business analyst (erp / operations / bi) - manufacturing, marine, finance, construction background

data scientist

business analyst – data & analytics Jobs in Abu Dhabi

business analyst – data & analytics

business development manager Jobs in Abu Dhabi

business development manager

financial analyst

business analyst (erp / operations / bi) - manufacturing, marine, finance, construction background Jobs in Abu Dhabi

business intelligence analyst

Damen

<div>
 We offer you an Ocean of Possibilities. Join our family.
 <br/>
 <br/>
 Position Title: Business Analyst
 <br/>
 <br/>
 Department: Data &amp; Analytics/ Shared Services/ Financial Group Control
 <br/>
 <br/>
 Location: Damen Shared Services, Abu Dhabi
 <br/>
 <br/>
 Reports To: Manager Data Analytics
 <br/>
 <br/>
 Employment Type: Full-Time
 <br/>
 <br/>
 <strong>
  Job Purpose
  <br/>
  <br/>
 </strong>
 As a
 <strong>
  Business Analyst
 </strong>
 at Damen, you play a key role in understanding business needs and translating them into actionable data and reporting solutions. You act as a bridge between business stakeholders and data/IT teams, ensuring that requirements are clearly defined, challenged where needed, and converted into meaningful dashboards, KPIs, and insights that support decision-making.
 <br/>
 <br/>
 This role requires strong business understanding, stakeholder engagement, excellent communication skills and the ability to translate operational needs into structured BI solutions, with a focus on driving data-driven decision-making across the organization.
 <br/>
 <br/>
 <strong>
  About The Organization
  <br/>
  <br/>
 </strong>
 You will join an international organization where data and analytics are increasingly central to decision-making. The organization is actively professionalizing its data and BI landscape, with teams operating across multiple international locations.
 <br/>
 <br/>
 A central data and analytics team collaborates with specialized teams for data engineering, data platform management, and dashboard development. Key focus areas include strengthening data governance, standardizing reports, and KPI definitions, and developing organization-wide dashboards.
 <br/>
 <br/>
 Over the coming years, the data and BI domain will continue to expand, with the objective of embedding data-driven working practices across the organization.
 <br/>
 <br/>
 <strong>
  Key Responsibilities
  <br/>
  <br/>
 </strong>
 Business Understanding &amp; Stakeholder Engagement:
 <br/>
 <br/>
 <ul>
  <li>
   Develop strong understanding of business operations and processes
  </li>
  <li>
   Act as trusted advisor to stakeholders (Finance, Operations, Projects)
  </li>
  <li>
   Proactively challenge business requirements and assumptions to ensure clarity and feasibility
  </li>
  <li>
   Familiar with the agile way of working
  </li>
  <li>
   Facilitate workshops to define KPIs and reporting needs
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Requirements Translation &amp; Solution Design
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Translate business needs into functional requirements and user stories
  </li>
  <li>
   Align business expectations with data models, dashboards, and reporting solutions
  </li>
  <li>
   Act as the bridge between business and technical/data teams
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  BI &amp; Reporting
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Support development of Power BI dashboards and reporting solutions
  </li>
  <li>
   Define and standardize KPIs and reporting frameworks
  </li>
  <li>
   Ensure outputs are business-relevant, actionable, and aligned with decision-making needs
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Data Governance &amp; KPI Standardization
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Drive consistency in KPI definitions and reporting structures
  </li>
  <li>
   Support data governance initiatives and best practices
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Stakeholder Enablement
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Support stakeholders in interpreting dashboards and insights
  </li>
  <li>
   Provide guidance and training on data-driven decision-making
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Key Accountabilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Clear translation of business needs into (BI) solutions
  </li>
  <li>
   Adoption of standardized KPI frameworks
  </li>
  <li>
   Delivery of business-relevant dashboards and insights
  </li>
  <li>
   Strong alignment between business stakeholders and data/IT teams
  </li>
  <li>
   Improved data-driven decision-making across the organization
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 Education:
 <br/>
 <br/>
 <ul>
  <li>
   Bachelor&rsquo;s Degree in Business Administration, Data Analytics, Information Systems, Finance, Engineering, Statistics, Computer Science, or related field
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Experience
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   5&ndash;8 years in Business Analysis or BI/reporting roles
  </li>
  <li>
   Strong stakeholder management and requirement gathering experience
  </li>
  <li>
   Proven experience translating business needs into data and BI solutions
  </li>
  <li>
   Mandatory experience in a project-based, engineering, manufacturing, or industrial environment
  </li>
  <li>
   Exposure to finance, business control, or operations domains is required
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Business Knowledge
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Strong understanding of project-based environments and operations
  </li>
  <li>
   Experience working with finance, business control, or operational teams
  </li>
  <li>
   Ability to connect business processes with data and reporting solutions
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Technical Skills
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Power BI (incl. Star Schema or similar relations)
  </li>
  <li>
   ERP systems (SAP, IFS, Dynamics)
  </li>
  <li>
   Understanding of data modelling concepts
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Soft Skills
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Strong communication and stakeholder engagement
  </li>
  <li>
   Ability to challenge requirements constructively
  </li>
  <li>
   Ability to translate between business and technical teams
  </li>
  <li>
   Proactive, structured, and solution-oriented mindset
  </li>
  <li>
   Professional proficiency in English, both written and spoken.
  </li>
 </ul>
</div>


