Data Engineer: Scalable Pipelines & Cloud

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

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.