Data Engineer designing, building, and maintaining scalable data platforms and pipelines at Kyndryl. Utilizes Azure cloud solutions and adheres to modern software development practices.
About the role
- Senior Data Engineer handling data engineering responsibilities in hybrid setting for banking industry. Collaborating with cross-functional teams and maintaining data quality in Azure environments.
Responsibilities
- Manage, develop, and optimize the existing SQL-based data warehouse
- Ensure stable operations, high data quality, and accurate business logic
- Design and develop data pipelines in a modern Azure environment
- Transform and model data using dbt or similar tools
- Contribute to establishing frameworks and best practices for the future data platform
- Work closely with BI teams, analysts, and business stakeholders
Requirements
- Several years of experience as a Senior Data Engineer
- Strong expertise in SQL and ETL processes, preferably using SSIS
- Proven experience with modern data platforms in Azure, ideally including Databricks
- Experience with data transformation and modeling tools, preferably dbt
- Strong interest in data from a business and user perspective
- Proactive, communicative, and comfortable working in cross-functional teams
- Experience from banking, financial services, or regulated industries is an asset
- Fluent in Swedish and English
Benefits
- Equal opportunities in recruitment
- Career development
- Leadership opportunities
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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