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data engineer

Deeplight AI

<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.
 
 
 The Data Engineer is responsible for designing, implementing, and optimising data pipelines and infrastructure to support our cutting-edge AI systems. The Data Engineer collaborates closely with our multidisciplinary team to ensure the efficient collection, storage, processing, and analysis of large-scale data, enabling us to unlock valuable insights and drive innovation across various domains.
 
 
 
 Responsibilities of the role:
 
 
 
 <ul>
 <li>
 Design, build, and optimise scalable data solutions, primarily utilising the Lakehouse architecture to unify data warehousing and data lake capabilities. Advise stakeholders on the strategic choice between Data Warehouse, Data Lake, and Lakehouse architectures based on specific business needs, cost, and latency requirements.
 </li>
 <li>
 Design, develop, and maintain scalable and reliable data pipelines to ingest, transform, and load diverse datasets from various sources, including structured and unstructured data, streaming data, and real-time feeds.
 </li>
 <li>
 Implement standards and tooling to ensure ACID properties, schema evolution, and high data quality within the Lakehouse environment. Implement robust data governance frameworks (security, privacy, integrity, compliance, auditing).
 </li>
 <li>
 Continuously optimize data storage, compute resources, and query performance across the data platform to reduce costs and improve latency for both BI and ML workloads, leveraging techniques such as indexing, partitioning, and parallel processing.
 </li>
 <li>
 Develop and maintain CI/CD pipelines to automate the entire machine learning lifecycle, from data validation and model training to deployment and infrastructure provisioning.
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 Deploy, manage, and scale machine learning models into production environments, utilizing MLOps principles for reliable and repeatable operations.
 </li>
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 Establish and manage monitoring systems to track model performance metrics, detect data drift (changes in input data), and model decay (degradation in prediction accuracy).
 </li>
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 Ensure rigorous version control and tracking for all components: code, datasets, and trained model artifacts (using tools like MLflow or similar).
 </li>
 <li>
 Create comprehensive documentation, including technical specifications, data flow diagrams, and operational procedures, to facilitate understanding, collaboration, and knowledge sharing
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Proven practical experience in designing, building, and optimising solutions using Data Lakehouse architectures (e.g., Databricks, Delta Lake).
 </li>
 <li>
 Strong hands-on experience with managing data ingestion, schema enforcement, ACID properties, and utilizing big data technologies/frameworks like Spark and Kafka.
 </li>
 <li>
 Expertise in data modeling, ETL/ELT processes, and data warehousing concepts. Proficiency in SQL and scripting languages (e.g., Python, Scala).
 </li>
 <li>
 Demonstrated practical experience implementing MLOps pipelines for production systems. This includes a solid understanding and implementation experience with MLOps principles: automation, governance, and monitoring of ML models throughout the entire lifecycle.
 </li>
 <li>
 Experience with CI/CD tools, containerization/orchestration technologies (e.g., Docker, Kubernetes), model serving frameworks (e.g., TensorFlow Serving, Sagemaker), and experiment tracking (e.g., MLflow).
 </li>
 <li>
 Experience with production monitoring tools to detect data drift or model decay.
 </li>
 <li>
 Strong hands-on experience with major cloud platforms (e.g., AWS, Azure, GCP) and familiarity with DevOps practices.
 </li>
 <li>
 Excellent analytical, problem-solving, and communication skills, with the ability to translate complex technical concepts into clear and actionable insights.
 </li>
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 Proven ability to work effectively in a fast-paced, collaborative environment, with a passion for innovation and continuous learning
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 
 Benefits &amp; Growth Opportunities:
 
 
 
 <ul>
 <li>
 Competitive salary and performance bonuses
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 <li>
 Comprehensive health insurance
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 Professional development and certification support
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 Opportunity to work on cutting-edge AI projects
 </li>
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 Flexible working arrangements
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 <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.
</div>

