Software Engineer - Data Engineering

Moody's Corporation; Bolton; On-site; GBP 60,000 - 90,000; Full time

Job summary

Moody's Corporation in Bolton is seeking a data engineer to design, build and maintain scalable data pipelines powering Moody's next-generation digital content platform. You will design, develop, and maintain pipelines using DataBricks, Snowflake, Apache Airflow, dbt (SQL), and Python within AWS, focusing on data quality and governance.

Collaborate with cross-functional teams and mentor others while advancing AI-enabled development practices and scalable architectures.

Qualifications

• 1+ years of experience within a data engineering or software development team.
• Hands-on experience designing and developing data integration/ETL pipelines from diverse data sources and formats.
• Hands-on experience with Apache Airflow, dbt, and Python.
• Strong database skills with PostgreSQL, DynamoDB, Snowflake, and Databricks.
• Experience collaborating with Agile teams, product owners, and cross-functional stakeholders with strong communication skills.
• Awareness of AI-assisted development tools to improve engineering productivity, code quality, and delivery efficiency.
• Understanding of data engineering considerations for AI/ML workloads, including data quality, governance, lineage, and scalability requirements.
• Bachelor's degree or equivalent experience; Masters degree is a plus.

Responsibilities

• Design, build and support scalable data engineering solutions.
• Design, develop, and maintain scalable data pipelines using DataBricks, Snowflake, Apache Airflow, dbt (SQL), and Python within AWS.
• Support platform optimization, infrastructure improvements, process control enhancements, and system upgrades.
• Collaborate with Moody's technical teams and business partners through design and implementation phases.
• Engage cross-functional teams to understand data requirements and deliver scalable solutions.
• Educate and mentor others through code reviews, documentation, and workshops.

Skills

Data engineering

ETL pipelines

Apache Airflow

dbt

Python

PostgreSQL

DynamoDB

Snowflake

Databricks

Agile teamwork

AI tooling awareness

Data quality governance

Education

Bachelor's degree or equivalent

Masters degree a plus

Tools

Apache Airflow

dbt

Python

PostgreSQL

DynamoDB

Snowflake

Databricks

Job description

Job Descriptionhackajob is partnering directly with Moody's Corporation to hire for this role.At Moody's, we unite the brightest minds to turn todays risks into tomorrows opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they arewith the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moodys is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, were advancing AI to move from insight to actionenabling 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. 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+ years of experience within a data engineering or software development team Hands-on experience designing and developing data integration/ETL pipelines from diverse data sources and formats Hands-on experience with Apache Airflow, dbt, and Python Strong database skills with Postgres SQL, DynamoDB, Snowflake, and Databricks Experience collaborating with Agile teams, product owners, and cross-functional stakeholders, with strong communication skills for both technical and non-technical audiences Awareness of AI-assisted development tools (e.g., GitHub Copilot, generative AI coding assistants) to improve engineering productivity, code quality, and delivery efficiency Understanding of data engineering considerations for AI and machine learning workloads, including data quality, governance, lineage, and scalability requirementsEducation Bachelors degree or

equivalet experience; Masters degree is a plus

Responsibilities

In this role, you will design, build, and support highly scalable data engineering solutions that power Moodys next-generation digital content platform. Design, develop, and maintain scalable data pipelines using DataBricks, Snowflake, Apache Airflow, dbt (SQL), and Python within AWS Support platform optimization, infrastructure improvements, process control enhancements, and system upgrades Collaborate with Moodys technical teams and business partners throughout design and implementation phases Engage cross-functional teams to understand data requirements and deliver scalable solutions Educate and mentor others through code reviews, documentation, and workshops

About the Team

The Digital Content & Innovations Data Engineering team is a collaborative, forward-thinking group focused on building highly available, cloud-native data solutions that power Moodys digital content ecosystem. The team partners closely with multiple

engineering and product teams to drive modernization, implement scalable architectures, and deliver innovative solutions that enable reliable, high-quality content experiences for users across Moody'sMoodys 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 Moodys 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.JBRP1_UKTJ