12 Database Management jobs in the United Arab Emirates

Job Purpose:

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

Key Responsibilities:

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

Key Relationship (Internal & External):

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

Job Specification

Education

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

Work Experience:

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

Technical Competencies

• 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.
• Handson experience on using and implementing use cases on OpenAI , DeepSeek and TensorFlow etc
• Skilled in deploying AI models using cloud platform such as AWS , Azure or Google etc
• Deep understanding of model governance and open analytics.
• Excellent communication and stakeholder management skills.
• Ability to manage complex projects and drive organizational.

Transformative AI Solutions: A Data Scientist's Dream Role

About this exceptional opportunity: We're seeking a highly skilled Senior Data Scientist to spearhead the design, development, and implementation of cutting-edge statistical models and data-driven solutions for our esteemed clients.

Job Description:

• Develop and implement risk models for treasury operations, corporate lending, wholesale banking, and liquidity management, with a deep understanding of the underlying business context.

Key Responsibilities:

• Build RAROC and RAC optimization frameworks to enhance risk-adjusted returns and capital allocation across business lines.
• Create statistical models for corporate credit risk, including PD, LGD, and EAD models for lending decisions and portfolio management.
• Provide subject matter expertise on Basel requirements, regulatory capital models, and stress testing frameworks.
• Collaborate with business stakeholders in treasury, risk, and corporate banking to translate business requirements into statistical solutions.

Requirements:

• 8+ years of experience in data science and statistical modeling within banking/financial services.
• Proven track record developing risk models for corporate banking, wholesale banking, or treasury functions.
• Advanced degree in Statistics, Mathematics, Data Science, or related quantitative field preferred.
• Strong proficiency in Python and relevant statistical/ML frameworks, coupled with a deep understanding of statistical concepts.
• Hands-on experience with regulatory capital models and Basel framework.
• Strong problem-solving skills and attention to detail.

Benefits & Growth Opportunities:

• Competitive compensation package.
• Comprehensive health insurance.
• Professional development and certification support.
• Opportunity to work on innovative AI projects.
• International exposure and travel opportunities.
• Flexible working arrangements.
• Career advancement opportunities in a rapidly growing AI company.

This role offers a unique chance to shape the future of AI implementation while working with a talented team of professionals at the forefront of technological innovation. The successful candidate will play a crucial part in driving our company's success in delivering transformative AI solutions to our clients.

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

We are seeking an experienced professional to drive critical data gap analysis and modeling work across AI and transformation initiatives.

This forward-thinking role combines business, data, and consulting expertise. The successful candidate will partner with senior stakeholders to understand requirements, map them to existing data assets, identify gaps, and structure findings into clear recommendations for decision-makers.

The ideal candidate will combine a strong grounding in banking data domains with the ability to think ahead about emerging technologies Generative AI intelligent metadata tools reshape how we design manage discover data.

• Lead gap analysis data requirements vs existing assets producing clear mappings structured outputs.
• Translate AI use cases regulatory business needs conceptual logical data models.
• Engage SMEs Risk Finance Treasury CIB RBG elicit requirements validate data assumptions.
• Assess document data quality integrity coverage gaps recommend remediation paths.
• Build reusable data models dictionaries aligned enterprise data strategy governance.
• Partner engineers architects ensure future-proof designs factoring AI-driven tools evolve modelling landscape.
• Produce clear deliverables models frameworks recommendations senior stakeholders governance forums.
• Mentor guide junior analysts consultants uplift overall modelling capability.

• Bachelor's Master's Finance Engineering Computer Science related field.
• 8-12 years experience data modelling data strategy data-driven consulting exposure banking financial services.
• Proven ability translate business problems structured data requirements communicate clearly.
• Experience conceptual logical data modelling physical schema design.
• Strong consulting toolkit structured problem-solving stakeholder management clear communication.
• Solid understanding banking domains CRM Client 360 Risk Finance Treasury regulatory reporting.
• Hands-on experience data modelling tools next-gen approaches.
• Proficiency querying databases SQL sufficient validate profile data.

This position offers unique opportunity shape future AI implementation working talented team professionals forefront technological innovation. Successful candidate play crucial role driving company success delivering transformative AI solutions clients.

• Competitive salary performance bonuses
• Comprehensive health insurance
• Professional development certification support
• Opportunity work cutting-edge AI projects
• International exposure travel opportunities
• Flexible working arrangements
• Career advancement opportunities rapidly growing AI company

Our organization seeks a highly skilled professional to design and implement AI/ML models for financial use cases. This includes credit scoring, anomaly detection, and portfolio optimization.

• Design, develop, and validate machine learning models to drive business value
• Collaborate with cross-functional teams to translate complex technical concepts into actionable insights
• Conduct exploratory data analysis and feature engineering to improve model performance

• Master's or Ph.D. in Data Science, Statistics, or related field
• Strong understanding of financial data and modeling concepts

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.

Position Overview

First Abu Dhabi Bank is hiring an experienced Data Architect to lead enterprise-wide data modeling and lakehouse architecture initiatives in Abu Dhabi. This role is ideal for a data specialist with deep expertise in Databricks, Unity Catalog, and dimensional modeling within the banking domain. You will be responsible for building robust Gold layer structures, managing metadata and governance, and optimizing data infrastructure for performance and compliance.

Job Details

Location: United Arab Emirates

Location: Abu Dhabi

Industry: Information Technology (IT)

Function: Software Engineering / Development

Gender: Any

Candidate Nationality: Any

Candidate Preferred Location: Any

Job Type: Full-time

Core Duties

* Design and implement enterprise-scale Gold-tier data models using Databricks Lakehouse architecture

* Lead dimensional modeling initiatives including fact/dimension designs and conformed dimensions

* Administer Unity Catalog: schemas, access controls, asset tagging, and audit tracking

* Optimize Delta Lake performance (e.g., z-ordering, caching, partitioning, file sizing)

* Develop and enforce data definitions, metadata standards, and semantic consistency

* Create and maintain business glossary and data dictionary assets

* Implement lineage and observability frameworks using Unity Catalog or third-party tools

* Write high-performance SQL and PySpark queries for batch orchestration and rollback strategies

* Ensure regulatory compliance including record retention, PII masking, and data access management

Candidate Requirements

* 10+ years of experience as a Data Architect, Data Modeler, or Data Engineer

* Proficiency in Dimensional Modeling and Star Schema design

* Expert in Databricks (Delta Lake, DBSQL, Spark) and Unity Catalog administration

* Familiarity with Airflow or native Databricks Workflows for orchestration

* Strong skills in advanced SQL and intermediate PySpark

* Hands-on experience with lineage tools such as Collibra, Atlan, or Unity native

* Understanding of banking products and customer lifecycle metrics

* Knowledge of governance policies and regulatory data requirements in banking