146 Data Storage jobs in the United Arab Emirates

Our organization seeks a skilled software developer to collaborate with an international team on developing and automating data platforms.

• Collaborate proactively with a globally distributed team to develop and automate features of data platforms.
• Write high-quality, idiomatic Python code to create new features and resolve technical issues.
• Engage with upstream communities publicly and work with experts in various fields.

• Hands-on experience in software development using Python.
• Hands-on experience in distributed systems development.
• Bachelor's degree or equivalent in Computer Science, STEM, or a related field.

• Experience operating and managing search and analytics engines like Elasticsearch, Kibana, and OpenSearch.
• Experience with Linux systems administration, package management, and operations.
• Experience with the public cloud or a private cloud solution like OpenStack.

Are you ready to elevate your career in data engineering? We're seeking a highly skilled professional to join our team and help us create a seamless data infrastructure that powers our business forward.

We're looking for an exceptional Data Engineer to design, build, and optimize scalable data pipelines that process and manage both structured and unstructured data. Your expertise will be crucial in implementing robust ETL/ELT processes, managing complex datasets, and collaborating with cross-functional teams to ensure seamless data accessibility.

• 5+ years of experience in data engineering, ETL development, or data warehousing
• Demonstrated ability to design and manage ETL/ELT processes using tools like Airflow, Luigi, or dbt to automate data workflows and transformations
• Experience with big data architectures and optimizing data pipelines
• Deep familiarity with SQL for data manipulation and querying
• Strong coding skills in Python, and at least one other language (Scala/Java)
• Hands-on experience with cloud-based data platforms (Azure/AWS/GCP)
• Strong analytical skills for working with large-scale unstructured datasets
• Ability to diagnose data issues, optimize performance, and communicate technical solutions effectively to both technical and non-technical stakeholders
• Educational qualifications: Bachelor's degree in Computer Science, Engineering, or related field required

At our organization, we offer a dynamic work environment, opportunities for growth and development, and a competitive compensation package.

We're a forward-thinking organization dedicated to delivering innovative solutions that drive business results. Our team is passionate about creating value for our customers, employees, and shareholders.

As a key player in our organization, you will be responsible for helping customers unlock the full potential of their data infrastructure. Your expertise in streaming architectures and applications will enable them to make informed decisions and drive business results.

Throughout your interactions with customers, you will build strong relationships by delivering exceptional service and support. This involves developing and advocating best practices, gathering and validating product feedback, and assisting customers in overcoming operational challenges.

Furthermore, you will play a crucial role in providing valuable insights to our Product and Engineering teams, enabling them to refine their offerings and improve customer satisfaction.

By joining our team, you will have the opportunity to work on innovative projects that push the boundaries of what is possible with data streaming. You will be part of a dynamic and collaborative environment where everyone contributes to the success of our customers and the company as a whole.

• Strong understanding of streaming architectures and applications
• Excellent communication and relationship-building skills
• Able to develop and advocate best practices
• Capacity to gather and validate product feedback
• Ability to help customers overcome operational challenges

As a member of our team, you can expect a range of benefits, including:

• Opportunities for professional growth and development
• Collaborative and dynamic work environment
• Flexible working arrangements to suit your needs
• Competitive compensation package

Our organization is focused on building an advanced automation suite to provide multi-cloud and on-premise data solutions for the enterprise.

This project aims to create a comprehensive enterprise automation solution for search and analytics suites like OpenSearch and Elasticsearch.

We are looking to hire experienced software developers across various levels.

• Collaborate with a globally distributed team
• Write high-quality, idiomatic Python code to create new features
• Debug issues and interact with upstream communities publicly
• Work with skilled engineers including experts in a diverse set of fields

We require candidates with hands-on experience in software development using Python and distributed systems development.

Bachelor's degree in Computer Science, STEM, or similar field is required.

Our team of experienced professionals is seeking a skilled Data Infrastructure Specialist to design, build, and maintain our data lake infrastructure for reliable scalable access to market data.

Careem is building the Everything App for the greater Middle East, making it easier than ever to move around, order food and groceries, manage payments, and more. Our mission is to simplify and improve the lives of people and build an awesome organisation that inspires.

About the Role

We're seeking a Cloud Data Infrastructure Specialist to join our Storage & Infrastructure team. As a key member of our team, you'll focus on building, scaling, and automating our core data services. You'll work with a range of distributed systems including MySQL, Postgres, Kafka, Cassandra, Redis, and OpenSearch, while also supporting emerging workloads like vector databases, embedding stores, and LLM query caches.

• Deploy, scale, and maintain cloud-native data systems on AWS.
• Automate storage operations using IaC (Terraform, Pulumi, etc.).
• Support AI-related infrastructure (e.g. Milvus, Weaviate, or Pinecone).
• Collaborate with ML engineers and platform teams to support LLM-powered services.
• Optimize and monitor performance across services using Prometheus, Grafana, OpenTelemetry, etc.
• Participate in on-call rotations and contribute to post-incident reviews.
• Help design secure, scalable environments that are AI-ready and cost-efficient.

Requirements

• 5–8 years of experience operating distributed systems at scale.
• Proficiency with one or more languages (e.g. Go, Python, Bash).
• Strong understanding of cloud infrastructure (preferably AWS).
• Experience with IaC and CI/CD pipelines.
• Familiarity with Kafka, Redis, Cassandra, or similar systems.
• Exposure to AI infrastructure (bonus): vector stores, model serving platforms (e.g. Ray, LangChain, LlamaIndex).
• Curiosity to learn about integrating infrastructure with AI agents and LLM-based applications.

