Data Engineer: AI-Powered Pipelines on AWS & Snowflake

PassFort; Manchester; On-site; GBP 65,000 - 90,000; Full time

Job summary

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

You will develop data workflows using Databricks, Snowflake, Apache Airflow, dbt (SQL), and Python within AWS to turn diverse data sources into reliable analytics. You will collaborate with cross-functional teams and mentor peers to improve data quality and governance.

Qualifications

• Bachelor’s degree or equivalent experience; Master’s degree is a plus.
• 1+ years of experience in data engineering or software development.
• Hands-on experience designing and developing data integration/ETL pipelines from diverse data sources and formats.
• Experience with Apache Airflow, dbt, and Python.
• Strong database skills with Postgres SQL, DynamoDB, Snowflake, and Databricks.

Responsibilities

• Design, build, 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

ETL design

Python coding

Data integration

Agile collaboration

Technical communication

AI tooling awareness

Education

Bachelor’s degree or equivalent experience

Tools

Apache Airflow

dbt

Databricks

Snowflake

PostgreSQL

DynamoDB

Databricks

Job description

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

You will develop data workflows using Databricks, Snowflake, Apache Airflow, dbt (SQL), and Python within AWS to turn diverse data sources into reliable analytics. You will collaborate with cross-functional teams and mentor peers to improve data quality and governance.