A Lead Data Engineer plays a critical role in designing, developing, and optimizing high-quality data pipelines to drive analytics and business intelligence solutions. This role empowers data-driven decision-making by leveraging deep expertise in data architecture, engineering, analysis, and reporting, with a foundational understanding of data science techniques. The ideal candidate will be a skilled data and software engineer experienced in creating data products that enhance analytics capabilities.Job Location: Abu Dhabi, United Arab Emirates
Job Industry: Information Technology & Services
Job Function: Data Engineering & Analytics
Salary: Negotiable
Gender: AnyKey Responsibilities:- Design, develop, optimize, and maintain data architecture and pipelines aligned with ETL principles and business goals
- Solve complex data challenges to deliver actionable insights that drive business success
- Develop and implement data products for analytics and data science teams to enhance efficiency and productivity
- Mentor and advise data and analytics professionals on best practices in data engineering
- Foster a culture of collaboration, standardization, and operational efficiency in data solutions
- Evaluate, implement, and deploy emerging technologies to improve team productivity in analytic data engineering
- Develop communication and training plans for analytic data engineering capabilities, standards, and processes
- Collaborate with business analysts and solution architects to design strategic data architectures for enterprise initiatives
- Contribute to the development and delivery of data science training as part of the advanced analytics and digital academy
- Perform additional duties as assignedJob Requirements:- Bachelor's or Master's degree in Computer Science, MIS, or Engineering preferred
- Minimum 5 years of experience in data engineering or architecture (7+ years preferred)
- Expertise in SQL and experience with programming languages such as Python, R, or Scala
- Experience developing and maintaining data warehouses in big data environments
- Strong domain knowledge in metals, mining, energy, heavy industry, oil & gas, or a combination of these sectors
- Proficiency in data analytics and programming languages such as R, Python, Spark, Java, and Scala
- Hands-on experience with BI tools like Tableau, Power BI, Looker, Shiny, or Qlik
- Experience developing solutions on cloud platforms such as Azure, Spark, or Google Cloud (preferred)
- Strong background in data architecture, including data retention policies, performance monitoring, and infrastructure scaling
- Knowledge of data governance, warehousing, structured and unstructured data, and ETL tools like Informatica, Alteryx, or SAP Data Services
- Experience working with big data technologies, including Hadoop, BigQuery, Hive, Impala, and Kafka (preferred)
- Familiarity with AI, machine learning, computer vision, and applied mathematics
- Exposure to Industry 4.0 applications such as big data, autonomous robots, system integration, cloud computing, additive manufacturing, and augmented reality
- Experience in automation and control systems is an advantageDecision-Making & Authority:- Works within broadly defined policies and functional objectives
- Determines project plans, priorities, and processes to achieve objectives
- Requires approval for actions impacting other functional areasAgile & Digital Skills:- Experience working in collaborative Agile product teamsSoft Skills & Mindset:- Self-motivated with strong problem-solving and adaptability skills
- Ability to navigate changing project directions and business priorities
- Excellent communication, listening, and stakeholder engagement skills
- Flexibility in adjusting approaches based on input and consensus-buildingWhat We Offer:- Competitive salary and benefits package
- Opportunities for professional growth and career development in a dynamic, data-driven environment
- Exposure to cutting-edge data technologies and advanced analytics solutions
- A collaborative and innovative workplace cultureAbout the Company:New York University Abu Dhabi (NYUAD) is a globally recognized institution dedicated to academic excellence, research innovation, and fostering an inclusive learning environment. With a strong emphasis on technology and analytics, NYUAD is committed to advancing digital transformation through data-driven solutions. Join us to be part of a dynamic team shaping the future of data engineering in a leading international institution.Job Title Lead Data Engineer
A Lead Data Engineer plays a critical role in designing, developing, and optimizing high-quality data pipelines to drive analytics and business intelligence solutions. This role empowers data-driven decision-making by leveraging deep expertise in data architecture, engineering, analysis, and reporting, with a foundational understanding of data science techniques. The ideal candidate will be a skilled data and software engineer experienced in creating data products that enhance analytics capabilities.Job Location: Abu Dhabi, United Arab Emirates
Job Industry: Information Technology & Services
Job Function: Data Engineering & Analytics
Salary: Negotiable
Gender: AnyKey Responsibilities:- Design, develop, optimize, and maintain data architecture and pipelines aligned with ETL principles and business goals
- Solve complex data challenges to deliver actionable insights that drive business success
- Develop and implement data products for analytics and data science teams to enhance efficiency and productivity
- Mentor and advise data and analytics professionals on best practices in data engineering
- Foster a culture of collaboration, standardization, and operational efficiency in data solutions
- Evaluate, implement, and deploy emerging technologies to improve team productivity in analytic data engineering
- Develop communication and training plans for analytic data engineering capabilities, standards, and processes
- Collaborate with business analysts and solution architects to design strategic data architectures for enterprise initiatives
- Contribute to the development and delivery of data science training as part of the advanced analytics and digital academy
- Perform additional duties as assignedJob Requirements:- Bachelor's or Master's degree in Computer Science, MIS, or Engineering preferred
- Minimum 5 years of experience in data engineering or architecture (7+ years preferred)
- Expertise in SQL and experience with programming languages such as Python, R, or Scala
- Experience developing and maintaining data warehouses in big data environments
- Strong domain knowledge in metals, mining, energy, heavy industry, oil & gas, or a combination of these sectors
- Proficiency in data analytics and programming languages such as R, Python, Spark, Java, and Scala
- Hands-on experience with BI tools like Tableau, Power BI, Looker, Shiny, or Qlik
- Experience developing solutions on cloud platforms such as Azure, Spark, or Google Cloud (preferred)
- Strong background in data architecture, including data retention policies, performance monitoring, and infrastructure scaling
- Knowledge of data governance, warehousing, structured and unstructured data, and ETL tools like Informatica, Alteryx, or SAP Data Services
- Experience working with big data technologies, including Hadoop, BigQuery, Hive, Impala, and Kafka (preferred)
- Familiarity with AI, machine learning, computer vision, and applied mathematics
- Exposure to Industry 4.0 applications such as big data, autonomous robots, system integration, cloud computing, additive manufacturing, and augmented reality
- Experience in automation and control systems is an advantageDecision-Making & Authority:- Works within broadly defined policies and functional objectives
- Determines project plans, priorities, and processes to achieve objectives
- Requires approval for actions impacting other functional areasAgile & Digital Skills:- Experience working in collaborative Agile product teamsSoft Skills & Mindset:- Self-motivated with strong problem-solving and adaptability skills
- Ability to navigate changing project directions and business priorities
- Excellent communication, listening, and stakeholder engagement skills
- Flexibility in adjusting approaches based on input and consensus-buildingWhat We Offer:- Competitive salary and benefits package
- Opportunities for professional growth and career development in a dynamic, data-driven environment
- Exposure to cutting-edge data technologies and advanced analytics solutions
- A collaborative and innovative workplace cultureAbout the Company:New York University Abu Dhabi (NYUAD) is a globally recognized institution dedicated to academic excellence, research innovation, and fostering an inclusive learning environment. With a strong emphasis on technology and analytics, NYUAD is committed to advancing digital transformation through data-driven solutions. Join us to be part of a dynamic team shaping the future of data engineering in a leading international institution.
Post DetailsJob Start Date
Salary from 0.00
Salary to 0.00
Number of Vacancies 1
Location -Location City DubaiDesired Candidate's Profile
Gender No Preference
Nationality
Candidate Current Location

Careers in Gulf