Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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У роли понятный senior-уровень и востребованный стек для обработки данных в реальном времени, но на повседневную работу могут влиять небольшая распределённая команда и специфика трейдинга.
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Трейдинг и финансыСовременный стекПонятная рольНебольшая команда
Оценка от Hirify AI
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Senior Data Engineer (Fintech): Building and enhancing high-throughput, real-time data ecosystems for financial analytics with an accent on scalable ETL/ELT pipelines, stream processing, and ClickHouse optimization. Focus on designing fault-tolerant data infrastructure, implementing advanced monitoring and automated recovery, and securing mission-critical financial data in cloud environments.
Location: Sydney, New South Wales, Australia; hybrid workplace.
Company
hirify.global provides online trading and investment services, including CFD trading, with a focus on regulatory compliance, technology innovation, and customer service.
What you will do
Design and evolve highly scalable, fault-tolerant ETL/ELT pipelines.
Develop real-time messaging and stream-processing solutions with Kafka and RabbitMQ to support sub-second data availability.
Serve as the subject matter expert for ClickHouse, optimizing schema designs, indexing strategies, and query performance for large-scale financial datasets.
Deploy data services in cloud environments with advanced security protocols and finance-focused data governance.
Collaborate with senior leadership on data strategy and mentor data engineers through code reviews and technical guidance.
Implement monitoring and automated recovery systems to protect the integrity and quality of financial data.
Requirements
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
Proven data engineering experience, including designing and implementing ETL processes in cloud environments.
Experience in the Finance or Trading technology sector handling real-time market or transactional data.
Strong Python skills for developing robust, maintainable, and scalable data-processing pipelines.
Extensive SQL knowledge and experience.
Excellent problem-solving and teamwork skills.
Strong communication skills, including the ability to explain complex technical concepts to non-technical stakeholders.
Culture & Benefits
Collaborative and inclusive environment with exposure to cross-region operations.
Flexible working arrangements in a hybrid workplace.
Competitive salary and performance-based bonuses.
Career growth and development opportunities within a global company.
Health and wellness benefits.
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