Manager of Data & Platform Engineering

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.

Job Title: AWS Lakehouse Platform EngineerLocation: UAE – Abu Dhabi or DubaiEngagement: Full-time (On-site)Contract Duration: 3 to 6 months with potential extensionsStart Date: February 2026Join Riverflex as we collaborate with a prestigious financial institution in the UAE to develop a groundbreaking AWS data platform through a strategic Proof of Concept. We are on the lookout for a dedicated Platform Engineer who will take ownership of the PoC from inception to completion, crafting the reference architecture and establishing the necessary standards and guidelines for future data platform development.This role transcends data engineering; it focuses on platform ownership, architectural governance, and ensuring long-term operability. As the go-to authority on data platforms, you will work closely with the partner's Data Lead while being integrated into the on-site platform engineering team to ensure a robust, scalable foundation that meets enterprise-grade analytics and AI future use cases.

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.

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.

Overall ObjectivesThe Principal Lead for Data Platforms Operations is pivotal in ensuring the consistent availability, reliability, and optimal performance of enterprise data platforms. This role encompasses managing daily production operations, facilitating regular service reviews with various business lines, and overseeing incident and problem management initiatives. The ideal candidate will serve as a vital link between technical teams and business stakeholders, driving operational excellence and fostering continuous improvement.Role-Specific Responsibilities- Guarantee high availability and performance of data platforms across both on-premise and cloud environments.- Conduct regular service review meetings with business lines to address incidents, challenges, and service performance metrics.- Lead incident and problem management processes, including root cause analysis and tracking of resolutions.- Collaborate with infrastructure, Data Platforms, and Data Engineering teams to troubleshoot operational issues.- Implement and uphold operational best practices, focusing on change management and release governance.- Assist with audit and compliance requirements related to production operations.- Champion continuous improvement initiatives to enhance platform stability and service quality.- Provide leadership and mentorship to members of the production support team.General Functional Responsibilities- Promote ongoing enhancements in production process frameworks.- Foster strong engagement with the wider bank’s service management teams to achieve operational and process improvement objectives.

Role overview deeplight is seeking a Senior Azure Platform Engineer to join the team in Abu Dhabi. This role centers on designing, implementing, and maintaining Azure cloud solutions that drive ongoing projects and daily operations. Collaboration is key, as the engineer will work closely with teams across the company to integrate cloud services and boost system performance. What you will do Design and build infrastructure and services using Microsoft Azure Maintain and improve existing cloud environments Collaborate with different groups to ensure seamless integration of cloud solutions Monitor system performance and suggest enhancements Mentor junior engineers and share technical expertise Take part in planning the company’s cloud strategy Requirements Extensive experience with Azure infrastructure and cloud architecture Strong grasp of cloud security principles Knowledge of best practices for deploying and managing cloud solutions Ability to mentor and support junior team members Location This position is based in Abu Dhabi, United Arab Emirates.

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.

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 automation and AI technologies. We are on the lookout for a Data Engineer – Automation & AI who possesses robust experience in Generative AI and agent-based methodologies to lead this initiative from inception to completion. The role entails leveraging AI-driven techniques for the design, migration, and development of AWS-based data pipelines.This position is primarily focused on revolutionizing data engineering practices with AI integration, rather than just pipeline development. You will serve as the internal authority on AI applications in daily data engineering operations, collaborating closely with the partner’s Data Lead and becoming an integral part of the on-site engineering team. A crucial aspect of this role involves translating legacy SQL scripts and stored procedures into contemporary AWS Glue pipelines while defining scalable AI patterns, tools, and guardrails that extend beyond the scope of the Proof of Concept.

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 Etihad Airways as the Manager of HR Data, Reporting & Analytics, where you will lead the charge in transforming data into actionable insights that drive strategic HR initiatives. This pivotal role involves overseeing the collection, analysis, and reporting of HR metrics, ensuring alignment with our organizational goals. You will collaborate with various departments to enhance workforce planning, optimize talent management, and improve overall employee engagement.

Join Etihad Airways as a Data Analytics Delivery Manager, where you will lead our analytics initiatives, ensuring data-driven decision-making across the organization. You will oversee the delivery of analytics projects, collaborate with cross-functional teams, and drive insights that enhance operational efficiency and customer experience. This role requires a strategic thinker with a passion for data and a proven track record in analytics.

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.

