OverviewBuild the Data Foundation for AIAre you passionate about building scalable data platforms and excited about enabling Advanced Analytics and AI in the near future?We're looking for a hands-on BI & Data Engineering for AI who wants more than just maintaining BI dashboards.This role is about owning and evolving our entire data ecosystem, connecting complex enterprise systems, and laying the technical foundations that will power AI initiatives across the company.If you enjoy combining engineering depth, architecture thinking, and business impact, this challenge is for you.Your missionAs part of the IT team, you will ensure the reliability, performance, and continuous evolution of our AWS-based data platform (Redshift, S3 and orchestration services), supporting analytics and BI tools.At the same time, you will progressively take ownership of data governance, integrations, and scalable data architecture, creating a trusted and accessible data foundation that enables future AI and advanced analytics initiatives.You will help rethink how information flows across the company.What you'll doData Platform & EngineeringMaintain, optimize, and evolve our AWS data platform.Enable BI and self-service analytics tools (Power BI or similar) through curated datasets.Design data models, curated datasets, and business-oriented data marts.Build and manage reliable ETL/ELT pipelines.Implement orchestration using AWS Glue, Step Functions, Lambda, EventBridge, AppFlow, and similar services.Ensure monitoring, alerting, and operational excellence with CloudWatch.Integrations & ArchitectureConnect enterprise systems (SAP, CRM, e-commerce, Veeva, etc.) through APIs and batch/event-driven pipelines.Design scalable and maintainable data flows and contracts.Improve accessibility, consistency, and quality of data across platforms.Data GovernanceDefine and enforce data quality, ownership, documentation, lineage, and access standards.Bring structure and visibility to a distributed data landsca