Data Engineer

Digital Corner for Network Solutions

AboutThis opportunity is for a leading Energy &amp; Gas giant in the UAE. We are looking for a Data Scientist to apply advanced analytical techniques to vast industrial datasets. You will build predictive models that drive efficiency, safety, and profitability across the organization's operations.Responsibilities<ul><li>Conduct exploratory data analysis (EDA) on large, complex datasets to identify trends and patterns.</li><li>Develop, train, and validate predictive models and machine learning algorithms to solve specific business problems.</li><li>Collaborate with domain experts (e.g., engineers, geologists) to understand data context and feature engineering requirements.</li><li>Apply statistical methods to test hypotheses and quantify uncertainty in model predictions.</li><li>Visualize and communicate findings to stakeholders, translating technical results into actionable business insights.</li><li>Continuously research and experiment with new algorithms and techniques to improve model performance.</li><li>Clean and preprocess data to ensure high-quality inputs for modeling.</li></ul>Requirements<ul><li>Experience: 2&ndash;8 Years .</li><li>Strong background in statistics, mathematics, or a related quantitative field.</li><li>Proficiency in Python or R for data analysis and modeling.</li><li>Experience with a wide range of ML techniques (Regression, Classification, Clustering, Time-series forecasting).</li><li>Familiarity with data visualization libraries (Matplotlib, Seaborn, Plotly).</li><li>Strong problem-solving skills and the ability to work with unstructured data.</li></ul>Bonus<ul><li>Experience with geospatial data analysis.</li></ul>Job Type: Full-timePay: AED10,000.00 - AED15,000.00 per month

Data Scientist

Presight

<div>
 
 Overview
 
 
 
 
 About Presight
 
 
 
 Presight, an ADX-listed public company with Abu Dhabi-based G42 as its majority shareholder, is the region&rsquo;s leading big data analytics company powered by Artificial Intelligence (AI). It combines big data, analytics, and AI expertise to serve every sector, of every scale, to create business and positive societal impact. With its world-class computer vision, AI, and omni-analytics platform as its engine, Presight leverages all-source data to support insight-driven decision-making that shapes policy and creates safer, healthier, happier, and more sustainable societies.
 
 
 
 The Opportunity
 
 
 
 Presight is looking for a qualified and proficient
 
 Data Scientist
 
 to develop and deliver AI-powered capabilities for public safety solutions and products. This role focuses on LLMs, agentic &amp; conversational AI, and retrieval-augmented generation to extract insights, summarize information, and support decision-making in high-stakes operational environments. The candidate will play a pivotal role in shaping next-generation AI workflows, ensuring outputs are accurate, explainable, and aligned with organizational objectives.
 
 
 
 Responsibilities
 
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Innovate, design, build, and deploy autonomous AI agents and LLM-powered solutions that enhance workflow automation, summarization, and decision-support in public safety and operational contexts.
 </li>
 <li>
 Develop agentic systems capable of interacting with APIs, querying internal knowledge sources, and reasoning over structured and unstructured data.
 </li>
 <li>
 Develop AI tools and integrate LLMs with external systems, leveraging frameworks such as MCP to streamline interactions and enable agentic workflows.
 </li>
 <li>
 Collaborate with data scientists, MLOps engineers, and software engineers to design and implement agentic systems and automated workflows.
 </li>
 <li>
 Develop evaluation frameworks to measure model and agent performance, scalability, safety, and impact on operational workflows.
 </li>
 <li>
 Contribute to shared AI infrastructure, including reusable APIs, prompt libraries, model registries, and best-practice guidelines for agent development.
 </li>
 <li>
 Stay aligned with the latest research, open-source advancements, and emerging AI/ML technologies, acting as an evangelist to promote adoption of cutting-edge solutions.
 </li>
 <li>
 Engage with stakeholders and clients by presenting demos, gathering feedback, and collaborating on-site as required to ensure successful delivery.
 </li>
 <li>
 Comply with QHSE (Quality Health Safety and Environment), Business Continuity, Information Security, Privacy, Risk, Compliance Management and Governance of Organizations policies, procedures, plans, and related risk assessments.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 Key Requirements
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in AI, data science, computer science, or related field.
 </li>
 <li>
 Minimum 3 years of professional experience in AI/NLP development
 </li>
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 Hands-on experience in LLMs, prompt engineering, conversational and agentic AI frameworks.
 </li>
 <li>
 Strong programming skills in Python, with experience in PyTorch.
 </li>
 <li>
 Experience with Hugging Face ecosystem, embeddings, vector databases, RAG pipelines, and agentic AI frameworks such as LangFlow, LangGraph, and DIFY.
 </li>
 <li>
 Experience building and integrating knowledge graphs for entity linking, relationship modelling, and structured reasoning.
 </li>
 <li>
 Familiarity with recommender systems and traditional ML algorithms for decision-support applications.
 </li>
 <li>
 Hands-on experience with Docker, API development, cloud platforms (AWS, GCP, or Azure), GPU clusters, and high-performance computing environments.
 </li>
 <li>
 Proficient with Git/version control, and reproducible development practices.
 </li>
 <li>
 Proven track record of deploying AI/LLM solutions for real-world applications.
 </li>
 <li>
 Strong analytical and evaluation skills, with experience in model metrics, error analysis, and bias detection.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience designing and deploying autonomous or agentic AI systems in operational workflows in production environments.
 </li>
 <li>
 Practical experience with graph databases (Neo4j, AWS Neptune, etc.) and graph-based reasoning approaches.
 </li>
 <li>
 Exposure to ethical AI frameworks, compliance, and explainable AI techniques.
 
