At a Glance
- Tasks: Enhance data quality and operations, ensuring reliable data delivery across multiple sources.
- Company: Join Moody's, a global leader in risk assessment and data solutions.
- Benefits: Inclusive culture, competitive salary, and opportunities for professional growth.
- Other info: Collaborative team environment with a focus on innovation and continuous improvement.
- Why this job: Make an impact by transforming data into actionable insights for global clients.
- Qualifications: 1–3 years in data operations, strong SQL and Python skills required.
The predicted salary is between 40000 - 50000 € per year.
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- 1–3 years’ experience in data operations, data management, analytics, or automation, enabling effective handling and transformation of large datasets.
- Strong SQL proficiency (e.g., PostgreSQL, MySQL, SQL Server) to extract, transform, and optimize data for reporting and operational use.
- Hands-on Python experience (Pandas, NumPy) for data manipulation and analysis, supporting scalable data workflows.
- Understanding of data architecture, data modeling, and ETL processes to ensure efficient data integration and pipeline development.
- Experience implementing data quality frameworks to ensure accuracy, consistency, and completeness of datasets.
- Strong communication and problem-solving skills to collaborate across global teams and translate complex data insights into actionable outputs.
- Familiarity with data platforms such as Databricks, Spark, Snowflake, or similar technologies.
- Ability to communicate technical concepts clearly to non‑technical stakeholders.
- Bachelor’s degree in Computer Science, Data Science, Information Systems, or a related field.
- Support and enhance data quality and operations across multiple sources, ensuring reliable, scalable, and efficient data delivery.
- Develop and execute processes to monitor, manage, and improve data quality across datasets.
- Design and implement data deduplication frameworks to improve data accuracy and usability.
- Analyze and optimize data operations workflows, identifying automation opportunities to increase efficiency.
- Collaborate with cross-functional teams (Sales, Product, Technology) to align data solutions with business needs.
- Support stakeholders by delivering data insights and responding to data-related queries.
- Contribute to the development and enhancement of enterprise data platforms, ensuring integrity and scalability.
- Maintain best practices in data governance, data modeling, and pipeline optimization.
Our Data Estate team is responsible for delivering high-quality, mission-critical data that powers decision-making across global markets. We provide comprehensive company data through flagship platforms such as Orbis, we enable clients to access, analyze, and act on complex datasets efficiently, and we drive continuous improvements in data quality, accessibility, and operational excellence. By joining our team, you will contribute to innovative data solutions supporting global customers across industries.
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.
Senior Data Operations & Quality Engineer in Salford employer: Moody's Investors Service
At Moody's, we pride ourselves on fostering an inclusive and innovative work environment where every employee is empowered to contribute their unique perspectives. As a global leader in risk assessment, we offer exceptional opportunities for professional growth and development, alongside a commitment to maintaining the highest standards of data quality and operational excellence. Join us in our mission to transform how the world sees risk, while enjoying the benefits of a collaborative culture that values integrity and curiosity.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Operations & Quality Engineer in Salford
✨Tip Number 1
Network like a pro! Reach out to people in your field on LinkedIn or at industry events. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Prepare for those interviews! Research Moody's and understand their values and mission. We want to see how you can fit into their culture and contribute to their goals, so be ready to share your insights and ideas.
✨Tip Number 3
Show off your skills! If you’ve got experience with SQL or Python, bring examples of your work to the table. We love seeing how you’ve tackled data challenges in the past and how you can apply that to the role.
✨Tip Number 4
Don’t hesitate to apply through our website! Even if you don’t tick every box, we encourage you to throw your hat in the ring. You might just be the perfect fit for the team, and we’re excited to see what you bring!
We think you need these skills to ace Senior Data Operations & Quality Engineer in Salford
Some tips for your application 🫡
Show Your Passion:When writing your application, let your enthusiasm for data operations and quality shine through! We want to see how excited you are about the role and how you can contribute to our mission of turning risks into opportunities.
Tailor Your Experience:Make sure to highlight your relevant experience in data management and analytics. We love seeing how your skills with SQL and Python can help us enhance data quality and operations. Don’t just list your skills—show us how you've used them!
Be Clear and Concise:Keep your application straightforward and to the point. We appreciate clarity, especially when it comes to technical concepts. Remember, we’re looking for someone who can communicate complex ideas effectively, so show us you can do that right from the start!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. Plus, it’s super easy to do!
How to prepare for a job interview at Moody's Investors Service
✨Know Your Data Inside Out
Make sure you brush up on your SQL and Python skills before the interview. Be ready to discuss how you've used these tools in past projects, especially when it comes to data manipulation and analysis. Practising some common SQL queries and Python functions can really help you feel more confident.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled data quality issues or optimised workflows in previous roles. Think about specific challenges you faced and how you approached them. This will demonstrate your analytical thinking and ability to turn complex problems into actionable solutions.
✨Communicate Clearly
Since you'll be working with cross-functional teams, practice explaining technical concepts in simple terms. You might be asked to describe a complex dataset or a data pipeline to someone without a technical background, so being able to communicate effectively is key.
✨Embrace the Company Culture
Familiarise yourself with Moody's values and think about how you can embody them in your responses. Be prepared to discuss how you invest in relationships, lead with curiosity, and champion diverse perspectives. Showing that you align with their culture can set you apart from other candidates.
