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.

Apply by submitting a CV in English.