Databricks Data & AI Solutions Engineer

PassFort; Greater London; On-site; GBP 70,000 - 110,000; Full time

Job summary

Moody's is seeking a senior Data/Analytics Engineer to design, build, and support scalable data and AI solutions on the Databricks Lakehouse Platform. The role involves developing governed datasets, data products, and robust data pipelines to enable advanced analytics and AI initiatives.

You will collaborate with business stakeholders and technical teams to translate requirements into scalable, cost-efficient solutions, while upholding security, governance, and performance standards across the

Qualifications

• 6+ years of experience in enterprise data roles including data engineering and analytics engineering.
• 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 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 pipelines, DevOps practices, and automation.
• Hands-on experience using AI tools to streamline workflows and enable responsible AI use.

Responsibilities

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

Skills

Data engineering

Analytics engineering

Solution engineering

AI concepts

SQL

Python

Apache Spark

Delta Lake

Data modeling

Data governance

Data quality

Enterprise data architecture

Git

CI/CD

Education

Bachelor's degree in Computer Science, Information Systems, Data Engineering, Software Engineering, or related field

Databricks Data Engineer Associate certification or higher

Databricks Generative AI Engineer Associate certification preferred

Tools

Databricks Lakehouse Platform

Apache Spark

SQL

Python

Delta Lake

Salesforce

Power BI

Snowflake

Microsoft Fabric

Git

CI/CD

Job description

Moody's is seeking a senior Data/Analytics Engineer to design, build, and support scalable data and AI solutions on the Databricks Lakehouse Platform. The role involves developing governed datasets, data products, and robust data pipelines to enable advanced analytics and AI initiatives.

You will collaborate with business stakeholders and technical teams to translate requirements into scalable, cost-efficient solutions, while upholding security, governance, and performance standards across the