Lakehouse And AI Data Platform Engineer (Fintech)

TL;DR

Lakehouse And AI Data Platform Engineer (Fintech): Designing and building modern data foundations for AI and analytics capabilities with an accent on scalable data pipelines and Lakehouse architecture. Focus on implementing distributed data processing, ensuring data quality, and developing curated datasets for AI use cases.

Location: Singapore

Company

A leading global investment banking, securities and investment management firm.

What you will do

• Build, enhance and support batch and streaming data pipelines on the Lakehouse and AI data platform.
• Develop raw, refined and curated datasets that support analytics, reporting and AI use cases.
• Implement controls to validate completeness, accuracy and consistency of data across pipelines and datasets.
• Collaborate with engineers, platform teams and data consumers to deliver reliable and scalable data products.
• Contribute to shared tooling and framework components to improve platform functionality and operational support.
• Provide technical leadership, task breakdown and mentorship for junior engineers.

Requirements

• Minimum 7 years of experience in a data engineering or similar role.
• Strong hands-on programming experience in Python or Java.
• Good working knowledge of SQL, including troubleshooting and optimization.
• Experience working with distributed data processing frameworks such as Apache Spark.
• Working knowledge of common data formats such as JSON, Avro and Parquet.
• Familiarity with software engineering fundamentals, including version control, testing, and CI/CD practices.

Nice to have

• Experience with Snowflake, Apache Iceberg, Databricks, or the Hadoop ecosystem.
• Knowledge of Kafka for streaming data.
• Experience with containerized or Kubernetes-based deployment approaches.

Culture & Benefits

• Engineering teams are central to the business, solving complex technical problems to turn data into action.
• Commitment to fostering diversity and inclusion in the workplace.
• Access to extensive training and professional development opportunities.
• Comprehensive benefits, including wellness and personal finance offerings.
• Opportunities for long-term professional growth within a leading global financial institution.