Data Engineer - Automation & AI

Job Title: Data Engineer – Automation & AILocation: Abu Dhabi or Dubai, UAEEngagement: Full-time (On-site)Contract Duration: 3 or 6 months + potential extensionsStart Date: February 2026Riverflex is collaborating with a premier financial institution in the UAE to spearhead a strategic Proof of Concept aimed at enhancing data engineering productivity through …

Join DeepLight AI, a leading consultancy specializing in artificial intelligence and data solutions, renowned for our ability to implement intelligent systems across diverse sectors, particularly in the financial services and banking industries. Our team merges profound expertise in data science, statistical modeling, and AI/ML technologies with a solid understanding of intricate business operations.The Quality Assurance & Application Testing & Automation Engineer will play a pivotal role in ensuring the quality, resilience, and performance of the bank's digital and core operational platforms. This position transcends traditional testing, concentrating on the comprehensive validation of innovative AI systems, mobile applications, and enterprise services. By architecting advanced automated frameworks and continuous testing pipelines, you will guarantee that each release—from Conversational AI agents to core banking microservices—adheres to the highest standards of security, scalability, and reliability. You will serve as a quality gatekeeper, partnering with engineering and cybersecurity teams to expedite deployment while upholding the bank's integrity.Your key responsibilities include:Validating next-generation AI platforms (voice and chat) for precision, stability, latency, and safety; ensuring AI-driven enterprise search effectively avoids hallucinations.Constructing and maintaining reusable automation frameworks for web, mobile, and API integrations utilizing Python, Selenium, or Playwright.Validating RAG (Retrieval-Augmented Generation) pipelines, vector search quality, and grounding accuracy to guarantee optimal data retrieval performance.Implementing automated quality checks for MLOps, encompassing drift detection, retraining validation, and model registry integrity.Conducting scenario-based testing for operational AI agents (KYC, Risk, Compliance) and validating high availability and disaster recovery protocols.Integrating automated quality gates into CI/CD pipelines to ensure continuous validation within containerized (Docker/Kubernetes) environments.Verifying that all AI engineering aligns with guardrails for fairness, security, explainability, and regulatory requirements.As an AI consultancy, our greatest asset is the expertise of our people. While technical mastery is the foundation of our work, the ability to bridge the gap between complex data science and actionable business value is what will define your success at DeepLight. We seek individuals who are not only world-class in their specializations but also excellent communicators and advocates for their skills. You will represent our firm, tasked with building trust, articulating the rationale behind your technical decisions, and effectively conveying your vision to high-level stakeholders.

At GenBio AI, we are pioneers in developing multiscale foundation models aimed at decoding and simulating the complexities of human biology. Our mission is to empower scientists in overcoming significant challenges in drug discovery, healthcare, and fundamental research through our innovative framework, AIDO (AI-Driven Digital Organism). This integrated system facilitates the prediction, simulation, and programming of biological systems at all levels. We are laying the groundwork today by engineering virtual cells to accurately model and simulate the essence of life.Our ambitious vision has attracted a diverse team of highly skilled researchers and engineers, all dedicated to turning this vision into reality. We take pride in our robust engineering culture and our commitment to an interdisciplinary, collaborative approach. Our headquarters is located in Palo Alto, with additional offices in Paris and Abu Dhabi.As our data ingestion demands continue to expand, we are seeking a Bioinformatics Data Engineer to serve as a vital link between raw biological data and our scalable infrastructure. Reporting directly to the Data Engineering Lead, you will utilize your extensive biological domain knowledge to design the initial scripts and processing logic for intricate datasets, ensuring they are ready for large-scale foundation model training.

