Senior Data Engineer

Data Engineer – Risk Engine & Data Quality

Location: Amsterdam (Hybrid)
Company: Cboe Clear Europe

Cboe Clear Europe is a leading pan-European central counterparty (CCP), providing safe and efficient clearing and settlement services across Europe. We clear trades for 46+ trading venues and are authorised to clear cash equities, depositary receipts, ETFs and equity derivatives. From our headquarters in Amsterdam, we help market participants manage counterparty credit risk and maximise operational efficiency through automation and netting.

To strengthen our Risk & Data capabilities, we’re looking for a Data Engineer to help build and roll out a new Risk Engine with data quality at its core.

Your role

As a Data Engineer, you will help design and deliver the data foundation behind our new Risk Engine. You’ll decide which data to obtain, how it should be structured and exposed, and ensure successful rollout and adoption across the organisation.

You combine strong engineering skills (PySpark, Python, SQL) with a sharp eye for data quality, reliability and incident management.

What you will do

• Define which data is required for the Risk Engine and what the expected outputs should be

• Design, build and optimise data pipelines in PySpark, Python and SQL

• Drive data quality, monitoring and observability for risk-related datasets

• Ensure a smooth rollout and adoption of the Risk Engine across teams and stakeholders

• Bring a strong culture around incident management:

  • Analyse root causes (not just symptoms)

  • Challenge existing setups (“why is it built this way?”)

  • Introduce industry best practices

• Collaborate closely with risk, business and platform teams to ensure solutions are usable, robust and well-understood

What you bring

• Solid experience as a Data Engineer (or similar role) in a data-driven environment

• Strong hands-on skills with: PySpark, Python, SQL

• Experience with data quality, incident management and operating data pipelines in production

• A structured way of working and curiosity to dig into root causes and improve processes

• Good stakeholder skills: able to translate technical details into clear impact for risk and business teams

• A proactive mindset: you don’t just fix issues, you help prevent them

Nice to have

• Experience in financial markets, risk, or clearing & settlement

• Experience with modern data platforms, orchestration and monitoring tools

• Familiarity with regulated environments and strict data/governance requirements

---

Python 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.)