Finance Technology Data Solutions Engineer

📋 Description

• Build, maintain, and support data solutions for fund accounting, investment operations, and finance
• Develop data integrations, transformations, pipelines, and data products using Databricks, Python
• Implement and maintain financial data reconciliations, controls, and validation processes.
• Work with fund accounting processes including NAV calculation, accruals, corporate actions, fees
• Process and integrate investment data covering positions, transactions and trades, security master
• Optimize complex SQL queries, data pipelines, and large-scale processing workloads for performance

🎯 Requirements

• 10+ years of hands-on data engineering experience, with a strong individual contributor focus
• Strong, recent hands-on experience with Databricks, including Delta Lake, notebooks, jobs, and
• Strong understanding of fund accounting processes, including NAV calculation, accruals, corporate
• Advanced Python and PySpark skills for large-scale data processing.
• Proven experience delivering data solutions within Financial Services, with Asset Management
• Experience developing reconciliations and data controls within financial or regulated environments.

🎁 Benefits

• Fully remote working model.
• Part-time or full-time employment options.
• Opportunity to work on financial data solutions supporting fund accounting and investment
• Direct collaboration with US-based stakeholders.
• Exposure to Financial Services and asset management data environments.
• Hands-on work with Databricks, cloud data platforms, Python, PySpark, and modern data engineering