DeepLight AI is a premier consultancy specializing in artificial intelligence and data solutions, recognized for our robust implementation of intelligent enterprise systems across diverse sectors, particularly in financial services and banking. Our team expertly merges advanced data science, statistical modeling, AI/ML technologies, workflow automation, and systems integration with a profound understanding of intricate business operations.We are on the lookout for a talented AWS Glue Data Engineer to enhance our Data Factory Squad. In this role, you will take charge of migrating source systems into our Lakehouse ingestion zone, focusing on the development of scalable ingestion pipelines, optimizing performance, and ensuring adherence to architectural and data assurance standards.The ideal candidate will possess substantial experience in financial services, with a strong command of AWS Glue, PySpark, and ETL pipeline development.Your key responsibilities as the AWS Glue Data Engineer will encompass:Data Ingestion DevelopmentCreating and implementing AWS Glue jobs for Bronze layer ingestion using established standards and templates.Employing appropriate loading techniques based on source requirements (CDC, full load, delta, snapshot).Designing and executing historical loading processes to integrate legacy data into the Lakehouse.Performance OptimizationEnhancing Glue job performance (DPU allocation, parallelization, partitioning) in line with industry best practices.Collaborating with platform teams to ensure alignment in tooling and optimization efforts.Migration & AutomationProactively migrating source tables to the Bronze layer, initially utilizing manual methods with standards/templates, and subsequently leveraging AI-driven acceleration.Ensuring jobs are version-controlled and that production deployment is automated using Git and Terraform.Governance & MonitoringEstablishing connectivity with source systems within the CDP in partnership with source system owners.Guaranteeing compliance with data contracts and effective monitoring of jobs.Preparing documentation and facilitating handover to operational support teams.CollaborationWorking closely with the Data Architect to establish ingestion patterns and standards.Coordinating with the Data Assurance Lead to ensure quality checks across all jobs.Partnering with platform engineers for tooling and optimization enhancements.RequirementsWe expect you to have:Expertise in AWS Glue, PySpark, and ETL pipeline development;In-depth knowledge of Lakehouse architecture and Medallion design principles;Familiarity with CDC, delta loads, and historical data ingestion strategies;5+ years of experience in data engineering roles, with a focus on...

Join Ghobash Group as a Project Engineer specializing in Automation. This pivotal role will leverage your engineering expertise to drive automation projects, ensuring efficiency and innovation in our operations. You will collaborate with a dynamic team, utilizing cutting-edge technologies to enhance productivity and streamline processes.

Join the innovative team at Ghobash Group as a Senior Project Engineer specializing in Industrial Automation. In this pivotal role, you will lead complex projects to enhance automation in various industrial sectors.Your expertise will drive the successful execution of engineering projects from inception to completion, ensuring that all phases are aligned with client expectations and industry standards.

JOB PURPOSEAs the Associate Vice President – Data Engineering Lead, you will be a pivotal member of our team, responsible for the architecture, construction, and scaling of cutting-edge data engineering and artificial intelligence platforms within our organization. This role merges deep technical expertise with architectural leadership to create secure, scalable, and production-ready data pipelines and AI solutions, including advanced Generative AI and large language model (LLM) systems.You will engage in the design and implementation of robust data and AI architectures, write high-quality production code, prototype innovative capabilities, and collaborate closely with data engineers, data scientists, and product teams to operationalize analytics and AI use cases at an enterprise scale.ROLES AND RESPONSIBILITIES- Architect, build, and enhance scalable data pipelines using Python, Spark, and Databricks for both batch and real-time workloads.- Design, develop, and maintain ELT/ETL pipelines, data transformations, and feature engineering workflows.- Prototype, test, and productionize AI and Generative AI solutions, advancing from proof of concepts to enterprise-ready applications.- Build and deploy cloud-native data and AI solutions on Microsoft Azure, utilizing services such as Azure OpenAI, Azure Databricks, Azure Kubernetes Service, App Services, Azure Functions, and Azure Storage.- Develop containerized data and AI services using Docker and Kubernetes, adhering to DevOps and CI/CD best practices.- Create and implement secure APIs and microservices to expose data and AI capabilities to downstream applications.- Implement monitoring and observability for data pipelines and AI systems, focusing on metrics such as latency, data quality, model performance, drift, and cost efficiency.- Optimize cloud and AI workloads for performance, scalability, and cost-effectiveness.- Actively contribute to code, perform design and code reviews, and troubleshoot complex production issues across data and AI systems.- Serve as a hands-on technical mentor, leading by example within data engineering and AI teams.- Influence technical standards and long-term architecture while being actively involved in daily delivery.

