Senior Data Engineer

Shanghai - China

Monthly Salary: Not Disclosed

Posted on: 30+ days ago

Vacancies: 1 Vacancy

Job Summary

Optiver is a leading global market maker powered by technology rigorous research and deep collaboration. As we become increasingly data-driven our ability to capture model and deliver high-quality data at scale is fundamental to maintaining our trading edge. We are seeking a Data Engineer to join our Data Engineering this role you will own the end-to-end data lifecyclefrom raw market data capture through to normalized datasets used by both trading and research.

WHAT YOULL WORK ON:

Build and maintain robust data pipelines for capturing and processing raw data.
Ingest catalog and manage a variety of data sources including market data execution data reference data and more.
Model and normalize complex financial datasets to ensure they are clean consistent and easily accessible for research and production.
Ensure all datasets are well managed and governed within our global data lake.
Collaborate closely with traders researchers and engineers across multiple global offices to understand evolving data requirements and deliver scalable solutions.
Implement rigorous data-quality checks monitoring and alerting to guarantee reliability and consistency.
Contribute to the architecture and scaling of our global data platform to support ever-growing data-intensive strategies.

WHAT YOU WILL NEED:

5 years of experience as a Data Engineer or in a similar role in a high-performance environment preferably within financial services.
Proficiency with Python C is a big plus
Experience with market data & exchange protocol is highly desirable
Solid understanding of data capturing data modeling and normalization.
Proficiency in designing and implementing distributed data pipelines.
Experience with lakehouse architectures (e.g. Delta Lake Databricks) is preferred.
Strong software engineering fundamentals especially around performance reliability and scalability in distributed systems.
Excellent communication skills and the ability to work effectively in a fast-paced collaborative environment.

Diversity statement

Optiver is committed to diversity and inclusion. We encourage applications from candidates of all backgrounds and welcome requests for reasonable adjustments during the process.

Questions Get in touch with the recruitment team at .

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Required Experience:

Senior IC

WHAT YOULL WORK ON:

Build and maintain robust data pipelines for capturing and processing raw data.
Ingest catalog and manage a variety of data sources including market data execution data reference data and more.
Model and normalize complex financial datasets to ensure they are clean consistent and easily accessible for research and production.
Ensure all datasets are well managed and governed within our global data lake.
Collaborate closely with traders researchers and engineers across multiple global offices to understand evolving data requirements and deliver scalable solutions.
Implement rigorous data-quality checks monitoring and alerting to guarantee reliability and consistency.
Contribute to the architecture and scaling of our global data platform to support ever-growing data-intensive strategies.

WHAT YOU WILL NEED:

5 years of experience as a Data Engineer or in a similar role in a high-performance environment preferably within financial services.
Proficiency with Python C is a big plus
Experience with market data & exchange protocol is highly desirable
Solid understanding of data capturing data modeling and normalization.
Proficiency in designing and implementing distributed data pipelines.
Experience with lakehouse architectures (e.g. Delta Lake Databricks) is preferred.
Strong software engineering fundamentals especially around performance reliability and scalability in distributed systems.
Excellent communication skills and the ability to work effectively in a fast-paced collaborative environment.

Diversity statement

Optiver is committed to diversity and inclusion. We encourage applications from candidates of all backgrounds and welcome requests for reasonable adjustments during the process.

Questions Get in touch with the recruitment team at .