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data engineer

data engineer automation ai

Riverflex

<div>Job Title: Data Engineer &ndash; Automation &amp; AI
Location: UAE &ndash; Abu Dhabi or Dubai 
Engagement: Full-time (On-site) 
Contract duration: 3 months + possible extensions 
Start date: February 2026 
 
Riverflex is partnering with a leading financial institution in the UAE on a strategic Proof of Concept focused on increasing data engineering productivity through automation and AI. We are seeking a Data Engineer &ndash; Automation &amp; AI with strong GenAI and agent-based experience to own this PoC end-to-end, applying AI- and agent-assisted techniques to the design, migration, and development of AWS-based data pipelines. 
This role is explicitly focused on accelerating data engineering ways of working using AI, not solely on building pipelines. You will act as the internal lead on how AI should be applied in day-to-day data engineering, working closely with the partner&rsquo;s Data Lead and embedded with the on-site engineering team. A key part of the scope is translating legacy SQL and stored procedures into modern AWS Glue pipelines, while defining practical AI patterns, tool and guardrails that scale beyond the PoC. 
Responsibilities
Data engineering &amp; pipeline delivery<ul><li>
Design, build, and evolve AWS Glue&ndash;based data pipelines using Spark and SQL.</li><li>
Translate legacy SQL scripts and stored procedures into AWS Glue pipelines</li><li>
Ensure migrated and newly built pipelines meet agreed standards for correctness, performance, and maintainability.</li></ul>
AI-driven engineering acceleration<ul><li>
Apply Generative AI and agent-based techniques to accelerate data engineering tasks, including code generation/refactoring, pipeline dev. and standardisation</li><li>
Own the design and implementation of AI-assisted tooling that integrates directly into day-to-day engineering workflows</li><li>
Codify successful patterns, reusable tools, and recommended ways of working for scaling beyond the PoC</li></ul>
AI tooling &amp; experimentation<ul><li>
Work hands-on with Python and LLM APIs to build pragmatic, internal DE tools</li><li>
Design effective prompts &amp; interaction patterns for code generation &amp; transformation</li><li>
Evaluate and work with enterprise-grade AI platforms (e.g. AWS Bedrock, Azure AI Foundry) using GPT-4 / Claude-class models</li><li>
Define practical rules of thumb and guardrails (e.g. where automation works, where it breaks down, where human intervention is required).</li></ul>
Collaboration &amp; ways-of-working<ul><li>
Work closely with data and platform engineers to (dis)prove automation hypotheses and identify where AI adds real productivity gains vs. noise</li><li>
Document outcomes and recommendations from the PoC and provide clear guidance on how AI should (and should not) be used in data engineering at scale</li></ul><ul><li> 
6+ years of experience in data engineering or closely related engineering roles.</li><li>
Proven experience owning and shaping data engineering solutions, not only implementing individual pipelines.</li><li>
Strong hands-on experience with AWS-based data engineering, including:<ul><li>
AWS Glue (jobs, transformations, orchestration)</li><li>
Spark (batch processing and transformations)</li><li>
Advanced SQL (complex logic, optimisation, performance tuning)</li><li>
End-to-end pipeline and workflow design</li></ul></li><li>
Solid (Python) engineering experience, including building reusable components and internal tooling.</li><li>
Demonstrated, practical experience applying Generative AI in engineering workflows, such as:<ul><li>
Working with LLM APIs (e.g. AWS Bedrock, Azure AI Foundry, OpenAI)</li><li>
Prompt design for code generation, refactoring, and transformation</li><li>
Understanding the limitations, failure modes, and risks of LLM-based automation</li></ul></li><li>
Experience designing AI-assisted engineering workflows or tools, for example:<ul><li>
API-based services (e.g. FastAPI)</li><li>
MCP (or agent)-like orchestration patterns</li></ul></li><li>
Able to balance short-term PoC delivery with longer-term capability building.</li><li>
Experience in financial services or other regulated environments is a strong advantage.</li><li>
Ability to be based in the UAE for a minimum of 3 months, working full-time on-site (Abu Dhabi or Dubai).</li></ul> 
This is a unique opportunity to directly impact the data engineering capability of a major financial institution, with real, hands-on use of GenAI - while working on-site in the UAE, at the heart of one of the world&rsquo;s fastest-growing technology and financial hubs. You will operate in a high-impact setting alongside senior stakeholders on a greenfield AI for Data Engineering initiative with strong executive backing. If you are interested, we&rsquo;d love to connect. 
Apply now!</div>

