Data Reliability Engineer - High-Impact Pipelines

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

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.