30 Data Driven Products jobs in the United Arab Emirates

Overview

Job ID: | Amazon Development Centre Ireland Limited

If you are passionate about the Customer Experience, think and act with a global perspective and have the ability to contribute to sophisticated innovations in the area of building controls and automation initiatives, this is the challenge you are looking for!

AWS Infrastructure Services (AIS) – AIS owns the design, planning, delivery, and operation of all AWS global infrastructure. We’re the people who keep the cloud running, supporting all AWS data centers and the servers, storage, networking, power, and cooling equipment to ensure continual access to innovation. You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to deliver safety and security while providing capacity at the lowest possible cost. You’ll experience an inclusive culture that empowers you to own ideas to completion.

Worldwide Sustainability (WWS) capitalizes on Amazon’s scale, speed, and ability to build, invent, and simplify a resilient and sustainable company. We manage our social and environmental impacts and drive solutions that enable customers, businesses, and the world to become more sustainable.

• Are controls subject matter experts (SMEs) with knowledge of building operations, electrical generation and distribution equipment (generators, UPS, etc.), mechanical plant and strategies (AHUs, chillers, etc.), BMS/EPMS programming concepts, control diagrams, industrial HVAC, electrical line-ups, one-line diagrams, and complex environmental and electrical concepts
• Create, maintain, and disseminate project specific scope of work (SOW) documents, specifications and engineering drawings as well as global design standards
• Operate in high security critical environments while maximizing productivity
• Innovate to develop new solutions to support team and company goals and initiatives
• Interpret and develop a combination of mechanical, electrical and plumbing drawings
• Serve as a central point of contact as technical SMEs for multiple internal and external groups regarding mechanical and electrical controls standards
• Manage and prioritize requests for information on new construction builds, existing site facilities support and legacy site enhancement projects
• Ensure systems are deployed and commissioned to documented standards
• Strive for frugality through budgetary review and customer-focused interpretation of needs
• Be technical subject matter experts in mechanical and/or electrical controls
• Anticipate roadblocks and risks with escalation management
• Work quickly and autonomously to deep dive and resolve unexpected challenges
• Effectively manage external consultants’ performance to ensure high-quality delivery
• Review vendor bid packages and make selection recommendations
• Work across multiple projects simultaneously
• Interact with AWS cloud services and other applications to present, archive and analyse data
• Solve problems to drive results while handling multiple tasks
• Travel domestically and internationally as needed to manage projects (circa 25% of the time)

As part of the EMEA controls design team, you will work with highly motivated experts and innovators in the data center industry. You will lead the electrical and mechanical controls design of critical infrastructure projects including HV Substations, Leased and Colocation Data Centres. You will develop new processes and standards and test innovations in the controls space using Amazon leadership principles.

ABOUT AWS:

Diverse Experiences: Amazon values diverse experiences. If you do not meet all preferred qualifications, we encourage you to apply. If your career is just starting or has followed a non-traditional path, don’t let it stop you from applying.

Why AWS: Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and continue to innovate, trusted by startups to Global 500 companies.

Work/Life Balance: We value work-life harmony and strive for flexibility in our working culture. Support at work and home enables us to achieve more.

Inclusive Team Culture: We promote inclusion and empower our people with affinity groups and inclusive events to foster strong, collaborative teams and bold ideas.

Mentorship and Career Growth: We offer knowledge-sharing, mentorship, and career-advancing resources to help you grow.

• Good understanding of electrical diagrams, control diagrams, building operations, control circuits, industrial HVAC.
• Demonstrated leadership in IT technology and MEP/ACS design engineering environments to deliver results.
• Experience driving large-scale enterprise data center projects.
• Fundamental understanding of Data Center IT Infrastructure
• BA/BS degree or equivalent professional experience.

• B.S. in Electrical Engineering, Mechanical Engineering, Engineering Technology, or related engineering degree
• Experience with the use and programming of building management systems (Schneider, Siemens, Tridium, Trend preferred).
• Experience with the use and programming of electrical power monitoring systems (Schneider, Eaton preferred).
• Knowledge of Data Center Facilities Infrastructure and operation (PDU, UPS, Generators, etc.)
• Proficiency in computer applications such as SQL, Microsoft Word, Excel, and Project.

Amazon is an equal opportunities employer. We believe that employing a diverse workforce is central to our success. We make recruiting decisions based on experience and skills. We value your passion to discover, invent, simplify and build. Protecting privacy and data security is a priority. Please consult our Privacy Notice to know how we collect, use and transfer personal data of candidates.

