Python Data Engineer

Join us as a Python Data Engineer

We are looking for a Python Data Engineer to drive the development and calculation of indices using the Dataiku platform. This position is based in Porto.

You will join an agile team embedded within the Index business, supporting the development of indices and related analytics, while expanding our data and analytical capabilities.

In this role, you will collaborate closely with business stakeholders and support projects end-to-end, from ideation and rapid prototyping to production deployment, ensuring that innovation and reliability go hand in hand across our data ecosystem.

Hybrid working model: 4 days per week in the office

Why this role is exciting

• Build scalable data solutions that support index development and analytics
• Work with large and complex datasets using Python, pandas and Dataiku
• Collaborate closely with business stakeholders and cross-functional teams
• Influence the performance and reliability of production data pipelines
• Contribute to a growing, innovative team in the Index business

Key Responsibilities:

• Write clean, maintainable, and robust code following best practices
• Evaluate project feasibility and technical complexity, prioritizing code quality and robustness
• Design optimized data processing flows for scalability and performance
• Conduct peer code reviews and ensure deliverable quality
• Coordinate with business teams on tasks and use cases
• Write comprehensive technical documentation for delivered projects
• Monitor production use cases and continuously improve performance and reliability

Profile & Qualifications

Technical Skills:

• Strong experience in Data Engineering, with a proven ability to design and implement scalable data solutions
• Extensive experience with large and complex datasets in Python, using libraries such as pandas
• Solid foundation in software engineering best practices: clean code, version control, automated testing, workflow automation
• Experience with data pipeline orchestration tools and/or Dataiku is a strong advantage
• Experience in the finance industry and its products is a strong advantage

Soft Skills:

• Analytical mindset with strong problem-solving skills
• Proactive, hands-on, and eager to learn new tools and technologies
• Excellent communication skills and ability to translate technical solutions into business value
• Comfortable working in a collaborative, agile, fast-paced environment
• Fluent in English

Apply by submitting a CV in English.

About Euronext

Join Euronext – shape capital markets for future generations.

Euronext is the leading pan-European market infrastructure, connecting European economies to global capital markets to drive innovation and sustainable growth. Operating in 18 countries across Europe, the US, and Asia, it has regulated exchanges in Belgium, France, Ireland, Italy, the Netherlands, Norway, and Portugal.

The Group offers a wide range of products, including equities, FX, ETFs, bonds, derivatives, commodities, and advanced data services, and provides clearing and custody/settlement services. Euronext also offers technology, corporate, and data services to third parties.

Euronext Values

Unity

•        We respect and value the people we work with

•        We are unified through a common purpose

•        We embrace diversity and strive for inclusion

Integrity

•        We value transparency, communicate honestly and share information openly

•        We act with integrity in everything we do

•        We don’t hide our mistakes, and we learn from them

Agility

•        We act with a sense of urgency and decisiveness

•        We are adaptable, responsive and embrace change

•        We take smart risks

Energy

•        We are positively driven to make a difference and challenge the status quo

•        We focus on and encourage personal leadership

•        We motivate each other with our ambition

Accountability

•           We deliver maximum value to our customers and stakeholders

•           We take ownership and are accountable for the outcome

•           We reward and celebrate performance

We are proud to be an equal opportunity employer. We do not discriminate against individuals on the basis of race, gender, age, citizenship, religion, sexual orientation, gender identity or expression, disability, or any other legally protected factor. We value the unique talents of all our people, who come from diverse backgrounds with different personal experiences and points of view and we are committed to providing an environment of mutual respect.

This job description is only describing the main activities within a certain role and is not exhaustive. It does not prevent to add more tasks, projects.