Data Engineer at SFORS | Dubai

Join our innovative team at mexdigital as an AI Data Engineer. In this role, you will be instrumental in shaping our data-driven solutions, leveraging cutting-edge AI technologies to enhance business processes and deliver impactful insights. Collaborate with cross-functional teams to design, implement, and maintain scalable data pipelines and machine learning models that drive our projects forward.

DeepLight AI is a premier consultancy specializing in artificial intelligence and data solutions, renowned for our extensive expertise in deploying intelligent enterprise systems across diverse industries, particularly in financial services and banking. Our team merges profound knowledge in data science, statistical modeling, AI/ML technologies, workflow automation, and systems integration with a pragmatic grasp of intricate business operations.The Data Engineer will play a pivotal role in designing, implementing, and optimizing data pipelines and infrastructure to bolster our innovative AI systems. This role involves close collaboration with our cross-functional team to ensure the effective collection, storage, processing, and analysis of large-scale data, unlocking valuable insights and fostering innovation across various sectors.

Join our dynamic team at ghobashgroup as a Junior Data & AI Engineer, where you will be instrumental in leveraging data-driven solutions to enhance our AI capabilities. This role is tailored for Emirati nationals who are eager to kickstart their careers in the exciting fields of data science and artificial intelligence.

About Fractional AIAt Fractional AI, we specialize in creating tailored generative AI software solutions designed to revolutionize businesses.As C-suite executives strive to bridge the divide between theoretical AI and practical application, we are here to fill this gap with our exceptional engineering talent and bespoke end-to-end AI solutions. Explore our case studies to see our impact.We are excited to expand our operations by establishing a Dubai office to better serve our clients across EMEA and Asia.About the RoleAs a Founding Engineer in our Dubai office, you will be at the forefront of developing and deploying AI applications tailored to our clients' needs. Your role will involve everything from gathering client requirements to implementing innovative AI solutions. You will also play a vital part in shaping the engineering culture at Fractional AI as we grow our team to over 100 engineers.By your second project, you'll have successfully delivered LLM applications across numerous companies and use cases, surpassing the experience of most AI engineers worldwide.

The Managed Port Calls team is seeking a Staff AI Engineer to spearhead AI innovation across the Marcura platform. This position is pivotal in architecting and delivering AI-driven features that significantly enhance operational efficiency, predictive analytics, and informed decision-making for our stakeholders.As a hands-on role, you will be responsible for executing the development of production-grade AI systems, mentoring fellow engineers in AI/ML best practices, and selecting the most suitable technologies and frameworks. Collaborating closely with product, backend, and data teams, you will integrate intelligent solutions throughout the platform, ensuring our AI applications are scalable, reliable, and provide tangible business value.Key responsibilities include:Transforming manual processes into fully automated systems.Implementing partial automation for processes where full automation is not feasible.Enhancing operational efficiency for both the operations team and clients.Minimizing repetitive manual tasks primarily for the operations team.Predicting outcomes based on existing historical data.Forecasting costs using historical information.Developing chatbot-style task automation.

Join sia as a Data & AI Consulting Manager, where you will lead innovative projects that harness the power of data and artificial intelligence to drive transformative solutions for our clients. In this dynamic role, you will collaborate with cross-functional teams to develop strategies and deliver insights that enhance business performance.

Job Title: Data Engineer (PySpark)________________________________________About the RoleWe are in search of a talented Data Engineer with significant expertise in PySpark and the Cloudera Data Platform (CDP) to bolster our data engineering team. In this role, you will be tasked with the design, development, and maintenance of scalable data pipelines that guarantee high data quality and availability across the organization. A robust background in big data ecosystems, cloud-native tools, and advanced data processing techniques is essential.The right candidate will possess hands-on experience in data ingestion, transformation, and optimization within the Cloudera Data Platform, along with a solid history of implementing data engineering best practices. Collaboration with fellow data engineers will be key to creating solutions that yield impactful business insights.ResponsibilitiesDesign, develop, and sustain highly scalable and optimized ETL pipelines utilizing PySpark on the Cloudera Data Platform, ensuring data integrity and precision.Oversee data ingestion processes from diverse sources (e.g., relational databases, APIs, file systems) to the data lake or data warehouse on CDP.Employ PySpark to process, cleanse, and transform extensive datasets into actionable formats that fulfill analytical needs and business objectives.Optimize performance by tuning PySpark code and Cloudera components to enhance resource utilization and minimize ETL runtimes.Establish data quality checks, monitoring, and validation protocols to uphold data accuracy and reliability throughout the pipeline.Automate data workflows utilizing tools such as Apache Oozie, Airflow, or comparable orchestration tools within the Cloudera ecosystem.Monitor pipeline performance, troubleshoot issues, and perform routine maintenance on the Cloudera Data Platform and related data processes.Collaborate closely with other data engineers, analysts, product managers, and other stakeholders to comprehend data requirements and support various data-driven initiatives.Document data engineering processes, code, and pipeline configurations thoroughly.

