This role seeks a senior software engineer to build real-time data systems critical to Optiver’s trading strategies, emphasizing scalability, performance, and resilience. The candidate must...
read more »
This role seeks a senior software engineer to build real-time data systems critical to Optiver’s trading strategies, emphasizing scalability, performance, and resilience. The candidate must demonstrate expertise in high-throughput data processing, real-time analytics, and system reliability. While the position offers the chance to work on cutting-edge trading technologies, the focus is on practical, mission-driven challenges rather than hype. The role requires deep technical skill in C++/Python, big data tools, and real-time systems, with a culture that values innovation and collaboration. The compensation and benefits are competitive, but the key is the opportunity to shape the future of trading technology in a dynamic, international environment.
A data analyst role focused on automating pricing strategies through machine learning models, involving Python and SQL skills, with the unique aspect of directly influencing prices for 13.7...
read more »
A data analyst role focused on automating pricing strategies through machine learning models, involving Python and SQL skills, with the unique aspect of directly influencing prices for 13.7 million customers. The risk lies in the potential misalignment between models and practical impact, given the emphasis on rapid testing and stakeholder management.
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Senior Core Data Engineer - Real Time
@ flow-traders
NL | 2025-12-23
This role is a unique opportunity for a senior data engineer to lead real-time analytics at a fast-paced, innovative firm. The position requires expertise in building and maintaining low-latency...
read more »
This role is a unique opportunity for a senior data engineer to lead real-time analytics at a fast-paced, innovative firm. The position requires expertise in building and maintaining low-latency data pipelines, managing complex data architectures, and optimizing data extraction from diverse sources. The job emphasizes technical rigor, automation, and cross-team collaboration, but lacks clarity on compensation and specific technical details. While the responsibilities align with cutting-edge data engineering, the focus on generic tools like Airflow and GCP may limit innovation. The challenge lies in balancing stakeholder demands with data quality and systematizing manual processes. The opportunity is substantial for those skilled in real-time data engineering and distributed systems, but the role may not stand out for its lack of specific technical depth or salary details.
Flow Traders is hunting a Core Data Engineer to own the end-to-end lifecycle of its most valuable data products—the Security Master, ETF compositions, high-resolution market data, and the trades,...
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Flow Traders is hunting a Core Data Engineer to own the end-to-end lifecycle of its most valuable data products—the Security Master, ETF compositions, high-resolution market data, and the trades, orders, quotes, and inquiries that power the business. The role promises genuine ownership: build and maintain pipelines, implement quality checks, refine a common data model, and onboard new data sources while collaborating across teams on data-centric architecture. What stands out: a platform-driven mandate with tangible impact on trading strategies, a mix of SQL/NoSQL, Python, and a heavy emphasis on Airflow, Kafka, and Google Cloud tooling. The negatives: the scope is broad and demanding, risk of endless automation debt, and governance overhead around licenses and access control; depth may come at the expense of time-to-delivery. Overall, it’s a real, heavy-hitting data-engineering role tuned for platform reliability rather than flashy ML hype.
Data Engineer - QuantumBlack, AI by McKinsey
@ quantumblack
NL | 2025-12-22
This role is a high-performance, high-reward opportunity for a data engineer seeking to grow as a leader in a global, diverse team. The position emphasizes continuous learning, mentorship, and...
read more »
Data Engineer - QuantumBlack, AI by McKinsey
quantumblack
(NL) FULL TIME | JOB LISTED
This role is a high-performance, high-reward opportunity for a data engineer seeking to grow as a leader in a global, diverse team. The position emphasizes continuous learning, mentorship, and real-world impact, with a focus on scalable data pipelines, secure environments, and AI-driven solutions. The tech stack includes Python, PySpark, Databricks, Kedro, and cloud platforms, reflecting a commitment to pragmatic, industry-aligned tools. The role is an intermediary position, offering growth through cross-functional collaboration with data scientists and industry experts. The salary range is not explicitly provided, and the job type is data engineer. Tools and technologies mentioned include Python, PySpark, Databricks, Kedro, Airflow, Docker, Kubernetes, AWS, GCP, and Azure.
This role seeks a senior software engineer to build real-time data systems critical to Optiver’s trading strategies, emphasizing scalability, performance, and resilience. The candidate must demonstrate expertise in high-throughput data processing, real-time analytics, and system reliability. While the position offers the chance to work on cutting-edge trading technologies, the focus is on practical, mission-driven challenges rather than hype. The role requires deep technical skill in C++/Python, big data tools, and real-time systems, with a culture that values innovation and collaboration. The compensation and benefits are competitive, but the key is the opportunity to shape the future of trading technology in a dynamic, international environment.
A data analyst role focused on automating pricing strategies through machine learning models, involving Python and SQL skills, with the unique aspect of directly influencing prices for 13.7 million customers. The risk lies in the potential misalignment between models and practical impact, given the emphasis on rapid testing and stakeholder management.
This role is a unique opportunity for a senior data engineer to lead real-time analytics at a fast-paced, innovative firm. The position requires expertise in building and maintaining low-latency data pipelines, managing complex data architectures, and optimizing data extraction from diverse sources. The job emphasizes technical rigor, automation, and cross-team collaboration, but lacks clarity on compensation and specific technical details. While the responsibilities align with cutting-edge data engineering, the focus on generic tools like Airflow and GCP may limit innovation. The challenge lies in balancing stakeholder demands with data quality and systematizing manual processes. The opportunity is substantial for those skilled in real-time data engineering and distributed systems, but the role may not stand out for its lack of specific technical depth or salary details.
Flow Traders is hunting a Core Data Engineer to own the end-to-end lifecycle of its most valuable data products—the Security Master, ETF compositions, high-resolution market data, and the trades, orders, quotes, and inquiries that power the business. The role promises genuine ownership: build and maintain pipelines, implement quality checks, refine a common data model, and onboard new data sources while collaborating across teams on data-centric architecture. What stands out: a platform-driven mandate with tangible impact on trading strategies, a mix of SQL/NoSQL, Python, and a heavy emphasis on Airflow, Kafka, and Google Cloud tooling. The negatives: the scope is broad and demanding, risk of endless automation debt, and governance overhead around licenses and access control; depth may come at the expense of time-to-delivery. Overall, it’s a real, heavy-hitting data-engineering role tuned for platform reliability rather than flashy ML hype.
Data Engineer - QuantumBlack, AI by McKinsey
quantumblack
(NL) FULL TIME | JOB LISTED
This role is a high-performance, high-reward opportunity for a data engineer seeking to grow as a leader in a global, diverse team. The position emphasizes continuous learning, mentorship, and real-world impact, with a focus on scalable data pipelines, secure environments, and AI-driven solutions. The tech stack includes Python, PySpark, Databricks, Kedro, and cloud platforms, reflecting a commitment to pragmatic, industry-aligned tools. The role is an intermediary position, offering growth through cross-functional collaboration with data scientists and industry experts. The salary range is not explicitly provided, and the job type is data engineer. Tools and technologies mentioned include Python, PySpark, Databricks, Kedro, Airflow, Docker, Kubernetes, AWS, GCP, and Azure.
