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Director, Data Engineering
Director, Data Engineering-March 2024
Riyadh
Mar 21, 2025
ABOUT PUBLICIS SAPIENT
Publicis Sapient uses strategy, consulting, experience, engineering, and a culture of problem-solving creativity, to help our clients thrive.
10,000+ employees
Consulting, Technology
VIEW COMPANY PROFILE >>
About Director, Data Engineering

  Description

  What will you do?

  Deliver state-of-the-art data solutions for a range of financial services clients across the retail, commercial, investment, and challenger bank sectors.Lead PS transformation in superior engineering approach towards dataHelp to develop state-of-the-art solutions that unlock the value of clients' data for their organization together with AI, machine learning, and analytics teamsBring tried and tested consulting skills honed in client-facing rolesEngage with business and technology stakeholders all the way to C-Level, appropriately increasing/decreasing the level of detail for your audienceProvide and develop data thought leadership across PS

  The role requires a hands-on technologist with expertise in Big Data, Cloud, Batch and Streaming based data solutions, providing strategic and tactical direction to teams and customers especially in the areas of marketing and technology. The individual should have a strong programming background in technologies like Java/Scala/Python along with Spark and other related computing frameworks.

  As a data engineering practitioner, you will also have a strong point of view on and understanding of build vs. buy, performance considerations, hosting, business intelligence and reporting & analytics. Ideally, you will also have experience in integrating data with marketing scenarios like segmentation, targeting, consumer 360 view etc.

  Qualifications

  Benefits of Working Here:

  Fully paid annual leave of 22 working daysFree private health insurance extended to employee and direct dependentsReturn air ticket to home country per year to employee and direct dependentsSchooling allowance offered based on the policy

  Additional Information

  Publicis Sapient is a digital transformation partner helping established organisations get to their future, digitally-enabled state, both in the way they work and the way they serve their customers. We help unlock value through a start-up mindset and modern methods, fusing strategy, consulting and customer experience with agile engineering and problem-solving creativity. United by our core values and our purpose of helping people thrive in the brave pursuit of next, our 20,000+ people in 53 offices around the world combine experience across technology, data sciences, consulting and customer obsession to accelerate our clients' businesses through designing the products and services their customers truly value.

  Company Description

  What will you do?

  Deliver state-of-the-art data solutions for a range of financial services clients across the retail, commercial, investment, and challenger bank sectors.Lead PS transformation in superior engineering approach towards dataHelp to develop state-of-the-art solutions that unlock the value of clients' data for their organization together with AI, machine learning, and analytics teamsBring tried and tested consulting skills honed in client-facing rolesEngage with business and technology stakeholders all the way to C-Level, appropriately increasing/decreasing the level of detail for your audienceProvide and develop data thought leadership across PS

  The role requires a hands-on technologist with expertise in Big Data, Cloud, Batch and Streaming based data solutions, providing strategic and tactical direction to teams and customers especially in the areas of marketing and technology. The individual should have a strong programming background in technologies like Java/Scala/Python along with Spark and other related computing frameworks.

  As a data engineering practitioner, you will also have a strong point of view on and understanding of build vs. buy, performance considerations, hosting, business intelligence and reporting & analytics. Ideally, you will also have experience in integrating data with marketing scenarios like segmentation, targeting, consumer 360 view etc.

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