Latest jobs

Role:🚀 We’re Hiring: AI Engineer | Dubai, UAE

We’re looking for a hands-on AI Engineer who can turn business requirements into reliable AI applications, intelligent agents, and automation workflows.

📍 Applicants must currently live in Dubai. This is a mandatory requirement.

What you’ll work on:

Build AI assistants, connect models to business tools and data, automate complex tasks, and take solutions from prototype to deployment.

Technical skills we’re looking for:

▪️ LLMs & Generative AI

Understanding of large language models, prompt engineering, context management, structured outputs, function calling, and model limitations. Ability to select suitable models and balance quality, speed, and cost.

▪️ AI Agents & Tool Integration

Experience building agents that use APIs and external tools, manage conversation state, execute multi-step workflows, and handle failures. Understanding of when human approval is needed.

▪️ MCP — Model Context Protocol

Understanding of MCP hosts, clients, and servers; tools, resources, and prompts; and how to connect AI applications to external systems with appropriate access controls. Experience building or integrating MCP servers is a strong advantage.

▪️ RAG & Knowledge Systems

Familiarity with Retrieval-Augmented Generation, document ingestion, chunking, embeddings, vector databases, semantic search, and retrieval quality. Ability to build assistants grounded in company documents and data.

▪️ Software Engineering & Deployment

Strong Python skills, API integration, backend development, Git, debugging, and testing. Ability to deploy, monitor, and maintain AI applications.

▪️ Evaluation, Reliability & Security

Ability to evaluate responses and task completion, investigate hallucinations, monitor latency and usage costs, and address prompt injection, sensitive data handling, and unauthorized tool access.

Additional advantages: experience with open-source models, fine-tuning, multimodal AI, Docker, and cloud deployment.

How to apply:

Upload your CV to Google Drive and set access to “Anyone with the link can view.” Submit your CV link and application details through this page:

https://xpu.live/contact/

Include the following in your application:

Your current location in Dubai.

A summary of your relevant AI experience.

One or two AI projects, explaining your contribution and the technologies used. Include GitHub, portfolio, or demo links where available.

Your current UAE visa status: visa type, expiry date, current work authorization, and whether you require employer sponsorship.

Your availability and notice period.

⚠️ Applications will be rejected if you are not currently living in Dubai, do not meet the essential technical requirements, or submit an incomplete application or inaccessible CV link.

#Hiring #AIEngineer #DubaiJobs #GenerativeAI #LLM #AIAgents #MCP #RAG

Role:Job Objective

We are looking for an application developer with strong hands-on experience in Microsoft Dynamics NAV and LS Retail. The role will be responsible for development, customisation, maintenance, integration and support of NAV and LS Retailapplications used across our retail business.

The ideal candidate should have good practical knowledge of NAV C/AL development, LS Retail POS, SQL Server, database development and API/integration development. The role will work closely with business users, IT teams and external vendors to ensure applications are stable, reliable and meet business requirements.

Principle Accountabilities

Take ownership of the stability, availability and support of LS Retail/NAV applications and POS systems

Develop, customise and deliver NAV/LS Retail enhancements and solutions within the agreed timelines

Develop, maintain and support APIs and integrations with internal and third-party applications

Manage SQL development, database troubleshooting and data integrity to support business applications

Ensure all application changes follow IT change, testing, security, deployment and documentation standards

Work closely with business users, IT teams and vendors to understand requirements and resolve application issues

Identify opportunities for continuous improvement, automation, and optimization of retail applications and integrations

Provide effective production support and troubleshooting to minimise business disruption

Key Performance Indicators

Application Stability & Availability: Maitnain reliable and stable NAV/LS retail applications with minmum business disruption

Incident resolution - resolve application and prdocution issues within agreed SLA timelines

Development Quality - Deliver NAV/LS Retail developments and enhancements with good quality and minimal defects

Project & Integration Delivery - Deliver application enhancements, APIs and integrations within agreed timelines

Issue Reduction - Identify root causes, and reduce recurring application/production issues

Database Perforamce - Maintain good SQL/database performance, reliability and data accuracy

Intergration Reliability - Ensure APIs and system integrations are stable, secure and functioning as expected

Change Management Compliance - Ensure all changes are properly tested, approved, documented and deployed as per IT procedures

Candidate Requirements

Bachelor's degree in computer science, IT, Engineering or a related field

5+ years of experience in Microsoft Dynamicas NAV/LS Retail development and application support

Strong hands-on experience in Microsoft NAV/LS Retail and C/AL/C/SIDE development

Experience in Microsoft SQL Server, including SQL queries, stored procedures, database troubleshooting, and data analysis

Strong experience in SPI and system integration development including REST APIs, JSON/XML and web services

Experience in Python development/scripting for automation, data processing and application integration

Experience in production support, toubleshooting, and resolving application issues

Past experience in the retail industry is highly preferres

Relevant professional certifications are preferred

Core Competencies

Strong analytical and troubleshooting skills

Good understanding of software development lifecycle

Ability to work independently and manage multiple application issues/projects

Good communication and stakeholder management skills

Ability to work with business users, IT teams and external vendors

Strong ownership and problem-solving mindset

Role:Bring your energy to Aggreko as Service Manager based in Oman

You will be responsible for driving the depot team efficiently to deliver best in class service to the client and always ensuring maximum availability of equipment being maintained and serviced in line with Aggreko policies and procedures

What You’ll Do As Service Manager

Manage the depot service team to achieve forecasted goals and effectively manage P&L related responsibilities whilst implementing cost control measures within published guidelines and authority levels & providing (Power & TC) & ancillaries to support Oman & other ME regions as & when required.

