Skip to main content
Moody's
Saved Jobs (0)

View all jobs

Data Engineer

Vilnius, Lithuania

Apply now
Posted
08/11/2026
Job reference
14662
Experience level
Experienced Hire
Job category
Engineering & Technology
Line of business
Technology Services Group

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
  • 3–5 years of software development experience, ideally with exposure to cloud-based data engineering
  • Strong programming skills in Python, SQL, and PySpark
  • Experience in building agentic AI workflows is a plus
  • Interest in learning and working with Agentic AI frameworks such as LangChain, Copilot Studio, and Microsoft AI services
  • Familiarity with version control systems (Git) and CI/CD pipelines
  • Solid understanding of SDLC processes and Agile methodologies
  • Strong analytical and problem-solving skills, with a curious and self-learning mindset
  • Good communication skills, with the ability to work effectively in a team and understand business objectives
  • Demonstrated proficiency in artificial intelligence concepts, with hands-on experience using AI tools to streamline workflows and enhance operational efficiency. Proven ability to implement AI-powered solutions to solve business challenges. Demonstrates a growing awareness of AI risk management and a commitment to responsible and ethical AI practices.
Education
  • Bachelor’s degree in Computer Science, Software Engineering, or a related technical field
Responsibilities
Support the design, development, and optimization of cloud-based data solutions while contributing to scalable engineering practices and AI-enabled innovation initiatives.
  • Develop, maintain, and optimize data pipelines and data solutions on a modern cloud data platform
  • Write clean, maintainable, and well-documented code in SQL, Python, and PySpark
  • Build and optimize data models, transformations, and ingestion processes for both batch and incremental workloads
  • Troubleshoot and resolve issues in data pipelines and implement reliable, performant solutions
  • Participate in code reviews and ensure adherence to secure coding standards and engineering best practices
  • Collaborate with business and technical stakeholders to translate requirements into data solutions
  • Contribute to CI/CD processes and manage code repositories in GitHub or Azure DevOps
  • Support knowledge sharing within the team around data engineering best practices
About the Team
The Corporate Systems team, part of the Technology Services Group, supports Moody’s core business and technology operations by enabling reliable day-to-day execution, strong coordination, and effective governance across corporate platforms and shared services. The team partners closely with senior leaders, product teams, and stakeholders across the enterprise to drive operational excellence while advancing innovation, including the adoption and enablement of AI-driven capabilities. By bringing structure, clarity, and rigor to complex environments, team members contribute to high-impact work that improves how technology is delivered, operated, and evolved across the organization, helping ensure Moody’s systems remain resilient, forward-looking, and positioned for continued growth.

Annual base salary gross: €44,200.00 to €70,800.00. Applicable to Lithuania candidates: The base salary range represents the low and high end of the Moody’s salary range for this position. Actual salaries will vary and will be based on various factors, such as candidate’s qualifications, skills, and competencies. The salary is one component of Moody’s total compensation package for employees. Other rewards and benefits include the following: Medical, Personal Accident, Life Insurance and Time Off.

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.

Apply now

Jobs for you

You have not saved any jobs yet.

You have not viewed any jobs yet.

Stay connected

Join our talent community

Don’t see a position for you? Submit your information to be considered for a future role as they become available.

Already a member?

Interest InPlease select a category or location. Click Add to create your job alert.