Head of IT – Data & Analytics Platform
Qatar Duty Free
Location Doha, Qatar
منذ 2 يوم

We have embarked on a major digital transformation and we are looking for tech professionals like you, who are keen to use modern technologies to change how millions of users connect, explore, and transact on our digital channels.

We want you to bring fresh ideas from all domains, including data engineering, large-scale system design, UI development, mobile applications and so on.

You should be talented, versatile, enthusiastic and display leadership qualities.Let’s talk about our vision to you. Qatar Airways is a global leader with innovative products that are recognized by the industry.

Digital and analytics is a key part of enabling our bright future. We embarked on a journey to re-engineer how we deliver digital products and make technology a core business differentiating capability and we need you to carry out this vision.

Hence, if you are looking for a fast pace work environment where you can gain a once in a lifetime transformation experience, and have the opportunity to make multi-billion dollar impact then reach out to us and tell us how you can be a leader in our team.

The Head of IT Data & Analytics Platforms will be responsible for driving and implementing the strategy and plans to grow and evolve our scalable and extensible data platform to meet the changing and fast-growing business needs as well as efficiently integrate data from a plethora of sources.

The data platform is the critical foundation for our business to drive measurable outcomes for our clients.

Roles & Responsibility

Own the strategic vision and the technology roadmap for our data platform in order to meet the data needs of various stakeholders across multiple business units.

Define and implement best practices for all data governance and data integration processes and tools.

Define and implement an operating model that delivers optimum ways of working across the data engineering, science and analysis practices.

Deliver and execute a plan to modernise the data infrastructure and tools in order to efficiently support both operational and analytical data workloads.

The plan should deliver a highly scalable data lake architecture for optimal data processing.

Ensure proper data governance and data security measures are established via processes and technologies.

Establish and facilitate optimal project governance and decision making structures, such as Steering Committee and Working Groups, to ensure smooth, efficient and risk-managed programme delivery.

Develop change management strategies and approaches to ensure transformational programs can be delivered effectively and business adoption is achieved.

Safeguard the solutions against IT / Cyber security threats through appropriate design and controls; and ensure full compliance with IT Security policies and standards.

  • Enable smooth business operations by ensuring high availability of the systems through appropriate design and architecture;
  • and comply with IT availability and business continuity management processes and standards.

    Provide technical expertise and support for managing highly complex bespoke data processing needs.

    Effectively and collaboratively prioritise data related projects, balancing goals and dependencies from internal and external stakeholders, including product teams, technology, marketing, business leaders and partners.

    Qualifications :

    Relevant College or University qualification to min Bachelor's level

    Previous Experience :

  • Minimum 10 years relevant experience
  • Very advanced knowledge and experience in data engineering, data modelling, data optimization
  • Experience with big data architectures and data modelling to efficiently process large volumes of data.
  • Experience implementing Real Time , Batch and Stream Analytics
  • Experience in setting up and operating large data warehouses, SQL & NoSQL databases
  • Experience in Hadoop big data ecosystem and distributed computing
  • Experience in implementing Data Security
  • Experience in data modelling, application design, Micro Services architecture, data optimization, application development frameworks
  • Job Specific Skills

  • Exposure to application frameworks and architectures such as Spring, Node JS, Angular, Micro Services
  • Exposure to DevOps framework
  • Exposure to Cloud technologies
  • Exposure to programming languages such as Java, Python, Scala
  • Experience in Snowflake, MS Azure SQL Warehouse, Dremio or similar
  • Exposure to data science / analytics / stats packages and libraries
  • Very good command of English
  • Demonstrated success in building an environment which fosters and rewards collaboration, accountability, and trust
  • Excellent communication and relationship building skills across every level of the organization,
  • Experience applying Agile to data engineering.
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