Join Sia, a leading management consulting firm, as a passionate and analytical UAE National with expertise in Data Science, Artificial Intelligence, or related disciplines. This exciting opportunity is tailored for recent graduates or individuals with up to one year of experience who are enthusiastic about harnessing data and AI to tackle intricate business challenges.In this role, you will collaborate closely with seasoned consultants and clients to aid in strategy formulation, data evaluation, AI use-case identification, and initiatives for digital transformation.Key ResponsibilitiesAssist in consulting projects spanning strategy, digital transformation, and AI ventures.Examine structured and unstructured data to provide actionable insights.Help identify AI and automation prospects for client engagements.Create dashboards, reports, and presentations for client stakeholders.Conduct market research, benchmarking, and industry evaluations.Support the development of business cases for AI-driven solutions.Engage in client meetings and workshops.Prepare high-quality presentations and documentation.

At Alpheya, we are on a mission to revolutionize the WealthTech landscape. As a B2B startup located in Abu Dhabi, we are proudly supported by BNY Mellon, the oldest bank in America, and Lunate, a significant player in the alternative asset management sector with over $100 billion in AUM. With $300 million raised, we are developing a cutting-edge wealth technology platform designed to empower financial institutions across the Middle East.Our goal is to enhance our clients' Wealth franchises by providing unique experiences, comprehensive financial solutions, and actionable insights. Our digital wealth management platform is set to help banks and financial institutions effectively engage with affluent, HNW, and UHNW investor segments.While we leverage the strengths of established organizations, we maintain the agility and innovation of a startup, featuring cross-functional and dynamic teams.For further details, please visit www.alpheya.com

About Brain Co.Brain Co. is an innovative Applied AI startup co-founded by Elad Gil and Jared Kushner, with support from some of Silicon Valley's most influential figures, including Patrick Collison (CEO of Stripe), Andrej Karpathy (Cofounder of OpenAI), Mike Krieger (CPO of Anthropic), Kevin Weil (CPO of OpenAI), and Aravind Srinivas (CEO of Perplexity). Our mission is to create an AI platform and applications that address the pressing challenges faced by the world's most crucial institutions, resulting in real-world impact. Our Achievements:Revolutionized construction permitting for a sovereign government, achieving 80% faster processes and unlocking over $375 million in value.Enhanced supply chains for a leading global energy firm, resulting in a 30% cost reduction and 99% reliability, preventing losses exceeding $100 million.Improved patient care across national health systems, yielding 40% better outcomes and reducing administrative workload by 80%.Secured a $30 million Series A funding from premier investors.Assembled a team of over 40 AI specialists from top tech companies like Tesla, Google DeepMind, NVIDIA, and Databricks.At Brain Co., your contributions will directly impact the real world, as we prioritize rapid deployment over theoretical research. We are in search of outstanding individuals eager to take initiative from day one.About The RoleAs an AI Product Engineer, you will be instrumental in developing and deploying cutting-edge software solutions aimed at automating various real-world challenges. You will collaborate closely with clients to define product specifications and build solutions from the ground up. From crafting robust front-end interfaces to creating scalable back-end systems, you will transform research breakthroughs into practical applications for diverse nation-states. This role offers you the chance to make a meaningful impact by rendering AI technology accessible and influential.Key Responsibilities:Innovate and Deploy: Design, develop, and implement advanced software solutions that incorporate AI to solve real-world issues, particularly focused on automating complex manual processes within governmental and industrial sectors. Utilize modern web frameworks, microservices architecture, and cloud computing to create applications that tackle intricate optimization challenges.Drive Significant Impact: Engage directly with essential customer stakeholders to implement groundbreaking AI solutions while collaborating with experienced ex-founders, government officials, AI researchers, and engineers. Grasp complex business challenges and deliver software solutions that drive results.

About the Institute of Foundation Models The Institute of Foundation Models is a pioneering research laboratory committed to the development, comprehension, utilization, and risk management of foundation models. Our mission is to propel research initiatives, cultivate the next generation of AI innovators, and make significant contributions to a knowledge-based economy. Joining our team means engaging in the heart of advanced foundation model training, collaborating with esteemed researchers, data scientists, and engineers to address fundamental and high-impact challenges in AI advancement. You will play a vital role in crafting innovative AI solutions capable of transforming entire sectors. Your strategic and inventive problem-solving abilities will contribute to establishing MBZUAI as a worldwide leader in high-performance computing for deep learning, fostering discoveries that will inspire future AI trailblazers.The Role As a Data Engineer focused on Natural Language Processing (NLP) and large-scale data processing, your primary responsibility will be to efficiently collect, curate, and prepare high-quality datasets that support groundbreaking NLP research. You will empower researchers by providing essential data through scalable engineering practices, including web crawling, LLM-generated content refinement, and robust data pipelines, primarily utilizing Python and associated technologies.