Data Engineer - Automation & AI

Open Innovation AI

<div>
 
 
 Company Overview
 
 
 
 
 
 
 Open Innovation AI is a global technology company that specializes in developing advanced solutions for managing AI workloads. Its flagship product, the Open Innovation Cluster Manager (OICM), orchestrates complex AI tasks efficiently across diverse infrastructures. The platform is hardware-agnostic, optimized for various GPUs and accelerators hardware, and facilitates seamless integration and scalability for enterprise AI applications. Open Innovation AI focuses on optimizing and simplifying AI workload management and making AI technologies accessible to organizations of all sizes. With its innovative solutions, companies can reduce operational costs, accelerate time to value, and maximize their return on investment, ensuring that their AI strategies contribute directly to enhanced business outcomes.
 
 
 
 
 
 
 Role Overview:
 
 
 
 
 
 
 The Network Engineer is responsible for supporting the design, validation, and implementation of data center and Kubernetes networking for Open Innovation AI&rsquo;s platform deployments. Working closely with Systems Engineering and Development teams, the Network Engineer contributes to network design preparation, BOQ review, automation development, and ensuring the reliability and scalability of networking components across on-premises and hybrid environments
 
 
 
 
 
 
 Roles and Responsibilities:
 
 
 
 
 
 <ul>
 <li>
 Contribute to the preparation of network designs and technical documentation, including LLDs, topology diagrams, and deployment plans.
 </li>
 <li>
 Review vendor BOQs and design packages to ensure accuracy, compliance with architecture standards, and suitability for system integration.
 </li>
 <li>
 Support the development of standardized configuration templates, automation work-flows, and deployment guidelines used across customer environments.
 </li>
 <li>
 Provide subject-matter expertise for data center networking, routing, switching, and Kubernetes networking concepts within the Systems Engineering team.
 </li>
 <li>
 Ensure network designs correctly account for high-performance networking requirements, including RoCE or InfiniBand-based connectivity for GPU clusters and distributed AI workloads.
 </li>
 <li>
 Collaborate with Platform and Systems teams to validate integration between data center networks and HPC fabrics, ensuring consistency in performance, latency, and architecture alignment.
 </li>
 <li>
 Collaborate with architects, platform engineers, and DevOps teams to ensure network requirements are correctly incorporated into product and platform designs.
 </li>
 <li>
 Assist in validating new network designs, hardware platforms, and integration approach-es in lab or staging environments before production rollout.
 </li>
 <li>
 Offer technical guidance to internal teams and deployment engineers, ensuring consistent implementation of approved networking standards.
 </li>
 <li>
 Support escalations for complex networking issues, coordinating with architects and vendors where necessary.
 </li>
 <li>
 Maintain internal documentation, runbooks, and reference materials to support standardization and operational readiness across projects.
 </li>
 </ul>
 
 
 
 
 
 Qualification, Experience, Competence and Certifications
 
 
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Electrical/Telecommunications Engineering, or a related technical field.
 </li>
 <li>
 4&ndash;7 years of experience in network engineering within data center, cloud, or large-scale distributed environments.
 </li>
 <li>
 Demonstrated experience preparing technical design documentation such as LLDs, topology diagrams, and cabling/interconnect plans.
 </li>
 <li>
 Practical experience reviewing vendor proposals and BOQs, with strong attention to de-tail in validating hardware requirements and architectural alignment.
 </li>
 <li>
 Strong understanding of L2/L3 networking concepts, routing protocols, and modern data center network design principles.
 </li>
 <li>
 Working knowledge of HPC networking concepts, including RoCE-based high-performance fabrics or InfiniBand-based cluster networking, and how they integrate with compute and storage architectures.
 </li>
 <li>
 Hands-on experience with Kubernetes networking fundamentals, including CNI concepts, ingress/egress patterns, network policies, and service connectivity models.
 </li>
 <li>
 Experience with infrastructure automation tools such as Ansible, Terraform, or Python for configuration standardization and deployment workflows.
 </li>
 <li>
 Familiarity with network performance, monitoring, and telemetry considerations in large-scale or distributed environments.
 </li>
 <li>
 Experience working with cross-functional engineering teams and engaging vendors for technical escalations, design clarifications, or deployment support.
 </li>
 <li>
 Strong documentation, analytical, and problem-solving skills, with the ability to communicate clearly and work collaboratively across architecture, platform, and delivery teams.
 </li>
 <li>
 Professional networking certifications such as CCNP, JNCIP, or equivalent are preferred; advanced or cloud/data center certifications are an advantage
 </li>
 </ul>
 
