At a Glance
- Tasks: Design and build innovative data solutions using Databricks technologies.
- Company: Join a leading analytics team at Moody's, driving data innovation.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Collaborative environment focused on responsible AI and data modernization.
- Why this job: Make an impact with cutting-edge AI and data engineering projects.
- Qualifications: Experience in data engineering and proficiency in Apache Spark, SQL, and Python.
The predicted salary is between 72000 - 88000 £ per year.
Skills And Competencies
- 6+ years of experience in Data Engineering, Analytics Engineering, Solution Engineering, or related disciplines within enterprise environments
- 4+ years of hands-on experience designing and implementing solutions on the Databricks Lakehouse Platform
- Strong expertise in Apache Spark, SQL, Python, Delta Lake, and modern data engineering practices
- Experience building and optimizing Extract, Transform, Load and Extract, Load, Transform data pipelines for scalable analytics and artificial intelligence use cases
- Proven knowledge of data modeling, data governance, data quality management, and enterprise data architecture principles
- Experience integrating cloud and software-as-a-service platforms such as Salesforce, Microsoft Power BI, Snowflake, and Microsoft Fabric
- Working knowledge of Git, continuous integration and continuous delivery pipelines, DevOps practices, and automation frameworks
- Demonstrated proficiency in artificial intelligence concepts, with hands-on experience using AI tools to streamline workflows and enhance operational efficiency
- Proven ability to implement AI-powered solutions to solve business challenges
- Demonstrates a growing awareness of AI risk management and a commitment to responsible and ethical AI use
- Excellent communication, collaboration, and stakeholder management skills with the ability to translate business requirements into technical solutions
Education
- Bachelor's degree or equivalent qualification in Computer Science, Information Systems, Data Engineering, Software Engineering, or a related field
- Databricks Data Engineer Associate certification or higher preferred
- Databricks Generative AI Engineer Associate certification preferred
Responsibilities
- Design, build, and support scalable data, analytics, and artificial intelligence solutions on the Databricks Lakehouse Platform
- Design and implement scalable data and analytics solutions leveraging Databricks technologies
- Build, maintain, and optimize data pipelines using Apache Spark, SQL, Python, and Delta Lake
- Develop governed datasets and data products that support reporting, analytics, and artificial intelligence initiatives
- Partner with business stakeholders and technical teams to translate requirements into cost-effective and scalable solutions
- Implement best practices for performance optimization, security, data quality, compliance, and governance
- Support integration of enterprise platforms including Salesforce, Microsoft Power BI, Snowflake, Microsoft Fabric, and other business applications
- Contribute to platform standards through automation, continuous integration and continuous delivery practices, and DevOps initiatives
- Monitor, troubleshoot, and enhance solution performance to ensure reliability, scalability, and operational excellence
About The Team
Our Data and Analytics team is responsible for delivering trusted, scalable, and innovative data solutions that enable informed decision-making across Moody's. The team partners closely with business and technology stakeholders to build modern data products, advance analytics capabilities, and drive the adoption of artificial intelligence technologies. By joining this team, you will contribute to high-impact initiatives focused on data modernization, operational efficiency, and responsible AI innovation across the organization.
Databricks Solution Engineer employer: PassFort
Moody's Corporation is an exceptional employer, offering a dynamic work environment that fosters innovation and strategic growth in the financial sector. With a strong commitment to employee development, you will have access to unique opportunities for professional advancement while engaging with key stakeholders across the Middle East. Our inclusive culture values diverse perspectives and encourages collaboration, making it an ideal place for those looking to make a meaningful impact in the credit rating industry.
StudySmarter Expert Advice🤫
We think this is how you could land Databricks Solution 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 PassFort!
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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 PassFort.
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We think you need these skills to ace Databricks Solution 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 PassFort, 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 PassFort. 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 PassFort
✨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 PassFort!
✨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.
