Big Data Domain Senior Engineer

Full Time @ Vodafone Sector: Computer, Software & IT
  • Doha, Qatar View on Map
  • Date Posted : September 29, 2022
  • Salary: Negotiable
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About the job

Role Purpose:

The Data & Analytics domain is an integral component in the Product Development department, delivering data engineering and analytical modelling solutions to provide data-driven decision-making capabilities, operational intelligence, business performance and customer behavioral analysis, dynamic offering campaigns and profitability analysis. The domain plays a major role in Vodafone Qatar’s key organisational strategies, focused on digital and data.

With us you will:

  • Manage the domain key delivery streams: Data Engineering, Advanced Analytics and Data Integration. This includes domain governance, stakeholder management and vendor management by working collaboratively and cross functionally to develop meaningful relationships to achieve business goals
  • Manage Projects delivery on time, on budget and to scope, manage onshore/ offshore vendors and internal/external stakeholders,
  • Ongoing development of new capabilities is a primary focus as well as playing key roles in delivering transformation initiatives across domains
  • Manage, direct, motivate and coach the team of domain professionals
  • Support Operations where required, to maintain the environments performance and data quality KPIs
  • Develop and maintain a roadmap, driving transformation, to ensure business and technology demand is met in the future
  • Support business growth by maintaining scalable data architecture and information models
  • Projects and program delivery on time, within budget and up to required quality.
  • Vendor performance management & Motivation of team and performance evaluation.

Skills

  • Bachelor’s Degree in Information Systems, Computer Science (or similar)
  • IT/Telco architecture, design, and business processes
  • 10+ years of Data Management, Analytics and BI domain in IT/Telco Industry
  • 5+ years of team management
  • A dedicated professional who can build and lead the team in proper direction by aligning individual goals with company’s goals
  • Know about the best practices in Enterprise Data Engineering, Analytics and Business Intelligence with strong understanding of CVM analytical needs, campaign segmentation, financial analysis and sales performance.
  • Holds vast experience in design strategies, optimization techniques and Data Architecture skills.
  • Experience in stakeholders, vendor, and team Management
  • Must have effective communication skills.

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