We are looking for a talented and experienced Senior Data Engineer to join our dynamic Data Engineering team in Dubai. The successful candidate will play a pivotal role in designing, constructing, and enhancing scalable data pipelines, while also facilitating advanced analytics and machine learning applications. This position demands a deep understanding of big data technologies, data processing frameworks, and feature engineering to effectively support machine learning models in a live production setting.Key ResponsibilitiesCollect and assess business and technical requirements for effective data solutions.Conduct Exploratory Data Analysis (EDA) to reveal data patterns and assess data quality.Design, develop, and maintain high-performance, scalable data pipelines.Ingest both structured and unstructured data from various sources.Transform and process extensive datasets using PySpark and Python.Apply feature engineering techniques to enhance machine learning models.Optimize Spark jobs for peak performance and cost efficiency.Ensure the quality, integrity, and security of data across all pipelines.Collaborate closely with Data Scientists, Analytics Teams, and Delivery Leads.Participate in an Agile environment alongside cross-functional teams.Effectively communicate with stakeholders, providing valuable technical insights.Utilize Git for version control and manage CI/CD workflows.Required Skills & ExpertiseProven experience in Python and PySpark.In-depth knowledge of Apache Spark (performance tuning and optimization).Comprehensive understanding of the Hadoop ecosystem.Advanced skills in SQL.Experience in building end-to-end data and ML pipelines.Strong grasp of data modeling and warehousing concepts.Experience with feature engineering for ML applications.Familiarity with Git and version control systems.Exposure to cloud platforms (AWS/Azure/GCP) is advantageous.QualificationsBachelor’s or Master’s degree in Computer Science, Engineering, or a related field.8–10+ years of experience in Data Engineering / Big Data.Experience in the banking or financial services sector is preferred.Soft SkillsExceptional problem-solving and analytical skills.Strong communication and stakeholder management abilities.Capability to work both independently and collaboratively within a team.Adaptability to fast-paced Agile workflows.

Whiteshield seeks a Product Manager to guide its Data and AI Products in Dubai. This position shapes the strategy and delivery of solutions that use data and artificial intelligence to generate actionable insights. The Product Manager works with teams across the company to spot market trends, define what products should do, and manage each product from concept to launch. Key responsibilities Set the vision and lead execution for data and AI products Work with teams from different functions to understand client and market needs Define product requirements and manage the entire product lifecycle Use knowledge of data analytics and AI to help create new offerings Offer insights that influence the product roadmap Help keep Whiteshield's data and AI products aligned with changing client needs Location This role is based in Dubai, United Arab Emirates.

Cygnify is hiring a Product Manager - Data & AI Solutions for its Dubai office. This role centers on building digital products that turn complex datasets into practical tools for the labor and education sectors. The position blends data science, engineering, and policy, requiring close work with cross-functional teams to guide product direction, deliver analytics capabilities, and create measurable results. There is significant responsibility here, with the potential to influence policy and outcomes on a global scale. Product strategy and vision Define and guide the product vision, strategy, and roadmap to match business goals and client needs. Find ways to use data, analytics, and AI to address complex policy and economic challenges. Analytical product development Lead the creation of data-driven features such as dashboards, analytical models, and decision-support tools. Collaborate with data scientists to set up analytical frameworks, models, and data pipelines. Turn complex analytical outputs into clear, intuitive product experiences. Product discovery and problem structuring Break down complex policy and business problems into scalable, data-informed product solutions. Conduct user research, stakeholder interviews, and market analysis to shape product development. Experimentation and data-driven iteration Plan and run experiments, including A/B testing, feature validation, and model assessment. Apply data analytics to test assumptions and support ongoing improvement. Requirements and delivery Translate business and analytical needs into clear specifications for engineering, data science, and design teams. Oversee the full product lifecycle from concept through launch and ongoing iteration.

Join our innovative technology team as the Vice President of Data Platforms. We are looking for an accomplished leader to guide our AI and machine learning strategies from our Dubai office. In this pivotal role, you will oversee the development and implementation of cutting-edge data platforms that drive our organization forward in the digital landscape.Your Responsibilities:Formulate and execute a comprehensive AI/ML strategy aligned with our business goals.Manage the design, development, and upkeep of scalable data platforms and AI/ML infrastructure.Lead and nurture a talented team of data scientists, engineers, and analysts, encouraging a culture of creativity and excellence.Work collaboratively with cross-functional teams to identify and deploy AI/ML solutions that enhance business outcomes.Establish and uphold best practices for data governance, security, and compliance across all AI/ML projects.Keep informed of the latest trends in AI/ML and data technologies, providing strategic recommendations for adoption.Build and maintain relationships with key technology partners and vendors in the AI/ML industry.Communicate AI/ML strategies, progress, and outcomes to executive leadership and stakeholders.Facilitate the integration of AI/ML capabilities into current products and services.Optimize resource allocation and manage budgets for AI/ML initiatives.