Join Etihad Airways as a Manager of Data & Platform Engineering, where you will lead the engineering team to develop and enhance our data platforms. This role is pivotal in ensuring the integrity and performance of our data systems, enabling us to drive business intelligence and operational excellence.

As the Head of Enterprise Data Platforms, you will spearhead the strategic design, development, and governance of the bank's enterprise data ecosystems. Your leadership will be essential in establishing a robust, scalable, and secure data architecture that facilitates data-driven decision-making and supports advanced analytics, artificial intelligence, and innovative initiatives. This role is crucial in driving the bank's digital transformation, delivering real-time insights, and ensuring compliance with regulatory standards across all business units.Key Responsibilities:Formulate and implement the enterprise data platform strategy, aligning closely with the bank’s digital and AI objectives.Lead the creation of a modern, cloud-based data architecture, including data lakehouses and data fabrics.Drive the simplification of the data estate by phasing out outdated and non-scalable platforms and tools.Oversee the integration of diverse structured and unstructured data sources across the organization.Ensure optimal performance, availability, and scalability of data platforms.Establish and maintain data governance and management practices in collaboration with the Data Governance unit.Work alongside data science, analytics, and business operations teams to promote self-service data access and advanced analytical capabilities.Champion the adoption of DevOps and DataOps methodologies for enhanced automation and continuous delivery.Manage relationships with external vendors and assess emerging technologies for platform improvements.Maintain adherence to regulatory requirements and internal audit standards.Lead, mentor, and cultivate a high-performing team comprising data engineers, architects, and platform specialists.Oversee the data platform budget, ensuring cost-effectiveness.Report on platform performance, usage metrics, and value delivery to executive leadership.Foster a culture of innovation and continuous improvement within the data function.Represent the bank at industry forums and contribute to thought leadership in data platform strategy.

About Brain Co.Brain Co. is an innovative Applied AI startup founded by visionaries Elad Gil and Jared Kushner, supported by prominent figures in Silicon Valley such as Patrick Collison (CEO of Stripe) and Andrej Karpathy (Cofounder of OpenAI). Our mission is to create an AI platform and applications that address critical challenges faced by major institutions around the globe, effecting real-world change.Our achievements include:Accelerated construction permitting for a government, resulting in an 80% increase in efficiency and unlocking over $375 million in value.Enhanced supply chains for a leading global energy firm, achieving a 30% reduction in costs and 99% reliability, preventing over $100 million in losses.Improved hospital patient care across national health systems, yielding 40% better outcomes with 80% less administrative workload.Secured a $30 million Series A funding round from top-tier investors.Assembled a talented team of over 40 AI specialists from top companies like Tesla, Google DeepMind, NVIDIA, and Databricks.At Brain Co., your work will directly influence real-world applications rather than remaining confined to research. We are rapidly expanding and looking for exceptional individuals ready to take charge from day one.

