Cosmote Global Solutions NV is seeking a Data & AI Engineer to join our ICT team. As part of the OTE Group of Companies, we deliver cutting-edge ICT solutions and services across Cloud Services, Data Centre operations, Networking, Cybersecurity, Business Intelligence, Big Data, and more. In this role you will design, develop, and deploy core platform components with a focus on data engineering, analytics, and AI-enabled capabilities. You will work with structured and unstructured data to enable reporting, advanced analytics, and AI-driven use cases, collaborating closely with architects, developers, project leaders, and stakeholders to deliver scalable, high-performance data solutions that meet evolving client needs. Responsibilities include developing and maintaining data pipelines that integrate multiple heterogeneous data sources (structured and unstructured); implementing data ingestion processes, including batch and near-real-time processing; performing data cleansing, validation, and standardization to ensure reliable datasets; applying metadata tagging and supporting data lineage across data flows; contributing to the development and maintenance of the Data and Product Catalogue; implementing data quality checks, validation rules and monitoring mechanisms; supporting data quality remediation in collaboration with Data Stewards and governance teams; creating reusable datasets and data products from heterogeneous sources; designing solutions that combine structured data with unstructured data; transforming unstructured information into analysis-ready formats; enabling

Cosmote Global Solutions NV is seeking a Data & AI Engineer to join our ICT team. As part of the OTE Group of Companies, we deliver cutting-edge ICT solutions and services across Cloud Services, Data Centre operations, Networking, Cybersecurity, Business Intelligence, Big Data, and more. In this role you will design, develop, and deploy core platform components with a focus on data engineering, analytics, and AI-enabled capabilities. You will work with structured and unstructured data to enable reporting, advanced analytics, and AI-driven use cases, collaborating closely with architects, developers, project leaders, and stakeholders to deliver scalable, high-performance data solutions that meet evolving client needs. Responsibilities include developing and maintaining data pipelines that integrate multiple heterogeneous data sources (structured and unstructured); implementing data ingestion processes, including batch and near-real-time processing; performing data cleansing, validation, and standardization to ensure reliable datasets; applying metadata tagging and supporting data lineage across data flows; contributing to the development and maintenance of the Data and Product Catalogue; implementing data quality checks, validation rules and monitoring mechanisms; supporting data quality remediation in collaboration with Data Stewards and governance teams; creating reusable datasets and data products from heterogeneous sources; designing solutions that combine structured data with unstructured data; transforming unstructured information into analysis-ready formats; enabling