Python Data Engineer

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 At least 2 years of 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 you'll collaborate with a network of 2,200+ 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 don't 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.