Data Engineer (AI Centre)

A leading financial group is looking for a Senior Data Science Engineer to join their data innovation team. The role focuses on building robust data infrastructures, migrating and optimizing hybrid cloud environments, and delivering scalable data solutions to support analytics and business intelligence initiatives.

What You’ll Do

• Design and maintain data marketplaces and ETL pipelines

• Integrate data systems across on-premises and cloud environments

• Plan and implement data storage, processing, and analytics architecture

• Manage and monitor databases such as Neo4j, MongoDB, Oracle, and Hadoop

• Develop DevOps pipelines and cloud-based ETL workflows

• Ensure platform stability and continuously optimize architecture for scalability

• Troubleshoot system issues and perform upgrades

• Build and maintain APIs for data services

What You’ll Bring

• 5+ years of experience in software development or data engineering

• Strong Python, SQL, and Shell scripting skills

• Experience with Hadoop, Spark, Hive, and big data platforms

• Hands-on with ETL tools (Airflow, Oozie, NiFi, etc.)

• Familiar with Linux systems and DevOps practices

• Strong logical thinking, communication, and presentation skills

• Proactive, resilient, and collaborative team mindset

• Bonus: Banking domain knowledge and Cloudera CDH experience

About the Role

• Key contributor to the company's cloud data transformation and application rollout

• Work cross-functionally with analysts, engineers, and business users

• Engage in both technical problem solving and architecture-level decision-making

What’s Next

Want to build the data infrastructure that powers enterprise-level AI and analytics?