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: Be part of a forward-thinking team driving modernization and innovation.
- Why this job: Make an impact by working on innovative data solutions in a collaborative environment.
- Qualifications: 1+ years in data engineering, strong skills in Python, SQL, and cloud technologies.
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+ years 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 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.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Moody's Corporation!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Engineer at Moody's Corporation.
✨Leverage Professional Networks
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 Corporation.
✨Apply Directly through Our Website
When you find a suitable opening like Data Engineer at Moody's Corporation, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Engineer
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!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Moody's Corporation, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
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 Corporation. 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!
How to prepare for a job interview at Moody's Corporation
✨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!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Moody's Corporation!
✨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.
