{"id":1044032,"url":"https://alion.io/job/euronext-data-engineer-for-ai","title":"Data Engineer for AI - Fixed Term (12 months)","company":{"id":14289,"name":"Euronext","domain":"euronext.com","url":"https://alion.io/company/euronext","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":88,"open_postings":8,"ghost_share":0,"stale_share":0.5,"repost_share":0,"time_to_fill_p50_days":58,"computed_at":"2026-11-04T06:34:25Z"}},"role":"Data Science","role_family":"Data Science","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Dublin, Ireland"],"countries":["IE"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":67000,"max_usd":168000,"period":"year","method":"role_country_seniority_unknown","sample_n":18},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure","optional":false},{"name":"Databricks","optional":false},{"name":"Machine Learning","optional":false},{"name":"Microsoft Fabric","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-09-18T21:02:33Z","employer_posted_date":"2026-09-23","last_verified_at":"2026-11-04T15:08:58Z","board_verified":true,"closed_at":null,"days_open":46,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":46},"description":"Team Mission\nWe 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.\nThe 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.\nThe Dublin-based team will:\nExplore and validate new AI technologies and approaches.\nDesign future-state AI architecture and integration patterns.\nDevelop PoCs and minimum viable products (MVPs).\nContribute to Euronext's AI strategy and technology roadmap.\nDeliver reusable AI capabilities and accelerators.\nPartner with business stakeholders to identify and assess new AI opportunities.\nCollaborate closely with the Porto AI team to transition successful R&D initiatives into scalable enterprise solutions.\nRole Purpose\nThe Data Engineer for AI is responsible for designing and building the data foundations required to support AI and machine learning initiatives.\nThe role ensures that data is accessible, reliable, governed, and optimised for experimentation, model training, and future enterprise-scale AI adoption.\nKey Responsibilities\nDesign and develop data pipelines supporting AI initiatives.\nPrepare, cleanse, transform, and enrich datasets for AI experimentation.\nBuild reusable data products that can be leveraged by future AI solutions.\nSupport the creation of training datasets and feature engineering activities.\nImplement data governance, security, and monitoring controls.\nContribute to developing scalable AI data architecture patterns.\nPartner with data owners and business stakeholders across the Euronext Group.\nWork closely with the Porto AI team to establish common data standards and engineering practices.\nSupport MLOps and AI operationalisation initiatives.\nRequired Skills\nStrong experience with Azure Data Services, Microsoft Fabric, Databricks, Synapse, or equivalent technologies.\nAdvanced SQL and Python skills.\nExperience building modern data pipelines and data platforms.\nUnderstanding of AI and Machine Learning lifecycle requirements.\nExperience with cloud-based data architecture.\nStrong analytical mindset and problem-solving skills.\nSuccess Measures\nAvailability and quality of datasets supporting AI initiatives.\nReusability of data products and pipelines.\nReduction of effort required to onboard new AI use cases.\nContribution to enterprise AI data architecture standards.\nEuronext Values\nUnity\nWe respect and value the people we work with\nWe are unified through a common purpose\nWe embrace diversity and strive for inclusion\nIntegrity\nWe value transparency, communicate honestly and share information openly\nWe act with integrity in everything we do\nWe don’t hide our mistakes, and we learn from them\nAgility\nWe act with a sense of urgency and decisiveness\nWe are adaptable, responsive and embrace change\nWe take smart risks\nEnergy\nWe are positively driven to make a difference and challenge the status quo\nWe focus on and encourage personal leadership\nWe motivate each other with our ambition\nAccountability\nWe deliver maximum value to our customers and stakeholders\nWe take ownership and are accountable for the outcome\nWe reward and celebrate performance\nWe 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.\nAdditional Information\nThis job description is only describing the main activities within a certain role and is not exhaustive. 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