We offer colleagues the opportunity to drive impact in the region while they learn and grow. As a full time colleague, you will be able to:

• Work and learn from great minds by joining a community of inspiring colleagues.
• A chance to help shape the future of AI-read infrastructure.
• Put your passion to work in a purposeful organisation dedicated to creating impact in a region with a lot of untapped potential.
• Explore new opportunities to learn and grow every day.
• Enjoy a flexible working arrangement with 4 days a week in office & 1 day from home, and remotely from any country in the world for 30 days a year with unlimited vacation days per year.
• Access to healthcare benefits and fitness reimbursements for health activities including gym, health club, and training classes.

This is a senior-level position that involves designing and implementing large-scale data infrastructure solutions. The ideal candidate will have experience in architecting and leading teams to develop cloud-based data lakes and analytics pipelines.

• Develop and implement an enterprise-wide data architecture strategy that supports interoperability, AI / ML readiness, and regulatory compliance
• Lead the evolution of our AWS-based data lake architecture, supporting structured, semi-structured, and unstructured data types—especially FHIR-formatted JSON healthcare data
• Cloud Data Lake & Storage Optimization: Design and maintain scalable, secure, and cost-effective data lakes using Amazon S3, AWS Glue, Athena, Redshift, and Lake Formation
• Leverage Mountpoint for S3 to enable high-performance, POSIX-compliant access to S3 objects, including vectorized data files
• Optimize data storage and retrieval strategies for performance and cost-efficiency, including partitioning, file formats (e.g., Parquet, ORC), and compression techniques
• AI / ML Enablement and Vector Infrastructure: Collaborate with data science teams to implement embedding models, vectorization pipelines, and real-time inference architectures
• Design and manage vector storage systems (e.g., S3-based, FAISS, Pinecone, or Amazon OpenSearch) to support semantic search, retrieval-augmented generation (RAG), and intelligent data access
• Ensure vectorized data pipelines are aligned with model training, evaluation, and deployment strategies
• Healthcare Data Architecture & Interoperability: Architect systems to ingest, process, and store FHIR-compliant JSON data from EHRs, APIs, and HL7 sources
• Ensure conformance with healthcare interoperability standards and optimize for queryability and downstream analytics
• Implement data normalization and enrichment pipelines for use in both clinical and operational contexts
• Security, Compliance & Governance: Lead efforts to ensure data security at rest and in transit using AWS-native encryption, IAM, VPC controls, and bucket policies
• Implement and manage data access controls, audit logging, and role-based security models across AWS environments
• Oversee data governance including lineage, cataloging, and stewardship with tools such as AWS Glue Data Catalog, Lake Formation, or third-party platforms
• Team Leadership & Cross-Functional Collaboration: Build and lead a high-performing team of data architects and engineers
• Work closely with stakeholders from engineering, data science, product, and compliance teams to deliver data initiatives

• Bachelor's or Master's in Computer Science, Data Engineering, or related field
• 8–12+ years of experience in data architecture with 3–5 years in a technical leadership role
• Proven experience architecting AWS-based data lakes and analytics pipelines
• Deep understanding of healthcare data standards (FHIR, HL7) and working with FHIR JSON objects in large-scale systems
• Expertise with embedding and vectorization models, semantic search, and managing vector storage solutions
• Hands-on experience with Amazon S3, Mountpoint for S3, and optimizing S3-based workloads for performance and cost
• Strong background in data security, encryption, access control, and compliance frameworks (HIPAA, HITRUST)
• Preferred Qualifications
• AWS certifications (e.g., AWS Certified Big Data or Data Analytics – Specialty)
• Familiarity with open-source vector databases (e.g., FAISS, Weaviate) and MLOps pipelines
• Experience in clinical systems integration, claims processing, or population health analytics

• This is an independent contractor position.
• Job Type : Full-time
• Location : Remote
• Hours : Available during standard US business hours (9am-5pm EST or 8 : 30am-4 : 30pm EST)

• This job description is intended to describe the general requirements for the position.
• It is not a complete statement of duties, responsibilities or requirements.
• Other duties not listed here may be assigned as necessary to ensure proper operations of the department.

We are seeking an experienced data engineer to join our team. The ideal candidate will have a strong background in designing and implementing scalable data pipelines, storage systems, and tools to support analytics and research efforts.

We are seeking an experienced Data Platform Architect to design and build scalable data platforms.

The ideal candidate should have a strong background in cloud services, data engineering, AI platform development, data integrity, and schema design.

The role demands expertise in ETL techniques, open-source tools, data migration, and enterprise data architecture.

• Design and implement scalable and secure data platforms ensuring high availability and performance.
• Develop and optimize data pipelines and ETL processes using modern frameworks and methodologies.
• Implement AI & ML Platforms ensuring seamless integration with enterprise data ecosystems.
• Ensure data integrity and governance by enforcing best practices for security, compliance, and quality.
• Oversee data migration strategies and execution from legacy to modern architectures.
• Leverage AWS Services including S3, Redshift, Glue, EMR, Athena, Lambda, DynamoDB, and Kinesis.
• Lead open-source adoption integrating tools like Apache Spark, Airflow, Kafka, and Flink for data processing.
• Collaborate with cross-functional teams including data engineers, data scientists, and DevOps to streamline data workflows.
• Monitor performance and scalability proactively addressing bottlenecks in data processing and analytics.
• Establish best practices for data modeling, schema design, and data architecture across various domains.
• Mentor and guide engineering teams to enhance data capabilities within the organization.

Requirements:

• 15+ years of experience in data engineering, data architecture, and cloud-based platforms.
• Expertise in AWS Cloud Services and hands-on experience with data storage, compute, and analytics tools.
• Strong ETL and data processing knowledge including batch and real-time data streaming.

Why Work with Us?

• Work with cutting-edge technologies in data and AI.
• Influence key architectural decisions and drive innovation.
• Competitive compensation and benefits package.
• A collaborative and high-performing team environment.