Data Management professional at Kyndryl involved in creating innovative data solutions and ensuring the seamless operation of complex data systems. Collaborating with teams to transform requirements into scalable database solutions.
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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