Senior Databricks AI & Analytics Solutions Engineer

Moody; Greater London; On-site; GBP 110,000 - 140,000; Full time

Job summary

Moody’s is seeking a Databricks Solution Engineer to design, build, and support scalable data, analytics, and AI solutions on the Databricks Lakehouse Platform. You will work with enterprise stakeholders to translate requirements into scalable, cost-efficient data products.

The role requires 6+ years in data/analytics engineering, 4+ years on Databricks, and strong Spark, SQL, Python skills. You will integrate Salesforce, Power BI, Snowflake, and Fabric, while advancing CI/CD, governance, and

Qualifications

• 6+ years in data engineering, analytics engineering, solution engineering, or related disciplines within enterprise environments.
• 4+ years 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/ELT pipelines for scalable analytics and AI use cases.
• Knowledge of data modeling, governance, quality, and enterprise data architecture principles.
• Experience integrating Salesforce, Power BI, Snowflake, and Microsoft Fabric.
• Working knowledge of Git, CI/CD, DevOps, and automation frameworks.
• Proficient in AI concepts with hands-on AI tools to streamline workflows and responsible AI practices.

Responsibilities

• Design, build, and support scalable data and analytics solutions on the Databricks Lakehouse Platform.
• Design and implement scalable data and analytics solutions using Databricks technologies.
• Build, maintain, and optimize data pipelines with Spark, SQL, Python, and Delta Lake.
• Develop governed datasets and data products for reporting, analytics, and AI initiatives.
• Partner with business and tech teams to translate requirements into scalable solutions.
• Implement best practices for performance, security, data quality, compliance, and governance.
• Support integration of enterprise platforms including Salesforce, Power BI, Snowflake, Fabric, and other apps.
• Contribute to platform standards via automation, CI/CD, and DevOps initiatives.
• Monitor and optimize solution performance for reliability and scalability.

Skills

Data engineering

Analytics engineering

Solution engineering

Apache Spark

SQL

Python

Delta Lake

AI concepts

Education

Bachelor's degree in Computer Science or related field

Databricks Data Engineer Associate certification or higher preferred

Tools

Databricks Lakehouse Platform

Salesforce

Microsoft Power BI

Snowflake

Microsoft Fabric

Git

Job description

Moody’s is seeking a Databricks Solution Engineer to design, build, and support scalable data, analytics, and AI solutions on the Databricks Lakehouse Platform. You will work with enterprise stakeholders to translate requirements into scalable, cost-efficient data products.

The role requires 6+ years in data/analytics engineering, 4+ years on Databricks, and strong Spark, SQL, Python skills. You will integrate Salesforce, Power BI, Snowflake, and Fabric, while advancing CI/CD, governance, and