At a Glance
- Tasks: Design and build scalable AI-driven data solutions on the Databricks Lakehouse Platform.
- Company: Join Moody’s Investors Service, a leader in data analytics.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Be part of a dynamic team driving cutting-edge data solutions.
- Why this job: Make an impact by crafting innovative data pipelines and products.
- Qualifications: 6+ years in data engineering with strong skills in Spark, SQL, Python, and Databricks.
The predicted salary is between 63000 - 77000 £ per year.
Moody’s Investors Service is seeking a senior data/analytics engineer to design, build, and support scalable AI-enabled data solutions on the Databricks Lakehouse Platform.
You will craft end-to-end data pipelines, governance, and data products to empower reporting and insights.
The role requires 6+ years in data/analytics engineering and hands-on Databricks experience, plus strong Spark, SQL, Python, and Delta Lake skills.
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Databricks Lakehouse Engineer - AI-Driven Data Solutions employer: Moody's Investors Service
At Moody's, we pride ourselves on fostering a dynamic and inclusive work environment where innovation thrives. As a leader in risk assessment, we offer our employees unparalleled opportunities for growth and collaboration, particularly in the exciting realm of AI and pricing strategy. Joining our Central Product Strategy team means being at the forefront of transformative projects that not only shape the future of pricing but also empower you to make a meaningful impact within a global organisation.
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We think you need these skills to ace Databricks Lakehouse Engineer - AI-Driven Data Solutions
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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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Moody's Investors Service. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
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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.
