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About the Role
We are building out our Data Reliability & Quality Engineering function in Sydney, the Site Reliability Engineering (SRE) arm of our global data platform. This team ensures that data is reliable, accurate, and available when it's needed. You will sit at the intersection of data engineering, operations, and market data, monitoring critical pipelines, improving system resilience, and building automation to detect and prevent issues before they impact trading or research. You'll play a key role in shaping how we ingest and deliver trusted, high-quality data at scale, supporting a growing, data-driven global business.
Responsibilities
- Monitor and optimize the performance and stability of data pipelines to meet SLAs.
- Design and maintain data quality tests for accuracy, consistency, and completeness.
- Investigate data incidents, perform root-cause analysis, and implement preventive measures.
- Apply SRE principles to enhance reliability, alerting, and recovery mechanisms.
- Develop automation and tooling to reduce manual intervention and improve scalability.
- Collaborate with data engineers, researchers, and market data teams to align reliability goals with business priorities.
Requirements
- 2+ years of experience in data engineering, site reliability engineering (SRE), or data operations.
- Proficient in SQL, ETL processes, and at least one programming language (Python, Scala, or C++).
- Strong focus on automation, system resilience, and continuous improvement.
- Passionate about data quality, observability, and performance optimization.
- Structured and methodical in problem-solving, with strong debugging skills.
- Excellent communication skills and a collaborative, proactive mindset.
- Experience with Databricks, data observability platforms, or distributed/cloud-based data systems.
- Familiarity with alerting and monitoring tools (e.g., Grafana, Prometheus, Airflow, or similar).
- Exposure to financial data pipelines or low-latency trading environments.
Skills
- SQL
- ETL processes
- Python
- Scala
- C++
- Automation
- System resilience
- Continuous improvement
- Data quality
- Observability
- Performance optimization
- Debugging
- Communication
- Databricks
- Data observability platforms
- Distributed/cloud-based data systems
- Grafana
- Prometheus
- Airflow
Location
- Sydney
Work Type
- Full-time
Experience Level
- 2+ years
Benefits
- Performance-based bonus structure
- Training, mentorship, and personal development opportunities
- Daily breakfast, lunch, and an in-house barista
- Gym membership plus weekly in-house chair massages
- Regular social events, including a company trip every two years
About the Company
- Optiver is a global market maker founded in Amsterdam, with offices in London, Chicago, Austin, New York, Sydney, Shanghai, Hong Kong, Singapore, Taipei, and Mumbai.
- Established in 1986, today we are a leading liquidity provider, with close to 2,000 employees in offices around the world, united in our commitment to improve the market through competitive pricing, execution, and risk management.
- By providing liquidity on multiple exchanges across the world in various financial instruments, we participate in the safeguarding of healthy and efficient markets.
- We provide liquidity to financial markets using our own capital, at our own risk, trading a wide range of products: listed derivatives, cash equities, ETFs, bonds, and foreign currencies.
- Optiver’s Sydney office is one of the primary players within Asian markets, trading a range of products.
- Established in 1996, we're an active participant on the Hong Kong, Korea, Singapore, Taiwan, and Japan exchanges, and act as Optiver’s APAC head office.
Equal Opportunity
- Optiver is committed to diversity and inclusion.
- We encourage applications from candidates of all backgrounds, and welcome requests for reasonable adjustments during the process.