Data Engineer An internationally operating technology‑driven trading firm is looking for a Data Engineer to join its engineering team. The company develops and operates high‑performance systems for processing, analyzing, and leveraging large‑scale market and trading data in fast‑paced, data‑intensive environments. Working closely with engineers, researchers, and quantitative specialists, you will contribute to the development of scalable data platforms and pipelines that support business‑critical operations and decision‑making processes.
Location: Zug, Switzerland.
Job Responsibilities
Design, develop, and maintain scalable data pipelines for market, trading, and transactional data.
Build and operate both batch and real‑time streaming data processing solutions.
Integrate new data sources, exchanges, and platforms into existing data ecosystems.
Collaborate closely with engineering, research, and business teams to deliver efficient and reliable data solutions.
Optimize data infrastructure for performance, scalability, and resilience.
Contribute to the development of high‑availability, low‑latency systems.
Ensure data quality and automate data processing workflows where possible.
Requirements
Master's degree in Computer Science, Mathematics, Physics, or a related technical discipline.
Professional experience in Data Engineering, Big Data, or large‑scale data processing environments.
Strong knowledge of modern data technologies such as Kafka, Flink, ClickHouse, or similar platforms.
Experience with cloud‑native infrastructure and container orchestration technologies, ideally Kubernetes.
Strong programming skills in Java or Scala and Python; experience with C++ is considered a plus.
Interest in data‑driven systems, distributed architectures, and high‑performance environments.
Strong analytical and problem‑solving skills with a structured and hands‑on approach.
Fluent English communication skills, both written and spoken.
Perspective
Opportunity to work on modern, large‑scale data platforms in a highly technical environment.
Close collaboration with experienced engineers, researchers, and domain experts.
Flat hierarchies, short decision‑making processes, and significant ownership from day one.
International and collaborative company culture focused on innovation and continuous learning.
Exposure to challenging real‑time data processing and distributed systems problems.
Long‑term career opportunities within a technology‑focused and growth‑oriented organization.
Reference: 2J6O69.
#J-18808-Ljbffr
Location: Zug, Switzerland.
Job Responsibilities
Design, develop, and maintain scalable data pipelines for market, trading, and transactional data.
Build and operate both batch and real‑time streaming data processing solutions.
Integrate new data sources, exchanges, and platforms into existing data ecosystems.
Collaborate closely with engineering, research, and business teams to deliver efficient and reliable data solutions.
Optimize data infrastructure for performance, scalability, and resilience.
Contribute to the development of high‑availability, low‑latency systems.
Ensure data quality and automate data processing workflows where possible.
Requirements
Master's degree in Computer Science, Mathematics, Physics, or a related technical discipline.
Professional experience in Data Engineering, Big Data, or large‑scale data processing environments.
Strong knowledge of modern data technologies such as Kafka, Flink, ClickHouse, or similar platforms.
Experience with cloud‑native infrastructure and container orchestration technologies, ideally Kubernetes.
Strong programming skills in Java or Scala and Python; experience with C++ is considered a plus.
Interest in data‑driven systems, distributed architectures, and high‑performance environments.
Strong analytical and problem‑solving skills with a structured and hands‑on approach.
Fluent English communication skills, both written and spoken.
Perspective
Opportunity to work on modern, large‑scale data platforms in a highly technical environment.
Close collaboration with experienced engineers, researchers, and domain experts.
Flat hierarchies, short decision‑making processes, and significant ownership from day one.
International and collaborative company culture focused on innovation and continuous learning.
Exposure to challenging real‑time data processing and distributed systems problems.
Long‑term career opportunities within a technology‑focused and growth‑oriented organization.
Reference: 2J6O69.
#J-18808-Ljbffr
Data Engineer Arbeitgeber: Prime21 AG
Die Prime21 AG ist ein hervorragender Arbeitgeber, der seinen Mitarbeitern die Möglichkeit bietet, in einem dynamischen und agilen Umfeld zu arbeiten. Mit einem starken Fokus auf Cloud-Infrastruktur und CI/CD-Automatisierung profitieren Sie von vielseitigen Projekten und flachen Hierarchien, die eine offene Kommunikation und Zusammenarbeit fördern. Zudem legt das Unternehmen großen Wert auf die persönliche und berufliche Weiterentwicklung seiner Mitarbeiter, was Ihnen zahlreiche Wachstumschancen bietet.
