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High-Performance Data Expert

2 weeks ago

Sydney, New South Wales, Australia Optiver Full time
Unlock Your Potential as a Data Engineer at Optiver

Are you passionate about data engineering and looking for a challenging role that will allow you to grow professionally? Do you want to be part of a dynamic team that is shaping the future of financial markets?

We are seeking an experienced Data Engineer to join our team in Sydney. As a key member of our data engineering function, you will play a crucial role in designing and implementing data solutions that enable efficient access to high-quality data, ensuring smooth operations of our data pipelines.

About the Role
  1. Work closely with researchers in Sydney and our Global Research and Data Platform teams to productionise workflows, optimise large-scale data processing, and manage infrastructure costs efficiently.
  2. Develop and implement data pipelines using Spark, Databricks, and proprietary HPC tooling, ensuring high availability, scalability, and performance.
  3. Monitor and optimise resource usage in partnership with the Data Platform team, balancing performance and cost-effectiveness.
  4. Implement monitoring tools and fine-tune systems for optimal throughput, latency, and reliability, ensuring seamless access to data.
  5. Provide technical mentorship to junior engineers and support the growth of the data engineering function in Sydney.


About You
  • 3+ years of experience in data engineering.
  • Demonstrable proficiency in Python.
  • Familiarity with distributed data processing and building robust data pipelines.
  • Familiarity with the use of or concepts underpinning various Data Engineering technologies and approaches.
  • Hands-on experience with Spark or Databricks highly desirable.
  • Ability to lead projects autonomously, prioritise tasks, and deliver high-quality results.
  • Proven success working with research and platform engineering teams to support data-driven projects.
  • Strong problem-solving skills, focusing on efficiency, scalability, and cost-effectiveness.
  • Excellent written and verbal communication skills, with the ability to convey technical concepts to both technical and non-technical stakeholders.
  • A Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field.
  • Other preferred qualifications include familiarity with cloud-based architectures (e.g. AWS), large-scale relational databases experience (e.g. PostgreSQL), knowledge of real-time data streaming technologies (e.g. Kafka), and familiarity with system languages (e.g. C++, Rust).