Postdoctoral Researcher – AI for Climate ScienceLocation: ADIA Lab, Abu DhabiEligibility: PhD completed within the last three years in Climate Science, Atmospheric Science, Agrometeorology, Physical Oceanography, Applied and Computational Mathematics, Physics, Engineering, or a related field.About the RoleJoin the innovative team at ADIA Lab as a Postdoctoral Researcher in AI for Climate Science, where you will spearhead research initiatives that leverage artificial intelligence, data science, and high-performance computing to enhance our understanding of Earth's systems. You will collaborate on impactful projects that intersect AI, climate modeling, and sustainability, contributing to our mission of tackling global challenges through advanced computational sciences.Research Focus AreasThe Postdoctoral Researcher will focus on one or more of the following key areas: 1. Earth System Data Curation and PlatformsInnovate new datasets and fusion methodologies that integrate satellite, in-situ, IoT, and citizen-science Earth system data.Utilize AI-driven interpolation, transfer learning, and synthetic data generation to address spatiotemporal data gaps in crucial environmental parameters.Construct quality-controlled, scalable climate data platforms enriched with metadata, ML annotations, and standardized classification schemes.Enhance data pipelines for Earth System Digital Twin (ESDT) case studies. 2. AI and Hybrid AI-Physics-based Earth System ModelsDevelop and refine foundational models that integrate satellite, reanalysis, and sensor data.Incorporate physics-aware machine learning into climate and weather models to improve process representation at sub-kilometer scales.Advance AI-driven data assimilation, emulation, and post-processing techniques for predicting weather-to-climate transitions.Establish large language model (LLM) frameworks to enhance synthesis and scientific reasoning in Earth system analysis. 3. AI for Climate Adaptation and ResilienceAssess uncertainty in downscaled projections of future extreme weather and climate hazards.Conduct case studies that link climate impacts to water security, energy systems, infrastructure performance, and financial risk.Foster partnerships with sectoral experts and policymakers to co-design AI tools that inform scenario planning, adaptive investment strategies, and early-warning systems. 4. Ethical Climate AI and GovernanceCreate operational science infrastructures for benchmarking AI methodologies in climate science.Contribute to the establishment of shared experimental standards and reproducibility protocols.

New Era Technology brings together over 3,000 professionals worldwide, delivering large-scale technology solutions that connect people, locations, and information securely. The company places people at the center of its mission, emphasizing empowerment and support for individual growth. Workplace Culture Collaboration shapes daily work at New Era Technology. Employees team up with industry-certified experts and benefit from ongoing training. The company encourages both personal and professional development, helping team members advance in their careers. Values People-first approach Commitment to continuous learning Focus on collaboration and inclusion These values influence how the team delivers customer service and supports each other. What to Expect Supportive environment that prioritizes growth Opportunities for ongoing learning and training Attractive benefits package Inclusive, collaborative culture This Senior AI Consultant position in Abu Dhabi offers the chance to contribute to a company that values both people and technology, providing space to build a meaningful career.

DeepLight AI is a premier consultancy specializing in artificial intelligence and data solutions, boasting a rich history of delivering intelligent enterprise systems across various sectors, with a strong focus on financial services and banking. Our diverse team merges profound knowledge in data science, statistical modeling, AI/ML technologies, workflow automation, and systems integration with an in-depth understanding of intricate business operations.The Generative AI Solution Architect is a pivotal leadership position tasked with designing, orchestrating, and expanding ADCB’s Artificial Intelligence ecosystem. You will be the chief architect for innovative customer and employee experiences, effectively linking ambitious product aspirations with reliable, enterprise-grade technology. This role emphasizes the seamless integration of Generative AI, Large Language Models (LLMs), agentic workflows, and RAG pipelines into the bank's wider digital value streams. You will not only create models but also construct secure, compliant, and highly scalable systems that transform the bank's operations in a digital-first environment.As the Generative AI Solution Architect, your key responsibilities will include:Designing comprehensive solutions for Conversational AI, LLM-based agents, and enterprise knowledge platforms (RAG) that align with the bank's strategic vision.Assessing and selecting the most suitable technology stack (e.g., Azure OpenAI, LangChain, Vector Databases) while advocating for the reuse of APIs and microservices to reduce technical debt.Leading and mentoring tech leads and engineering teams on AI architecture principles, ensuring high-quality technical implementation within a scaled agile framework.Creating and maintaining detailed solution architecture documentation to support platform-level governance and regulatory compliance.Acting as the primary technical liaison for internal stakeholders, translating complex AI capabilities into clear business value propositions and product specifications.Driving the rapid prototyping of innovative solutions such as multimodal AI and agentic systems, balancing speed-to-market with enterprise-level security.Providing support, coaching, and mentorship to junior team members as needed.Taking on additional responsibilities as requested by management.At DeepLight AI, our most valuable asset is the expertise of our team.While technical proficiency is crucial to our work, the ability to connect complex data science with actionable business outcomes is what defines success at DeepLight.We seek individuals who are not only top-tier in their respective fields but also effective communicators and persuasive advocates for their skills.As the face of our firm, you will be responsible for establishing trust, clearly articulating the rationale behind your technical decisions, and effectively promoting your expertise.