 
 
 
 
 Reporting To:
 
 Senior Manager &ndash; Systems Engineering
 
</div>

Senior Network Engineer

RE/MAX Smart Concept

Hiring: AI Automation EngineerFull-Time | Abu Dhabi - RE/MAX Smart ConceptWe are hiring a full-time Automation Engineer to build and maintain workflow automations across our CRM and internal systems.This is a hands-on execution role focused on automation reliability and system integration.Responsibilities<ul><li>Build automation workflows using Make / Zapier / n8n</li><li>Integrate CRM systems via API (read &amp; write)</li><li>Connect workflows to Slack, Email, WhatsApp Business API</li><li>Ensure logging, error handling, and monitoring</li><li>Test, document, and maintain workflows</li></ul>Requirements<ul><li>Strong experience with Make / Zapier / n8n</li><li>CRM API integration experience (Bitrix24 or similar)</li><li>Slack, Email, and WhatsApp Business API integration</li><li>Solid understanding of APIs, webhooks, and automation logic</li></ul>Notes<ul><li>Execution role only</li><li>No strategy, no AI model training</li><li>No CRM redesign</li></ul>Job Type<ul><li>Full-Time</li><li>Office-based &ndash; Abu Dhabi</li><li>Long-term ownership of automation systems</li></ul>ApplySend your CV or profile with a brief summary of:<ul><li>Automations you&rsquo;ve built</li><li>CRMs you&rsquo;ve integrated</li><li>Tools used</li></ul>#Hiring#AutomationEngineer#Jobvacancy#AbuDhabiJobs#TechJobsUAE#vacancy#REMAXSmartConceptJob Type: Full-timeWork Location: On the road

Automation Engineer

Deeplight

<div>DeepLight AI is a specialist AI and data consultancy with extensive experience implementing intelligent enterprise systems across multiple industries, with particular depth in financial services and banking. Our team combines deep expertise in data science, statistical modeling, AI/ML technologies, workflow automation, and systems integration with a practical understanding of complex business operations.
We are seeking a Lakehouse Platform Engineer to serve as the lead architect and custodian of our enterprise data backbone. In this pivotal consultancy role, you will be responsible for the health, scalability, and evolution of our entire technology stack, ensuring that our Lakehouse architecture is not only reliable but optimized for high-performance AI and analytics. You will own the lifecycle of AWS Glue jobs, manage the intricacies of Apache Iceberg table registries, and operationalize industry-leading tools like OpenMetadata for governance and Soda Core for data quality. From designing robust Disaster Recovery (DR) scenarios to automating infrastructure via Terraform, your work will provide the foundation upon which our Data Factory squads build the future of intelligent enterprise systems.
As a consultant within our specialist firm, your technical prowess is matched by your ability to drive adoption. You will act as a bridge between platform engineering and business-critical operations, &quot;selling&quot; the value of self-service tooling and automated lineage to senior stakeholders. We are looking for a master problem-solver with 8+ years of experience&mdash;ideally within financial services or banking&mdash;who thrives in fast-paced, Agile environments. If you are passionate about decommissioning legacy technical debt while building state-of-the-art, automated data platforms that meet aggressive migration targets, you will find your home at DeepLight AI.
Your responsibilities as the AWS Lakehouse Platform Engineer:<ul>
<li>
Platform Management &amp; Optimization</li>
<li><ul><li>Manage and maintain Lakehouse components:</li>
<li><ul><li>Storage: S3 bucket configurations, lifecycle policies, storage optimization.</li>
<li>Compute: AWS Glue job management, optimization, DPU allocation.</li>
<li>Catalog: AWS Glue Data Catalog and Iceberg table registry.</li>
<li>Semantic Layer: Deploy and integrate with our semantic layer.</li>
<li>Governance: Deploy, configure, and upgrade OpenMetadata.</li>
<li>Quality: Maintain Soda Core infrastructure and integration.</li>
</ul></li><li>Apply Iceberg best practices for table optimization and maintenance.</li>
<li>Implement automated table maintenance processes.</li>
</ul></li><li>Self-Service &amp; Automation</li>
<li><ul><li>Deploy self-service tooling for Data Factory squads.</li>
<li>Implement automated lineage capture from Glue jobs.</li>
<li>Configure audit logging (CloudTrail, S3 access logs).</li>
</ul></li><li>Disaster Recovery &amp; Reliability</li>
<li><ul><li>Design and implement Disaster Recovery (DR) scenarios including failover, backup management, and runbooks.</li>
<li>Execute annual DR tests for the entire data landscape.</li>
<li>Ensure all critical platform components are monitored, with alerting and active follow-up.</li>
</ul></li><li>Migration &amp; Decommissioning</li>
<li><ul><li>Execute decommissioning roadmap.</li></ul></li>
<li>Collaboration</li>
<li><ul><li>Work closely with platform engineers and architects to ensure alignment on optimization and tooling.</li>
<li>Partner with operational teams for monitoring and alerting.</li>
</ul></li>
</ul>As an AI consultancy, our greatest asset is the expertise of our people. 
 