 
 </li>
 </ul>
 
 What We Look For
 
 
 
 Inquisitive, performance-driven individuals with a bias for action, who can work effectively under ambiguity and rapidly iterate on AI solutions. The ideal candidate will have strong technical skills, the ability to collaborate well with the team, and a passion for building trustworthy AI capabilities that deliver meaningful operational impact.
 
 
 
 What Working At Presight Offers
 
 
 
 
 Culture:
 
 An open, diverse and inclusive environment with a global vision and focus on innovation.
 
 
 
 Career:
 
 Accelerate your career through high-impact projects and access to resources for continuous growth and learning opportunities.
 
 
 
 Rewards:
 
 Competitive remuneration with perks including healthcare, education support, and leave benefits.
</div>

ALTÉRRA

<div>
 
 
 Firm Overview
 
 
 
 
 
 
 ALT&Eacute;RRA is a $30 billion catalytic climate investment fund designed to mobilize capital at scale and accelerate the transition to a climate-resilient economy. Our mission is to activate and expand the global climate finance ecosystem by stimulating innovation, unlocking private capital, and reducing investment barriers in emerging markets and developing economies (EMDEs).
 
 
 
 
 
 With a strong emphasis on actionable, high-impact investments, ALT&Eacute;RRA deploys capital through a combination of fund investments, co-investments, and direct investments, supporting best-in-class managers and projects that align with our climate and financial objectives. Alterra Management Limited, based in ADGM and regulated by the ADGM Financial Services Regulatory Authority, serves as the investment manager for the fund.
 
 
 
 
 
 
 Role Overview:
 
 
 
 The successful candidate will support the strategy and impact team in presentations, other material preparation, analytical and data work. This entry-level role is ideal for recent graduates with strong analytical skills, a willingness to learn, interest for climate issues, and relevant project or extracurricular experience.
 
 
 
 
 
 
 Responsibilities
 
 
 <ul>
 <li>
 Help prepare presentations, initial technical analyses and screenings of investment opportunities from an impact perspective, using quantitative methods and data analytics.
 </li>
 <li>
 Participate in research deep dives and analysis related to specific strategy, sectors or themes.
 </li>
 <li>
 Collect, clean, and analyse datasets related to climate/impact performance, applying statistical and machine learning techniques where appropriate.
 </li>
 </ul>
 
 
 
 
 
 Qualifications &amp; Skills
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in economics, environmental science, data science, sustainable business, finance, or a related field.
 </li>
 <li>
 Extracurricular involvement or project experience in climate impact, sustainability, data analytics, or related areas (e.g., university research projects, student organizations, internships, hackathons).
 </li>
 <li>
 Experience preparing technical reports, dashboards, or presentations (academic or extracurricular).
 </li>
 <li>
 Technical proficiency or familiarity with climate science, environmental policies, and sustainability frameworks is a plus.
 </li>
 <li>
 Experience or coursework in data analytics tools and programming languages (e.g., Python, R, SQL) and data visualization platforms (e.g., Power BI, Tableau) is desirable.
 </li>
 <li>
 Strong analytical and quantitative skills, with the ability to interpret and communicate complex data to both technical and non-technical audiences, both in writing and presentations.
 </li>
 <li>
 Eagerness and ability to learn quickly and adapt, take initiative, and contribute
 </li>
 <li>
 Collaborative team player, able to work effectively in a fast-paced, cross-functional environment.
 </li>
 </ul>
 
 
</div>

Elios Talent

<div>
 
 🌟
 
 Senior Physics Engineer (or Hybrid Data Scientist)
 
 🌟
 
 
 
 
 
 📍
 
 Abu Dhabi (UAE-based)
 
 
 
 💼
 
 Contract Role | In-Country Delivery
 
 
 
 🛢️
 
 Energy &bull; Real-Time Well Data &bull; Physics-Driven Modeling
 
 
 
 
 
 
 💡
 
 Job Information
 
 
 
 We&rsquo;re seeking a
 
 Senior Physics Engineer
 
 &mdash;or a hybrid engineer/data scientist with strong physics-based modeling experience&mdash;to support real-time well data operations in the UAE. The ideal candidate is analytical, detail-oriented, and highly capable of validating and improving models in field conditions.
 
