Compagnie Financière Tradition SA
Data Infrastructure Engineer Position
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- Lausanne, Vaud, Switzerland
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- Lausanne, Vaud, Switzerland
Company
About
We are one of the world's largest wholesale brokers in over-the-counter financial and commodity- related markets. With local offices in over 30 countries, the group employs more than 2,400 people globally and provides broking and data services in money market products, bonds, interest rate, currency and credit derivatives, equities, equity derivatives, listed futures & options, energy, environmental products, and precious metals. Headquartered in Lausanne, Compagnie Financière Tradition SA is listed on the SIX Swiss Exchange (CFT.SW).
Perks & Benefits
Vacancy
Who you are
- Master’s degree in computer science, information technology, engineering or equivalent
- Two or more years of experience in data engineering, devops engineering, or software engineering
- Experience with containerization, Kubernetes, Terraform, and Bash
- Experience with data storage solutions such as SQL databases or S3
- Experience in building CI/CD pipelines with Gitlab, or similar
- Familiar with some technologies such as Python, Spark, Airflow, or Kafka
- Familiar with open-source tools in the data infrastructure landscape
- Some experience if possible with consumption of financial markets data or a trading room environment
- Ability to communicate and collaborate effectively within the team and with external stakeholders
- Excellent spoken and written English
Your tasks
- Oversee all the platform’s technical facets to provide best-in-class data and services to users.
- Improve the platform’s architecture with respect to the infrastructure and business requirements.
- Develop state-of-the-art continuous integration and continuous delivery pipelines to ensure the continuity of the platform’s development and operations.
- Work closely with business IT teams, data scientists, and external providers to deploy, automate, and monitor data processing, machine learning pipelines, and web applications.
- Develop and maintain documentation of data infrastructure and processes.
Nice-to-have skills
- Pipeline
Work experience
- Data Infrastructure
Languages
- English
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