We are creating a new AI R&D Team in Dublin that will operate as a dedicated innovation capability within IT Corporate Functions, reporting to the Head of Software Development, and working in close collaboration with the IT-CF AI team based in Porto.
The team's mission is to research, design, prototype, and validate AI-driven solutions that enhance business processes and automation across the Euronext Group. The team will focus on emerging AI technologies, intelligent automation, machine learning, generative AI, and integration patterns that delivery teams across the organisation can adopt and industrialise.
The Dublin-based team will:
- Explore and validate new AI technologies and approaches.
- Design future-state AI architecture and integration patterns.
- Develop PoCs and minimum viable products (MVPs).
- Contribute to Euronext's AI strategy and technology roadmap.
- Deliver reusable AI capabilities and accelerators.
- Partner with business stakeholders to identify and assess new AI opportunities.
- Collaborate closely with the Porto AI team to transition successful R&D initiatives into scalable enterprise solutions.
The Data Engineer for AI is responsible for designing and building the data foundations required to support AI and machine learning initiatives.
The role ensures that data is accessible, reliable, governed, and optimised for experimentation, model training, and future enterprise-scale AI adoption.
Key Responsibilities- Design and develop data pipelines supporting AI initiatives.
- Prepare, cleanse, transform, and enrich datasets for AI experimentation.
- Build reusable data products that can be leveraged by future AI solutions.
- Support the creation of training datasets and feature engineering activities.
- Implement data governance, security, and monitoring controls.
- Contribute to developing scalable AI data architecture patterns.
- Partner with data owners and business stakeholders across the Euronext Group.
- Work closely with the Porto AI team to establish common data standards and engineering practices.
- Support MLOps and AI operationalisation initiatives.
- Strong experience with Azure Data Services, Microsoft Fabric, Databricks, Synapse, or equivalent technologies.
- Advanced SQL and Python skills.
- Experience building modern data pipelines and data platforms.
- Understanding of AI and Machine Learning lifecycle requirements.
- Experience with cloud-based data architecture.
- Strong analytical mindset and problem-solving skills.
- Availability and quality of datasets supporting AI initiatives.
- Reusability of data products and pipelines.
- Reduction of effort required to onboard new AI use cases.
- Contribution to enterprise AI data architecture standards.
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 InformationThis 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.
Skills Required
- Strong experience with Azure Data Services, Microsoft Fabric, Databricks, Synapse, or equivalent technologies
- Advanced SQL skills
- Advanced Python skills
- Experience building modern data pipelines and data platforms
- Understanding of AI and machine learning lifecycle requirements
- Experience with cloud-based data architecture
- Strong analytical mindset and problem-solving skills
Euronext Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Euronext and has not been reviewed or approved by Euronext.
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Equity Value & Accessibility — Share ownership is broadly accessible through an all‑employee program with annual performance share grants, extending participation in long‑term value. Equity components are positioned as a standard part of the total rewards mix across the group.
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Strong & Reliable Incentives — Variable pay includes annual performance bonuses tied to individual, company, and ESG objectives alongside long‑term performance shares. Incentive mechanisms are presented as structured and market‑aligned within a clear fixed‑plus‑variable framework.
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Parental & Family Support — Policies protect pay outcomes during paid parental leave and include salary reviews following maternity leave. Family support is reinforced by generous parental and family medical leave described for at least one subsidiary.
Euronext Insights
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What We Do
Euronext is the leading pan-European market infrastructure, connecting European economies to global capital markets, to accelerate innovation and sustainable growth. It operates regulated exchanges in Belgium, France, Ireland, Italy, the Netherlands, Norway and Portugal. With close to 1,930 listed issuers and around €6.8 trillion in market capitalisation as of end March 2023, it has an unmatched blue-chip franchise and a strong diverse domestic and international client base. Euronext operates regulated and transparent equity and derivatives markets, one of Europe’s leading electronic fixed income trading markets and is the largest centre for debt and funds listings in the world. Its total product offering includes Equities, FX, Exchange Traded Funds, Warrants & Certificates, Bonds, Derivatives, Commodities and Indices. The Group provides a multi-asset clearing house through Euronext Clearing, and custody and settlement services through Euronext Securities central securities depositories in Denmark, Italy, Norway and Portugal. Euronext also leverages its expertise in running markets by providing technology and managed services to third parties. In addition to its main regulated market, it also operates a number of junior markets, simplifying access to listing for SMEs. For the latest news, go to euronext.com or follow us on Twitter (twitter.com/euronext)
