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Envision Employment Solutions is currently hiring Senior Data Management Engineers for one of our partners, a global leader in IT Services and IT Consulting.
Job Summary: We are seeking a Senior Data Management Engineer with strong expertise in data architecture, integration, and transformation, particularly using Informatica tools.
The ideal candidate will design and implement end-to-end enterprise data solutions that ensure data accessibility, quality, governance, and scalability across business domains.
You will collaborate with cross-functional stakeholders to translate business requirements into secure, reliable, and high-performance data systems.
. Responsibilities: Design, build, and maintain robust ETL processes and data pipelines using Informatica (PowerCenter, IDQ, or Cloud Data Integration) Develop and optimize data integration workflows for structured and unstructured data sources Ensure data quality, integrity, governance, and security across enterprise platforms Participate in data modeling and architecture discussions Collaborate with data architects, business analysts, and application teams to align data solutions with business requirements Maintain documentation of data flows, transformations, and system architecture Troubleshoot performance bottlenecks and resolve complex data-related issues Support enterprise data governance and metadata management initiatives Benefits & Work Setup Basic salary Social insurance Family Medical Insurance (AXA) Location: New Cairo Work Model: Hybrid – 2 days in the office and 3 days remote.
If assigned to a project, you may be required to work from the client’s premises on a daily basis, depending on the project requirements.
Working Hours: 9 AM to 6 PM Days Off: Fridays and Saturday Bachelor’s degree in Computer Science, Information Systems, or related field 3 to 5 years of experience in data engineering or data management roles Strong hands-on experience with Informatica (PowerCenter, IDQ, or Cloud Data Integration) Strong SQL skills and experience with relational databases (Oracle, SQL Server, etc.
) Solid understanding of data warehousing concepts and enterprise data architecture Experience in data governance and metadata management Familiarity with cloud data platforms (AWS, Azure, or GCP) is a plus Strong analytical and troubleshooting skills Very good communication skills in English
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