114 Cloud Data jobs in the United Arab Emirates

We are seeking a highly skilled Cloud and Data Administrator to manage and maintain our organization's data infrastructure across cloud and on-premises environments.

The ideal candidate will have extensive experience and certifications in cloud computing, network administration, and data management technologies. This role involves overseeing data storage, security, backup, and accessibility to ensure optimal performance, reliability, and security of our data systems.

• Manage and administer cloud-based data storage solutions with expertise in Azure Blob Storage & Containers.
• Configure and manage Azure L3-L7 Firewall, NSG, SSL, and Key Vault for secure data transmission and storage.
• Utilize Azure services such as IoT Hub, Cognitive Services, Private Endpoints, and Bastion for enhanced functionality and security.
• Implement Azure Traffic Manager, Load Balancer, and Application Gateway for efficient data routing and load distribution.
• Monitor and optimize cloud infrastructure using Azure Application Insights, Container Insights, VM Insights, and Network Insights.
• Manage Azure Kubernetes Service (AKS) for container orchestration and deployment of microservices-based applications.
• Maintain Windows Server environments, including Active Directory, DNS, DHCP, Hyper-V, and backup solutions such as Symantec Backup EXEC and Veritas EXEC.
• Configure and manage storage servers, including SAN and NAS storage solutions, for efficient data storage and retrieval.
• Ensure network security with Fortigate 60D & Fortigate 200F firewalls, site-to-site VPN configurations, and security policies.

The successful candidate will possess:

• Bachelor's degree in computer science, information technology, or a related field.
• Certifications: Azure, CCNA, MCSE, MCSA, Fortinet, or equivalent.
• Extensive experience in cloud computing, including IaaS, PaaS, virtualization, and cloud infrastructure redundancy.
• Proficiency in network administration, including configuration of routers, switches, firewalls, and VPNs.
• Familiarity with backup and disaster recovery solutions, such as Symantec Backup EXEC, Veritas EXEC, and Azure Site Recovery.

Our company is building an automated solution to deliver cloud and on-premise data services for enterprises.

The OpenSearch team focuses on creating a comprehensive automation platform for search and analytics solutions like OpenSearch and Elasticsearch.

We have multiple positions across different levels, including roles in data infrastructure and software development.

• Key Responsibilities:
• Collaborate with a distributed team of professionals
• Develop high-quality code in Python to create new features
• Debug issues and interact with open-source communities publicly
• Work with talented engineers in various fields

About Our Company:

Our company is a pioneering technology firm that publishes Ubuntu. We recruit globally and expect excellence from our team members.

We are seeking a highly skilled Cloud Data Engineer to join our team.

As a Cloud Data Engineer, you will be responsible for designing and implementing scalable cloud-based data solutions that meet the needs of our customers.

The ideal candidate will have experience with cloud-based infrastructure deployment automations, modern database management systems, and software development in Python. They will also possess strong problem-solving skills and be able to work effectively in a collaborative environment.

Our company is committed to fostering a diverse and inclusive workplace where everyone feels valued and empowered to contribute their best work. We offer a competitive salary, flexible working hours, and opportunities for professional growth and development.

• Job Requirements:
• Experience with cloud-based infrastructure deployment automations (e.g., Terraform, AWS CloudFormation)
• Strong understanding of modern database management systems (e.g., MongoDB, Cassandra)
• Proficiency in Python programming language
• Excellent problem-solving skills and ability to work collaboratively
• Strong communication and teamwork skills

If you are passionate about technology and enjoy working on challenging projects, we encourage you to apply for this exciting opportunity.

At our company, we believe in the power of open source and strive to create a platform that empowers users to take control of their data. Our goal is to build a reliable and secure way to deploy and operate databases on machines, VMs, public cloud, and Kubernetes.

Join us in creating innovative solutions that make a real difference in people's lives.

Cloud Data Integration Specialist

The successful candidate will manage end-to-end cloud data integration projects for a leading financial institution. This role involves overseeing the entire project lifecycle, from initiation to delivery.

