> Markdown version of [/jobs/ext/4016915-senior-software-engineer-data-engineering](https://www.wearedevelopers.com/jobs/ext/4016915-senior-software-engineer-data-engineering). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Software Engineer - Data Engineering - **Company:** Moody's - **Location:** Manchester, United Kingdom - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Agile Methodology, Artificial Intelligence, Airflow, Amazon Web Services, Software Code Optimization, Software Quality, Code Review, Databases, Information Engineering, Data Integration, Extract Transform Load (ETL), Digital Content, Amazon DynamoDB, Python (Programming Language), PostgreSQL, Software Engineering, SQL Databases, GitHub Copilot, Snowflake, Generative AI, Data Pipelines, Databricks - **Published:** October 30, 2026 - **Apply:** https://www.totaljobs.com/job/senior-software-engineer/moody-s-job108248901 ## About the Role * 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 (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 requirements Education * Bachelor's degree or equivalent experience; Master's degree is a plus ## Description In this role, you will design, build, and support highly scalable data engineering solutions that power Moody's 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 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