Business Analyst – Data & Analytics

ADNOC Group

<div>
 <strong>
  <em>
   JOB PURPOSE:
   <br/>
   <br/>
  </em>
 </strong>
 Develop and support implementation of strategies &amp; plans for Digital Oilfields activities in line with Company&rsquo;s objectives and priorities, to enhance oil recovery, achieve operational excellence and promote safer operations. Develop and maintain the DOF Strategy and benchmarks against ADNOC Group of Companies. Design, implement and maintain ADNOC&rsquo;s Offshore the technical artificial intelligence strategy and data analytics framework in order to model complex ADNOC Offshore problems and finding opportunities by solving business related issues. Work with real-time data and perform big data mining while realizing the insights and identifying opportunities through the use of algorithms, statistical models and visualization techniques
 <br/>
 <br/>
 <em>
  <strong>
   KEY ACCOUNTABILITIES:
   <br/>
   <br/>
  </strong>
 </em>
 Job Specific Accountabilities
 <br/>
 <br/>
 Artificial Intelligence
 <br/>
 <br/>
 <ul>
  <li>
   Develop and maintain ADNOC&rsquo;s Offshore artificial intelligence strategy for the core business and technical domains related to exploration, development and production
  </li>
  <li>
   Develop and maintain ADNOC&rsquo;s offshore artificial intelligence guidelines document to provide general guidance and state the minimum requirements for technical departments and projects.
  </li>
  <li>
   Work closely with discipline engineers and subject matter expertise and others in order to produce systems that utilize artificial intelligence and capable of adapting or changing based on adding data.
  </li>
  <li>
   Conduct brain storming sessions and technical workshops to identify opportunities to be assessed and prioritized, which can be solved or improved by implementing artificial intelligence tools.
  </li>
  <li>
   Conduct regular market surveys and be aware of different technological announcements (advancements) related to artificial intelligence and data science. Compare the top ranked technologies by Garner&rsquo;s and others and evaluate the technology functionality related to oil &amp; gas industry.
  </li>
  <li>
   Develop scalable tools leveraging deep learning models to solve business problems in areas such as voice recognition, natural language processing and time series predictions.
  </li>
  <li>
   Suggest, collect and generate requirements. Create an effective roadmap towards the deployment of a production level artificial intelligence application.
   <br/>
   <br/>
  </li>
 </ul>
 Data Science
 <br/>
 <br/>
 <ul>
  <li>
   A data scientist capable to model complex problems while realizing ADNOC&rsquo;s offshore insights and identifying opportunities through the use of algorithms, statistical models, data mining and visualization techniques.
  </li>
  <li>
   Recommend ongoing improvements to methods and algorithms that lead to findings, including new information. Provide business metrics for the overall project to reflect improvements by periodic monitoring over multiple iterations.
  </li>
  <li>
   Conduct workshops and session to help the technical departments understand the principles and math behind the process to drive organizational buy-in and to build multi discipline teams that are capable to define, model and solve problems related to their domains.
  </li>
  <li>
   Design and launch innovative and complex analytic models and lead the development of big data capabilities and utilization as well as the coordination of cross-functional analytic initiatives.
  </li>
  <li>
   Work with different data types (sensors data, maintenance logs, datasheets, images, etc) to build, validate and maintain predictive models
  </li>
  <li>
   Educate the organization both from IT and the business perspectives on new approaches, such as testing hypotheses and statistical validation of results.
  </li>
  <li>
   Conduct scoping session, workshops and liaise with technical departments to identify matters to be analyzed using appropriate data and appropriate analysis tools.
  </li>
  <li>
   Provide on-going tracking and monitoring of performance of decision support systems and provide algorithmic statistical models as a core.
  </li>
  <li>
   Conduct potential POCs, share the finding internally and identify opportunities to deploy pilot projects
  </li>
  <li>
   Design and develop a scalable data analytics platform and solutions. Assess, benchmark and select data analytics technologies to be added to the big data platforms
  </li>
  <li>
   Provide guidance and mentor developers regarding data analytics. Liaise with ADNOC to build and mentor a new team of Data Scientists
   <br/>
   <br/>
  </li>
 </ul>
 Data Preparation
 <br/>
 <br/>
 <ul>
  <li>
   Identify what data is available and relevant, including internal and external data sources, leveraging and automating new data collection processes
  </li>
  <li>
   Support in the application of patterns and variations in the volume, speed, variety and other characteristics of data supporting the data analytics initiative
  </li>
  <li>
   Capture structured and unstructured data (e.g., images, voice, text, or metering data) required to build models related to oil and gas business.
   <br/>
   <br/>
  </li>
 </ul>
 General
 <br/>
 <br/>
 <ul>
  <li>
   Provide input for preparation of the Team / Department budgets and assist in the implementation of the approved Budget and work plans to deliver team objectives.
  </li>
  <li>
   Investigate and highlight any significant variances to support effective performance and cost control
  </li>
  <li>
   Contribute to the achievement of the approved Performance Objectives for the Team / Department in line with the Company Performance framework.
  </li>
  <li>
   Design and implement new tools and techniques to improve the quality and efficiency of operational processes.
  </li>
  <li>
   Identify improvements in internal processes against best practices in pursuit of greater efficiency in line with ISO standards in order to define intelligent solutions for issues confronting the function.