• Project planning and resource allocation
• Collaboration with stakeholders to define project scope and objectives
• Ensuring timely delivery within budget constraints

1. Manage Cloud Data Integration Projects: Oversee full project lifecycle of data and system integration projects involving Azure cloud platform and core banking systems.
2. Collaborate with Stakeholders: Work with business stakeholders, technical teams, and vendors to define project scope, objectives, and deliverables.
3. Coordinate Resources: Allocate necessary resources, create project plans, track progress, and ensure timely delivery.
4. Data Migration and Governance: Oversee data migration, data governance, ETL, and reporting components in Azure-based environments.
5. Azure Services: Facilitate Azure Data Factory, Azure Synapse, and data lake-related activities as part of cloud transformation.
6. T24 Data Processes: Ensure alignment of T24 data processes with business rules, regulatory compliance, and reporting standards.
7. Risk Management: Monitor risks, issues, and changes; apply mitigation strategies and maintain documentation.
8. Communication: Communicate project status, updates, and escalations to leadership and stakeholders.

• Proven Experience: Proven experience as an IT Project Manager managing data-related projects.
• Azure Services: Strong experience with Microsoft Azure services, especially Data Factory, Data Lake, Synapse, and related services.
• Temenos T24: Hands-on experience or strong functional understanding of Temenos T24 (core banking system).
• Data Governance: Solid understanding of data migration, ETL pipelines, data governance, and reporting systems.
• Project Management Methodologies: Familiarity with project management methodologies (Agile, Scrum, or Waterfall).

• Banking/Financial Domain: Experience working in banking/financial domain.

As a technical leader, you will play a pivotal role in designing and building data infrastructure to support business reporting, analytics, and data products. This includes leading the execution of scalable and high-quality data solutions across multiple systems.

You will be responsible for driving excellence in data engineering practices, contributing to strategic initiatives, and mentoring junior engineers. Your expertise in cloud-native platforms, ETL/ELT pipelines, orchestration tools, and CI/CD will be invaluable in this role.

The ideal candidate will have 7-10 years of experience in data engineering, with some experience in technical leadership. A proven track record in data platform operations and governance is also required. Background in consumer goods, retail, or similar data-rich industries is preferred.

This role offers opportunities for professional growth and development, including training and coaching. You will work collaboratively with cross-functional teams to drive business outcomes and improve data infrastructure.

Data Engineering & Platform Ownership

Lead the development and optimization of data platforms to ensure reliability and scalability.

Design and implement robust data pipelines for ingestion, transformation, and delivery across multiple systems.

Ensure data compliance and access control policies are enforced.

Data Governance & Quality

Develop and maintain data quality frameworks to ensure proper metadata management and lineage tracking.

Contribute to sprint planning and oversee execution of engineering tasks.

Innovation & Optimization

Drive continuous improvement in engineering processes and delivery cycles.

Evaluate and implement scalable solutions to enhance performance and reduce costs.

Prototype and integrate emerging technologies to improve data infrastructure.

Stakeholder Collaboration

Act as a technical liaison between engineering, BI Analytics, Global Platform teams, and Data Domain owners.

Facilitate alignment on architecture, priorities, and delivery timelines.

Represent the engineering team in cross-functional discussions.

Leadership & Team Management

Mentor junior engineers and contribute to their technical development.

Support resource planning and task allocation within the engineering team.

Promote a culture of agile delivery, collaboration, and continuous learning.

Others

Participate in strategic cross-functional initiatives and innovation programs.

Technical Expertise

Advanced proficiency in Databricks, Spark, Python, SQL.

Strong understanding of cloud-native platforms (Azure, AWS).

Experience with ETL/ELT pipelines, orchestration tools (Airflow, Azure Data Factory), and CI/CD.

Familiarity with data governance tools (Unity Catalog), observability frameworks (Great Expectations, Monte Carlo).

Exposure to infrastructure-as-code (Terraform) and DevOps practices.

Awareness of cloud cost optimization strategies.

About the Role

We are seeking a skilled Data Architect with expertise in big data ecosystems to lead our data engineering team. As a senior Data Engineer, you will be responsible for designing, developing, and maintaining scalable data pipelines that ensure high data quality and availability across the organization.

This role requires a strong background in cloud-native tools, advanced data processing, and software design patterns. The ideal candidate has hands-on experience with data ingestion, transformation, and optimization on cloud-based platforms, along with a proven track record of implementing data engineering best practices. You will work closely with other data engineers to build solutions that drive impactful business outcomes.

• Design, develop, and maintain highly scalable and optimized ETL pipelines using Python on cloud-based platforms, ensuring data integrity.

• Implement and manage data ingestion processes from various sources (e.g., relational databases, APIs, file systems) to the data lake or data warehouse.

• Use Python to process, cleanse, and transform large datasets into formats that support analytical needs and business insights.

