Data Engineer: Build Scalable AI-Ready Data Pipelines

PowerToFly; England; On-site; GBP 50,000 - 80,000; Full time

Job summary

Moody’s Digital Content & Innovations is seeking a data engineer to design, build, and support scalable data pipelines powering Moody’s next‑generation digital content platform.

You will work with DataBricks, Snowflake, Apache Airflow, dbt (SQL), and Python within AWS, collaborating with cross‑functional partners to deliver reliable data solutions and continuously improve platform performance and governance.

Qualifications

• Bachelor’s degree or equivalent experience; Master’s degree is a plus.
• Proficient in building scalable data pipelines in AWS with Databricks and Snowflake.
• Experience designing and developing ETL pipelines from diverse data sources.
• Strong communication with both technical and non-technical audiences.
• Familiarity with AI-assisted development tools to improve engineering 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

Skills

Data engineering experience

ETL pipelines

Apache Airflow

dbt

Python

Postgres SQL

Snowflake

Databricks

AWS

Agile / cross-functional collaboration

AI-assisted tools awareness

Education

Bachelor’s degree or equivalent (Master’s preferred)

Tools

DataBricks

Snowflake

Apache Airflow

dbt

SQL

Python

AWS

Job description

Moody’s Digital Content & Innovations is seeking a data engineer to design, build, and support scalable data pipelines powering Moody’s next‑generation digital content platform.

You will work with DataBricks, Snowflake, Apache Airflow, dbt (SQL), and Python within AWS, collaborating with cross‑functional partners to deliver reliable data solutions and continuously improve platform performance and governance.