   <br/>
   <br/>
  </li>
 </ul>
 Generic Accountabilities
 <br/>
 <br/>
 Supervision
 <br/>
 <br/>
 <ul>
  <li>
   Plan, supervise and coordinate all activities in the assigned area to meet functional objectives.
  </li>
  <li>
   Train and develop the assigned staff on relevant skills to enable them to become proficient on the job and deliver the respective section objectives.
   <br/>
   <br/>
  </li>
 </ul>
 Budgets
 <br/>
 <br/>
 <ul>
  <li>
   Provide input for preparation of the Section / Department budgets and assist in the implementation of the approved Budget and work plans to deliver Section objectives.
  </li>
  <li>
   Investigate and highlight any significant variances to support effective performance and cost control
   <br/>
   <br/>
  </li>
 </ul>
 Policies, Systems, Processes &amp; Procedures
 <br/>
 <br/>
 <ul>
  <li>
   Implement approved Section / Department policies, processes, systems, standards and procedures in order to support execution of the Section&rsquo;s / Department work programs in line with Company and International standards.
   <br/>
   <br/>
  </li>
 </ul>
 Performance Management
 <br/>
 <br/>
 <ul>
  <li>
   Contribute to the achievement of the approved Performance Objectives for the Section / Department in line with the Company Performance framework.
   <br/>
   <br/>
  </li>
 </ul>
 Innovation and Continuous Improvement
 <br/>
 <br/>
 <ul>
  <li>
   Design and implement new tools and techniques to improve the quality and efficiency of operational processes.
  </li>
  <li>
   Identify improvements in internal processes against best practices in pursuit of greater efficiency in line with ISO standards in order to define intelligent solutions for issues confronting the function.
   <br/>
   <br/>
  </li>
 </ul>
 Health, Safety, Environment (HSE) and Sustainability
 <br/>
 <br/>
 <ul>
  <li>
   Comply with relevant HSE policies, procedures &amp; controls and applicable legislation and sustainability guidelines in line with international standards, best practices and ADNOC Code of Practices.
   <br/>
   <br/>
  </li>
 </ul>
 Reports
 <br/>
 <br/>
 <ul>
  <li>
   Provide inputs to prepare Section MIS and progress reports for Company Management.
   <br/>
   <br/>
  </li>
 </ul>
 <em>
  <strong>
   COMMUNICATIONS &amp; WORKING RELATIONSHIPS:
   <br/>
   <br/>
  </strong>
 </em>
 Internal
 <br/>
 <br/>
 <ul>
  <li>
   Interactive working relationships with Vice Presidents, Managers, Team Leaders, and various technical disciplines senior subject matter experts at stakeholders divisions in relation to identifying Artificial Intelligent(AI) solutions requirements acquisitions strategies.
  </li>
  <li>
   Frequent communications with Procurement Divisions for solutions acquisition &amp; MSU contracts.
  </li>
  <li>
   Regular contacts with various other divisions&rsquo; personnel to discuss/exchange information and advises on relevant AI technologies/solutions including Assets, Drilling, Production, Corporate Planning, etc.
  </li>
  <li>
   Daily interactions with other Specialists.
  </li>
  <li>
   Regular contact with IT representatives.
  </li>
  <li>
   Occasional contact with counterparts in ADNOC and other Group Companies for exchange of information/knowledge, shared projects and project related experience.
  </li>
  <li>
   Regular contact with ADNOC HQ Operations Excellence, R&amp;D and Panorama Unit.
   <br/>
   <br/>
  </li>
 </ul>
 External
 <br/>
 <br/>
 <ul>
  <li>
   Frequent contact with services providers, consultants, vendors etc.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  <em>
   QUALIFICATIONS, EXPERIENCE, KNOWLEDGE &amp; SKILLS:
   <br/>
   <br/>
  </em>
 </strong>
 Minimum Qualification
 <br/>
 <br/>
 <ul>
  <li>
   Bachelor&rsquo;s Degree in Engineering, Artificial Intelligence, Robotics, Petroleum or equivalent discipline
  </li>
  <li>
   Understanding of natural language processing (NPL), machine learning (ML) and artificial neural network (ANN)
  </li>
  <li>
   Strong experience with machine learning APIs and computational packages (TensorFlow, Theano, PyTorch, Keras, Scikit-Learn, NumPy, SciPy, Pandas, statsmodels).
  </li>
  <li>
   Knowledge of R, SQL and Python; familiarity with Scala, Java, C or C++, version control and Matlab is an asset.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Minimum Experience &amp; Knowledge &amp; Skills
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Minimum 10 years of experience in large-scale Data Science, Data Analytics and software development within the Oil &amp; Gas industry
  </li>
  <li>
   Experience using and understanding business intelligence tools (e.g. Spotfire, Tableau).
  </li>
  <li>
   Experience with data mining and visualization tools.
  </li>
  <li>
   Experience with data preparation (pre-processing, feature engineering and feature selection), model training, application classification, regression.
  </li>
  <li>
   Experience supervised and unsupervised in machine learning algorithms.
  </li>
  <li>
   Experience with data capturing, aggregation, collation and manipulation with large data sets.
  </li>
  <li>
   Experience with Big Data and familiar with frameworks (e.g. Hadoop and Spark).
  </li>
  <li>
   Analytical mind, business insight and have strong math and statistics knowledge.
  </li>
  <li>
   Excellent communication and presentation skills.
  </li>
  <li>
   Proficient in English.
   <br/>
   <br/>
  </li>
 </ul>
 Professional Certifications
 <br/>
 <br/>
 <ul>
  <li>
   International certifications in Project management, Process improvements &amp; Standardisation, and/or Technology implementation
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  <em>
   TECHNICAL COMPETENCIES:
   <br/>
   <br/>
  </em>
 </strong>
 <ul>
  <li>
   As per ADNOC standard competencies
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  <em>
   Behavioural CompetenciEs:
   <br/>
   <br/>
  </em>
 </strong>
 <ul>
  <li>
   As per ADNOC standard competencies
  </li>
 </ul>
</div>


