Senior Data and AI Engineer - Finance

Навыки

Обязанности

• 01Build and maintain finance data pipelines in the Finance DataLake using Databricks Jobs and Lakeflow Lakeflow Spark Declarative Pipelines, including data validation and reconciliation logic
• 02Develop and iterate on AI-assisted tools for the Finance and Accounting organisation, including automation of manual workflows, anomaly detection, and reporting enhancements
• 03Contribute to the development of Finance applications (Databricks Apps, Genie Spaces, dashboards) that enable self-service analytics for Finance stakeholders
• 04Build and maintain reports and dashboards for monthly, quarterly, and executive-level reporting
• 05Support the implementation of row-level security and data access policies across Finance DataLake datasets
• 06Work with Accounting, FP&A, Internal Audit, and Procurement teams to gather requirements and deliver well-documented technical solutions
• 07Follow Git-based version control, pull-request review processes, and CI/CD pipelines (Declarative Automation Bundles, GitHub Actions) to meet SOX change management requirements
• 08Support financial close by monitoring pipelines, investigating data issues, and escalating as needed
• 09Participate in UAT for new system integrations and assist with technical documentation
• 10Contribute to team coding standards and data modelling conventions under the guidance of the Finance Data Lead

Требования

• 017+ years of experience in data engineering, analytics engineering, or finance systems
• 02Proficiency in SQL and Python for pipeline development
• 03Hands-on experience with Apache Spark or the Databricks platform is a strong plus
• 04Experience connecting to and ingesting from financial source systems (NetSuite, Salesforce, Stripe, Zuora, or similar)
• 05Working knowledge of finance and accounting concepts, including close processes, revenue recognition, and financial reporting
• 06Ability to translate Finance requirements into clean, maintainable technical solutions with guidance
• 07Comfortable communicating across technical and non-technical audiences
• 08Experience contributing to BI dashboards and self-service data products
• 09Curiosity about AI/ML and interest in applying new techniques to Finance workflows