Data Software Engineer – DPE Team
Location: Amsterdam (Hybrid)
Company: Cboe (European Equities Exchange)
The DPE (Derivatives & Platform Engineering) team is hiring a Python Software Engineer. You’ll help build and expand the batch functionality of the largest equities exchange in Europe.
We are firm believers in testable, maintainable code and software craftsmanship; that mindset has helped us become the largest equities exchange in Europe — and we’re looking for another talented engineer to help us keep innovating and leading the market.
Your role
As a Python Software Engineer in the DPE team, you’ll design and build highly reliable batch systems that directly support Cboe Europe’s trading operations. You’ll work in a global development team, collaborate closely with business and sales, and contribute to new products and features for our exchanges.
What you will do
-
Design and build highly reliable, highly testable Python batch systems that support Cboe Europe’s trading operations
-
Provide operational support for Cboe Europe’s trading systems
-
Work closely with business development and sales to develop innovative new products and features for our exchanges
-
Participate in R&D projects to identify and implement promising new technologies
-
Collaborate as part of a global software development team
What you bring
-
Solid Python knowledge
-
A clear commitment to writing testable, maintainable code
-
Familiarity with more advanced SQL techniques
-
Strong Linux knowledge
-
Basic but broad knowledge of algorithms and data structures
You’ll really stand out with
-
Highly preferred: Experience with TDD, BDD or other testing methodologies
-
Preferred: Familiarity with PostgreSQL, Jenkins, Django, or Pandas
-
Preferred: Familiarity with Microservices Architecture
-
Preferred: Experience with REST API service development
-
Preferred: Familiarity with event-driven architecture, message queues, or event streaming
-
Preferred: Familiarity with Cloud technologies
-
Preferred: Familiarity with C or C++
-
Preferred: Experience in one or more relevant financial areas (market data, order management, algorithmic trading, financial systems integration, compliance, etc.)
About Sytac: