Senior Data Engineer at Optiver

Shanghai, Shanghai, China -

Full Time

Start Date

Immediate

Expiry Date

21 Jan, 26

Salary

0.0

Posted On

23 Oct, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, Python, C++, Market Data, Data Modeling, Normalization, Distributed Data Pipelines, Lakehouse Architectures, Delta Lake, Databricks, Software Engineering, Data Quality Checks, Collaboration, Data Governance, Data Capture, Data Processing

Industry

Financial Services

Description

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 team. In this role, you will own the end-to-end data lifecycle—from raw market data capture through to normalized datasets used by both trading and research. WHAT YOU’LL 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: 3+ 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 careers@optiver.com.au. Privacy disclaimer Optiver 重视个人信息的保护。请您在提供个人信息给我们之前，认真阅读Optiver China Privacy Notice, 了解我们如何收集及处理您的个人信息。 Personal information protection is of utmost importance to Optiver. Before you provide any personal information to us, we strongly urge you to read our Privacy Policy to acknowledge how we collect and process your personal information.

Responsibilities

You will own the end-to-end data lifecycle, building and maintaining robust data pipelines for capturing and processing raw data. Collaborate closely with traders, researchers, and engineers to understand evolving data requirements and deliver scalable solutions.