Specialist, Digital Emerging Technologies (Data Scientist / IOT)

Antal International

<div>
 <p>
  Antal International is collaborating with one of the UAEs leading government entities on a landmark initiative to modernize and strengthen the nation&rsquo;s financial infrastructure.
 </p>
 <p>
  <br/>
 </p>
 <p>
  This transformative program is driving the future of banking and financial services through
  <strong>
   AI, data analytics, and advanced digital technologies
  </strong>
  , including the development of next-generation AI-powered financial platforms.
 </p>
 <p>
  <br/>
 </p>
 <p>
  We are now looking to engage exceptional
  <strong>
   AI professionals (UAENationals and Expats)
  </strong>
  to be part of this high-impact transformation journey.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <u>
    ROLES IN DEMAND INCLUDE:
   </u>
  </strong>
 </p>
 <ul>
  <li>
   AI / Machine Learning Engineers
  </li>
  <li>
   AI/ ML Data Analyst
  </li>
  <li>
   Data Scientist (AI/ML Focus)
  </li>
  <li>
   Data Scientists &amp; Data Engineers
  </li>
  <li>
   AI Product &amp; Platform Specialists
  </li>
  <li>
   AI Digital Transformation Experts
  </li>
  <li>
   Analytics &amp; AI Strategy Professionals
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <u>
    KEY RESPONSIBILITIES
   </u>
  </strong>
 </p>
 <ul>
  <li>
   Design, develop, and deploy AI/ML models and data-driven solutions to solve complex business problems
  </li>
  <li>
   Work on end-to-end machine learning lifecycle including data collection, feature engineering, model training, evaluation, and deployment
  </li>
  <li>
   Build scalable data pipelines and support data engineering activities for structured and unstructured data
  </li>
  <li>
   Perform advanced data analysis to generate actionable insights for business and technology stakeholders
  </li>
  <li>
   Collaborate with product teams to integrate AI capabilities into digital platforms and applications
  </li>
  <li>
   Support AI-driven digital transformation initiatives across business functions
  </li>
  <li>
   Develop dashboards, analytics frameworks, and reporting systems for decision-making
  </li>
  <li>
   Contribute to AI strategy, experimentation, and innovation initiatives
  </li>
  <li>
   Ensure model performance, optimization, and continuous improvement in production environments
  </li>
  <li>
   Work closely with cross-functional teams including product, engineering, and business stakeholders
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <u>
    REQUIRED SKILLS &amp; QUALIFICATIONS
   </u>
  </strong>
 </p>
 <ul>
  <li>
   Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, AI, Engineering, Mathematics, or related field
  </li>
  <li>
   Strong understanding of
   <strong>
    AI, Machine Learning, and Data Analytics concepts
   </strong>
  </li>
  <li>
   Experience with Python, SQL, and data processing frameworks
  </li>
  <li>
   Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn)
  </li>
  <li>
   Knowledge of data engineering tools and cloud platforms (AWS, Azure, or GCP)
  </li>
  <li>
   Experience in building dashboards and analytical models is an advantage
  </li>
  <li>
   Strong problem-solving, analytical, and communication skills
  </li>
  <li>
   Ability to work in fast-paced, agile, and transformation-driven environments
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <u>
    WHAT YOU&rsquo;LL WORK ON
   </u>
  </strong>
 </p>
 <ul>
  <li>
   Building and deploying AI/ML models and intelligent systems
  </li>
  <li>
   Developing scalable data pipelines and analytics solutions
  </li>
  <li>
   Driving AI-powered digital transformation initiatives
  </li>
  <li>
   Collaborating with product, engineering, and business teams
  </li>
  <li>
   Delivering insights and solutions that impact real business outcomes
  </li>
 </ul>
 <p>
 </p>
</div>