Amazon is an equal opportunity employer and does not discriminate on protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver best results. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, please visit the company accommodations page for more information. If your country/region isn’t listed, contact your Recruiting Partner.

Posted: October 1, 2025 (Updated 4 days ago)

Posted: June 23, 2025 (Updated 21 days ago)

Amazon is an equal opportunity employer and does not discriminate on protected veteran status, disability, or other legally protected status.

Data Engineering – Subject Matter Expert (Dubai Hybrid)

About the role We are seeking a seasoned Data Engineering SME with strong experience in data platforms, ETL tools, and cloud technologies. The ideal candidate will lead the design and implementation of enterprise-scale data solutions, provide strategic guidance on data architecture, and play a key role in data migration, data quality, and performance tuning initiatives. This role demands a mix of deep technical expertise, project management, and stakeholder communication.

Key Responsibilities

• Lead the design, development, and deployment of robust, scalable ETL pipelines and data solutions.
• Provide technical leadership and SME support for data engineering teams across multiple projects.
• Collaborate with cross-functional teams including Data Analysts, BI Developers, Product Owners, and IT to gather requirements and deliver data products.
• Design and optimize data workflows using tools such as IBM DataStage, Talend, Informatica, and Databricks.
• Implement data integration solutions for structured and unstructured data across on-premise and cloud platforms.
• Conduct performance tuning and optimization of ETL jobs and SQL queries.
• Oversee data quality checks, data governance compliance, and PII data protection strategies.
• Support and mentor team members on data engineering best practices and agile methodologies.
• Analyze and resolve production issues in a timely manner.
• Contribute to enterprise-wide data transformation strategies including legacy-to-digital migration using Spark, Hadoop, and cloud platforms.
• Manage stakeholder communications and provide regular status reports.
  

Required Skills and Qualifications

• Bachelor's degree in Engineering, Computer Science, or a related field (MTech in Data Science is a plus).
• 8+ years of hands-on experience in ETL development and data engineering.
• Strong proficiency with tools: IBM DataStage, Talend, Informatica, Databricks, Power BI, Tableau.
• Strong SQL, PL/I, Python, and Unix Shell scripting skills.
• Experience with cloud platforms like AWS and modern big data tools like Hadoop, Spark.
• Solid understanding of data warehousing, data modeling, and data migration practices.
• Experience working in Agile/Scrum environments.
• Excellent problem-solving, communication, and team collaboration skills.
• Scrum Master or Product Owner certifications (CSM, CSPO) are a plus.

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A software development company is looking for a talented, long-term Lead DS Researcher.

We’re looking for a Lead Data Science Researcher who thrives in research-heavy environments and enjoys exploring uncharted territory with the support of a strong technical team.

This is a unique opportunity to drive forward new ideas and applications, not just optimize existing ones.

About the company

Company Top Remote Talent

The company is a team of experts providing analytical services to healthcare clients. You will join an international team of first class professionals who are passionate to create products that improve quality of medical services.

Responsibilities

You will lead a compact team of two data scientists, guiding them on high-impact research initiatives and experimental projects. Your role will involve pushing the boundaries of applied machine learning — especially in the context of medical and clinical data — and turning complex problems into innovative solutions.

Requirements

**What we’re looking for:**Exceptional analytical and statistical skills-comfortable with uncertainty, inference, and experimentation;

Strong background in different areas of ML (traditional classification and regression techniques, recommender systems, text data, clustering, etc.);

Solid experience with deep learning frameworks like PyTorch or TensorFlow;

Excellent Python skills (beyond Jupyter Notebooks) - ability to build clean, testable, production-ready code;

Familiarity with medical or life science data is a strong plus;

Expertise in SQL, Pandas, Scikit-learn, and modern data workflows;

Comfortable working in Google Cloud Platform (GCP) environments.

**Bonus points for experience with:**State-of-the-art NLP models, Transformers, Agentic Approaches for mixed (temporal and text) data analysis and summarization;

Experience with pipeline orchestration tools like Airflow, Argo, etc.;

Proven Experience with Anomaly Detection and Forecasting with explainability for temporal and mixed data;

Intermediate+ English — ability to participate in written discussions with international teams and clients.

Working conditions

**Benefits:**Join a mission-driven team working at the intersection of data, medicine, and impact;

Work on meaningful challenges with long-term value for public health and healthcare quality;

Collaborate with top-tier experts in a culture that values curiosity, autonomy, and innovation;

Fully remote-friendly setup with flexibility and trust at the core.

