Majid Al Futtaim invites you to join us in our quest to create great moments for everyone, everyday! We are the leading shopping mall, residential communities, retail and leisure pioneer across the Middle East, Africa and Asia, serving over 560 million visitors a year. For the past two decades, we have shaped the consumer landscape across the region, transforming the way people shop, live and play, while maintaining a strong sustainability track record and the largest mall in the world to attain LEED Gold EBOM Certification. We have over 40,000 team members in 15 international markets representing over 100 nationalities - all keeping the customer at the heart of everything we do. If you enjoy being BOLD, PASSIONATE and TOGETHER, then Majid Al Futtaim is the destination for you.

ROLE DESCRIPTION

Title:

Senior Data Engineer

Division/Department

Xsight Future Solutions

Reporting to

Location

Senior Manager Data Engineering

Dubai, United Arab Emirates

Role Purpose:

A fundamental first step in driving a data-driven approach to support decision-making, is establishing the optimal data infrastructure to run analyses on. Based in Dubai, and reporting into the Lead Data engineering & Platforms within the central holding company, the role will be responsible for managing delivery for data engineering initaitves and also manage day to day day operations related to supporting various initiatives across the group, Operating companies as well as Advanced Analytics teams.

The role will be responsible for all data extraction, loading, cleansing, managing and operating the data assets as well as manage all integraitons and data delivery pipelines.

Role Details - Key Responsibilities and Accountabilities:

• Data Integration strategy and planning

• Perform analysis and gain insight into a broad range of very large data sets across all application systems in the group
• Ensure that the data and analytics architecture, quality and availability is maintained up to the highest standards and latest best practices
• Consolidate external and internal data and assimilate it into the required format
• Process, cleanse, and verify the integrity of data used for analytics using various various tools including but not limited to infomratica
• Develop data models, data integrations, data pipelines from/to source application systems
• Data flows operations and maintenance

• Maintain the overall Data lake and data platforms and data models, in addition to integration interfaces needed to extract, transform and load (ETL) data from the appropriate sources
• Support internal colleagues and consultants with the ETL process to ensure data is delivered properly
• Take the lead on maintenance and support required on the data
• Provide comprehensive support to all relevant stakeholders to ensure proper compliance with data governance policies and standards
• Data science and analytics

• Identify needs of Advanced analytics based on use cases and support Analytics BP and Data Scientists
• Work closely with internal and external data science teams to understand data models and enable them in data exploration, fast prototyping (including supervised and unsupervised learning approaches) and improving performance.
• Prototype to production

• Manage internal and vendor resoruces and be responsible for all agreed delivry schedules
• Provide guidance on best practices for scalable data processing
• Communicate data requirements and dependencies with stakeholders, while also dimensioning resource and hardware requirements of production systems
• Mitigate possible data risks and planning, supporting and performing system / application upgrades to address them
• Collaborations and Interactions with Other Teams

• Develop strong relationships and work collaboratively with different stakeholders and IT professionals to understand their needs and current infrastructure
• Work closely with consultants to oversee delivery of any externally provided infrastructure
• Liaise with various internal teams on data deliveries, setting up a QA system, and addressing any anomalies or gaps in the data.

Definition of Success

Functional/Technical Competencies

The successful candidate will have an exceptional track record of strategically planning, building and leading world-class data infrastructure within large, complex businesses.

They will have deep technical expertise, including familiarity with the latest techniques in extracting, transforming, loading and linking structured and unstructured data across multiple touch-points, both on- and offline, from numerous sources.

They will be an inspiring leader and change agent, capable of articulating and presenting a clear and compelling vision, and taking a complex organization on a journey.

Summary of required experience and attributes

• DATA LEADERSHIP

• Expert in building, leading and maintaining large-scale data infrastructure platforms
• Excellent understanding of data management infrastructure solutions and their trade-offs, including data warehouse, ETL and relational database architecture, cloud and distributed database architectures (e.g., HDFS, HIVE, MapReduce, Spark, PostgreSQL, MySQL, AWS S3, HBASE, VERTICA, Scyla, Informatica BDM/BDS,)
• Strong experience in management of distributed systems and technologies (e.g., Apache Mesos, Apache YARN, Marathon, Hadoop/HDFS)
• Advanced skill in of one, or more, of the following data integration/ETL/ELT tools: Informatica, Talend, SSIS, DataFlow, Spark, APIgee, Mulesoft. Informatica skills preferred.
• Expert level skill in SQL
• Advanced skills in data design for analytics including relational and NoSQL.
• Knowledge of at least one scripted language (e.g. Python, Perl, Shell), including its scientific / statistical packages.
• CHANGE AGENT - Strong communication skills and experience with change management to help change mindsets and behaviors across the organization
• PRODUCT MINDSET - Understand and imbibe the product vision for the data engineering Platform and manage each new requirement or change request in a highly cohesive fashion.
• PEOPLE LEADERSHIP - Confident, engaging people leader, able to communicate a vision and bring along on the journey
• ANALYTICAL, COMMERCIAL MINDSET - Highly analytical with a structured problem-solving approach and a strong business acumen

Personal Characteristics and Required Background:

Personal Characteristics

• Will be a proactive problem solver with immediate professional and intellectual credibility and an impactful style. Will be collaborative, low-ego, pragmatic, and excited about Majid Al Futtaim. Will live and breathe Majid Al Futtaim\'s values.

Minimum experience

• 5+ years of experience with data analysis and preparation, including considerable experience with very large data sets and unstructured data.

Minimum Qualifications/education

• Bachelor\'s degree in computer science from a top university
• Certifications in statistics, data mining and machine learning a plus

Majid Al Futtaim