AI, Data & Digital Transformation Professionals (UAEN & Expats)

Analog

<div>
 <strong>
  <strong>
   Overview
   <br/>
   <br/>
  </strong>
 </strong>
 Analog is pioneering the era of physical intelligence. Where digital intelligence transformed our online lives, Analog is transforming the lived world, making cities more adaptive, industries more resilient, services more human centered, and experiences more extraordinary.
 <br/>
 <br/>
 At the heart of our approach are living world models, continuously updated, enriched by every capture point, every device, every interaction. Within them resides Ana, the Analog Neural Agent. Ana perceives, adapts, and guides, transforming raw data into foresight and orchestration that improves outcomes across sectors, from safeguarding high-value assets to enhancing human performance.
 <br/>
 <br/>
 <strong>
  <strong>
   Overview:
   <br/>
   <br/>
  </strong>
 </strong>
 <strong>
  Overview
  <br/>
  <br/>
 </strong>
 Analog is pioneering the era of physical intelligence. Where digital intelligence transformed our online lives, Analog is transforming the lived world, making cities more adaptive, industries more resilient, services more human centered, and experiences more extraordinary.
 <br/>
 <br/>
 At the heart of our approach are living world models, continuously updated, enriched by every capture point, every device, every interaction. Within them resides Ana, the Analog Neural Agent. Ana perceives, adapts, and guides, transforming raw data into foresight and orchestration that improves outcomes across sectors, from safeguarding high-value assets to enhancing human performance.
 <br/>
 <br/>
 <strong>
  Role
  <br/>
  <br/>
 </strong>
 We are seeking a highly skilled and experienced
 <strong>
  Senior Backend Engineer
 </strong>
 to join our team as a backend developer. The ideal candidate will have strong experience in cloud and services, with a focus on large cloud, edge compute, and data transfer across multiple network protocols. Experience with containerized development and cloud-to-edge development patterns is highly preferred.
 <br/>
 <br/>
 As a
 <strong>
  Senior Backend Engineer,
 </strong>
 you will be responsible for designing and implementing scalable, high-performance, and reliable backend systems and services. You will work closely with cross-functional teams to identify and solve complex technical challenges and drive the development of innovative solutions.
 <br/>
 <br/>
 <strong>
  <strong>
   Responsibilities:
   <br/>
   <br/>
  </strong>
 </strong>
 <ul>
  <li>
   Design and implement scalable, high-performance, and reliable backend systems and services
  </li>
  <li>
   Work with cross-functional teams to identify and solve complex technical challenges
  </li>
  <li>
   Collaborate with team members to design and implement solutions to meet business and technical requirements
  </li>
  <li>
   Understand and apply best practices in software development, including agile methodologies, continuous integration, and test-driven development
  </li>
  <li>
   Maintain and improve existing systems and services.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  <strong>
   Qualifications:
   <br/>
   <br/>
  </strong>
 </strong>
 <ul>
  <li>
   Bachelor's or master&rsquo;s degree in computer science or a related field
  </li>
  <li>
   Minimum of 5 years of experience in C#/C++ development with large scale, in-production services
  </li>
  <li>
   Strong experience in cloud and services, with a focus on large cloud, edge compute, and data transfer across multiple network protocols
  </li>
  <li>
   Experience with containerized development and cloud-to-edge development patterns highly preferred
  </li>
  <li>
   Proficiency in agile development methodologies and continuous integration practices
  </li>
  <li>
   Strong problem-solving skills and ability to work independently as well as in a team environment.
  </li>
  <li>
   Excellent communication and collaboration skills
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  <strong>
   What Working At Analog Offers
   <br/>
   <br/>
  </strong>
 </strong>
 <ul>
  <li>
   Culture: A collaborative, globally minded team building the future of physical intelligence. We value curiosity, courage, and creativity, and we&rsquo;re united by a belief that technology should amplify human potential rather than replace it.
  </li>
  <li>
   Impact: The opportunity to work on projects with national and global significance, from adaptive cities and resilient infrastructure to next generation sports, entertainment, healthcare, and energy. Every product you help build contributes to shaping a safer, smarter, more human centered world.
  </li>
  <li>
   Growth: Outstanding opportunities for learning and career development. You&rsquo;ll collaborate with leaders across AI, robotics, mixed reality, and systems engineering, while working on industry first, frontier scale solutions.
  </li>
  <li>
   Rewards: A competitive compensation package with healthcare, education support, and generous leave benefits, reflecting the high value we place on our people and their families.
  </li>
 </ul>
</div>