Active involvement & leading the management of CDH, GSCS, Audits & PAV of the depot by carrying out regular inspections & support as applicable.

Driving preset global operational directives & carrying out monthly cost analysis in line with the depot’s target & set KPIs.

Conduct induction, performance appraisal, development, and training of direct reports & technical support to the clients and internal teams where applicable.

Aggreko places a strong emphasis on Quality, Health, Safety and Environmental protection. It is a requirement and moral obligation of each employee to be actively committed and accountable for compliance to the Aggreko Health, Safety & Environmental policies, procedures and local legislation, and ensure completion and validity of all minimum QHSE training and objectives required by the company.

Any other duties considered related essential for effective operations and service as requested.

Here’s What You’ll Get

Must have experience previously in rental business & at supervisory level.

Higher Education qualification in Mechanical/Electrical or equivalent qualifications with extensive knowledge and experience in mechanical or electrical field or both.

Possession of valid local Driving License as per the need of the business and the ability to travel as & when required.

Fluent command of English language, spoken and written with effective communication.

Good Keyboard skills and Computer literate. Must be able to do documentation, soft reporting & analysis.

Capable of working on his own initiatives. Quality oriented with attention to details and capable of working to deadlines.

Our people are can-do, positive, resilient and persistent. If that feels like you, apply now and build your career with the people bringing energy to the world.

Submit your resume and academic record today!

Equal employment opportunity

We welcome people from different backgrounds and cultures, and respect people’s unique skills, attitudes and experiences. We encourage everyone to be themselves at work because we know that’s how we do our best, for each other, for our customers, for the communities where we work, and for our careers.

We are an equal opportunity employer. If you apply for a role at Aggreko, we will consider your application based on your qualifications and experience, and not on your race, colour, ethnicity, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.

Role:In most instances, this position requires in-person interviews as part of the hiring process.

Applicants to this role must have work authorization in Saudi Arabia as this role is not eligible for work visa sponsorship

Minimum qualifications:

Bachelor’s degree or equivalent practical experience.

5 years of experience troubleshooting technical issues for internal/external partners or customers.

Experience with technical delivery strategies and interfacing with product or engineering organizations.

Experience in system design or orchestration frameworks (e.g., LangGraph, AutoGen, CrewAI).

Experience with enterprise integrations (APIs, enterprise content management (ECMs), identity), Cloud infrastructure, or AI/ML model deployments.

Preferred qualifications:

Experience interfacing directly with core product/engineering organizations regarding infrastructure or AI/ML model deployments, managing technical delivery strategies, and debugging systems.

Ability to communicate in Arabic and English fluently.

About the jobAs an AI Outcome Customer Engineer, Forward Deployed Engineering, you will bridge the gap between pre-sales agreement shaping and post-sales execution. Entering the agreement cycle during the technical evaluation phase for AI accounts, you will ensure that solutions are shaped strictly through the lens of adoption, rapid activation, and viable delivery.

Aligned with our Forward Deployed Engineering (FDE) organization, you will architect how these technical assets actually integrate into the customer's IT ecosystem (connectors, identity, data residency, legal constraints).

Responsibilities

Partner with Account teams and Practice Customer Engineers (CEs) during technical evaluation phases to assess project feasibility, shape proposals for long-term adoption, and validate FDE engagement requests.

Dive into code-level context to diagnose and resolve complex customer implementation issues, identify core product bugs, and test workarounds to clear execution roadblocks.

Serve as the definitive liaison to core Product and Engineering teams, troubleshooting systemic deployment blockers and translating real-world field feedback into actionable feature requests.

Steer implementation strategy through technical authority and architectural foresight while owning the technical reality of delivery alongside customer-facing teams.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .

Role:Job Title: Senior Object Tracking Algorithm SpecialistLocation: United Arab Emirates (Remote)

Employment Type: Full-Time

Work Arrangement: 100% Remote — Work From Home

Level: Senior

About the RoleWe are seeking an experienced Senior Object Tracking Algorithm Specialist to design, develop, evaluate, and optimize computer vision algorithms that detect and track objects across image sequences and video streams. The successful candidate will apply deep learning, motion estimation, multi-object tracking, and statistical modeling techniques to build accurate and reliable tracking solutions. This fully remote role focuses on algorithm development, offline video analysis, performance evaluation, and technical collaboration with computer vision and engineering teams.

