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our companys data & AI Division is looking for a data Engineer to join a leading project! We are looking for a talented data Engineer with a passion for building modern cloud-based data platforms. In this role, you will design and develop scalable data pipelines, build and optimize data warehouse solutions, and ensure the delivery of high-quality, reliable data for analytics and business intelligence. You will work closely with BI developers and business stakeholders to transform complex data into trusted, analytics-ready assets while leveraging modern AWS technologies and AI-powered development tools. Key Responsibilities
* Design and build data warehouse tables and data models, including source-to-target (S2T) mappings based on a layered architecture.
* Develop ETL /ELT processes to extract, transform, cleanse, and migrate data from Oracle source systems into Amazon Redshift.
* Build and maintain automated data pipelines for scheduled data ingestion, validation, reconciliation, and ongoing refresh processes.
* Analyze and re-implement existing procedures and business logic, including complex calculations, as part of cloud migration initiatives.
* Develop outbound data interfaces to support integrations with external systems and public data platforms.
* Implement automated data quality and reconciliation processes while optimizing pipeline performance and cost efficiency.
* Leverage AI tools to accelerate SQL development, technical documentation, and data pipeline implementation.

data & AI Division is looking for a Senior BI & data Engineer Developer to join a leading project! We are looking for an experienced BI & data professional with a strong technical background and a passion for delivering end-to-end data solutions. In this role, you will lead the design and development of modern data platforms, drive technical excellence, manage client relationships, and play a key role in delivering high-impact BI and data engineering projects. Key Responsibilities
* Identify project risks and dependencies early, proactively prevent scope creep, and manage changes against the agreed project scope.
* Stay hands-on by designing the DWH layer and data models while contributing to complex development tasks and performance optimization.
* Lead the adoption of AI tools across the team to improve analysis, SQL development, and technical documentation.
* Manage client relationships, project scope, timelines, and delivery plans, ensuring successful execution from planning through implementation.