Data Engineer

# Data Engineer Upload applicationmerken

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.tasks

Data Scientist/Data Analyst/Data Engineerregion Innerschweiz Ortschaft Zug REF ---#####

Job Description
* 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, Click House, 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

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