Senior Data Engineer - AI-Driven Data Pipelines

Moody's Corporation; Manchester; On-site; GBP 70,000 - 110,000; Full time

Job summary

Moody's Corporation is seeking a skilled Data Engineer to design, build, and scale data pipelines powering its next‑generation digital content platform. You will work with DataBricks, Snowflake, Apache Airflow, dbt and Python within AWS to deliver robust, scalable solutions.

The role emphasizes collaboration with product teams and strong data governance, quality and documentation. You will join a talented data engineering team focused on AI-forward insights and modern cloud-native architectures,

Qualifications

• Bachelor's degree or equivalent experience; Master's degree is a plus.
• 3+ years in data engineering or software development with ETL focus.

Responsibilities

• Design, build, and support scalable data engineering solutions powering Moody's digital content platform.
• Design and maintain data pipelines using DataBricks, Snowflake, Airflow, dbt (SQL) and Python in AWS.
• Collaborate with technical teams and business partners through design and implementation phases.
• Engage cross-functional teams to understand data requirements and deliver scalable solutions.
• Educate and mentor colleagues via code reviews, documentation, and workshops.

Skills

Data engineering

ETL pipelines

Apache Airflow

dbt

Python

AI-assisted tooling

Stakeholder communication

Education

Bachelor's degree

Master's degree a plus

Tools

Postgres SQL

DynamoDB

Snowflake

Databricks

Job description

Moody's Corporation is seeking a skilled Data Engineer to design, build, and scale data pipelines powering its next‑generation digital content platform. You will work with DataBricks, Snowflake, Apache Airflow, dbt and Python within AWS to deliver robust, scalable solutions.

The role emphasizes collaboration with product teams and strong data governance, quality and documentation. You will join a talented data engineering team focused on AI-forward insights and modern cloud-native architectures,