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.

deeplight is seeking a Senior AWS Platform Engineer based in Abu Dhabi. This role centers on designing, building, and refining AWS cloud solutions to support the company’s growth and technical goals. Role overview The Senior AWS Platform Engineer works closely with teams across the business to maintain a secure, scalable, and efficient cloud infrastructure. The position involves architecting cloud environments, developing automation scripts, and keeping a close watch on system performance. What you will do Design and implement AWS cloud architectures tailored to business needs Create and maintain automation scripts for deployment and operations Monitor and optimize system performance to ensure reliability and security Collaborate with cross-functional teams on cloud initiatives Who we’re looking for Proven experience with AWS cloud technologies Strong background in cloud architecture and automation Ability to solve complex technical challenges Comfort working with multiple teams to deliver high-quality cloud solutions

Job Summary:The Engineering Manager will play a pivotal role in collaborating with the Project Manager and leading discipline engineers to oversee engineering activities and manage project interfaces effectively. This key position entails supervising engineering subcontractors and ensuring the seamless execution of all engineering phases from inception to completion. The successful candidate will be responsible for delivering exceptional engineering outputs on time and within budget, while upholding HSSE standards and achieving high performance targets in quality, scheduling, and cost efficiency.The Engineering Manager will conduct client meetings and will be in charge of planning, organizing, and managing engineering studies to facilitate the smooth delivery of engineering tasks throughout the project lifecycle. This includes conducting constructability reviews and managing as-built documentation.Additionally, this role supports the Project Manager in stakeholder interface management throughout the project's duration, offering technical guidance and reviewing engineering deliverables produced by consultants to ensure they meet client specifications, contractual obligations, and industry standards.

Role SummaryAs the Chief Specialist in Data Governance, you will spearhead the creation and implementation of comprehensive data governance frameworks, policies, and standards across the government sector. Your primary mission will be to ensure adherence to regulatory requirements, drive the establishment of performance management KPIs, and facilitate seamless data exchange among various entities.Key Responsibilities• Lead the design and ongoing refinement of government-wide data governance frameworks, encompassing policies and standards.• Set, assess, and ensure compliance with data governance policies and standards through systematic monitoring, audits, and performance evaluation methods.• Oversee the development, implementation, and management of data performance indices to improve data quality, sharing, and management skills across agencies.• Direct the entire KPI measurement cycle, covering data collection, validation, scoring, and quality assurance.• Govern the comprehensive data information model, ensuring the integrity of enterprise data architecture and essential data domains.• Manage the central data catalogue, metadata, and reference data, guaranteeing clarity in ownership and resolving inter-agency data conflicts.• Foster a culture of collaborative data sharing by engaging with government entities and promoting data sharing platforms.• Organize and operationalize governance bodies (e.g., Data Committees, Working Groups) to ensure effective oversight and alignment.• Provide strategic guidance on data-related risks and integrate these considerations into enterprise risk management practices.• Collaborate with senior stakeholders to align governance objectives with strategic and data transformation initiatives.• Drive continuous improvements in the governance team's practices and performance.

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 us at onhires as the Head of Trading Platform for our innovative cryptocurrency exchange based in Abu Dhabi. In this pivotal role, you will lead the development and management of our trading platform, ensuring it meets the needs of our users while adhering to the highest standards of security and performance.Your responsibilities will include overseeing software development, implementing trading strategies, and collaborating with cross-functional teams to optimize platform functionality. You will be instrumental in driving the growth of our exchange and enhancing the user experience.

Join Alpha Data as a Sales Manager and become a key player in managing our senior accounts in Abu Dhabi. We seek a dynamic and committed professional with outstanding sales, networking, and communication skills. In this role, you will build strong relationships with key contacts and decision-makers in your assigned accounts. Your technical expertise will be invaluable in assisting customers with solution design and overseeing project implementation in collaboration with our internal teams.Minimum 10-15 years of experience in selling Telephony, Networking, and Security products.Preferably aged above 40 years.Direct experience with specialized accounts such as Military, Police, and MOI.Proven relationships with vendors including Cisco, Avaya, HP, and Juniper.Strong project management and operational capabilities.Solid understanding of sales terminology.Fluent in Arabic and English with effective communication skills.Excellent interpersonal and presentation skills.Ability to reflect the company’s roles and responsibilities.Comprehensive understanding of technologies such as TDM, IP, SIP, AURA, MPLS, Routing, Switching, Call Centre, and IVR.Thorough knowledge of network integrations and multi-vendor product integrations across data and voice.Full understanding of Avaya products for voice and data communications.Capability to utilize the AVAYA configurator pricing tool effectively.

JOB PURPOSE:Support static data maintenance as part of a centralized team serving multiple regions, both locally and internationally.Contribute to a dynamic department tasked with maintaining and updating reference data within systems such as Murex, Bloomberg, and Intellect/T24, among others. This role is crucial in facilitating booking, settlement, and straight-through processing (STP) operations, while ensuring data accuracy, consistency, and integrity across all banking systems that require full or partial maintenance by the Reference Data Group (RDG).KEY ACCOUNTABILITIES:Policies, Systems, Processes & ProceduresAdhere to all relevant departmental policies and standard operating procedures to ensure work is executed in a controlled and consistent manner.Uphold the organization’s values and ethics consistently to foster a value-driven culture within the bank.Continuous ImprovementParticipate in identifying opportunities for continuous improvement and the sustainability of systems and processes, considering global standards and productivity enhancements.ReportingAssist in preparing timely and accurate reports to fulfill departmental requirements and maintain quality standards.