Data Engineer II, Glass Liquidity and Cash Management
Aumni
Software Engineering, Data Science
Singapore
Posted on Feb 13, 2026
You thrive on diversity and creativity, and we welcome individuals who share our vision of making a lasting impact. Your unique combination of design thinking and experience will help us achieve new heights.
As a Data Engineer II at JPMorganChase within the Corporate and Investment Banking (CIB) Technology, Glass Liquidity and Cash Management team, you are part of an agile team that works to enhance, design, and deliver the data collection, storage, access, and analytics solutions in a secure, stable, and scalable way. As an emerging member of a data engineering team, you execute data solutions through the design, development, and technical troubleshooting of multiple components within a technical product, application, or system, while gaining the skills and experience needed to grow within your role.
Job responsibilities
- Design, develop, and maintain robust data pipelines for data extraction, transformation, and ingestion of large-scale datasets into a lakehouse
- Build and optimize data workflows using Java, Spring Boot, Apache Flink, Python, PySpark and Databricks.
- Integrate and process streaming data using Kafka and Apache Flink
- Implement databricks pipelines that build complex business data aggregates for BI reporting and analytics.
- Ensure data quality, integrity, and security across all data platforms.
- Monitor, troubleshoot, and optimize data pipeline performance.
- Document data flows, architecture, and processes.
Required qualifications, capabilities, and skills
- Bachelor’s degree in computer science, Engineering, or related field
- Formal training or certification on software engineering concepts with 2+ years of experience
- Strong hands-on Experience in Java, Apache Flink, Python or PySpark.
- Strong hands-on experience in writing complex SQL/PLSQL
- Proficient in Kafka for real-time data streaming.
- Good understanding of data extraction, ingestion, and ETL processes.
- Understanding of Lakehouse Architecture and working experience on Databricks platform would be advantage.
- Experience building dashboards using Tableau would be an advantage.
- Familiarity with Cloud-based storage technologies like AWS S3.
- Excellent problem-solving and communication skills.
J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world’s most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
J.P. Morgan’s Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.
Be part of an agile team that works to enhance, design, and deliver data collection, storage, access, and analytics solutions