Data Engineer — Airflow, Snowflake & AI Pipelines

Moody's Corporation; Manchester; On-site; GBP 60,000 - 90,000; Full time

Job summary

Moody’s Corporation is seeking a data engineer to design and maintain highly scalable data pipelines powering Moody’s digital content platform in a cloud environment. You will work with analytics and product teams to translate data needs into robust solutions.

The role emphasizes collaboration, governance, and scalable data architectures, with opportunities to mentor others and contribute to AI-assisted development practices across Moody’s engineering teams.

Qualifications

• Bachelor’s degree or equivalent experience; Master’s degree is a plus.
• 1+ years of experience within a data engineering or software development team.
• Hands-on experience designing and developing data integration/ETL pipelines from diverse data sources and formats.

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

Skills

Data integration pipelines

ETL pipelines

Apache Airflow

dbt

Python

PostgreSQL

DynamoDB

Snowflake

Databricks

Agile

AI-assisted tooling awareness

Data governance & quality

Education

Bachelor’s degree or equivalent experience

Tools

Apache Airflow

dbt

Python

PostgreSQL

DynamoDB

Snowflake

Databricks

AWS

Job description

Moody’s Corporation is seeking a data engineer to design and maintain highly scalable data pipelines powering Moody’s digital content platform in a cloud environment. You will work with analytics and product teams to translate data needs into robust solutions.

The role emphasizes collaboration, governance, and scalable data architectures, with opportunities to mentor others and contribute to AI-assisted development practices across Moody’s engineering teams.