Senior Data Specialist

DataScientistJobs; Salford; On-site; GBP 42,000 - 64,000; Full time

Job summary

Moody's is hiring a Senior Data Specialist in Manchester, UK, to enhance data quality and operations across multiple sources. You will work with SQL, Python, and ETL processes to enable scalable data delivery and actionable insights.

The role focuses on data architecture, governance, and collaboration with Sales, Product, and Technology teams to drive efficient data solutions and responsible AI practices.

Qualifications

• 1–3 years in data operations, data management, analytics, or automation.
• Strong SQL to extract, transform, and optimize data for reporting.
• Hands-on Python (Pandas, NumPy) for data manipulation.
• Knowledge of ETL, data architecture, and data modeling.
• Experience with data quality frameworks and governance.

Responsibilities

• 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.

Skills

Data ops

SQL

Python

ETL

Data modeling

Data quality

Databricks

Spark

Snowflake

Communication

AI awareness

Education

Bachelor's degree

Tools

Databricks

Spark

Snowflake

Job description

Put your data science role in front of the right audience — Post your job

Senior Data Specialist

Organisation Moody's

Organisation Moody's Locations

Manchester, UK

Application Deadline 29 days remaining

• 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
• Basic understanding of artificial intelligence concepts, with curiosity and enthusiasm for learning how AI tools can be used to improve processes and drive efficiency
• Interest in exploring AI systems and a willingness to develop awareness of responsible AI practices, including risk management and ethical use

Education

• Bachelor’s degree in Computer Science, Data Science, Information Systems, or a related field

Responsibilities

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

About The Team

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.

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.