Senior Data Engineer for AI-Driven Data Pipelines

PowerToFly; England; On-site; GBP 70,000 - 110,000; Full time

Job summary

Moody’s is seeking a data engineer to design, build, and scale data pipelines powering its next-generation digital content platform. You’ll work with DataBricks, Snowflake, Airflow, dbt (SQL), and Python within AWS to deliver robust data solutions.

Join a collaborative team and contribute to platform optimization, governance, and scalable architectures while mentoring peers and sharing knowledge through reviews and workshops.

Qualifications

• Bachelor’s degree or equivalent experience; Master’s degree is a plus.
• 3+ 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.
• Experience applying AI-assisted development tools 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 requirements.

Responsibilities

• 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 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.

Skills

Data engineering

Python

Apache Airflow

dbt

Snowflake

Data pipelines

AWS

Postgres SQL

Communication

AI-assisted development tools

Education

Bachelor’s degree or equivalent experience

Tools

DataBricks

Snowflake

dbt

Apache Airflow

Python

Job description

Moody’s is seeking a data engineer to design, build, and scale data pipelines powering its next-generation digital content platform. You’ll work with DataBricks, Snowflake, Airflow, dbt (SQL), and Python within AWS to deliver robust data solutions.

Join a collaborative team and contribute to platform optimization, governance, and scalable architectures while mentoring peers and sharing knowledge through reviews and workshops.