Data Reliability Engineer (SRE) for Trading Pipelines

Optiver

Sydney

On-site

AUD 90,000 - 130,000

Full time

10 days ago
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Benefits offered by this job

Performance-based bonus
Training & mentorship
Daily breakfast & in-house barista
Gym membership & weekly massages
Company trip every two years
Relocation support & visa sponsorship

Job summary

Optiver is seeking a Data Engineer / SRE to ensure reliable, high‑quality data pipelines that support trading and research. You’ll operate at the intersection of data engineering, operations, and market data, monitoring critical pipelines and building automation to prevent issues before they impact trading outcomes.

You will design data quality tests, investigate incidents, and apply SRE principles to improve reliability, alerting and recovery.

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.

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

Data engineering
SRE
Observability

Tools

Databricks
Grafana
Prometheus
Airflow

Job description

Optiver is seeking a Data Engineer / SRE to ensure reliable, high‑quality data pipelines that support trading and research. You’ll operate at the intersection of data engineering, operations, and market data, monitoring critical pipelines and building automation to prevent issues before they impact trading outcomes.

You will design data quality tests, investigate incidents, and apply SRE principles to improve reliability, alerting and recovery.

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