• Conduct performance tuning of Python code and cloud components to optimize resource utilization and reduce ETL runtime.

• Implement data quality checks, monitoring, and validation routines to ensure data accuracy and reliability.

• Automate data workflows using tools like Apache Airflow or similar orchestration tools within the cloud environment.

• Bachelor's or Master's degree in Computer Science, Data Engineering, Information Systems, or a related field.
• At least 3 years of experience as a senior Data Engineer with a focus on Python and cloud-based platforms.

Skills:

• Python: Advanced proficiency, including working with libraries and frameworks.
• Cloud Platforms: Strong experience with cloud-native tools and services.
• Big Data Technologies: Familiarity with Hadoop, Kafka, and distributed computing.
• Scheduling & Automation: Experience with Apache Airflow or similar tools.
• Scripting: Strong scripting skills.

Employment Type: Full-Time

Experience: 3+ years

Vacancy: 1

Benefits include competitive salary, opportunities for professional growth, and a dynamic work environment.

The ideal candidate will have excellent communication and collaboration skills, with the ability to work effectively in a team environment.

We are looking for an innovative and proactive Data Engineer to join our team. Our vision is to provide a real-time data infrastructure, allowing our teams to gain unprecedented insight into our application data.

You will be working in our Data Platform team, providing data capability for internal and product requirements. You will be designing high-performance data pipelines leveraging AWS native tools, architecting modular, AI-ready data lake with a roadmap to ensure secure ingestion, transformation, and consumption workflows, and implementing scalable streaming solutions that factor in performance, scalability and cost.

• Design and optimize high-performance data pipelines leveraging AWS native tools.
• Architect modular, AI-ready data lake with a roadmap to ensure secure ingestion, transformation, and consumption workflows.
• Implement scalable streaming solutions that factor in performance, scalability and cost.

• Build and enforce data governance protocols aligned with relevant regulatory and compliance requirements using AWS tools.
• Collaborate with cybersecurity teams to implement IAM best practices, encryption strategies, and secure networking.
• Maintain traceability and auditability for all data flows across the AWS stack.

• Work with our Cloud Architect and SRE to deploy and fine-tune monitoring dashboards using Datadog and AWS CloudWatch for performance, anomaly detection, and security event correlation.
• Continuously evaluate storage and compute cost optimization across S3, EC2, Redshift, and Glue workloads.

• Partner with Data Science, Cloud Architect, Security and Engineering leads to align cloud architecture with evolving business goals and priorities to ensure future-readiness.
• Mentor junior engineers in AWS best practices, scalable design, and secure coding standards.
• Lead innovation across key Product initiatives.

Key Qualifications:

• Bachelor's or Master's degree in Computer Science, Data Engineering, Software Engineering or a related field.
• 8–10 years of professional experience in data engineering, including 5+ years architecting on AWS underpinned by data governance. Mastery of AWS cloud services (S3, Lambda, Glue, Redshift, Kinesis, Lake Formation, Crawler etc.).
• Deep expertise in building scalable cloud-native solutions and managing secure data infrastructure ensuring data governance.
• Strong command of compliance-driven architecture design and real-time monitoring strategies.
• Good understanding of compliance frameworks related to data privacy and information security.
• Excellent communication skills and a proven leadership in mentoring and ability to lead cross-functional initiatives.

Technical Requirements:

• Proficiency with agile tools.
• Cloud Infrastructure & AWS Services: S3, Glue, Lambda, Redshift, Kinesis, IAM, CloudWatch, Lake Formation etc. Strong awareness of AWS security tools.
• Data Orchestration: Experience with Apache Airflow on ECS or AWS Managed Workflows. Familiarity with Step Functions and event-driven orchestration patterns.
• Streaming & ETL Pipelines: Expertise in Kinesis Data Streams and Kafka (AWS-hosted or compatible). Proficiency in designing and optimizing ETL workflows using AWS.
• Monitoring & Observability: Awareness of or exposure to logs, alerting, monitoring, detection and tuning.
• Security & Governance: Awareness of or exposure to AWS KMS. In addition, building governance workflows with AWS Config and Lake Formation.
• Data Modeling & Optimization: Extensive experience in design of AI-ready data lake with scalable ingestion and query performance.
• Programming Languages: Advanced coding in Python and SQL. Experience in Java and ETL processes is also preferred.

