Data Operations

Optiver; Sydney; On-site; AUD 120,000 - 180,000; Full time

Benefits offered by this job

Performance bonus

Training & mentorship

Daily breakfast and lunch

Gym membership

Regular social events

Job summary

Optiver’s Sydney office is seeking a Data Reliability & Quality Engineer to join the Site Reliability Engineering arm of our global data platform. You will monitor data pipelines, implement data quality tests and drive automation to ensure reliable, high-quality data for trading and research.

You’ll work at the intersection of data engineering, operations and market data, collaborating with engineers and researchers to meet SLAs and improve system resilience.

Qualifications

• 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.

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.

Skills

SQL

ETL

Python

Scala

C++

Observability

Automation

Tools

Databricks

Grafana

Prometheus

Airflow

Job description

Who We Are

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.

What You’ll Do

We’re 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’ll 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. In this role, you will:

• 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.

Who You Are

• 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.

Nice to have:

• 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.

What You’ll Get

You’ll join a culture of collaboration and excellence, where you’ll be surrounded by curious thinkers and creative problem solvers. Driven by a passion for continuous improvement, you’ll thrive in a supportive, high‑performing environment alongside talented colleagues, working collectively to tackle some of the most complex problems in the financial markets.

In return for your expertise, you will have access to a range of Optiver perks, including:

• A performance‑based bonus structureunmatchedanywhere in the industry.

• The chance to work alongside diverse and intelligent peers in a rewardingenvironment.

• 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.

If you’re passionate about supporting reliable, high‑performance data systems and want your work to directly impact trading outcomes, we’d love to hear from you.

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 [e-mail]