At a Glance
- Tasks: Design and build scalable data engineering solutions for Moody's digital content platform.
- Company: Join Moody's Corporation, a leader in financial intelligence and analytics.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on mentorship and career advancement.
- Why this job: Be part of a forward-thinking team driving innovation in data engineering.
- Qualifications: 1 year of experience in data engineering or software development; strong skills in Python and SQL.
The predicted salary is between 70000 - 90000 £ per year.
hackajob is collaborating with Moody's Corporation to connect them with exceptional professionals for this role.
Skills and Competencies
- 1 year 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 requirements
Education
- Bachelor’s degree or equivalent experience; Master’s degree is a plus
Responsibilities
- 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
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 Moody’s 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's.
Data Engineer in Manchester employer: Moody's Corporation
Moody's Corporation is an exceptional employer located in the vibrant Greater London area, offering a dynamic work culture that fosters innovation and collaboration. Employees benefit from comprehensive professional development opportunities, a commitment to diversity, and the chance to work on cutting-edge AI transformation projects that make a real impact. Join us to be part of a forward-thinking team that values your contributions and supports your career growth.