About You:

• Strong communication skills, curiosity, and a quick learner.
• Enjoy a creative fast-paced agile world.
• Enjoy mentoring and teaching other developers to create a world-class cohesive team.
• Enjoy making friends and having fun.

Design and Implement Data Infrastructure

• Develop high-performance data pipelines leveraging cloud-based tools.
• Architect modular, AI-ready data lakes with secure ingestion, transformation, and consumption workflows.
• Implement scalable streaming solutions that factor in performance, scalability, and cost.

Embed Security & Compliance Across Workloads

• Build and enforce data governance protocols aligned with regulatory requirements using cloud security tools.
• Collaborate with cybersecurity teams to implement IAM best practices, encryption strategies, and secure networking.
• Maintain traceability and auditability for all data flows across the cloud stack.

Optimize for Observability & Cost Efficiency

• Work with cloud architects and SREs to deploy and fine-tune monitoring dashboards using logging and alerting tools.
• Continuously evaluate storage and compute cost optimization across cloud workloads.

Lead Through Influence and Collaboration

• Partner with data science, cloud architecture, security, and engineering leads to align cloud architecture with evolving business goals and priorities.
• Mentor junior engineers in cloud best practices, scalable design, and secure coding standards.
• Lead innovation across key product initiatives.

Innovate with Purpose

• Evaluate and integrate cloud-compatible orchestration tools like workflow automation and event-driven patterns.
• Contribute to middleware and third-party orchestration strategies through secure APIs and event-driven patterns.
• Design data products based on requirements that focus on key use cases such as social impact.

• Bachelor's or Master's degree in Computer Science, Data Engineering, Software Engineering, or a related field.
• 8–10 years of professional experience in data engineering, including 5+ years architecting on cloud platforms underpinned by data governance.
• Deep expertise in building scalable cloud-native solutions and managing secure data infrastructure ensuring data governance.
• Strong command of compliance-driven architecture design and real-time monitoring strategies.
• Good understanding of compliance frameworks related to data privacy and information security.
• Excellent communication skills and a proven leadership in mentoring and ability to lead cross-functional initiatives.

• Proficiency with agile development methodologies.
• Cloud Infrastructure & AWS Services: Strong awareness of AWS security tools, experience with Apache Airflow on ECS or AWS Managed Workflows.
• Streaming & ETL Pipelines: Expertise in designing and optimizing ETL workflows using cloud services.
• Monitoring & Observability: Awareness of or exposure to logs, alerting, monitoring, detection, and tuning.
• Security & Governance: Awareness of or exposure to AWS KMS, building governance workflows with AWS Config and Lake Formation.
• Data Modeling & Optimization: Extensive experience in design of AI-ready data lake with scalable ingestion and query performance.
• Programming Languages: Advanced coding in Python and SQL, experience in Java and ETL processes is also preferred.

• Curiosity and ability to learn quickly.
• Enjoyment of creative, fast-paced environments.
• Ability to mentor and teach other developers to create a world-class cohesive team.
• Desire to make friends and have fun.

• Mid-Senior level

• Full-time

• Information Technology

Act as a consultant and advisor to our clients on various business cases and challenges related to cloud data engineering, with a focus on Azure services and PowerBI.

Design and implement data platforms following best practices and requirements of the company.

Present proof of concepts and demonstrate products when required.

Coordinate with different client teams on the architecture and configuration of data platforms.

• Ideally, a degree in Computer Science Engineering, Informatics, or related fields with an interest in cloud technologies.
• Fluent and articulate in English.
• Minimum of 3 years of relevant experience in design and delivery of cloud-based solutions, focusing on data engineering, data warehousing, and data visualization.
• Technical skills include:
• Azure Data Lake, Azure Data Factory, Databricks, Azure SQL DB & DWH (Synapse)
• Microsoft Fabric
• Azure EventHub, Azure Stream Analytics
• Azure DevOps (CI/CD)
• PowerBI
• Customer-oriented with excellent communication and presentation skills.
• Proactive, team player, committed, with a constant willingness to improve.
• Strong analytical and problem-solving skills.
• Excellent communication skills, work ethic, and the ability to lead multiple global virtual project teams.

• Work with cutting-edge technologies to accelerate your career development.
• Enjoy an excellent work environment where people love what they do.
• Be part of international, ambitious, and hardworking teams while having fun.
• Constant learning opportunities and training/certification in the latest technologies.
• Potential for growth within the team.

Join us in this exciting journey!

Cloud Data & AI Experts