Senior Data Specialist

Hackajob Ltd; Salford; On-site; GBP 51,000 - 69,000; Full time

Job summary

Moodys Corporation is hiring in the UK for a data operations role focused on data quality, management, and automation. You will work with large datasets, develop robust ETL pipelines, and apply data governance best practices.

The ideal candidate has 1–3 years of experience, strong SQL and Python skills (Pandas/NumPy), and familiarity with Databricks, Snowflake, or Spark. A relevant bachelor’s degree is required and collaboration with global teams is essential.

Qualifications

• 1-3 years experience in data operations, data management, analytics, or automation.
• Strong SQL proficiency (PostgreSQL/MySQL/SQL Server) for data extraction and reporting.
• Hands-on Python experience with Pandas and NumPy for data manipulation.
• Understanding of data architecture, data modeling, and ETL for data integration and pipeline development.
• Experience implementing data quality frameworks for accuracy and completeness of datasets.
• Strong communication and problem-solving to collaborate across global teams.
• Familiarity with Databricks, Spark, Snowflake or similar technologies.
• Ability to communicate technical concepts to non-technical stakeholders.
• Interest in AI concepts and responsible AI practices.

Responsibilities

• Support and enhance data quality and operations across multiple sources, ensuring reliable, scalable 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, including Sales, Product, and 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

SQL proficiency

Python (Pandas/NumPy)

Data architecture

Data modeling

ETL processes

Data quality

Communication

AI concepts

Education

Bachelor's degree in Computer Science, Data Science, Information Systems, or related field

Tools

Databricks

Snowflake

Spark

MySQL

PostgreSQL

SQL

Python

NumPy

Pandas

Job description

Salary: £60,000 - 60,000 per year

Requirements:

• We are looking for candidates with 1-3 years experience in data operations, data management, analytics, or automation, enabling effective handling and transformation of large datasets.
• We need strong SQL proficiency, such as PostgreSQL, MySQL, or SQL Server, to extract, transform, and optimize data for reporting and operational use.
• We expect hands-on Python experience with Pandas and NumPy for data manipulation and analysis, supporting scalable data workflows.
• We look for understanding of data architecture, data modeling, and ETL processes to ensure efficient data integration and pipeline development.
• We value experience implementing data quality frameworks to ensure accuracy, consistency, and completeness of datasets.
• We need 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 is preferred.
• We want candidates who can 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, is important.
• We are looking for interest in exploring AI systems and a willingness to develop awareness of responsible AI practices, including risk management and ethical use.
• We require a bachelors degree in Computer Science, Data Science, Information Systems, or a related field.

Responsibilities:

• We support and enhance data quality and operations across multiple sources, ensuring reliable, scalable, and efficient data delivery.
• We develop and execute processes to monitor, manage, and improve data quality across datasets.
• We design and implement data deduplication frameworks to improve data accuracy and usability.
• We analyze and optimize data operations workflows, identifying automation opportunities to increase efficiency.
• We collaborate with cross-functional teams, including Sales, Product, and Technology, to align data solutions with business needs.
• We support stakeholders by delivering data insights and responding to data-related queries.
• We contribute to the development and enhancement of enterprise data platforms, ensuring integrity and scalability.
• We maintain best practices in data governance, data modeling, and pipeline optimization.

Technologies:

• AI
• Databricks
• ETL
• Support
• MySQL
• PostgreSQL
• Python
• SQL
• Snowflake
• Spark
• numpy
• pandas

More:

We are Moodys Corporation, a global leader in ratings and integrated risk assessment, and we are partnering with hackajob to hire for this role. Our mission is to turn todays risks into tomorrows opportunities by advancing AI and helping clients navigate uncertainty with clarity, speed, and confidence. Our Data Estate team delivers high-quality, mission-critical data that powers decision-making across global markets through flagship platforms such as Orbis. We value an inclusive environment where everyone feels welcome, can exchange ideas, and can think innovatively. We are an equal opportunity employer, and all qualified applicants will receive consideration without regard to protected characteristics. Employment may be contingent on compliance with Moodys Policy for Securities Trading and related position requirements.

last updated 38 week of 2026