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Python Data Engineer

at Cencora

Back to all Data Engineering jobs
C
Industry not specified

Python Data Engineer

at Cencora

Mid LevelNo visa sponsorshipData Engineering

Posted 16 hours ago

No clicks

Compensation
Not specified

Currency: Not specified

City
Porto
Country
Portugal

Join us as a Python Data Engineer to drive the development and calculation of indices using the Dataiku platform. Based in Porto, you will join an agile Index team, supporting end-to-end projects from ideation to production deployment, and help expand our data and analytical capabilities. This role focuses on building scalable data solutions, working with Python, pandas, and Dataiku on large datasets, and ensuring reliability of production data pipelines. The position offers a hybrid model (4 days in the office) and opportunities to collaborate with business stakeholders and cross-functional teams.

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.

Python Data Engineer

at Cencora

Back to all Data Engineering jobs
C
Industry not specified

Python Data Engineer

at Cencora

Mid LevelNo visa sponsorshipData Engineering

Posted 16 hours ago

No clicks

Compensation
Not specified

Currency: Not specified

City
Porto
Country
Portugal

Join us as a Python Data Engineer to drive the development and calculation of indices using the Dataiku platform. Based in Porto, you will join an agile Index team, supporting end-to-end projects from ideation to production deployment, and help expand our data and analytical capabilities. This role focuses on building scalable data solutions, working with Python, pandas, and Dataiku on large datasets, and ensuring reliability of production data pipelines. The position offers a hybrid model (4 days in the office) and opportunities to collaborate with business stakeholders and cross-functional teams.

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.

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