Senior Data Engineer
Crédit Agricole CIB
Job Description
Crédit Agricole Corporate and Investment Banking (Crédit Agricole CIB) is the corporate and investment banking arm of Crédit Agricole Group, world’s 10th largest bank by total assets.
Our Singapore center is the 2nd largest IT setup (after Paris Head Office) for Crédit Agricole CIB's worldwide business. We work daily with international branches located in 30 markets by:
Envisioning and preparing the Bank’s futures information systemsPartnering and supporting core banking flagships and transverse areas in their large-scale development projectsProviding premium In-house Banking applications
This unique positioning empowers us to bring our core banking business a sustainable competitive advantage on the market. We seek innovative and agile people sharing our mindset to support ambitious and forthcoming technological challenges.
The Team The Risks Core Systems (RCS) section in CSI handles applications responsible for risk data collection, data integration, credit risk calculation and monitoring for CA-CIB worldwide. All applications are in-house developments, giving you the opportunity to shape systems from the ground up.
The OpportunityJoin our team as a Senior Data Engineer for the bank's flagship risk data and reporting platform. You'll build and optimize data pipelines that process millions of records daily, managing terabytes of data that power critical risk calculations and regulatory reporting across CA-CIB's global operations. This platform is the backbone of our risk management infrastructure, delivering real-time insights to senior management and regulatory bodies worldwide.
What You'll DoDesign and develop the robust data solutions on SQL Server, ensuring optimal performance through advanced query optimization, indexing strategies, and partition managementDesign and optimize large-scale ETL pipelines using Apache Spark to process high-volume data from diverse sources across the bankEnsure data quality and reliability across the platform through comprehensive validation frameworks and proactive monitoringCollaborate with analytics teams using SAP BusinessObjects and other systems to deliver regulatory reports and business intelligenceDrive continuous improvement by evaluating and adopting emerging technologies and best practices in big data engineeringTroubleshoot and resolve complex data pipeline issues, performance bottlenecks, and system failures
Required Qualifications 8+ years of data engineering experience, preferably in financial services or high-volume data environmentsAdvanced SQL Server expertise including:Query optimization, execution plan analysis, and performance tuningIndex design, maintenance, and partitioning strategies for large tablesDeadlock analysis, resolution, and troubleshootingDatabase design, normalization, and experience managing large-scale databases (multi-TB environments)Solid understanding of data engineering principles: data modeling, ETL best practices, and data quality frameworksJava/J2EE development skills for building scalable data applicationsGood to have the proficiency with Apache Spark (DataFrames, RDDs, Spark SQL) for building and optimizing production-grade ETL pipelines that handle large-scale distributed data processing
Preferred QualificationsExperience with SAP BusinessObjects and reporting toolsBackground in banking, risk management, or regulatory reportingFamiliarity with data governance and quality frameworksKnowledge of cloud platforms (AWS, Azure, or GCP)
Why This Role Stands OutHigh Impact: Your work directly influences strategic risk decisions and regulatory compliance for a top-tier global bankTechnical Challenge: Handle petabyte-scale datasets using cutting-edge big data technologies in a complex, mission-critical environmentCareer Growth: High-visibility role with clear advancement paths in a strategic function that's central to the bank's operationsInnovation: Shape the future of risk analytics by introducing new technologies, methodologies, and architectural patternsCollaboration: Work with cross-functional teams spanning data engineering, risk analytics, business intelligence, and senior stakeholders across global officesStability & Reputation: Join one of the world's most established financial institutions with a strong commitment to technology excellence
Note - This is a contract- 12 months with bank. Renewable subject to performance.
We offer a competitive remuneration package, consistent with your qualifications and experience. For fair employment practices, we are keen on Singaporeans ONLY.Interested applicants, please click on "APPLY"
Visit us on: http://www.ca-cib.com