While technical mastery is the foundation of what we do, the ability to bridge the gap between complex data science and actionable business value is what defines your success with Deeplight. 
 
We're looking for individuals who are not only world-class in their fields of specialism, but also compelling communicators and persuasive advocates for their own skills. 
 
You will be the face of our firm, tasked with building trust, articulating the &quot;why&quot; behind your technical decisions, and effectively &quot;selling&quot; your vision to high-level stakeholders. 
 
If you thrive on the challenge of presenting cutting-edge solutions as much as you do on building them, you will fit right in.
Requirements
You will have experience in: 
<ul>
<li>
data platform engineering or related roles, ideally a minimum of 8 years experience.
</li><li>managing Lakehouse platforms on AWS.</li>
<li>AWS services: S3, Glue, CloudTrail, Athena.</li>
<li>Apache Iceberg, OpenMetadata, and Soda Core.</li>
</ul>
You should also have knowledge of:<ul>
<li>
disaster recovery planning and execution.</li>
<li>infrastructure automation using Terraform and Git.</li>
<li>Kafka (MSK) and OpenSearch.</li>
<li>identifying ways to automate their work / repetitive tasks.</li>
<li>problem-solving and troubleshooting skills.</li>
<li>working cross-functionally and manage complex platform operations.</li>
<li>working in a fast-paced environment and deliver aggressive migration targets.</li>
<li>collaborating and communication skills.</li>
<li>working with Jira and agile way of working.</li>
</ul>
As an AI consultancy, our greatest asset is the expertise of our people.
While technical mastery is the foundation of what we do, the ability to bridge the gap between complex data science and actionable business value is what defines your success with Deeplight.
We're looking for individuals who are not only world-class in their fields of specialism, but also compelling communicators and persuasive advocates for their own skills.
You will be the face of our firm, tasked with building trust, articulating the &quot;why&quot; behind your technical decisions, and effectively &quot;selling&quot; your vision to high-level stakeholders.
If you thrive on the challenge of presenting cutting-edge solutions as much as you do on building them, you will fit right in.
Benefits
Benefits &amp; Growth Opportunities:<ul><li>Competitive salary and performance bonuses</li><li>Comprehensive health insurance</li><li>Professional development and certification support</li><li>Opportunity to work on cutting-edge AI projects</li><li>Flexible working arrangements</li><li>Career advancement opportunities in a rapidly growing AI company</li></ul>
This position offers a unique opportunity 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 role in driving our company's success in delivering transformative AI solutions to our clients.
At DeepLight AI, we recognise that diversity drives innovation. We are committed to fostering an inclusive environment where individuals with different thinking styles can thrive and contribute their unique strengths to our specialised AI and data solutions.
Our goal is to ensure our application and interview process is accessible, predictable, and fair for all candidates.
If you require any specific adjustments to the application process, or if you require any reasonable adjustments should you be successful in being processed to the interview stage, please do let us know. This information will be kept strictly confidential and will not impact hiring decisions.</div>

AWS Lakehouse Platform Engineer

Qode

Position: Automation Lead – Data & AI (Power Platform): 
Location: Abu DhabiExperience: 12+ Years
 
Role Overview: 
We are looking for an experienced Automation Lead to architect and drive enterprise-wide low-code and automation initiatives using Microsoft Power Platform. The ideal candidate will lead solution design, governance, integrations, and delivery while closely partnering with business stakeholders to drive digital transformation and AI-led automation.
 
