Design, build, and maintain end-to-end data pipelines and data models in Snowflake using Medallion Architecture. Develop ingestion and transformation logic with Python and/or Informatica, implement CI/CD and version control (Git/Bitbucket), leverage Snowflake AI/ML (Cortex/LLM integrations), monitor and optimize pipelines, and ensure data quality and performance across environments.
The Role:
We are looking for a Senior Data Engineer with a minimum of 5+ years of experience in designing and implementing scalable, end-to-end data engineering solutions. The ideal candidate should have strong hands-on expertise in Snowflake, modern data pipeline development, cloud platforms, version-controlled development practices, and AI-enabled data solutions.
Key Responsibilities:
Required Skills & Experience:
Nice to Have:
Base Salary Compensation Range
$90,489.00-132,711.00
Incentive Target Percentage
12.5% Annual
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. A range of other benefits are also available to enhance flexibility as needs change. No matter where you are, you'll have tools and resources to engage meaningfully with your global colleagues.
S99_MstarSwedenAB Morningstar Sweden AB Legal Entity
We are looking for a Senior Data Engineer with a minimum of 5+ years of experience in designing and implementing scalable, end-to-end data engineering solutions. The ideal candidate should have strong hands-on expertise in Snowflake, modern data pipeline development, cloud platforms, version-controlled development practices, and AI-enabled data solutions.
Key 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 (e.g., Snowflake Cortex, AI functions, or LLM integrations where applicable) 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.
Required Skills & Experience:
- 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 (e.g., Snowflake Cortex, LLM-based features, or similar AI-driven data platforms).
- 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.
Nice to Have:
- Exposure to Agile/Scrum development environments.
- Knowledge of Terraform / Infrastructure as Code.
- Exposure to Tableau or other BI / data visualization tools.
Base Salary Compensation Range
$90,489.00-132,711.00
Incentive Target Percentage
12.5% Annual
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. A range of other benefits are also available to enhance flexibility as needs change. No matter where you are, you'll have tools and resources to engage meaningfully with your global colleagues.
S99_MstarSwedenAB Morningstar Sweden AB Legal Entity
Morningstar Toronto, Ontario, CAN Office
181 University Avenue, Toronto, ON, Canada, M5H 3M7
Morningstar Toronto, Ontario, CAN Office
1 Toronto Street, Toronto, Ontario, Canada, M5C 2W4
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