Start Date
Immediate
Expiry Date
09 Sep, 25
Salary
0.0
Posted On
09 Jun, 25
Experience
0 year(s) or above
Remote Job
Yes
Telecommute
Yes
Sponsor Visa
No
Skills
Good communication skills
Industry
Information Technology/IT
ABOUT US
Egis is an international player active in architecture, consulting, construction engineering and mobility services. We create and operate intelligent infrastructures and buildings that respond to the climate emergency and contribute to more balanced, sustainable and resilient territorial development. Operating in 100 countries, Egis puts the expertise of its 19,500 employees at the service of its clients and develops cutting-edge innovations accessible to all projects. Through its wide range of activities, Egis is a key player in the collective organisation of society and the living environment of citizens all over the world.
With 3,500 employees across 8 countries in the Middle East, Egis has delivered over 700 complex development projects, stimulating economic growth and enhancing quality of life. Ranked among the top ten firms in the Middle East by Engineering News Record (ENR), Egis is committed to sustainable development. The Group’s operations in the Middle East are built on strategic acquisitions and a deep understanding of local market conditions. Egis has long history of providing comprehensive engineering, consulting, and project management services makes it a trusted partner for regional governments, investors, and developers.
ABOUT THE ROLE
We are seeking a highly skilled and proactive professional to join our EPMO team as a Power BI & PMIS Expert, with a strong background in Engineering and Infrastructure projects. This role is pivotal in supporting the digital transformation of our project management practices by enhancing data analytics, automation, systems integration, and organizational awareness of digital solutions. The ideal candidate will bring deep expertise in Power BI dashboards, data validation, project controls, KPIs, and PMIS systems, with proven experience in managing large datasets across projects, programs, and portfolios.