Key Responsibilities: 
Architect scalable solutions using Power Apps, Power Automate, and Copilot StudioDefine governance models, standards, and platform best practicesLead Dataverse data modeling and cross-system integrations (ERP/CRM/Custom Applications)Drive automation fitment discussions and end-to-end solution designLead and mentor low-code development teams; ensure delivery qualityEngage business stakeholders to identify automation use cases and ROIPromote AI-driven automation using Copilot Studio and AI Builder
 
Requirements: 
12+ years of overall application development experience7+ years of leadership experience with Microsoft Power PlatformStrong hands-on expertise in Power Apps, Power Automate, Power BI, Dataverse, and Copilot StudioProven experience integrating with SharePoint, Azure services, SQL, ERP/CRM systemsStrong background in governance, CoE models, and solution architectureExcellent leadership, communication, and stakeholder management skills
 
Certifications (Mandatory): 
PL-600PL-900•

Automation Lead

Merit for Economic and Management Consultancy

Role Summary:Support Consultant team in collect, manage and analyzes organizational data to generate actionable insights supporting strategic planning, performance management, and operational decision making. The role ensures data quality, develops dashboards and reports, identifies trends, and collaborates on AI driven analytics initiatives to enhance efficiency, automation, and data driven decisions aligned with client priorities.Key Responsibilities:<ul><li>Collect, validate, and manage actual result data to ensure accuracy and reliability.</li><li>Develop and maintain dashboards, reports, and visualizations to monitor KPIs and operational metrics.</li><li>Support consultant in analyzing data trends, identify gaps, and provide actionable insights to guide decision making.</li><li>Support AI and analytics initiatives to improve processes, performance, and automation.</li></ul>Qualifications &amp; Experience:<ul><li>Bachelor&rsquo;s degree in Data Analytics, Business Intelligence, Computer Science, Statistics, or a related field.</li><li>Minimum of 3+ years of experience in Business Intelligence, Data Analysis, or a similar role.</li><li>Strong experience in data visualization tools (e.g., Power BI, Tableau, or similar).</li><li>Proficiency in data analysis tools and languages such as SQL, Excel, Python, or R.</li><li>Exposure to AI, machine learning, or advanced analytics initiatives is an advantage.</li><li>Strong analytical, problem-solving, and communication skills.</li></ul>Job Type: Full-timeEducation:<ul><li>Bachelor's (Required)</li></ul>Experience:<ul><li>Business Intelligence, Data Analysis, or a similar role: 3 years (Required)</li></ul>

Business Intelligent & Data Analyst

Mubadala

<div>
 
 About Us:
 
 
 
 This position is offered as a 6-month contract with the possibility of extension based on business needs and performance. Continuation beyond the initial term is not guaranteed.
 
 
 Mubadala Investment Corporation (MIC) is a global investor, owned by the Government of Abu Dhabi, with USD 300+ BN assets under management, five global offices and business investments in 50+ countries. We innovate and invest across the world to create lasting value for our shareholders, our partners, and future generations.
 
 
 Portfolio Strategy helps our Investment Committee to focus on the longer-term performance and sustainability of our portfolio.
 
 
 We actively monitor the overall performance of our investments, the strategy execution progress, and the impact of various global trends and macroeconomic developments.
 
 
 
 What you will do:
 
 
 
 Work with the Strategy team to strengthen our strategy systems and data flows, improve the monitoring of the portfolio with dashboards and embed AI and automation into day-to-day workflows. The two consultants will split focus across the areas below while collaborating closely.
 
