At a Glance
- Tasks: Design and build innovative data solutions on the Databricks Lakehouse Platform.
- 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: Be part of a dynamic team focused on responsible AI and data modernization.
- Why this job: Make an impact with cutting-edge AI and data technologies in a collaborative environment.
- Qualifications: Experience in data engineering and proficiency in Apache Spark, SQL, and Python.
The predicted salary is between 63000 - 77000 £ per year.
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.
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 in London employer: Moody
Moody's is an exceptional employer that fosters a collaborative and dynamic work culture in the heart of London. With a strong emphasis on employee growth, we offer comprehensive training and development opportunities, ensuring that our team members can advance their careers while contributing to meaningful financial assessments. Our commitment to diversity and inclusion, coupled with competitive benefits, makes Moody's a rewarding place to work for those passionate about finance and ratings operations.
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We think this is how you could land Databricks Solution Engineer in London
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We think you need these skills to ace Databricks Solution Engineer in London
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
✨Brush Up on Your Statistics
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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.
