Senior Data Operations & Quality 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

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.