Senior Software Engineer - Data Engineering

Moody; Manchester; On-site; USD 93,708 - 127,175; Full time

Job summary

Moody’s is seeking an experienced Data Engineer to design, build, and maintain 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, driving platform optimizations and cross-functional collaboration.

In this role, you’ll collaborate with product owners and engineering teams, ensure data quality and governance, and mentor colleagues through code reviews and workshops.

Qualifications

• 3+ years of experience in data engineering or software development.
• Design, build and maintain scalable data pipelines.
• Hands-on experience with Apache Airflow, dbt and Python.
• Strong database skills: PostgreSQL, DynamoDB, Snowflake, Databricks.
• Experience collaborating with Agile teams and stakeholders.
• Experience applying AI-assisted development tools to improve productivity.
• Understanding data engineering for AI/ML workloads: governance, quality, lineage, scalability.

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 during design and implementation.
• 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

ETL pipelines

Airflow

dbt

Python

PostgreSQL

DynamoDB

Snowflake

Databricks

Agile

AI-assisted tooling

AI/ML data workflows

Data quality/governance

Education

Bachelor’s degree or equivalent

Master’s degree is a plus

Tools

AWS

Databricks

Snowflake

Job description

Requisition ID14208-Posted07/15/2026-Manchester - 55 Princess Street

We unite the brightest minds to turn today’s risks into tomorrow’s opportunities. We strive to create an inclusive environment where everyone feels welcome to be who they are—freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody’s is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we’re advancing AI to move from insight to action—enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence.

Skills and Competencies

• 3+ 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
• Hands‑on experience with Apache Airflow, dbt, and Python
• Strong database skills with Postgres SQL, DynamoDB, Snowflake, and Databricks
• Experience collaborating with Agile teams, product owners, and cross‑functional stakeholders, with strong communication skills for both technical and non‑technical audiences
• Experience applying AI‑assisted development tools (e.g., GitHub Copilot, generative AI coding assistants) to improve engineering productivity, code quality, and delivery efficiency
• Understanding of data engineering considerations for AI and machine learning workloads, including data quality, governance, lineage, and scalability requirements

Education

• Bachelor’s degree or equivalent experience; Master’s degree is a plus

Responsibilities

In this role, you will design, build, and support highly scalable data engineering solutions that power Moody’s next‑generation digital content platform.

• 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

About the Team

The Digital Content & Innovations Data Engineering team is a collaborative, forward‑thinking group focused on building highly available, cloud‑native data solutions that power Moody’s digital content ecosystem. The team partners closely with multiple engineering and product teams to drive modernization, implement scalable architectures, and deliver innovative solutions that enable reliable, high‑quality content experiences for users.

Moody’s is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law.

Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody’s Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.