Netrolynx AI
Data Engineer
How your CV stacks up
Upload your CV to see how well it fits this job role
?%
About The Company
Moody's Corporation is a globally recognized leader in credit rating, research, and risk analysis. With a rich history spanning over a century, Moody's provides essential credit opinions, data, and analytics that help organizations make informed decisions. The company is committed to fostering transparency, integrity, and innovation in the financial services industry. Moody's continuously invests in technological advancements and data-driven solutions to enhance its offerings and maintain its position as a trusted partner for clients worldwide.
About The Role
We are seeking a talented Data Engineer to join Moody's Digital Content & Innovations Data Engineering team. In this role, you will be instrumental in designing, developing, and maintaining scalable data pipelines and infrastructure that support Moody's next-generation digital content platform. Your expertise will enable the organization to leverage vast amounts of data efficiently, ensuring high-quality content delivery and innovative analytics capabilities. This position offers an exciting opportunity to work at the forefront of data engineering, contributing to transformative projects within a dynamic, collaborative environment.
Qualifications
- Bachelor's degree or equivalent experience in Computer Science, Data Science, Engineering, or related field; a Master's degree is a plus.
- At least 1 year 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.
- Proficiency with Apache Airflow, dbt, and Python for data pipeline orchestration and development.
- Strong database skills with experience in Postgres SQL, DynamoDB, Snowflake, and Databricks.
- Experience collaborating with Agile teams, product owners, and cross-functional stakeholders, with excellent communication skills for both technical and non-technical audiences.
- Awareness of AI-assisted development tools such as GitHub Copilot and generative AI coding assistants to enhance productivity and code quality.
- Understanding of data engineering considerations for AI and machine learning workloads, including data quality, governance, lineage, and scalability requirements.
Reasons to use Rodeo
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
It searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Responsibilities
In this role, you will be responsible for designing, building, and supporting highly scalable data engineering solutions that underpin Moody's digital content platform. Your key responsibilities include:
- Designing, developing, and maintaining scalable data pipelines using DataBricks, Snowflake, Apache Airflow, dbt (SQL), and Python within AWS cloud environment.
- Supporting platform optimization, infrastructure enhancements, process control improvements, and system upgrades to ensure high performance and reliability.
- Collaborating closely with Moody's technical teams and business partners throughout the design and implementation phases to ensure alignment with organizational goals.
- Engaging with cross-functional teams to understand data requirements and delivering scalable, efficient solutions that meet business needs.
- Providing mentorship and guidance through code reviews, documentation, and conducting workshops to foster team growth and knowledge sharing.
Get help with your application
Your very own career expert that helps elevate your application to the next level.
Benefits
Moody's offers a comprehensive benefits package designed to support the well-being and professional growth of its employees. This includes competitive salary packages, health insurance plans, retirement savings programs, and paid time off. Employees also have access to continuous learning opportunities, professional development resources, and a collaborative work environment that promotes innovation and inclusion. Moody's values work-life balance and provides flexible working arrangements to accommodate diverse needs.
Equal Opportunity
Moody's Corporation is an equal opportunity employer committed to fostering a diverse and inclusive workplace. We do not discriminate based on race, ethnicity, gender, age, sexual orientation, disability, or any other protected characteristic. We believe that diverse perspectives drive innovation and excellence, and we are dedicated to providing equal employment opportunities to all qualified candidates.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
Skills
Location