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Tech Stack
Tools & technologiesAzureCloudPythonSQL
About the role
Key responsibilities & impact- Design, develop, and maintain data pipelines on the Databricks platform
- Build and optimize scalable data integration and transformation solutions
- Work directly with Databricks notebooks, jobs, clusters, and workflows
- Develop reliable and performant solutions for processing large volumes of data
- Implement modern data modeling approaches using dbt
- Ensure high standards for data quality, traceability, scalability, and performance
- Contribute to the architecture and evolution of the organization's Azure-based data platform
- Establish and improve engineering best practices
Requirements
What you’ll need- 5+ years of experience in Data Engineering
- 3-5+ years of hands-on Databricks experience in production environments
- Strong experience building and operating data pipelines
- Advanced knowledge of Python and SQL
- Experience with distributed data processing and large-scale datasets
- Solid understanding of data engineering principles
- Experience with dbt and modern data modeling practices
- Ability to independently drive technical initiatives
- Professional proficiency in English
- Nice-to-have: experience with real-time data processing, cloud migrations, CI/CD, Swedish understanding
Benefits
Comp & perks- Equal opportunities in recruitment, career development, and leadership
- Supportive work environment that values diversity
- Opportunities for personal growth and development
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data engineeringDatabricksdata pipelinesPythonSQLdbtdata modelingdistributed data processinglarge-scale datasetsdata quality
Soft Skills
independent initiativecommunicationcollaborationproblem-solvingattention to detail
