At a Glance
- Tasks: Design and build scalable data engineering solutions for Moody's digital content platform.
- Company: Join Moody's Corporation, a global leader in risk assessment and AI innovation.
- Benefits: Inclusive culture, competitive salary, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on mentorship and continuous learning.
- Why this job: Make an impact by transforming how the world sees risk with cutting-edge technology.
- Qualifications: 3+ years in data engineering, strong skills in Python, SQL, and data integration.
The predicted salary is between 63000 - 77000 £ per year.
hackajob is partnering directly with Moody's Corporation to hire for this role.
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 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, Dynamo DB, 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., Git Hub 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 Data Bricks, 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
Senior Software Engineer - Data Engineering employer: Hackajob Ltd
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