6 Databases 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.

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.

This role has been designed as 'Hybrid' with an expectation that you will work on average 2 days per week from a designated office.

Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today's complex world.

We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and we are a force for good.

• Act as a trusted advisor to partners (VARs, distributors, SIs, ISVs, MSPs), aligning HPE storage strategy with their business priorities.
• Build and execute joint business plans to accelerate revenue, profitability, and pipeline.
• Communicate HPE's global and local storage strategy to enable effective sell-to, sell-with, and sell-through motions.
• Develop deep knowledge of partner priorities, market trends, and IT investments to differentiate HPE solutions.
• Lead with business value and sales leadership, strengthening long-term relationships to grow market share.
• Coordinate sales cadence, enablement, marketing, forecasting, and executive engagement with partners.
• Tailor solutions across primary storage, unstructured data, cyber resiliency, and aaS models to customer needs.
• Recruit, develop, and grow new partner relationships while ensuring compliance with HPE standards.
• Act as a pipeline enabler, ensuring partners have tools, knowledge, and motivation to prioritise HPE.

• Bachelor's degree or equivalent experience.
• 5+ years of partner-led sales experience.

• Health & Wellbeing: We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing.
• Personal & Professional Development: We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have — whether you want to become a knowledge expert in your field or apply your skills to another division.
• Unconditional Inclusion: We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good.

• Accountability, Active Learning, Active Listening, Assertiveness, Bias, Building Rapport, Buyer Personas, Coaching, Complex Sales, Creativity, Critical Thinking, Cross-Functional Teamwork, Customer Experience Strategy, Customer Interactions, Design Thinking, Empathy, Financial Acumen, Follow-Through, Growth Mindset, Identifying Sales Opportunities, Industry Knowledge, Intellectual Curiosity, Long Term Planning, Managing Ambiguity

Database Developer

As a skilled database developer, you will play a pivotal role in shaping the backbone of our organization's data management systems.

• Main Responsibilities:
• Design, develop, and implement complex relational data models to support business needs.
• Develop high-performance PL/SQL packages, procedures, triggers, and functions to optimize data processing.
• Built and maintain ETL processes using Oracle Data Integrator (ODI) to ensure seamless data integration.
• Create OBIEE dashboards and reports based on business requirements, providing actionable insights for informed decision-making.
• Troubleshoot and resolve PL/SQL code issues, database performance bottlenecks, and integration errors with precision and speed.
• Perform routine maintenance and enhancement of existing data solutions, ensuring they remain scalable and efficient.

Key Requirements:

• A minimum of 5 years of hands-on experience in PL/SQL development.
• Strong proficiency in writing efficient SQL queries and PL/SQL procedures/functions.
• Experience with Oracle Data Integrator (ODI) for ETL development.
• Solid understanding of data modeling concepts, including both logical and physical aspects.
• Expertise in OBIEE development and administration.
• Skilled in ETL and BI tools installation, configuration, and tuning.
• Excellent debugging and problem-solving skills, with the ability to work effectively in production environments.
• Strong communication and collaboration abilities, with a focus on delivering results in a team setting.
• Able to work a standard Monday-to-Friday schedule, with some flexibility as needed.