Role OverviewAs the Director of the Government-Wide Data Cleansing Program, you will spearhead initiatives aimed at enhancing data quality across various government entities. Your leadership will ensure the implementation of effective data cleansing strategies, enterprise data modeling, and dataset publication, thereby promoting the availability of high-quality, trustworthy data. You will also facilitate ongoing monitoring and governance, fostering continuous improvements in data quality.Primary Responsibilities• Develop and direct the overarching data cleansing strategy for the government, ensuring adherence to data quality standards and alignment with governmental priorities.• Create a structured framework for prioritizing essential datasets and orchestrating a phased execution across various entities.• Standardize, automate, and scale the data cleansing lifecycle utilizing cutting-edge tools and AI solutions, while governing reusable processes.• Implement and manage a multi-vendor model for data cleansing, ensuring synchronized execution and performance oversight across entities.• Oversee large-scale initiatives aimed at improving data quality, ensuring compliance with established quality metrics and thresholds.• Guide the development of enterprise data models for government entities, ensuring compliance with overarching data standards and interoperability requirements.• Supervise the creation, standardization, and dissemination of cleansed datasets within the Government Wide data catalog, promoting accessibility and reuse.• Lead the development of data quality dashboards to monitor key performance indicators and track cleansing progress.• Establish and chair governance bodies to ensure timely delivery, facilitate issue resolution, and ensure alignment with stakeholders.• Develop and maintain sustainable data quality and cleansing frameworks for long-term enhancement and upkeep.• Regularly report to senior leadership regarding program advancements, risks, and impact on data maturity.

Role OverviewAs the Data Platform Technology Architect, you will spearhead the architecture, design, and continuous enhancement of the core data platforms for government operations. Your role is pivotal in ensuring that these platforms are scalable, secure, and capable of seamless integration across various government entities. You will facilitate data exchange, support advanced use cases, and ensure compliance with government-wide strategies and policies.Primary Responsibilities• Define and manage the comprehensive architecture of core data platforms, emphasizing scalability, performance, and security.• Provide strategic advice on technology selection, solution architecture, and platform harmonization to ensure effective and sustainable deployments that align with government data strategies and policies.• Lead the architecture and management of a complex ecosystem of data platforms, ensuring interoperability and consistency across multiple vendors and technologies.• Design and oversee a data-sharing platform that enables secure and standardized data flows among entities.• Supervise the implementation and evolution of components for data sharing, provisioning, and performance metrics.• Guide the design and execution of entity-level data solutions, including data ingestion, storage (data lakes and warehouses), catalogues, master data management, integration layers, and analytics capabilities.• Ensure interoperability across government entities through standardized data exchange protocols, APIs, and integration practices.• Manage the lifecycle of platforms, including setup, operations, upgrades, migrations, and the retirement of legacy systems.• Engage stakeholders to align the platform roadmap with strategic objectives and evolving data use cases.• Collaborate with engineering teams and vendors to guarantee high-quality delivery and deployment of platforms.• Drive adoption and realization of platform value through enablement and activation of use cases.Essential Qualifications• Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field.• Over 20 years of experience in technology architecture, particularly in designing and deploying large-scale data platforms in multinational or multi-entity environments, preferably in Europe or North America.• Demonstrable experience in architecting and implementing cloud-based data platforms, data marketplaces, and integration ecosystems.

Key Responsibilities: Collaborate with various business segments within the Personal Banking Group (PBG) to harness analytics capabilities, translating insights into actionable strategies for customer acquisition, cross-selling, up-selling, retention, and customer recovery.Employ advanced statistical and predictive modeling techniques to develop, maintain, and enhance multiple decision-making systems. Design experiments and validate business hypotheses effectively.Assess available and relevant data within the bank for analytics purposes, identifying internal and external data sources, and leveraging new data collection methods such as geo-location and unstructured data from emails, logs, and social media.Innovate and implement effective strategies to tackle business challenges using analytics, clearly communicating results and methodologies.Analyze patterns and variations in data characteristics, including volume and speed, to support predictive analysis initiatives using diverse data types (e.g., images, text, clickstream, or metering data).Ensure continuous tracking and monitoring of the performance of decision systems and statistical models developed by the data science unit.