At a Glance
- Tasks: Design and build scalable data pipelines for cutting-edge digital content.
- Company: Moody's Investors Service, a leader in financial intelligence.
- Benefits: Competitive salary, flexible working options, and career development opportunities.
- Other info: Exciting projects in a fast-paced environment with growth potential.
- Why this job: Join a dynamic team and shape the future of data-driven decision-making.
- Qualifications: Experience with data engineering tools and strong collaboration skills.
The predicted salary is between 60000 - 80000 £ per year.
Moody's Investors Service in Manchester is seeking a data engineer to design, build, and support scalable data pipelines powering Moody’s next‑generation digital content platform.
You will work with DataBricks, Snowflake, Apache Airflow, dbt (SQL), and Python within AWS, collaborating with cross‑functional teams to understand data requirements and deliver reliable, high‑quality data solutions that enable faster, more informed decisions.
#J-18808-LjbffrSenior Data Engineer: AI-Driven Data Pipelines in Manchester employer: Moody's Investors Service
At Moody's, we pride ourselves on fostering an inclusive and innovative work environment where every employee is empowered to contribute their unique perspectives. Our commitment to professional growth is evident through our comprehensive graduate programme, which offers hands-on experience across various teams and disciplines, ensuring that you develop the skills necessary for a successful career in risk analytics. Located in a dynamic global hub, you'll be part of a collaborative team dedicated to transforming the insurance landscape while enjoying the benefits of a supportive culture that values integrity and curiosity.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer: AI-Driven Data Pipelines in Manchester
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Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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