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Python Data Engineer

ExperiencedNo visa sponsorship
Euronext logo

at Euronext

Other

Posted 14 days ago

No clicks

**Python Data Engineer** sought for Porto-based role to drive index development using Dataiku. Duties include building scalable data solutions, processing large datasets using Python and pandas, collaborating with business teams, and ensuring pipeline reliability. Required: strong data engineering experience, proficiency in Python, software engineering best practices, and familiarity with Dataiku. Ideal candidate has finance industry experience. Fluency in English essential. Apply now.

Compensation
Not specified

Currency: Not specified

City
Not specified
Country
Portugal

Full Job Description

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.

 

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.

Python Data Engineer

Compensation

Not specified

City: Not specified

Country: Portugal

Euronext logo
Other

14 days ago

No clicks

at Euronext

ExperiencedNo visa sponsorship

**Python Data Engineer** sought for Porto-based role to drive index development using Dataiku. Duties include building scalable data solutions, processing large datasets using Python and pandas, collaborating with business teams, and ensuring pipeline reliability. Required: strong data engineering experience, proficiency in Python, software engineering best practices, and familiarity with Dataiku. Ideal candidate has finance industry experience. Fluency in English essential. Apply now.

Full Job Description

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.

 

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.