Impress employers and recruiters.
Choose from hundreds of resume examples.

Impress employers and recruiters.
Choose from hundreds of resume examples.

Target Resume Now

About the Role

We are seeking a Senior Data Engineer with a minimum of 5+ years of experience in designing and implementing scalable, end-to-end data engineering solutions. The role requires strong expertise in Snowflake, modern data pipeline development, cloud platforms, version-controlled development practices, and AI-enabled data solutions.

Responsibilities

• Design, build, and maintain end-to-end data pipelines with Snowflake as the primary data warehouse.
• Implement and support Medallion Architecture within Snowflake for structured and scalable data management.
• Develop data ingestion pipelines using Python and/or Informatica to load data into Snowflake.
• Build scalable and efficient data models and transformation logic within Snowflake.
• Leverage Snowflake AI/ML capabilities to enable advanced analytics, automation, and data-driven insights.
• Manage SQL scripts, Python code, and Snowflake objects in a structured and maintainable way.
• Use Git / Bitbucket for version control of Snowflake scripts, Python code, and deployment artifacts.
• Support and implement CI/CD and deployment processes for data pipelines and database changes.
• Monitor, troubleshoot, and optimize data pipelines across all environments.
• Ensure data quality, consistency, and performance across all pipelines.

Requirements

• Minimum 5+ years of experience in data engineering or related roles.
• Strong hands-on experience with Snowflake, including data modeling, performance tuning, and production workloads.
• Proven experience in building end-to-end data pipelines.
• Strong proficiency in Python for data processing and automation.
• Experience with Informatica or similar ETL tools.
• Advanced SQL skills with strong understanding of data warehousing concepts.
• Hands-on experience with Snowflake AI/ML capabilities.
• Experience using Git / Bitbucket for version control in collaborative environments.
• Basic to intermediate understanding of CI/CD pipelines and deployment workflows.
• Hands-on experience with AWS cloud services and cloud-based data architectures.

Skills

• Snowflake
• Data Pipeline Development
• Cloud Platforms
• Version Control
• AI-enabled Data Solutions
• Python
• Informatica
• SQL
• Git
• Bitbucket
• CI/CD
• AWS

Work Type

• Hybrid

Experience Level

• Senior
• 5+ years

Salary/Compensations

• Base Salary Compensation Range
• Incentive Target Percentage 12.5% Annual

Benefits

• A range of other benefits are also available to enhance flexibility as needs change.

About the Company

• Morningstar's hybrid work environment gives you the opportunity to collaborate in-person each week as we've found that we're at our best when we're purposely together on a regular basis.
• In most of our locations, our hybrid work model is four days in-office each week.
• No matter where you are, you'll have tools and resources to engage meaningfully with your global colleagues.
• Morningstar Sweden AB Legal Entity