Data Engineer - Digital Assets

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

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• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

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Relocation assistance

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Childcare support

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Learning budget

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Salary

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Market context

U.S. role benchmark (BLS OEWS)

$111,944 U.S. median for this role

Projected growth (BLS Employment Projections)

+13.7% - Much faster than average

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Data From the posting source checked Jun 20, 2026

Seniority

Mid From the posting source checked Jun 20, 2026

Schedule

Shift type

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Weekend work

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Application

Cover letter

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Assessment

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Deadline

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Where they hire

State eligibility is not yet verified.

About this role

Data Engineer - Digital Assets Zug, Switzerland IMC has a strong presence in traditional Finance and has been expanding into Crypto over the last years. 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. As a Data Engineer, you'll be joining our core engineering team. 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 absolutely fluent in English and enjoy working in an international team. - You are eager to design, develop, test, deploy,

Read the full description at job-boards.eu.greenhouse.io. FewerJobs shows a preview and links to the original posting.