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Embark on a journey where your unique contributions are celebrated, and your professional growth is embraced. At ADCB, we nurture a diverse, inclusive community where every voice is valued.

About the business area

GBS is a group of highly skilled and talented professionals who form an essential part of ADCB's continued journey of success. With a proud history of commitment, innovation and delivery, GBS constantly strives for excellence whilst ensuring the highest standards of quality and risk awareness. Each and every member of the GBS family plays an integral role in driving ADCB's strategy, growth and digital evolution by working closely with our valued business partners to achieve exceptional customer experience through our outstanding service and support.

We are actively seeking an ambitious professional to join our team at ADCB to work alongside passionate colleagues who share your ambition to redefine excellence in UAE banking.

• Develop and Implement advanced data science solutions to support the organization’s AI strategy
• Lead the design and execution of analytical models, ensuring data integrity, scalability, and relevance to business objectives
• Collaborate with cross-functional teams to translate complex data into actionable insights, and contribute to the structuring of AI-related roles and capabilities through evidence-based workforce planning and job design
• Drive the design and deployment of advanced Artificial Intelligence (AI)/Machine Learning (ML) models to optimize core banking operations, enhance digital customer journeys, and support strategic decision-making
• Build and maintain robust machine learning pipelines using Azure AI Foundry or AWS SageMaker, ensuring scalability, automation, and seamless integration with cloud-native services
• Develop and fine-tune generative AI models, including RAG and agentic workflows, leveraging cutting-edge techniques like Low-Rank Adaptation (LoRA), Parameter-efficient fine-tuning (PEFT), and multimodal architectures
• Design and execute complex experimental frameworks, including A/B testing, to derive actionable insights and validate model performance with statistical inference
• Work closely with software and data engineers to implement version-controlled, containerized (Docker) solutions, and Continuous Integration (CI)/Continuous Deployment (CD) pipelines for efficient model deployment
• Define and enforce documentation standards, coding practices, and reproducibility protocols to ensure consistency and quality across all data science projects
• Monitor and evaluate model performance using Machine Learning Operations (MLOps) and Large Language Models (LLMs) specific metrics (e.g., Bilingual Evaluation Understudy (BLEU), ROUGE), ensuring transparency, fairness, and continuous improvement of Artificial Intelligence (AI) systems
• Strong knowledge of banking operations and terminologies
• Analyses complex banking products and services for facilitating decision-making
• Adhere to all relevant organisational and departmental policies, processes, standard operating procedures and instructions so that work is carried out to the required standard and in a consistent manner while delivering the required standard of service to customers and stakeholders
• Manage self in line with the Bank’s people management policies, procedures, processes and practices to ensure adherence and to maximise own contribution to business performance
• Demonstrate Our Promise and apply the ADCB Service Standards to deliver the Bank’s required levels of service in all internal and external customer interactions

• Minimum 5 years of experience in data science, with proven expertise in AI/ML, statistical modelling, and cloud-based deployments
• Strong background in banking processes, generative AI, and Machine Learning Operations (MLOps)
• Experience leading cross-functional teams and delivering scalable, production-grade solutions in a regulated, data-driven environment
• Bachelor’s degree in quantitative field such as Computer Science, Artificial Intelligence, Software Engineering, Statistics, Mathematics or related field required
• Master’s degree or equivalent in AI/ML is preferred
• N/A
• Advanced Python for AI/ML development and data manipulation
• Strong statistical expertise and experimental design (A/B testing, inference)
• Experience with ML models (transformers, RNNs), GenAI, and agentic workflows
• Skilled in fine-tuning LLMs using LoRA, PEFT, and evaluating with BLEU/ROUGE
• Proficient in building ML pipelines on Azure AI Foundry or AWS SageMaker
• Familiar with cloud services (Azure/AWS), serverless deployments, and MLOps tools
• Strong data visualization skills (Tableau, Power BI) with UX-focused design
• Effective collaboration with engineering teams and cross-functional stakeholders
• Knowledge of CI/CD, containerization, and documentation standards
• Active learner with awareness of emerging AI trends and technologies

Comprehensive Benefits Package: This includes market-leading medical insurance, group life and personal accident insurance, paid leave and leave airfare, employee preferential rates on loans and finance facilities, staff discounts and offers, and children education assistance (for certain job levels).

Flexible and Remote Working Options: We understand the importance of work-life balance and offer flexible working arrangements, subject to eligibility and job requirements.