Senior Backend Engineer

Luxoft

<div><div><h5 class="jobSectionHeader"><b>Project description
</b></h5><p>The Principal Full-Stack Architect (.NET &amp; Cloud) is a senior technical leader responsible for defining and driving the architecture of enterprise-scale applications across cloud, backend, frontend, data, DevOps, and AI-enabled solutions. The role combines strategic technology leadership with hands-on technical expertise, ensuring that solutions are scalable, secure, maintainable, and aligned with business objectives
</p></div><div><h5 class="jobSectionHeader"><b>Responsibilities</b></h5>
<div><div><p>Drive the full SDLC for Azure solutions: planning, requirement definition, development, testing, and quality assurance.
</p></div><div><p>Develop, enhance, and integrate modules within core applications used by front-office investment teams.
</p></div><div><p>Design and build containerized applications (Docker, Kubernetes/AKS) and cloud-native data stores (Mongo, SQL).
</p></div><div><p>Develop RESTful APIs, microservices, and event-driven systems (Service Bus, Event Hubs) with strict secure-integration standards (OAuth2/OIDC, managed identities).
</p></div><div><p>Build responsive, cloud-connected front-end interfaces (React/TypeScript; real-time via SignalR).
</p></div><div><p>Design and deliver AI-enabled capabilities: document intelligence, retrieval/search (AI Search), and Azure OpenAI-based workloads over structured and unstructured data.
</p></div><div><p>Configure, maintain, and optimize CI/CD pipelines and infrastructure-as-code (Bicep/ARM, Terraform); enable self-service engineering capabilities.
</p></div><div><p>Implement large-scale data processing and advanced analytics solutions in collaboration with architecture and data teams.
</p></div><div><p>Own incident management: troubleshooting, root cause analysis, and preventive measures.
</p></div><div><p>Partner directly with senior IT and business stakeholders; own the platform narrative, adoption strategy, and delivery roadmap.
</p></div><div><p>Mentor cross-functional teams on cloud-native and AI best practices
</p></div></div></div><div><h5 class="jobSectionHeader"><b>Skills</b></h5>
<p>Must have
</p><div><div><p>Must have:
</p></div><div><p>10+ years overall IT experience with a proven track record of architecting and delivering scalable cloud solutions through all SDLC phases.
</p></div><div><p>10+ years of .NET (C#) development within service-oriented and microservices architectures, including: ASP.NET Core / Web API, Entity Framework Core, async and concurrency patterns, and hands-on migration from .NET Framework to .NET 6/
</p></div><div><p>Production code on a current LTS version is expected; legacy-only (.NET Framework, WebForms) profiles do not qualify.
</p></div><div><p>7+ years hands-on Microsoft Azure: App Services, Functions, Logic Apps, AKS/Container Apps, APIM, Service Bus/Event Hubs, AI Search, AI Services/Azure OpenAI, Storage, Key Vault, Application Insights, Monitor. Skills:
</p></div><div><p>Demonstrated architecture ownership: solution/application architecture defined and delivered end-to-end at enterprise scale, including presenting architectural strategy to senior leadership. Candidates with purely implementation-level experience will not be considered.
</p></div><div><p>5+ years containerization and orchestration (Docker, Kubernetes/AKS) in production.
</p></div><div><p>5+ years Azure DevOps and CI/CD, including infrastructure-as-code (Bicep/ARM mandatory; Terraform preferred).
</p></div><div><p>Practical delivery of AI/GenAI workloads on Azure (Azure OpenAI, AI Search, document intelligence, or equivalent) &mdash; in production, within the last 24 months. Proof-of-concept-only or pre-2024 experience does not qualify.
</p></div><div><p>Deep database expertise: NoSQL (Mongo) and relational SQL, including data access patterns for AI use cases.
</p></div><div><p>Expertise in designing and consuming secure REST APIs; strong understanding of network architecture and authentication protocols (OAuth2/OIDC, managed identities).
</p></div><div><p>Modern front-end delivery: React/TypeScript with real-time capabilities (SignalR).
</p></div><div><p>Experience in regulated environments (financial services / investment management strongly preferred). Required certifications:
</p></div><div><p>Microsoft Certified: Azure Solutions Architect Expert: required. Applications without it are not shortlisted.
</p></div><div><p>Plus at least one of: Azure DevOps Engineer Expert or Azure AI Engineer Associate.
</p></div></div><p>Nice to have
</p><div><div><p>AWS and/or GCP exposure (multi-cloud evaluation experience)
</p></div><div><p>Terraform in production
</p></div><div><p>Python
</p></div><div><p>Databricks (recent, Unity Catalog-era experience) or comparable data/AI platforms; Palantir exposure
</p></div><div><p>Azure Security Engineer Associate
</p></div><div><p>Experience establishing self-service platforms for citizen developers
</p></div></div></div><div><h5 class="jobSectionHeader"><b>Other</b></h5>
<div><div><div><p>Languages</p>
<p>English: C2 Proficient
</p></div></div><div><div><p>Seniority</p>
<p>Lead</p></div></div></div></div></div>
<br><div><div><div><p>Abu Dhabi, United Arab Emirates
</p></div><p>Req. VR-123799
</p></div><div></div><div><div><p>C#/VB.NET
</p></div><div><p>BCM Industry</p>
</div><div><p>07/07/2026
</p></div><div><p>Req. VR-123799</p></div></div></div><p></p>

