards
• Contribute to continuous improvement and knowledge sharing within the team and across the organization
• Operate within the SAFe framework, contributing to Agile delivery and cross-functional collaboration

What you bring:

• 6–8 years of hands-on experience as a Data Engineer in complex data environments
• Proven experience as a Cloud Data Engineer or Business Intelligence Developer
• Strong expertise in developing solutions on the Azure Analytics platform, particularly with Azure Databricks, SQL Spark, Python Spark, Azure DevOps, Azure Data Factory, and related resources
• Deep understanding of Business Intelligence and Data Warehouse architectures, including Lakehouse and dimensional modeling (Kimball methodology)
• Familiarity with Business Intelligence development methods, best practices, and design patterns
• Practical experience working within the SAFe Agile framework
• Strong communication and problem-solving skills, with the ability to translate business requirements into technical solutions