Data Engineer (Azure & Databricks)

TL;DR

Data Engineer (Azure & Databricks): Building and maintaining scalable data pipelines and processing solutions for a data-driven organization with an accent on Azure and Databricks. Focus on optimizing data ingestion, implementing ETL/ELT workflows, and creating semantic models for analytics and BI.

Location: Stockholm, Sweden (Hybrid)

Company

A leading Swedish IT consulting firm specializing in building high-performing technology teams and delivering end-to-end IT solutions.

What you will do

• Design, build, and maintain scalable data pipelines and processing solutions using Azure and Databricks.
• Develop and optimize data ingestion, transformation, and integration processes.
• Create and maintain semantic models to support analytics and reporting requirements.
• Implement and manage ETL/ELT workflows following industry best practices.
• Ensure data quality, reliability, security, and performance across the data platform.
• Collaborate with stakeholders, analysts, and development teams to deliver data-driven solutions.

Requirements

• Minimum 5 years of professional experience as a Data Engineer.
• Strong hands-on experience with Microsoft Azure, Azure Databricks, SQL, and Python.
• Experience with CI/CD tools and practices.
• Strong understanding of data warehousing, data modeling, and ETL/ELT concepts.
• Excellent communication skills in both Swedish and English.
• Must be based in or able to work from Stockholm.

Nice to have

• Familiarity with Power BI.
• Experience with Azure DevOps.
• Experience with Azure Storage Explorer.

Culture & Benefits

• Flexible hybrid working model for optimal work-life balance.
• Competitive compensation and comprehensive benefits package.
• 25 days of annual leave.
• Annual wellness allowance of 3,500 SEK.
• Supportive culture fostering continuous learning and professional development.