Data Engineer

IBM • LLM & Generative AI • Quantum Science & Computing • ETL/ELT • Informatica • DataStage • 1 day ago

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Location

In office (Giza)

Confirmed on the employer's own hiring board on Oct 9, 2026. First seen by Alion on Oct 7, 2026.

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IBM

IBM is an American technology company whose roots go back to the 1911 formation of the Computing-Tabulating-Recording Company, and which has been headquartered in Armonk, New York for decades. It defined mainframe computing, the personal computer standard and much of enterprise data processing, and today concentrates on hybrid cloud built around Red Hat, enterprise AI through the watsonx platform, consulting services and the mainframe and storage systems that still run the world's largest transaction workloads. The company also runs one of the leading quantum computing programmes and consistently ranks among the largest recipients of United States patents.

ibm.com • HQ: Armonk, United States • LLM & Generative AI • Quantum Science & Computing • Quantum Computing Hardware • Servers & Data Center Hardware • Cloud Platforms (IaaS & PaaS) • IT Consulting & Digital Transformation • 5000+ employees • Est. 1911

Tech stack of IBM

Backed by CRV, Valueaddvc, Matrix

A career in IBM Consulting is built on long-term client relationships and close collaboration worldwide. You’ll work with leading companies across industries, helping them shape their hybrid cloud and AI journeys. With support from our strategic partners, robust IBM technology, and Red Hat, you’ll have the tools to drive meaningful change and accelerate client impact. At IBM Consulting, curiosity fuels success. You’ll be encouraged to challenge the norm, explore new ideas, and create innovative solutions that deliver real results. Our culture of growth and empathy focuses on your long-term career development while valuing your unique skills and experiences. As a Data Engineer specializing in Data Integration, you will design and build solutions to transfer data from operational and external environments to the business intelligence environment. You will utilize specialized tools to create and implement Extract, Transform, and Load (ETL) processes, ensuring the seamless flow of data throughout the business intelligence solution's lifecycle. Your primary responsibilities will include:

Design Data Integration Solutions: Create solutions to transfer data from operational and external environments to the business intelligence environment, utilizing tools such as Informatica, Ab Initio software, and DataStage.
Implement ETL Processes: Develop and implement Extract, Transform, and Load (ETL) processes to ensure the seamless flow of data throughout the business intelligence solution's lifecycle.
Utilize Specialized Tools: Apply knowledge of Informatica, Ab Initio software, and DataStage to design and build data integration solutions.
Ensure Seamless Data Flow: Ensure the smooth flow of data throughout the business intelligence solution's lifecycle by creating and implementing effective ETL processes.
Support Business Intelligence: Support the business intelligence environment by designing and building solutions to transfer data from operational and external environments.
Exposure to Data Integration Tools: Familiarity with tools such as Informatica, Ab Initio software, and DataStage (formerly Ascential) - IBM's WebSphere Data Integration Suite.
ETL Process Implementation: Experience working with Extract, Transform, and Load (ETL) processes to ensure the seamless flow of data throughout the business intelligence solution's lifecycle.
Data Solution Design: Exposure to designing solutions to transfer data from operational and external environments to the business intelligence environment.
Business Intelligence Environment: Experience working within a business intelligence environment, supporting data integration solutions.
Data Flow Management: Exposure to ensuring the smooth flow of data throughout the business intelligence solution's lifecycle.
Additional Data Integration Tools: Exposure to other data integration tools beyond Informatica, Ab Initio software, and DataStage can be beneficial in this role.
Advanced ETL Techniques: Experience working with advanced ETL techniques and methodologies can enhance the ability to design and implement efficient data integration solutions.
Business Intelligence Platforms: Familiarity with various business intelligence platforms can support the development of effective data integration solutions. Egypt Data & Analytics Hybrid Professional Giza, EG (0040) IBM World Trade Corp - Egypt Branch