At a Glance
- Tasks: Design and build scalable data pipelines for our digital content platform.
- Company: Join Moody's Investors Service, a leader in financial intelligence.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborative environment with mentorship opportunities and a focus on data quality.
- Why this job: Be at the forefront of AI and cloud technologies while making a real impact.
- Qualifications: Experience with data engineering tools like Python, Apache Airflow, and dbt.
Moody's Investors Service in Manchester is seeking a data engineer to design, build, and maintain scalable data pipelines powering our digital content platform. You will work with Apache Airflow, dbt, Python, and cloud technologies to deliver reliable data solutions.
You will collaborate with cross‑functional teams, mentor peers through code reviews and documentation, and contribute to data governance, quality, and scalability across AI workloads.
#J-18808-LjbffrData Engineer: AI-Ready Pipelines & Cloud DataOps 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 Data Engineer: AI-Ready Pipelines & Cloud DataOps in Manchester
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Moody's Investors Service.
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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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How to prepare for a job interview at Moody's Investors Service
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
