This job is with Morningstar, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly.

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: 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

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 perks 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

📌 Senior Data Engineer (Winnipeg)
🏢 Morningstar
📍 Winnipeg