AI Data Engineer: Build Scalable Data Pipelines for ML

Euronext; Dublin; On-site; EUR 90,000 - 120,000; Full time

Job summary

Euronext is establishing an AI R&D team in Dublin to research, prototype, and validate AI-driven solutions across the group. The Data Engineer for AI will design data foundations, ensure data accessibility, governance, and optimization for experimentation and model training.

The role focuses on building scalable data architectures, pipelines, and reusable data products, while partnering with business stakeholders across the Euronext Group and the Porto AI team.

Qualifications

• 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.

Responsibilities

• Design and develop data pipelines supporting AI initiatives.
• Prepare, cleanse, transform, and enrich datasets for AI experimentation.
• Build reusable data products for future AI solutions.
• Support creation of training datasets and feature engineering.
• Implement data governance, security, and monitoring controls.
• Contribute to scalable AI data architecture patterns.
• Partner with data owners and business stakeholders across the Euronext Group.
• Work with the Porto AI team to establish common data standards and engineering practices.
• Support MLOps and AI operationalisation initiatives.

Skills

Azure Data Services

SQL

Python

Data pipelines

AI/ML lifecycle

Cloud data architecture

Job description

Euronext is establishing an AI R&D team in Dublin to research, prototype, and validate AI-driven solutions across the group. The Data Engineer for AI will design data foundations, ensure data accessibility, governance, and optimization for experimentation and model training.

The role focuses on building scalable data architectures, pipelines, and reusable data products, while partnering with business stakeholders across the Euronext Group and the Porto AI team.