About Citco:

Since the 1940s, Citco has provided specialist financial services to alternative investment funds, investors, multinationals, and private clients worldwide. Our data engineering initiatives represent one of our most critical technical focus areas, driving innovation across our global operations.

About the Role:

As a Senior Data Engineer, you will work on Citco's enterprise‑wide Centralized Data Platform (CDP) built on Databricks, contributing to our data infrastructure, API integrations, and future AI initiatives, while collaborating with data scientists, analysts, and business stakeholders to transform raw financial data into actionable insights; you will build and maintain data pipelines on the Databricks Lakehouse Platform using agile methodologies, develop scalable ETL/ELT processes, implement data quality controls, and ensure data governance standards are met, all within our AWS cloud environment to power critical business operations with the highest standards of data security and compliance.

This role offers the opportunity to work with cutting-edge technologies while solving complex data challenges in a global financial services environment. You'll be part of a team driving technical excellence and innovation within Citco's data engineering practice.

Key Responsibilities:

• Design and develop Databricks solutions leveraging Lakehouse architecture for enterprise data processing and analytics
• Develop and optimize ETL/ELT pipelines 
• Create and manage structured streaming pipelines for real-time data processing
• Configure and optimize Databricks clusters and Spark jobs for optimal performance
• Utilize Delta Live Tables for data ingestion and transformations
• Apply Unity Catalog features and IAM best practices for security governance and access control
• Support infrastructure and resource management using Terraform
• Participate in Agile/Scrum development process and collaborate with team members
• Implement monitoring solutions for pipeline performance and data quality
• Contribute to code reviews and knowledge-sharing sessions

Required Qualifications:

• 6+ years of experience in data engineering

• 2+ years of hands-on experience with Databricks platform

• Strong expertise in Python and Spark programming

• Demonstrable experience in using AI in development

• Proven experience with AWS or other similar cloud services

• Deep understanding of data modeling and SQL

• Experience with Delta Lake and Lakehouse architecture

• Strong knowledge of ETL/ELT principles and patterns

• Experience with version control systems (Git)

• Demonstrated ability to optimize data pipelines

• Strong problem-solving and analytical skills

• Excellent communication and collaboration abilities

Nice to Have:

• Financial services industry experience

• Experience with multiple cloud providers

• Knowledge of AI/ML implementation patterns

• API development experience

• Experience with real-time data processing

• Data governance framework experience