Senior Data Engineer

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 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

Design, build, and maintain scalable end-to-end data pipelines using Snowflake and Python. Implement Medallion Architecture and leverage AI/ML capabilities to drive advanced analytics and automation.

Requires a minimum of 5 years of experience in data engineering with strong proficiency in Snowflake, Python, and cloud-based data architectures. Candidates must have hands-on experience with ETL tools, version control systems, and CI/CD deployment workflows.

• Hybrid work environment • Global collaboration resources

• SQLPreferred
• CI/CDPreferred
• Amazon Web ServicesPreferred
• GitPreferred
• PythonPreferred

Identified from the job description. Confirm important requirements above.

• Snowflake
• Python
• Data Engineering
• Data Pipelines
• SQL
• Informatica
• AWS
• Git
• Bitbucket
• CI/CD
• Data Modeling
• Snowflake Cortex
• AI/ML
• Medallion Architecture
• Data Warehousing
• Pipelines
• Cloud Services
• Workflow Management
• Git (Version Control System)
• Advanced Analytics
• Snowflake (Data Warehouse)
• Infrastructure as Code (IaC)
• Agile Methodology
• Artificial Intelligence
• Amazon Web Services
• Automation
• Business Intelligence
• Version Control
• Data Processing
• Extract Transform Load (ETL)
• Data Management
• Data Quality
• Data Visualization
• Scalability
• Python (Programming Language)
• Machine Learning
• Performance Tuning
• Scrum (Software Development)
• SQL (Programming Language)
• Tableau (Business Intelligence Software)
• Troubleshooting (Problem Solving)
• Data Ingestion
• Terraform

• Data & Analytics
• Technology
• Software
• Engineering
• Data Engineer
• Software Developers
• Database Administrators

Minimum experience

5+ years

Posting language

English

Working hours

40 hours per week

Office presence

4 days per week