Envision Employment Solutions is actively seeking a Lead Data Scientist for our esteemed partner, a prominent player in the IT Services and IT Consulting sector.Job Overview:We are in search of a forward-thinking AI leader who will spearhead our enterprise-scale AI initiatives, including strategy formulation, architecture design, and successful project execution. This pivotal role necessitates profound knowledge of large language models (LLMs), AI governance, and robust machine learning platforms, along with exceptional leadership and communication skills that resonate with executive stakeholders.The ideal candidate will possess a wealth of experience in constructing and scaling enterprise AI ecosystems while managing interdisciplinary teams in multifaceted environments.Key Responsibilities:Strategic AI LeadershipEstablish and execute AI roadmaps that are in harmony with corporate objectives.Oversee the comprehensive model lifecycle, from research and experimentation through to production deployment.Ensure that AI projects deliver quantifiable ROI and tangible business benefits.LLM & NLP Architecture (Enterprise Level)Architect LLM ecosystems, including RAG pipelines, orchestration layers, and fine-tuning methodologies.Guide domain-specific model fine-tuning and pretraining utilizing proprietary datasets.Integrate state-of-the-art platforms such as Azure OpenAI, AWS Bedrock, Anthropic Claude, and Google Vertex AI.Define governance, compliance, and security frameworks for LLM implementations.Establish evaluation criteria for hallucination rates, factual accuracy, bias, and toxicity.Infrastructure & GovernanceDevelop and manage data governance policies and feature store strategies.Lead frameworks for model observability, monitoring, and drift management.Collaborate with DevOps and Security teams to guarantee scalability, resilience, and compliance.Team & Stakeholder LeadershipAssemble and mentor multidisciplinary AI teams, including Data Scientists, ML Engineers, and Data Engineers.Provide mentorship to senior scientists and establish research best practices.Engage directly with executive leadership and non-technical stakeholders.Assess AI vendors and explore technology partnerships.Qualifications:Master’s or PhD in AI, Machine Learning, Computer Engineering, Applied Mathematics, or a related field.A minimum of 7 years of overall professional experience.At least 2 years in AI/ML leadership positions.Demonstrated capability to build and scale enterprise-level AI/LLM platforms.Leadership Competencies:Innovative mindset that propels enterprise-wide transformation.Exceptional executive communication and influence skills.Focused on delivering measurable ROI, scalability, and ethical AI practices.

Join gsstech-group as a talented Data Engineer specializing in PySpark and the Cloudera Data Platform (CDP). In this pivotal role, you will be responsible for designing, developing, and maintaining high-quality data pipelines that are both scalable and efficient. Your contributions will ensure optimal data performance and availability across our organization.This position requires extensive hands-on experience in big data technologies, cloud-native environments, and advanced data processing frameworks. You will collaborate with diverse teams to create reliable data solutions that facilitate actionable business insights.Key Responsibilities1. Data Pipeline DevelopmentCraft and sustain scalable ETL/ELT data pipelines utilizing PySpark on CDP.Guarantee data integrity, reliability, and performance optimization.2. Data IngestionBuild ingestion frameworks to gather data from various sources including relational databases, APIs, streaming platforms, and file systems.Load both structured and unstructured data into Data Lake and Data Warehouse environments.3. Data Transformation & ProcessingProcess, cleanse, and transform extensive datasets using PySpark.Create reusable data processing components.4. Performance OptimizationOptimize Spark jobs and Cloudera components for peak performance.Enhance memory, partitioning, and execution strategies.Minimize ETL runtime and elevate cluster efficiency.5. Data Quality & ValidationEstablish data validation checks and monitoring systems.Maintain comprehensive data quality and governance standards.6. Automation & OrchestrationAutomate workflows using Apache Oozie, Apache Airflow, or similar orchestration tools.Support CI/CD integration for data pipelines.7. Monitoring & SupportOversee pipeline health and troubleshoot any issues that arise.Provide ongoing production support and drive continuous improvement initiatives.

Join gsstech-group as a Data Engineer specializing in PySpark and Data Modeling. In this critical role, you will leverage your expertise to design, construct, and maintain robust data pipelines that facilitate data analysis and reporting.As a Data Engineer, you will collaborate closely with data scientists and analysts to ensure that our data architecture supports the needs of the business. Your work will directly contribute to the optimization of our data management processes and the strategic use of data across the organization.