 
 
 Key Accountabilities
 
 
 
 
 Strategy Systems &amp; Transformation
 
 
 
 <ul>
 <li>
 Assist in ensuring allocations are reported and flowing correctly
 </li>
 <li>
 Review, update, and expand pipeline and allocation dashboards; develop additional smart dashboards (e.g., Group view, strategy monitoring) for executives and investment teams
 </li>
 <li>
 Develop and support integration of new systems (e.g. DealCloud to Efront, Aladin and MSCI) and support enhancements of existing systems
 
 
 </li>
 </ul>
 
 AI Integration, Analytics and Automation
 
 
 
 <ul>
 <li>
 Identify and prioritize AI/automation opportunities across strategy workflows and processes (e.g. portfolio construct, pipeline, allocation and portfolio monitoring and reporting)
 </li>
 <li>
 Optimize, automate, and document existing quantitative frameworks portfolio construction, and performance analytics to enhance consistency, efficiency, and scalability
 </li>
 <li>
 Build and deploy AI agents to support delivery of core research and investment strategy activities and generate greater insights
 </li>
 <li>
 Design, build, and maintain robust analytical models and code libraries (primarily in Python) to support investment research, portfolio management, and strategic analysis
 </li>
 <li>
 Build and maintain back testing and simulation frameworks to evaluate strategies, risk exposures, and investment scenarios under varying market conditions
 </li>
 <li>
 Collaborate with data vendors and internal stakeholders to source and structure alternative or proprietary datasets
 
 
 </li>
 </ul>
 Most importantly you will have passion for contributing to Mubadala&rsquo;s mission and growing a leading global investment company.
 
 
 
 What will you bring:
 
 
 
 <ul>
 <li>
 5&ndash;10 years in business/portfolio analytics, AI adoption and system integration, supporting investment managers or asset management institutions, or top-tier consulting/technology roles
 </li>
 <li>
 Solid understanding of private markets and investment life cycle across public and private asset classes
 </li>
 <li>
 Demonstrated experience with systems (e.g. eFront, BlackRock Aladdin) and data providers in private/public markets (e.g. Preqin, Bloomberg, S&amp;Ps etc&hellip;)
 </li>
 <li>
 Solid understanding of financial modeling concepts (valuation, IRR, performance attribution, risk models) and illiquid asset data structures
 </li>
 <li>
 Proficiency in Python (preferred) , including data manipulation, statistical modeling, and visualization libraries (e.g., pandas, NumPy, scikit-learn, Plotly, Dash)
 </li>
 <li>
 BI expertise (e.g. Power BI, Tableau)
 </li>
 <li>
 Experience building or maintaining quantitative tools, APIs, or system integrations across financial platforms
 </li>
 <li>
 Knowledge of databases (SQL) and ETL / data integration frameworks
 </li>
 <li>
 Proven ability to manage complex data projects, document processes, and communicate technical insights to non-technical stakeholders
 
 
 </li>
 </ul>
 
 Preferred Attributes
 
 
 
 <ul>
 <li>
 Experience working in or with sovereign wealth funds, asset managers, or institutional investors
 </li>
 <li>
 Knowledge of portfolio theory, asset allocation and private equity
 </li>
 <li>
 Ability to work cross-functionally with strategy, investment, and technology teams.
 </li>
 <li>
 Passion for innovation and continuous improvement in investment processes.
 </li>
 <li>
 Familiarity with AI/ML applications in finance, such as natural language processing, model optimization, or predictive analytics
 </li>
 <li>
 Knowledge of cloud-based data infrastructures (e.g., Azure, AWS) and data governance principles
 </li>
 <li>
 Experience with private market data modeling and system interoperability across multiple investment platforms
 </li>
 <li>
 Strong analytical thinking, attention to detail, and collaboration skills in cross-functional environments
 
 
 </li>
 </ul>
 
 What we offer:
 
 
 
 A superior platform to grow your career including.
 
 
 <ul>
 <li>
 A role that has social and financial impact
 </li>
 <li>
 Great working environment with talented colleagues
 </li>
 <li>
 Excellent work culture enabled by our values of Accountability, Inspiration, Integrity &amp; Partnership
 
 
 </li>
 </ul>
 Mubadala has an excellent working culture, enabled by our values of Accountability, Inspiration, Integrity &amp; Partnership. You will operate in a diverse, energetic and forward-thinking environment with hybrid working and wellness benefits to help you grow and develop, and market leading pay and benefits.
 
 
 
 Key Indicators:
 
 
 
 
 Location:
 
 Abu Dhabi
 
 
 
 Flexible Working
 
 : Remote working up to 5 days a month.
</div>

Consultant Portfolio Strategy

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