JOB OPPORTUNITY
AI Data Engineer
Proleaders Company - شركة نخبة القادة
JOBLYIN SUMMARY
Job Overview
This position is offered by Proleaders Company - شركة نخبة القادة, in Giza, Al Jizah, Egypt, as a Full-time role, with a On-site work arrangement. The job details and listed requirements below are based on the original job posting.
COMPANY PROFILE
About the Company
AI
Proleaders Company - شركة نخبة القادة is a dynamic organization focused on connecting skilled professionals with meaningful career opportunities. The company specializes in facilitating employment through a platform that emphasizes expertise and leadership potential. While specific industry details are not provided, the job titles such as AI Data Engineer suggest an interest in technology-driven roles and advanced skill sets. Proleaders Company likely operates within sectors requiring specialized technical knowledge and strategic thinking. The platform is designed to support both job seekers and employers by offering a streamlined approach to talent acquisition. By highlighting key competencies and aligning candidates with relevant opportunities, the company aims to enhance professional growth and organizational success.
ORIGINAL JOB DESCRIPTION
About the Job
Company Description Proleaders Company - شركة نخبة القادة is a training solutions provider focused on empowering individuals and organizations through innovative, practical learning programs. The company designs customized training that aligns with labor market needs and supports participants in achieving their professional and educational goals. Its team of experienced trainers delivers interactive, engaging sessions across linguistic, administrative, and technical disciplines. All programs are based on modern educational methods and best practices, with a strong emphasis on hands-on application and measurable outcomes. Proleaders Company is committed to continuous improvement, high training quality, and meeting client needs in a professional, learner-centered environment. Role Description The AI Data Engineer is a full-time, on-site role based in Giza. The role focuses on designing, building, and maintaining data pipelines that support AI and analytics initiatives for the company’s training and business operations. Day-to-day tasks include developing and optimizing ETL processes, integrating data from multiple sources, and implementing data models and warehouses that enable reliable reporting and machine learning workflows. The AI Data Engineer will work closely with data analysts, AI specialists, and business stakeholders to ensure data quality, performance, and security. The role also involves documenting data architectures, monitoring system performance, and contributing to the continuous improvement of data and AI infrastructure. Qualifications 3 years of professional experience in Data Engineering. Proven 1–2+ years of hands-on experience specifically with Generative AI (GenAI) data pipelines, RAG architectures, or LLM data preparation. Technical Skills: Strong proficiency in Python and SQL. Hands-on experience with Relational and Vector Databases (PostgreSQL, pgvector, or alternatives like Pinecone/Milvus). Advanced knowledge of Data Anonymization, Masking techniques, and data security best practices. Familiarity with Cloud Platforms, specifically Google Cloud Platform (GCP) (e.g., Cloud SQL, Cloud Run, Secret Manager). Solid understanding of software engineering principles, version control (Git), and CI/CD pipeline automation. Prior experience working with OpenAI Agents SDK or the Model Context Protocol (MCP). Relevant certifications (e.g., Google Cloud Professional Data Engineer). Show more
CAREER PROFILE
Role Overview
AI
An AI Data Engineer designs and implements systems to process and analyze large datasets for artificial intelligence applications. They work with various tools and technologies to ensure data quality, integration, and scalability in machine learning pipelines.
REQUIREMENTS
Required Skills
JOB SOURCE
Original Job Listing
This job was found through LinkedIn. You can review the original listing before applying.