Principal Full-Stack Architect (.NET & Cloud)

TALENTMATE

<div>
 <strong>
  Job Description
  <br/>
  <br/>
 </strong>
 <strong>
  About The Role
  <br/>
  <br/>
 </strong>
 Analyze complex datasets, develop machine learning models, conduct experimentation, and generate actionable business insights to support data-driven decision-making and business innovation.
 <br/>
 <br/>
 <strong>
  Key Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Collect, clean, analyze, and prepare structured and unstructured datasets.
  </li>
  <li>
   Design, develop, and evaluate predictive and machine learning models.
  </li>
  <li>
   Conduct data analysis and experimentation to validate hypotheses and improve model performance.
  </li>
  <li>
   Generate actionable business insights through statistical analysis and data modelling.
  </li>
  <li>
   Create dashboards, visualizations, and analytical reports.
  </li>
  <li>
   Present findings and recommendations to business and technical stakeholders.
  </li>
  <li>
   Collaborate with cross-functional teams to solve business challenges using data.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Requirements
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor's degree in Data Science, Statistics, Computer Science, Artificial Intelligence, or a related field.
  </li>
  <li>
   3&ndash;8 years of experience in data science or advanced analytics.
  </li>
  <li>
   Strong programming skills in Python and SQL.
  </li>
  <li>
   Experience with statistical analysis, machine learning, and predictive modelling.
  </li>
  <li>
   Experience with data visualization tools and communicating analytical findings.
  </li>
  <li>
   Strong analytical, problem-solving, and communication skills.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience with Power BI, Tableau, or similar data visualization tools.
  </li>
  <li>
   Experience with big data technologies (e.g., Spark, Hadoop).
  </li>
  <li>
   Experience with cloud-based analytics or machine learning platforms.
   <br/>
   <br/>
  </li>
 </ul>
 Job Details
 <br/>
 <br/>
 Role Level: Not Applicable Work Type: Full-Time Country: United Arab Emirates City: Abu Dhabi Company Website: https://jaheziya.ae/ Job Function: Data Science &amp; AI Company Industry/
 <br/>
 <br/>
 Sector: Emergency and Relief Services
 <br/>
 <br/>
 What We Offer
 <br/>
 <br/>
 <strong>
  About The Company
  <br/>
  <br/>
 </strong>
 Searching, interviewing and hiring are all part of the professional life. The TALENTMATE Portal idea is to fill and help professionals doing one of them by bringing together the requisites under One Roof. Whether you're hunting for your Next Job Opportunity or Looking for Potential Employers, we're here to lend you a Helping Hand.
 <br/>
 <br/>
 Report
 <br/>
 <br/>
 Disclaimer: talentmate.com is only a platform to bring jobseekers &amp; employers together. Applicants are advised to research the bonafides of the prospective employer independently. We do NOT endorse any requests for money payments and strictly advice against sharing personal or bank related information. We also recommend you visit Security Advice for more information. If you suspect any fraud or malpractice, email us at abuse@talentmate.com.
</div>