 
 
 
 
 You will serve as a critical link between In-Country operations and U.S.-based engineering teams, ensuring that model outputs are accurate, parameters are properly tuned, and anomalies or data integrity issues are quickly surfaced. Strong technical communication and documentation skills are essential for enabling seamless global collaboration.
 
 
 
 
 
 This role is perfect for someone who blends applied physics knowledge with modern data analysis and who excels in high-impact, real-time operational environments.
 
 
 
 
 
 🧭
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Access and analyze
 
 live well data
 
 from in-country systems
 </li>
 <li>
 Validate
 
 physics-based and hybrid ML model outputs
 
 to ensure alignment with real-world behavior
 </li>
 <li>
 Tune local model parameters to improve predictive accuracy under field-specific conditions
 </li>
 <li>
 Identify anomalies, edge cases, and data quality issues in streaming or near real-time data
 </li>
 <li>
 Produce
 
 high-quality error metrics
 
 to accelerate iteration cycles between UAE and U.S.-based teams
 </li>
 <li>
 Document evaluation methods, findings, and parameter changes in clear, structured formats
 </li>
 <li>
 Collaborate with U.S. engineers and data scientists to refine models and incorporate field insights
 </li>
 </ul>
 
 
 
 
 🎯
 
 Ideal Candidate Profile
 
 
 <ul>
 <li>
 Must be
 
 based in the UAE
 
 (Abu Dhabi highly preferred)
 </li>
 <li>
 Background in
 
 physics, petroleum engineering, mechanical engineering, or applied data science
 
 </li>
 <li>
 Experience with physics-based modeling, simulation, or hybrid ML approaches
 </li>
 <li>
 Strong understanding of real-time or time-series operational data, ideally in the energy sector
 </li>
 <li>
 Ability to evaluate models, tune parameters, and identify data anomalies independently
 </li>
 <li>
 Strong communication skills for cross-border collaboration and clear documentation
 </li>
 <li>
 Detail-oriented, reliable, and able to operate efficiently in dynamic field environments
 </li>
 </ul>
 
 
</div>

Senior Physics Engineer

Ergo lighting trading est.

We are looking for a Lighting sales support; must be an electrical engineer eager to work in lighting industry.Requirements:<ul><li>Bachelor in Electrical Engineer</li><li>Fluent English Speaker</li><li>Familiar with CAD and standard business software</li></ul>Job Description:<ul><li>Coordinate and follow-up on project sales</li><li>Understand and Analyze project specifications, BOQs, product selection, estimations, technical data</li><li>Prepare commercial offers, technical submittals, Commercial &amp; Technical Analysis, etc.</li><li>Conduct communication with lighting suppliers</li><li>Process purchase orders, invoices, payments, etc.</li><li>Coordinate shipments logistics with freight forwarders, suppliers and clients</li><li>Coordinate after sales</li></ul>Job Types: Full-time, PermanentJob Types: Full-time, Permanent

Lighting Sales Support Engineer

Burtplace General Contracting LLC

Job Title: Estimation EngineerLocation: [UAE , AUH]Job Summary: We are seeking a detail-oriented Estimation Engineer to join our team. The ideal candidate will be responsible for preparing accurate cost estimates for projects, analyzing material and labor requirements, and supporting project bidding processes. You will collaborate with project managers, procurement, and design teams to ensure competitive and realistic project costings.Key Responsibilities:<ul><li>Prepare detailed project estimates, including material, labor, and equipment costs.</li><li>Review project drawings, specifications, and scope to develop accurate cost projections.</li><li>Analyze historical data and current market trends to support cost estimation.</li><li>Collaborate with procurement and design teams to optimize project costs.</li><li>Prepare bills of quantities (BOQ) and tender documents.</li><li>Identify cost-saving opportunities and provide recommendations.</li><li>Maintain records of estimates, revisions, and cost databases.</li></ul>Qualifications &amp; Experience:<ul><li>Bachelor&rsquo;s degree in Civil, Mechanical, Electrical Engineering, or related field.</li><li>Proven experience as an Estimation Engineer in [construction projects].</li><li>Strong knowledge of estimation methods, project costing, and industry standards.</li><li>Proficiency in estimation software (e.g., AutoCAD, MS Excel, Primavera, CostX, etc.).</li><li>Strong analytical, organizational, and problem-solving skills.</li><li>Excellent communication and teamwork abilities.</li></ul>Job Type: Full-time

Construction Estimator - Engineer

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