Location
London

Hours
Full Time

Salary
Negotiable

About the Role
As a Databricks Solution Engineer at Moody's, you will design, build, and support scalable data, analytics, and artificial intelligence solutions on the Databricks Lakehouse Platform. You will leverage your expertise in Apache Spark, SQL, Python, and Delta Lake to develop and optimize data pipelines that support advanced analytics and AI use cases. Collaborating closely with business stakeholders and technical teams, you will translate requirements into cost-effective, scalable solutions while implementing best practices for performance, security, data quality, compliance, and governance. You will also support integration with enterprise platforms such as Salesforce, Microsoft Power BI, Snowflake, and Microsoft Fabric, contributing to platform standards through automation, continuous integration, continuous delivery, and DevOps initiatives. This role offers the opportunity to work within a dynamic Data and Analytics team focused on delivering trusted, innovative data products and driving responsible AI innovation across Moody’s organization.

Experience
6+ years in Data Engineering, Analytics Engineering, Solution Engineering, or related disciplines within enterprise environments.
4+ years 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 ETL and ELT data pipelines for scalable analytics and AI use cases.
Proven knowledge of data modeling, data governance, data quality management, and enterprise data architecture principles.
Experience integrating cloud and SaaS platforms such as Salesforce, Microsoft Power BI, Snowflake, and Microsoft Fabric.
Working knowledge of Git, CI/CD pipelines, DevOps practices, and automation frameworks.
Demonstrated proficiency in AI concepts with hands-on experience using AI tools to streamline workflows and enhance operational efficiency.
Awareness of AI risk management and commitment to responsible and ethical AI use.

About you
Excellent communication, collaboration, and stakeholder management skills.
Ability to translate complex business requirements into technical solutions.
Proactive and detail-oriented with a strong focus on operational excellence and innovation.

Qualifications
Bachelor's degree or equivalent in Computer Science, Information Systems, Data Engineering, Software Engineering, or related field.
Databricks Data Engineer Associate certification or higher preferred.
Databricks Generative AI Engineer Associate certification preferred.