Data Engineer - Digital Assets

Das ist der Job

IMC has a strong presence in traditional Finance and has been expanding into Crypto over the last years.

Darum lohnt es sich

As a Data Engineer, you‘ll be joining our core engineering team. You are absolutely fluent in English and enjoy working in an international team.

Location and Office Culture: IMC office in Zug, Switzerland Note that this is an onsite role, with some but limited flexibility for working from home You can expect a dynamic, fast-paced environment that delivers a steady stream of challenges and opportunities One of the most exciting aspects of the job is our quick feedback loop in the research, development and deployment of strategies We give people lots of responsibility and the support they need to make an impact from day one We promise you a flat structure and an open, collaborative culture that stimulates the sharing of ideas, knowledge and technology between our teams and offices #J-18808-Ljbffr Through its overseas affiliates, IMC provides liquidity and trades on many cryptocurrency exchanges and DeFi protocols.

You can expect a dynamic, fast-paced environment that delivers a steady stream of challenges and opportunities, with one of the most exciting aspects of the job being our quick feedback loop in the research, development and deployment of strategies.

You will contribute to our proprietary low-latency trading system, acquire market and trading data, implement ETL processes and collaborate with traders and researchers on improving the trading results. Your Core Responsibilities: Collaborate on developing market and trading data pipeline systems, both in batch mode and streaming mode.

Extend data pipelines to multiple exchanges/platforms and across different areas of application. Work closely together with other engineers and researchers, providing efficient data solutions for our research and trading operations. Your Skills and Experience: Masters in Computer Science, Mathematics, Physics or a related technical field.

Industry experience in big data would be a big plus. Skills in data pipeline technologies such as Clickhouse, Flink and Kafka. Experience with Kubernetes is a plus. Proficient programming experience in Java/Scala & Python, C++ being a plus. You are eager to design, develop, test, deploy, maintain and improve software.