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Data Operations
Optiver — топовый работодатель в сфере финтеха с отличными бонусами, культурой и сложными задачами. Локация в Сиднее и фокус на передовых технологиях делают вакансию крайне привлекательной для специалистов по данным.
Сложность вакансии
Роль требует сочетания навыков Data Engineering и SRE, а также понимания специфики финансовых рынков. Высокие стандарты Optiver к качеству кода и надежности систем делают процесс отбора достаточно сложным.
Анализ зарплаты
Предлагаемая позиция в Optiver обычно предполагает компенсацию выше среднего по рынку Сиднея за счет значительных бонусов, которые могут составлять существенную часть общего дохода. Указанный рыночный диапазон отражает базовые зарплаты для специалистов с опытом от 2 лет в Австралии.
Сопроводительное письмо
Dear Optiver Recruitment Team,
I am writing to express my strong interest in the Data Operations position within your Data Reliability & Quality Engineering function in Sydney. With over two years of experience at the intersection of data engineering and operations, I have developed a deep appreciation for the SRE principles that ensure data is not just available, but reliable and accurate for critical decision-making. My background in SQL and Python, combined with a methodical approach to root-cause analysis, aligns perfectly with Optiver's commitment to maintaining healthy and efficient markets.
In my previous roles, I have focused on building automated monitoring and alerting systems that proactively identify data quality issues before they impact downstream consumers. I am particularly drawn to Optiver's high-performance culture and the opportunity to work on complex data pipelines within a low-latency trading environment. I am eager to bring my passion for observability and system resilience to your team and contribute to the continued evolution of your global data platform.
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Откликнитесь в optiverus уже сейчас
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Описание вакансии
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 structure unmatched anywhere in the industry.
- The chance to work alongside diverse and intelligent peers in a rewarding environment.
- 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.
Apply now and help us build the next evolution of Optiver’s global data platform.
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 careers@optiver.com.au
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Навыки
- SQL
- Python
- Scala
- C++
- ETL
- SRE
- Databricks
- Grafana
- Prometheus
- Airflow
- Data Quality
- Observability
Возможные вопросы на собеседовании
Проверка понимания SRE-подхода применительно к данным.
Как бы вы определили и внедрили Service Level Indicators (SLI) и Service Level Objectives (SLO) для критически важного пайплайна рыночных данных?
Оценка навыков решения проблем и системного мышления.
Опишите случай, когда вы столкнулись с серьезным инцидентом в данных. Как вы проводили Root Cause Analysis и какие превентивные меры внедрили?
Проверка технических навыков автоматизации.
Какие инструменты или библиотеки на Python вы бы использовали для автоматизации проверки качества данных (Data Quality) в реальном времени?
Оценка опыта работы с современным стеком.
Был ли у вас опыт работы с Databricks или Airflow? Как вы оптимизировали производительность задач в этих системах?
Проверка умения работать в команде и расставлять приоритеты.
Как вы балансируете между операционными задачами (тушением пожаров) и долгосрочными проектами по улучшению надежности систем?
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