Data Engineer

merken

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 decisionmaking processes.

Aufgaben Data Scientist/Data Analyst/Data Engineer

Region Innerschweiz

Ortschaft Zug

REF Nr 2J6O69

Stellenbeschreibung

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

Anforderungsprofil

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

Perspektive

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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