PbWe are looking for the very Top Talent…and we would be delighted if you were to join our team! /b /ppMore in details, UST is a multinational company based in North America, certified as a Top Employer and Great Place to Work company with over 35.000 employees all over the world and presence in more than 35 countries. We are leaders on digital technology services, and we provide large-scale technologic solutions to big companies. /ppbr/ppbWhat we look for? /b /ppAs a bSenior Data Lead Engineer /b you will drive the evolution of our cloud‑based bData, AI, and BI platforms /b. You will play a key technical leadership role, shaping our lakehouse architecture, enabling AI/ML use cases, and guiding engineering best practices across teams. /ppbr/ppbMain tasks and accountabilities will be: /b /pulliLead the Data, AI BI roadmap for GTB, ensuring scalability, resilience, security, and cost efficiency. /liliDesign and evolve our data lakehouse architecture. /liliDefine and build domain-oriented data products aligned with data mesh principles (data-as-a-product, SLAs, contracts, domain ownership). /liliBuild and maintain data ingestion, ETL and transformation pipelines including CDC-based and event-driven ingestion. /liliImplement and enforce data governance, data rules, data quality, data normalization/cleaning and guardrails. /liliEnable AI/ML and LLM use cases (training, feature engineering, RAG, fine‑tuning, guardrails, monitoring). /li /ulpbr/ppbWhat do we expect from you? /b /pulli5+ years in bData Engineering /b, Data Platforms, AI Engineering or Advanced Analytics, ideally in large or regulated environments. /liliProven experience designing and building cloud data platforms and data lakehouse architectures (preferably AWS). /lilibAWS experience: /b S3, Lake Formation, Glue (Jobs, Crawlers, Data Wrangler), EMR. /liliHands-on experience with Databricks or EMR for large-scale data transformation. /liliStrong background in data ingestion and bETL /b. /liliExperience with CDC pipelines and event‑driven architectures for ingesting operational/transactional data. /liliExperience integrating on‑premise data lakes with cloud platforms in hybrid architectures. /liliExperience enabling bAI/ML /b solutions in production environments. /liliInvolvement in data governance, data quality, data rules and guardrails. /li /ulpbr/ppbr/ppbIf you would like to know more, don’t hesitate to apply and we’ll get in touch to fill you in detail. /b /ppbr/ppbWe are waiting for you! /b /p