Role Overview Delivery Hero is hiring a Staff Data Scientist focused on Artificial Intelligence (AI) and Machine Learning (ML) in Dubai. This senior position plays a key role in advancing how the company uses data to make decisions and improve services. What You Will Do Work with teams across the business to design and build advanced algorithms and models. Apply AI and ML techniques to solve real problems and improve customer experiences. Help guide the direction of data science projects that influence the future of Delivery Hero’s offerings. Location This role is based in Dubai.

Join fuseenergy, an innovative renewable energy startup dedicated to rapidly delivering a terawatt of renewable energy. We are leveraging first-principles thinking along with advanced technology to create a significantly improved energy system. With $170M raised from prominent investors, including Multicoin, Balderton, Lakestar, Accel, Creandum, Lowercarbon, Ribbit, Box Group, and notable angels like Nico Rosberg, co-founder of Solana, we are on a transformative journey.Our vision includes developing a fully integrated energy company that encompasses solar, wind, and hydrogen projects, real-time power trading, and distributed energy installations. By selling directly to consumers, we minimize costs and pass those savings on to our customers.We are also pioneering the Energy Network, a decentralized platform of smart devices that rewards users in Energy Dollars for electrifying their homes, shifting usage to off-peak times, and contributing to grid stability. This network is crucial for enhancing grid resilience, especially as we scale AI data centers and other energy-intensive sectors.As we build our cutting-edge AI team, we are seeking an Applied AI Engineer. This role is perfect for someone with the backend engineering skills who has a passion for applied AI and its potential to elevate the energy experience for our customers and streamline our operations. You'll engage in a range of exciting projects, such as developing consumer-centric features like the Energy Co-Pilot and the Speedy Onboarding process, utilizing tools like VLM/LLM. Your collaboration across various teams will be essential to create AI solutions that enhance productivity and optimize workflows within fuseenergy.

Join our dynamic team at gsstech-group as a Senior Data Engineer. In this pivotal role, you will design, build, and enhance scalable data pipelines that empower advanced analytics and machine learning initiatives.Collaborating closely with Data Scientists, Analytics Delivery Leads, and interdisciplinary teams, you will transform raw data into impactful insights within a fast-paced Agile environment.Key ResponsibilitiesPartner with stakeholders to collect and evaluate data requirements.Conduct Exploratory Data Analysis (EDA) to discern data patterns and quality.Architect and implement robust, scalable, and high-performance data pipelines.Ingest, process, and convert extensive structured and unstructured datasets.Apply feature engineering techniques that bolster machine learning models.Enhance Spark jobs for optimal performance, scalability, and cost-effectiveness.Maintain data quality, integrity, and security across all pipelines.Work collaboratively with Data Scientists and Analytics teams to deploy ML pipelines.Engage in Agile ceremonies and contribute to ongoing improvements.Effectively communicate technical solutions to both technical and non-technical stakeholders.Required Skills & QualificationsBachelor’s or Master’s degree in Computer Science, Engineering, or a related discipline.8–10 years of experience in Data Engineering and Big Data ecosystems.Proficient programming skills in Python.Practical experience with PySpark / Apache Spark, including performance optimization.Strong knowledge of the Hadoop ecosystem.Advanced skills in SQL.Experience with data pipeline development and ETL frameworks.Familiarity with Machine Learning pipelines and feature engineering.Knowledge of version control systems (Git).Excellent problem-solving and analytical abilities.Good to HaveExperience with cloud platforms (AWS / Azure / GCP).Understanding of data warehousing solutions.Familiarity with workflow orchestration tools (e.g., Airflow).Experience in the banking or financial services sector.Key CompetenciesStrong collaboration and communication abilities.Capability to thrive in a fast-paced Agile setting.Detail-oriented with an ownership mindset.Proficient in stakeholder management and coordination.

Role overview Based in Dubai, the Forward Deployed Engineer at noda-ai works directly with international clients across the CENTCOM Area of Responsibility (AOR). The position involves hands-on engineering in the field, supporting clients to address operational needs and deliver practical technical solutions. What you will do Implement and support noda-ai solutions on site for international clients Address operational challenges as they develop, adjusting to changing requirements Apply engineering knowledge to solve problems in a client-facing environment Who thrives in this role Engineers who take initiative and adapt easily to new situations People who are comfortable working directly with clients and supporting ongoing operations Those who perform well when priorities shift and new challenges appear unexpectedly Location This position is based in Dubai and focuses on supporting projects within the CENTCOM AOR.

Join our dynamic team at dev2 as a Senior Java Engineer specializing in Big Data. In this role, you will leverage your expertise in Java and big data technologies to design, develop, and maintain scalable data solutions. You will collaborate with cross-functional teams to deliver high-quality products that meet our clients' needs.