Senior Data and AI Engineer - Finance

As a Senior Data and AI Engineer - Finance at Databricks, you will build and maintain data pipelines, applications, and AI-powered tools supporting the Finance and Accounting organisation.

You will report to the Senior Manager, Finance Data and AI and work as a core member of a team combining engineering rigour with Finance domain knowledge.

Responsibilities:

• Build and maintain finance data pipelines in the Finance DataLake using Databricks Jobs and Lakeflow Lakeflow Spark Declarative Pipelines
• Develop and iterate on AI-assisted tools for the Finance and Accounting organisation
• Contribute to the development of Finance applications enabling self-service analytics for Finance stakeholders
• Build and maintain reports and dashboards for monthly, quarterly, and executive-level reporting
• Support the implementation of row-level security and data access policies across Finance DataLake datasets
• Work with Accounting, FP&A, Internal Audit, and Procurement teams to gather requirements and deliver technical solutions
• Follow Git-based version control, pull-request review processes, and CI/CD pipelines
• Support financial close by monitoring pipelines and investigating data issues
• Participate in UAT for new system integrations and assist with technical documentation

Requirements:

• 7+ years of experience in data engineering, analytics engineering, or finance systems
• Proficiency in SQL and Python for pipeline development
• Hands-on experience with Apache Spark or the Databricks platform is a strong plus
• Experience connecting to and ingesting from financial source systems
• Working knowledge of finance and accounting concepts
• Ability to translate Finance requirements into technical solutions
• Comfortable communicating across technical and non-technical audiences

Nice to Have:

• Prior experience at a high-growth SaaS or cloud infrastructure company
• Exposure to AI/BI tools, Genie, or LLM-powered applications