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Senior Software Engineer - Data Engineering
MANCHESTER · GB
—
Full-time
SENIOR
About the Role
Design and build highly scalable data engineering solutions for Moody's digital content platform. Use technologies like Databricks, Snowflake, Airflow, dbt, and Python. Collaborate with cross-functional teams and apply AI-assisted development tools to improve productivity.
Responsibilities
- Design, develop, and maintain scalable data pipelines using Databricks, Snowflake, Apache Airflow, dbt (SQL), and Python within AWS
- Support platform optimization, infrastructure improvements, process control enhancements, and system upgrades
- Collaborate with Moody’s technical teams and business partners throughout design and implementation phases
- Engage cross-functional teams to understand data requirements and deliver scalable solutions
- Educate and mentor others through code reviews, documentation, and workshops
Requirements
- 3+ years of experience in data engineering or software development
- Hands-on experience designing and developing data integration/ETL pipelines
- Hands-on experience with Apache Airflow, dbt, and Python
- Strong database skills with PostgreSQL, DynamoDB, Snowflake, and Databricks
- Experience collaborating with Agile teams and cross-functional stakeholders
- Experience applying AI-assisted development tools (e.g., GitHub Copilot, generative AI coding assistants)
M
Moody's
New York · US · 14000+ employees
Moody's is a global risk assessment firm providing credit ratings, research, and data to capital markets. The company offers integrated solutions for credit, financial risk management, and ESG analytics to help clients navigate complex economic risks.
