Senior Data Engineer - AI-Powered Pipelines

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

Job summary

Moody's is seeking a data engineer to design, build, and support scalable data pipelines that power our next-generation digital content platform in Manchester.

You will work with Apache Airflow, dbt and Python on AWS, collaborate across cross-functional teams, ensure data quality and governance, and mentor peers through code reviews and documentation.

Join a collaborative, AI-focused team dedicated to modernizing data architectures with cloud-native solutions and scalable systems.

Qualifications

• 3+ years in data engineering or software development.
• Experience building data integration/ETL pipelines from diverse sources.
• Hands-on with Airflow, dbt, and Python.
• Strong SQL skills with relational and NoSQL databases.
• Experience collaborating with Agile teams and stakeholders.
• Familiar with AI-assisted development tools like GitHub Copilot.

Responsibilities

• Design, build, and support scalable data pipelines in AWS.
• Collaborate with teams to define data requirements and deliver solutions.
• Drive platform optimization and infrastructure improvements.
• Mentor teammates through code reviews and documentation.
• Honor data quality, governance, and scalability considerations.

Skills

ETL pipelines

Apache Airflow

dbt

Python

PostgreSQL

DynamoDB

Snowflake

Databricks

AI tooling

Agile teamwork

Data governance

Education

Bachelor’s degree or equivalent

Master’s degree is a plus

Tools

Apache Airflow

dbt

Python

Snowflake

Databricks

PostgreSQL

DynamoDB

Job description

Moody's is seeking a data engineer to design, build, and support scalable data pipelines that power our next-generation digital content platform in Manchester.

You will work with Apache Airflow, dbt and Python on AWS, collaborate across cross-functional teams, ensure data quality and governance, and mentor peers through code reviews and documentation.

Join a collaborative, AI-focused team dedicated to modernizing data architectures with cloud-native solutions and scalable systems.