Data Engineer

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 engineeringStrong programming skills in Python, SQL, and PySparkExperience in building agentic AI workflows is a plusInterest in learning and working with Agentic AI frameworks such as LangChain, Copilot Studio, and Microsoft AI servicesFamiliarity with version control systems (Git) and CI/CD pipelinesSolid understanding of SDLC processes and Agile methodologiesStrong analytical and problem-solving skills, with a curious and self-learning mindsetGood communication skills, with the ability to work effectively in a team and understand business objectivesDemonstrated 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 platformWrite clean, maintainable, and well-documented code in SQL, Python, and PySparkBuild and optimize data models, transformations, and ingestion processes for both batch and incremental workloadsTroubleshoot and resolve issues in data pipelines and implement reliable, performant solutionsParticipate in code reviews and ensure adherence to secure coding standards and engineering best practicesCollaborate with business and technical stakeholders to translate requirements into data solutionsContribute to CI/CD processes and manage code repositories in GitHub or Azure DevOpsSupport 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.