Hackajob
Manchester / Global
You have blocked notifications
Oops! You have blocked notifications. Click here for more info
You have blocked notifications, please check your browser settings.
You're currently subscribed to job notifications
Subscribe to notifications
You will no longer receive notifications
Manchester / Global
hackajob is partnering directly with Moody's Corporation to hire for this role.
At Moody's, we unite the brightest minds to turn todays risks into tomorrows opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they arewith the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moodys is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, were advancing AI to move from insight to actionenabling 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 Competencies
1+ 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
Awareness of 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
Bachelors degree or equivalet experience; Masters degree is a plus
Responsibilities
In this role, you will design, build, and support highly scalable data engineering solutions that power Moodys next-generation digital content platform.
Design, develop, and maintain scalable data pipelines usi...
Bolton, Greater Manchester / Global
Manchester / Global
Manchester / Global
Manchester / Global
Warrington, Cheshire / Global
Manchester / Global