Python Data Engineer
Python Data Engineer
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Job Description
Join us as a Python Data Engineer
Ready to accelerate innovation through data
As part of our strategic growth we are looking for a Python Data Engineer to join our agile team of 10 professionals embedded within the business. This role marks the first team member of this unit to be based in our Porto office supporting Market Data Cash Equity Quant and Analytics functions. You will play a key role in accelerating the creation of new data-driven products automating business processes and enabling strategic decision-making. Your contribution will bring both speed and robustness to our data pipelines and solutions.
Working in close collaboration with business stakeholders you will support projects end-to-end from ideation and rapid prototyping to production deployment.
Empowering data-driven decisions at Euronext
Euronext is the leading pan-European exchange connecting local economies to global markets. With a strong presence across Europe we offer trading clearing and listing services for a broad range of asset classes including equities derivatives and commodities. Data is at the core of our operations and innovation strategy enabling smarter decisions streamlined processes and cutting-edge solutions. Join our team and be part of shaping the future of financial markets through scalable and impactful data engineering.
As a Python Data Engineer you will:
Collaborate with business operations and IT stakeholders to gather requirements and design tailored data-driven solutions.
Develop and optimize robust scalable and high-performance data pipelines that support critical business workflows.
Co-create rapid prototypes with business users to validate hypotheses and accelerate time-to-value.
Industrialize those prototypes into production-ready solutions with a strong focus on data quality maintainability and performance.
Support continuous delivery and deployment by applying software engineering and DevOps best practices.
Contribute to the evolution of our data stack and foster best practices across the team.
Your Profile
Technical Skills
Proven experience working with large datasets in Python using libraries such as pandas or Polars.
Solid understanding of software engineering principles: clean code version control testing and automation.
Experience with data pipeline orchestration tools and/or Dataiku is a strong plus.
Familiarity with DevOps CI/CD pipelines and production-grade deployment.
Soft Skills
Analytical mindset with strong problem-solving skills and a proactive hands-on approach.
Eagerness to learn and continuously explore new tools technologies and data techniques.
Excellent communication skills and the ability to translate technical solutions into business value.
Comfortable working in a collaborative agile and fast-paced environment with cross-functional teams.
Working with us means:
A vibrant international and diverse team where youll collaborate with a network of 2200 talents across Europe USA and Asia.
A collaborative and inclusive work environment that fosters professional growth with flexible career paths learning and development opportunities
An agile innovative and dynamic company where you can make an impact
Wellbeing programme equal opportunities work environment open to diversity in all its forms.
by submitting a CV in English.
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 dont 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.
Additional Information
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.
Employment Type
Full-Time
