Data Engineer
Data Engineer
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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 2000 employees in offices around the world united in our commitment to improve the market through competitive pricing 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.
Optivers Sydney office is one of the primary players within Asian markets trading a range of products. Established in 1996 were an active participant on the Hong Kong Korea Singapore Taiwan and Japan exchanges and act as Optivers APAC head office.
WHAT YOULL DO
Optiver Sydney is seeking a seasoned Data Engineer to support and advance the data needs of our local research team. Youll work closely with researchers in Sydney and our Global Research and Data Platform teams to productionise workflows optimise largescale data processing and manage infrastructure costs efficiently.
This role requires deep expertise in Data Engineering concepts and technologies along with a strong ability to work independently and deliver impactful results in a fastpaced environment. You will play a pivotal role in designing and implementing data solutions that enable efficient access to highquality data ensuring smooth operations of our data pipelines. Your work will directly support our research teams in deriving realtime insights and making datadriven decisions.
As a key data engineering hire in our Sydney office you will partner with crossfunctional teams across regions to enhance and align our data strategy helping drive Optivers data and analytics capabilities forward. Dependent on experience and seniority key responsibilities would include:
- Collaborate with researchers to transform experimental workflows into productionready data pipelines that meet performance and reliability standards.
- Platform and Tooling development: Advancing the start of the art of a variety of Optivers Research and Data Teams platforms and tools.
- Cost Optimisation: Monitor and optimise resource usage in partnership with the Data Platform team balancing performance and costeffectiveness.
- Monitoring & Tuning: Implement monitoring tools and finetune systems for optimal throughput latency and reliability ensuring seamless access to data.
- CrossFunctional Collaboration: Work closely with our Data Platform teams globally maintaining alignment on data strategy tools and best practices.
- Data Pipeline Design & Development: Architect build and manage scalable data pipelines using Spark Databricks and proprietary HPC tooling ensuring high availability scalability and performance.
- Documentation & Standards: Develop and maintain clear documentation of data pipeline architectures processes and best practices.
- Mentorship & Guidance: Provide technical mentorship to junior engineers and support the growth of the data engineering function in Sydney.
WHO YOU ARE
We are looking for a highly skilled Data Engineer with:
- 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.
- Handson experience with Spark or Databricks highly desirable.
- Ability to lead projects autonomously prioritise tasks and deliver highquality results.
- Proven success working with research and platform engineering teams to support datadriven projects.
- Strong problemsolving skills focusing on efficiency scalability and costeffectiveness.
- Excellent written and verbal communication skills with the ability to convey technical concepts to both technical and nontechnical stakeholders.
- A Bachelors or Masters degree in Computer Science Engineering Data Science or a related field.
- Other preferred qualifications include familiarity with cloudbased architectures (e.g. AWS) largescale relational databases experience (e.g. PostgreSQL) knowledge of realtime data streaming technologies (e.g. Kafka) and familiarity with system languages (e.g. C Rust).
WHAT YOULL GET
Youll join a culture of collaboration and excellence where youll be surrounded by curious thinkers and creative problem solvers. Driven by a passion for continuous improvement youll thrive in a supportive highperforming 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 be offered a competitive salary package as well as access to a range of Optiver perks including:
- The chance to work alongside bestinclass professionals
- Competitive remuneration including an attractive bonus structure and additional leave entitlements
- Training mentorship and personal development opportunities
- Gym membership plus weekly inhouse chair massages
- Daily breakfast lunch and an inhouse barista
- Regular social events including an annual company trip
Optiver is committed todiversity and inclusion and it is hardwired through every stage of our hiring process. We encourage applications from candidates from any and all backgrounds and we welcome requests for reasonable adjustments during the process to ensure that you can best demonstrate your abilities.
Employment Type
Full Time
