At a Glance
- Tasks: Design and build scalable data pipelines for Moody's digital content platform.
- Company: Join Moody's Corporation, a leader in financial intelligence and analytics.
- Benefits: Enjoy competitive pay, flexible work options, and opportunities for growth.
- Other info: Collaborative environment with mentorship through code reviews and documentation.
- Why this job: Make an impact by transforming data into actionable insights with cutting-edge tools.
- Qualifications: Experience with ETL processes, Python, and cloud technologies like AWS.
The predicted salary is between 50000 - 70000 £ per year.
Moody's Corporation is seeking a data engineer to design, build, and support scalable data pipelines powering Moody's digital content platform.
You will work with Airflow, dbt, Python, and Databricks/Snowflake in AWS, collaborating with product owners and cross-functional teams to turn data requirements into scalable solutions.
The role emphasizes mentorship through code reviews and documentation.
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Data Engineer: Scalable ETL & Cloud Pipelines 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.
