Finance Technology Data Solutions Engineer

This role offers the opportunity to build and support data solutions powering fund accounting, investment operations, and financial reporting for a US-based asset management environment. You will work across data integrations, transformations, reconciliations, controls, and data products that support critical financial processes. The position requires strong hands-on expertise with Databricks, Python, PySpark, and SQL to process and manage large-scale financial data. You will apply your understanding of fund accounting, investment data, and financial services to deliver reliable and well-controlled solutions. Working as an individual contributor, you will collaborate directly with US stakeholders and contribute to data engineering initiatives in a regulated environment. The role is available on a part-time or full-time remote basis.

• 10+ years of hands-on data engineering experience, with a strong individual contributor focus rather than team leadership or architecture.
• Strong, recent hands-on experience with Databricks, including Delta Lake, notebooks, jobs, and workflows; Unity Catalog experience is preferred.
• Strong understanding of fund accounting processes, including NAV calculation, accruals, corporate actions, fees, and month-end close.
• Advanced Python and PySpark skills for large-scale data processing.
• Proven experience delivering data solutions within Financial Services, with Asset Management, Investment Management, Fund Administration, Custody, or Capital Markets experience strongly preferred.
• Experience developing reconciliations and data controls within financial or regulated environments.
• Strong understanding of investment data, including positions, transactions, security master, pricing, cash, and general ledger data.
• Expert SQL skills, including complex joins, window functions, and performance tuning.
• Experience with at least one cloud platform, such as Azure or AWS.
• Strong written and spoken English, with confidence communicating directly with US stakeholders.
• Databricks Data Engineer or Azure/AWS data engineering certification is a plus.
• Experience with Azure Data Factory, Airflow, Databricks Workflows, or Fivetran is beneficial.
• Familiarity with Snowflake, dbt, Power BI, or Tableau for downstream reporting is a plus.
• Experience with Git, Azure DevOps, GitHub Actions, CI/CD, and unit testing for data pipelines is beneficial.
• Finance Management and a BE, BTech, or MCA qualification are advantageous.