Data Scientist

Confidential Careers

<div>
 <p>
  We are seeking a highly capable
  <strong>
   Power BI &amp; Data Analytics Specialist
  </strong>
  to design, develop, and maintain enterprise reporting, analytics, and data solutions.
 </p>
 <p>
  This role is ideal for a hands-on data and BI professional with strong experience across
  <strong>
   Microsoft Power BI, Microsoft Fabric, SQL, ETL/ELT development, Azure data services, and enterprise reporting platforms
  </strong>
  .
 </p>
 <p>
  <br/>
 </p>
 <p>
  <br/>
  You will play a key role in building scalable reporting environments, developing robust data integration pipelines, and delivering actionable business insights to support strategic and operational decision-making
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   .
   <br/>
   Key Responsibiliti
  </strong>
 </p>
 <ul>
  <li>
   esDesign, develop, and maintain interactiv
   <strong>
    e Power BI dashboards, reports, and semantic mode
   </strong>
  </li>
  <li>
   lsBuild and maintain scalabl
   <strong>
    e data warehouses, lakehouses, and data mar
   </strong>
  </li>
  <li>
   tsDevelop and optimis
   <strong>
    e ETL / ELT pipelin
   </strong>
   es for data ingestion, transformation, and integrati
  </li>
  <li>
   onManage data extraction and integration fro
   <strong>
    m ERP and enterprise syste
   </strong>
   ms using APIs, data entities, and automated integration metho
  </li>
  <li>
   dsDevelop and maintai
   <strong>
    n Power Automate workflo
   </strong>
   ws for report distribution, alerts, approvals, and business process automati
  </li>
  <li>
   onAdministe
   <strong>
    r Power BI Gatewa
   </strong>
   ys, dataset refresh schedules, workspace security, and Row-Level Security (RL
  </li>
  <li>
   S)Monitor and optimise reporting performance, scalability, and reliabili
  </li>
  <li>
   tyImplement stron
   <strong>
    g data governance, security, and data quality standar
   </strong>
  </li>
  <li>
   dsCollaborate with business stakeholders to define KPIs, reporting requirements, and analytical solutio
  </li>
  <li>
   nsSupport executive reporting, operational analytics, and self-service BI initiativ
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   es
   <br/>
   Requireme
  </strong>
 </p>
 <ul>
  <li>
   ntsBachelor&rsquo;s Degree in Computer Science, Information Systems, Data Analytics, Engineering, or related fi
  </li>
  <li>
   eldMinim
   <strong>
    um 6 years of experie
   </strong>
   nce
   <strong>
    in Business Intelligence, Data Engineering, or Analyt
   </strong>
  </li>
  <li>
   icsStrong hands-on experience
  </li>
  <li>
   <strong>
    in:Microsoft Power
   </strong>
  </li>
  <li>
   <strong>
    BIMicrosoft Fab
   </strong>
  </li>
  <li>
   <strong>
    ricSQL Server / Advanced T-
   </strong>
  </li>
  <li>
   <strong>
    SQLData Warehous
   </strong>
  </li>
  <li>
   <strong>
    ingETL / ELT Developm
   </strong>
  </li>
  <li>
   <strong>
    entAzure Data Services / Azure Data Fact
   </strong>
  </li>
  <li>
   <strong>
    oryPower Autom
   </strong>
  </li>
  <li>
   <strong>
    ateData Modelling (Star Schema / Snowfla
   </strong>
  </li>
  <li>
   <strong>
    ke)API Integrat
   </strong>
  </li>
  <li>
   ionStrong experience with performance tuning, query optimisation, and data transformat
  </li>
  <li>
   ionExperience working wi
   <strong>
    th ERP platfo
   </strong>
   rms and enterprise-scale reporting environme
  </li>
  <li>
   ntsStrong analytical, problem-solving, and stakeholder management ski
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   lls
   <br/>
   Preferred Experi
  </strong>
 </p>
 <ul>
  <li>
   enceExperience w
   <strong>
    ith Dynamics 365 Finance &amp; Operations (D365 F&amp;am
   </strong>
   p;O) or similar ERP platf
  </li>
  <li>
   ormsExperience w
   <strong>
    ith Power BI Embe
   </strong>
   dded and embedded analytics solut
  </li>
  <li>
   ionsExposure to enterprise application hosting, reporting automation, and large-scale data platf
  </li>
 </ul>
 <p>
  <br/>
 </p>
 orms
</div>


Power BI & Data Analytics Specialist

Explore 220+ Business intelligence analyst in Abu Dhabi this July. Find roles across top companies and apply now to boost your career.