Learning and Development Opportunities: We value and facilitate continuous learning and personal development, through a variety of exciting learning opportunities, such as structured instructor-led courses, a comprehensive e-Learning catalog, on-the-job training and professional development programs.

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Embark on a journey where your unique contributions are celebrated, and your professional growth is embraced. At ADCB, we nurture a diverse, inclusive community where every voice is valued.

About the business area

GBS is a group of highly skilled and talented professionals who form an essential part of ADCB's continued journey of success. With a proud history of commitment, innovation and delivery, GBS constantly strives for excellence whilst ensuring the highest standards of quality and risk awareness. Each and every member of the GBS family plays an integral role in driving ADCB's strategy, growth and digital evolution by working closely with our valued business partners to achieve exceptional customer experience through our outstanding service and support.

We are actively seeking an ambitious professional to join our team at ADCB to work alongside passionate colleagues who share your ambition to redefine excellence in UAE banking.

In this role, your key responsibilities include:

• Develop and Implement advanced data science solutions to support the organization’s AI strategy
• Lead the design and execution of analytical models, ensuring data integrity, scalability, and relevance to business objectives
• Collaborate with cross-functional teams to translate complex data into actionable insights, and contribute to the structuring of AI-related roles and capabilities through evidence-based workforce planning and job design
• Drive the design and deployment of advanced Artificial Intelligence (AI)/Machine Learning (ML) models to optimize core banking operations, enhance digital customer journeys, and support strategic decision-making
• Build and maintain robust machine learning pipelines using Azure AI Foundry or AWS SageMaker, ensuring scalability, automation, and seamless integration with cloud-native services
• Develop and fine-tune generative AI models, including RAG and agentic workflows, leveraging cutting-edge techniques like Low-Rank Adaptation (LoRA), Parameter-efficient fine-tuning (PEFT), and multimodal architectures
• Design and execute complex experimental frameworks, including A/B testing, to derive actionable insights and validate model performance with statistical inference
• Work closely with software and data engineers to implement version-controlled, containerized (Docker) solutions, and Continuous Integration (CI)/Continuous Deployment (CD) pipelines for efficient model deployment
• Define and enforce documentation standards, coding practices, and reproducibility protocols to ensure consistency and quality across all data science projects
• Monitor and evaluate model performance using Machine Learning Operations (MLOps) and Large Language Models (LLMs) specific metrics (e.g., Bilingual Evaluation Understudy (BLEU), ROUGE), ensuring transparency, fairness, and continuous improvement of Artificial Intelligence (AI) systems
• Strong knowledge of banking operations and terminologies
• Analyses complex banking products and services for facilitating decision-making
• Adhere to all relevant organisational and departmental policies, processes, standard operating procedures and instructions so that work is carried out to the required standard and in a consistent manner while delivering the required standard of service to customers and stakeholders
• Manage self in line with the Bank’s people management policies, procedures, processes and practices to ensure adherence and to maximise own contribution to business performance
• Demonstrate Our Promise and apply the ADCB Service Standards to deliver the Bank’s required levels of service in all internal and external customer interactions

The ideal candidate should have the following experience:

• Minimum 5 years of experience in data science, with proven expertise in AI/ML, statistical modelling, and cloud-based deployments
• Strong background in banking processes, generative AI, and Machine Learning Operations (MLOps)
• Experience leading cross-functional teams and delivering scalable, production-grade solutions in a regulated, data-driven environment
• Bachelor’s degree in quantitative field such as Computer Science, Artificial Intelligence, Software Engineering, Statistics, Mathematics or related field required
• Master’s degree or equivalent in AI/ML is preferred
• N/A
• Advanced Python for AI/ML development and data manipulation
• Strong statistical expertise and experimental design (A/B testing, inference)
• Experience with ML models (transformers, RNNs), GenAI, and agentic workflows
• Skilled in fine-tuning LLMs using LoRA, PEFT, and evaluating with BLEU/ROUGE
• Proficient in building ML pipelines on Azure AI Foundry or AWS SageMaker
• Familiar with cloud services (Azure/AWS), serverless deployments, and MLOps tools
• Strong data visualization skills (Tableau, Power BI) with UX-focused design
• Effective collaboration with engineering teams and cross-functional stakeholders
• Knowledge of CI/CD, containerization, and documentation standards
• Active learner with awareness of emerging AI trends and technologies

What we offer:

Comprehensive Benefits Package: This includes market-leading medical insurance, group life and personal accident insurance, paid leave and leave airfare, employee preferential rates on loans and finance facilities, staff discounts and offers, and children education assistance (for certain job levels).

