5 Database Management jobs in Dubai

Executive Search & Technical Recruitment Consultant | Global Talent Acquisition Specialist | Human Resources Professional (SHRM & CIPD)

This role will lead the strategic planning, development, and management of the organization's Advanced Analytics Technologies.

• Develop, execute and oversee the organization's advanced technologies strategy to enhance customer engagement and satisfaction.
• Responsible for development, implementation and support of sophisticated ETL tools such as DataStage, Talend.
• Expertise and hands-on experience in using and deploying solutions on platforms such as Data Warehouse, Cloudera, and Big Data.
• Proficiency in NLP tools and deploying use cases for text data processing and model training.
• Ensure seamless integration of these technologies and associated platforms with other enterprise systems and applications.
• Drive adoption of such technologies and tools and provide training to teams for effective utilization.
• Lead the design and implementation of AI-powered solutions to streamline business processes and deliver data-driven insights.
• Collaborate with stakeholders to implement intelligent automation across customer service, sales, marketing, and other business functions.
• Lead cross-functional teams to deliver projects on time and within budget.
• Collaborate with business units, IT, and external vendors to align compliance technology initiatives with organizational priorities.
• Present project updates, progress reports, and strategic plans to senior leadership.
• All the above accountabilities include but are not limited to any additional/new tasks or responsibilities assigned by the line Manager.

• External – Vendors, Regulator, Consultants, Outsourcing Service Supplier
• Internal – Business Units, IT Units, Audits

Min bachelor's degree in IT Engineering with statistics background a plus

Min 12 to 16 years in leading Advanced Analytics roles in financial industries

• Proven experience in leading and managing large-scale analytical projects and teams.
• Strong background in analytics strategy development and implementation.
• Hands-on experience with leading-edge technologies like Data Stage, Talend, Cloudera, Confluent etc.
• Hands-on experience with using and implementing use cases on OpenAI, DeepSeek and TensorFlow etc.
• Skilled in deploying AI models using cloud platforms such as AWS, Azure or Google Cloud.
• Deep understanding of model governance and open analytics.
• Excellent communication and stakeholder management skills.
• Ability to manage complex projects and drive organizational outcomes.

• Mid-Senior level

• Full-time

• Information Technology, Accounting/Auditing, and Product Management

• Banking, Investment Banking, and Financial Services

Referrals increase your chances of interviewing at Talents Tide by 2x

Lead Data Modeling and Analytics Specialist

This role will oversee the strategic planning, development, and management of advanced analytics technologies to enhance customer engagement and satisfaction.

• Develop and implement a comprehensive data modeling strategy to improve customer experience.
• Implement and support sophisticated ETL tools such as DataStage and Talend.
• Deploy solutions on platforms like Data Warehouse, Cloudera, and Big Data using expertise in NLP tools and model training.
• Ensure seamless integration with enterprise systems and applications.
• Drive technology adoption and provide training for effective utilization.
• Design and implement AI-powered solutions to streamline business processes and deliver data-driven insights.
• Collaborate to implement intelligent automation across various business functions.
• Lead cross-functional teams to deliver projects on time and within budget.
• Collaborate to align compliance technology initiatives with organizational priorities.
• Presentation of project updates and progress reports to senior leadership.

Minimum bachelor's degree in IT Engineering with a statistics background.

12-16 years of experience in leading Advanced Analytics roles in financial industries.

• Proven experience in managing large-scale analytical projects and teams.
• Strong analytics strategy development and implementation background.
• Hands-on experience with leading-edge technologies and deployment of use cases on cloud platforms.
• Deep understanding of model governance and open analytics.
• Excellent communication and stakeholder management skills.

The ideal candidate will have a strong background in data administration and reporting, with the ability to thrive in a fast-paced environment. Key responsibilities include maintaining and enhancing the company's reporting system for accurate data tracking and analysis.

Quantitative Researcher Job Description

• We are seeking a skilled Quantitative Researcher to work with us in Dubai. This role involves developing and implementing quantitative models to support our business strategies.

The successful candidate will be responsible for analyzing market data, conducting statistical and scenario-based modeling, and monitoring power markets and pricing trends.

• Develop and implement advanced mathematical models to inform our trading and risk management decisions.
• Analyze large datasets to identify trends and patterns that can help optimize our business performance.
• Collaborate with our engineering and operations teams to integrate models into our decision-making processes.

• Strong proficiency in Python programming language is essential, with experience using libraries for data analysis, modeling, and visualization.
• A solid understanding of statistical modeling, optimization techniques, and data analysis is required.
• Experience working with time series or market data, preferably in energy or commodities markets, is highly valued.

• Competitive salary and equity sign-on bonus.
• Biannual bonus scheme that rewards your hard work.
• Fully expensed technology to match your needs.
• Paid annual leave and a range of benefits.

We are a leading company in the energy industry, and we are looking for talented individuals to join our team. If you have 1+ years of experience in quantitative modeling, data analysis, or a related field, we would love to hear from you.