Overview
Client Details
Description
- Design, Test & Execute SQL Changes – Implement and optimise ETL solutions for Finance and Treasury.
- Maintain & Enhance Data Pipelines – Ensure efficient data transformation, processing, and provisioning.
- Troubleshoot ETL Performance – Identify and resolve issues in data extraction, transformation, and loading.
- Support Finance & Treasury Projects – Develop and manage SQL and Python-based ETL solutions.
- Coordinate with Data Providers – Work with upstream and downstream teams to maintain seamless data flows.
- Ensure Data Accuracy & Compliance – Validate, reconcile, and document ETL processes to support regulatory requirements.
Profile
The successful candidate will be a proactive and detail-oriented Data Engineer with a strong background in SQL Server and Python, particularly in ETL development and financial data processing. They will have experience working with large datasets in a financial services environment, demonstrating strong data governance, automation, and troubleshooting skills.
They should be comfortable working in a fast-paced, project-driven setting, capable of managing multiple priorities, and collaborating effectively with finance, treasury, and technology teams. Strong problem-solving abilities, communication skills, and technical documentation expertise are essential. A can-do attitude, curiosity for new technologies, and a drive for continuous improvement will set them apart in this high-impact role.
Job Offer