Software Engineer - Data Engineering

Skip to main content Go to homepage Menu Saved Jobs (0) EN Filter Languages English English Canadian Français Canadian French View all jobs Search Jobs Find jobs for Location Radius miles 5 miles 15 miles 25 miles 35 miles 50 miles Search Software Engineer - Data Engineering Greater Manchester, England Apply now Save job Posted 07/15/2026 Job reference 14209 Experience level Experienced Hire Job category Engineering & Technology Line of business DC&I At Moody's, we unite the brightest minds to turn today’s risks into tomorrow’s opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are—with the 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.If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. Skills and Competencies1+ years of experience within a data engineering or software development teamHands-on experience designing and developing data integration/ETL pipelines from diverse data sources and formatsHands-on experience with Apache Airflow, dbt, and PythonStrong database skills with Postgres SQL, DynamoDB, Snowflake, and DatabricksExperience collaborating with Agile teams, product owners, and cross-functional stakeholders, with strong communication skills for both technical and non-technical audiencesAwareness of AI-assisted development tools (e.g., GitHub Copilot, generative AI coding assistants) to improve engineering productivity, code quality, and delivery efficiencyUnderstanding of data engineering considerations for AI and machine learning workloads, including data quality, governance, lineage, and scalability requirements Education Bachelor’s degree or equivalet 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 AWSSupport platform optimization, infrastructure improvements, process control enhancements, and system upgradesCollaborate with Moody’s technical teams and business partners throughout design and implementation phasesEngage cross-functional teams to understand data requirements and deliver scalable solutionsEducate 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 across Moody's Moody’s is an equal opportunity employer. All qualified...