Senior Python Data Engineer H/F

Euronext
Paris, France
about 1 month ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours
Languages
English

Tech stack

Clean Code Principles Business Analytics Applications Automation of Tests Big Data Software Quality Information Engineering Python (Programming Language) Operational Databases Rapid Prototyping Process Software Deployment Data Processing Pandas
+3 more
Dataiku Software Version Control Data Pipelines

Job description

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, 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

Requirements

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, postgraduate degree EducationalOccupationalCredential bachelor degree EducationalOccupationalCredential associate degree

About the company

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.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.hellowork.com

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