at Euronext
OtherPosted 3 days ago
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**Senior Python Data Engineer** needed in Paris for Agile Index Team. Lead index development, build analytical tools using Dataiku. Key responsibilities include writing clean, scalable Python code, designing efficient data flows, conducting code reviews, and collaborating with business teams. Ideal candidate has 5+ years in Data Engineering, extensive Python & pandas experience, software engineering best practices, and a robust analytical mindset. Fluent English required. Join Euronext, shapes capital markets. Apply with English CV.
- Compensation
- Not specified
- City
- Paris
- Country
- France
Currency: Not specified
Full Job Description
Join us as a Senior Python Data Engineer
We are seeking a Senior Python Data Engineer to lead the development and calculation of indices, along with building analytical tools around them, using the Dataiku platform. This role is based in Paris.
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 innovation and reliability across our data ecosystem.
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:
- Minimum of 5 years of hands-on experience in Data Engineering, with proven ability to design and implement scalable data solutions
- Extensive experience with large and complex datasets in Python, using libraries such as pandas
- Strong 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.