Flexible and Remote Working Options : We understand the importance of work-life balance and offer flexible working arrangements, subject to eligibility and job requirements.

Learning and Development Opportunities: We value and facilitate continuous learning and personal development, through a variety of exciting learning opportunities, such as structured instructor-led courses, a comprehensive e-Learning catalog, on-the-job training and professional development programs.

We are seeking a Senior Data Science Engineer with expertise in building and operationalizing production-grade machine learning pipelines . The ideal candidate will have hands-on experience with MLFlow, Databricks, and Azure ML , and a strong background in developing ML solutions for healthcare predictive use cases . This role will be central to embedding ML models into enterprise data workflows and ensuring their ongoing performance.

• ML Pipeline Engineering : Design, build, and maintain scalable ML pipelines leveraging MLFlow, Databricks, and Azure ML.

• Model Development : Develop and optimize ML models, particularly for healthcare predictive analytics .

• Integration : Embed ML models into KPI-driven data processing and analytics workflows .

• Model Lifecycle Management : Implement model monitoring, drift detection, retraining, and continuous improvement strategies.

• Collaboration : Work closely with data engineers, data scientists, and business stakeholders to deploy solutions that deliver measurable impact.

• 6+ years of experience in machine learning engineering or applied data science .

• Hands-on expertise with MLFlow, Databricks, and Azure ML .

• Strong experience in developing and deploying predictive ML models , ideally within healthcare.

• Proficiency in Python, SQL, PySpark , and modern ML frameworks (TensorFlow, PyTorch, or Scikit-learn).

• Knowledge of model monitoring, drift detection, and automated retraining strategies .

• Familiarity with cloud-native ML architectures and CI/CD for ML (MLOps).

• Strong problem-solving and collaboration skills with a focus on production-grade delivery.

• Work on cutting-edge healthcare predictive analytics solutions .

• Gain exposure to enterprise-scale ML pipelines on modern platforms.

• Opportunity to drive end-to-end ML lifecycle ownership .

• Competitive compensation and career growth in a fast-growing data-driven organization.

We are looking for an experienced freelance trainer to conduct a 3-day workshop on Big Data Fundamentals for a professional audience in Abu Dhabi. The trainer should be able to deliver engaging, practical, and interactive sessions that combine theory with real-world applications.

This workshop aims to introduce participants to the core principles of big data, its tools, technologies, and how data-driven insights can enhance decision-making and business strategy.

Indicative Learning Areas:

• Understanding big data concepts and architecture
• Overview of data processing frameworks (e.g., Hadoop, Spark)
• Data storage, management, and analytics fundamentals
• Practical applications and case studies in business and technology

The final course content and detailed outline are expected to be provided by the trainer.

• Qualification in Data Science, Computer Science, IT, or related field
• Minimum 5 years of professional or training experience in data analytics or big data technologies
• Strong communication and facilitation skills
• Must be available to deliver the training in person at Yas Island, Abu Dhabi

Interested trainers are invited to apply with the following:

• Updated CV or professional profile
• Relevant training experience
• Proposed hourly rate (inclusive of course content preparation, outline development, and transport costs)

Course Title: Big Data FundamentalsLocation: Eton Abu Dhabi, Yas IslandDates: 3 days workshop

We are looking for an experienced Freelance Trainer to conduct a 3-day workshop on Big Data Fundamentals  for a professional audience in Abu Dhabi. The trainer should be able to deliver engaging, practical, and interactive sessions that combine theory with real-world applications.

This workshop aims to introduce participants to the core principles of big data, its tools, technologies, and how data-driven insights can enhance decision-making and business strategy.

Indicative Learning Areas:

Understanding big data concepts and architecture

Overview of data processing frameworks (e.g., Hadoop, Spark)

Data storage, management, and analytics fundamentals

Practical applications and case studies in business and technology

The final course content and detailed outline are expected to be provided by the trainer.

Qualification in Data Science, Computer Science, IT, or related field

Minimum 5 years of professional or training experience in data analytics or big data technologies

Strong communication and facilitation skills

Must be available to deliver the training in person at Yas Island, Abu Dhabi

Interested trainers are invited to apply with the following:

Updated CV or professional profile

Relevant training experience

Proposed hourly rate (inclusive of course content preparation, outline development, and transport costs)