Data Engineering Lead Specialized in Banking

Elevate your career as a Data Engineering Lead specializing in data warehousing and cloud technologies. This role requires strong skills in SQL, Python, and Databricks to drive data initiatives. We are looking for a seasoned Data Engineer with at least five years of experience in Python, PySpark, SQL, and data management in enterprise systems, particularly in the investment banking sector. Your role will involve optimizing data processes, ensuring high-quality data, and liaising effectively with stakeholders. Key Responsibilities: • Build effective data pipelines for various data sources • Monitor and troubleshoot Databricks jobs for performance • Implement ETL solutions in a cloud environment • Optimize data models for insurance of data governance • Conduct code reviews ensuring adherence to standards Requirements: • 5+ years in relevant programming and SQL expertise • Experience with Snowflake and cloud data warehouses • Knowledge in data warehousing concepts • Leadership in cloud migrations • Strong background in architecture and design Bring your data engineering acumen to lead transformative projects within the banking sector.