Key Responsibilities

Design and develop algorithms for single-object and multi-object tracking across image sequences and video data.

Implement object detection and tracking pipelines using traditional computer vision and deep learning techniques.

Develop tracking methods based on Kalman filters, particle filters, optical flow, and motion estimation.

Apply tracking algorithms such as SORT, DeepSORT, ByteTrack, and other suitable approaches.

Integrate object detection models with tracking systems to maintain consistent object identities across video frames.

Develop data association methods to match detected objects across consecutive frames.

Optimize tracking performance under challenging conditions, including occlusion, motion blur, changing illumination, and camera movement.

Evaluate object tracking accuracy using metrics such as MOTA, MOTP, IDF1, HOTA, and identity-switch counts.

Conduct experiments to compare tracking architectures, association strategies, and model configurations.

Analyze tracking failures, identity fragmentation, missed detections, and false associations.

Develop preprocessing and post-processing methods to improve tracking stability and temporal consistency.

Optimize algorithms for processing speed, computational efficiency, and scalability.

Work with image and video datasets to prepare annotations, benchmark models, and validate tracking performance.

Collaborate with computer vision engineers, machine learning specialists, data scientists, and software developers.

Develop automated testing and evaluation frameworks for tracking algorithm validation.

Maintain technical documentation covering algorithm architecture, datasets, evaluation methods, and performance limitations.

Monitor algorithm performance across different environments, object categories, and video conditions.

Present technical findings and recommendations to engineering teams and project stakeholders.

Qualifications and Experience

Bachelor's or master's degree in Computer Science, Artificial Intelligence, Robotics, Electrical Engineering, Data Science, or a related discipline.

Significant professional experience in computer vision, object tracking, or machine learning algorithm development.

Strong understanding of object detection, multi-object tracking, motion estimation, and visual recognition.

Practical experience implementing tracking algorithms such as SORT, DeepSORT, ByteTrack, or equivalent methods.

Proficiency in Python and relevant computer vision and machine learning libraries.

Experience with OpenCV, PyTorch, TensorFlow, or comparable frameworks.

Knowledge of Kalman filtering, optical flow, feature matching, and data association techniques.

Understanding of deep learning architectures for object detection and feature extraction.

Experience evaluating tracking systems using established benchmark datasets and performance metrics.

Familiarity with video processing, image annotation, and dataset preparation workflows.

Knowledge of GPU acceleration and model optimization is advantageous.

Ability to troubleshoot complex tracking failures and improve algorithm reliability.

Strong mathematical, statistical, and analytical problem-solving skills.

Excellent technical documentation and communication abilities.

Ability to work independently and collaborate effectively in a fully remote environment.

What We Offer

100% remote working arrangement within the stated employment framework.

Competitive compensation based on qualifications and professional experience.

Opportunities to work on advanced computer vision and intelligent video analytics projects.

Professional development and continuous learning opportunities.

Collaborative environment with international and multidisciplinary engineering teams.

How to ApplyInterested candidates should submit an updated CV highlighting their experience in object tracking, computer vision, deep learning, motion estimation, and algorithm evaluation.

Application Subject: Application – Senior Object Tracking Algorithm Specialist (UAE Remote)

Candidates should confirm applicable employment arrangements, residency requirements, and work authorization before accepting an offer.

Role:Enterprise Integration Lead - (12-month FTC)

We've partnered with an awesome company working in a range of different areas from the likes of Aerospace and Space, Security and Defense, Sustainability, Environment and Energy and much more. They are looking for a Technical Integration & Deployment Engineer to support the implementation of an enterprise Facility Management solution integrating Facilio, BIM/Digital Twin applications, SAP S/4HANA, IoT/Kepware and corporate identity systems.

The person will be responsible for on-premise application deployment, infrastructure configuration, SSO/SAML integration, API-based system integration, Digital Twin integration, security configuration, troubleshooting and production handover.

This is a hands-on technical role requiring strong knowledge of enterprise application deployment, networking, authentication, APIs and integration technologies. This is a 12-month FTC.

Key Responsibilities:

Deploy and configure the Facility Management solution on customer on-premise servers/VMs, including application, database, network, SSL/TLS and environment configuration.

Configure enterprise SSO using SAML 2.0, ADFS/Entra ID, OAuth/OpenID Connect, user claims and role mapping.

Develop, configure and troubleshoot REST API/Webhook integrations with SAP S/4HANA, BIM/Digital Twin, IoT/Kepware and other enterprise systems.

Support Digital Twin/BIM integration, including asset-to-BIM object mapping, metadata synchronization, iframe integration and live operational data visualization.

Support IoT integration using Kepware, OPC UA, MQTT and REST interfaces for equipment and sensor data.

Configure and troubleshoot DNS, firewall rules, reverse proxy, load balancer, certificates and application connectivity.

Perform API, integration, deployment and security testing, analyse logs and resolve application, network, authentication and integration issues.

Support SIT, UAT, production deployment, go-live and hypercare

Coordinate with customer IT, cybersecurity, SAP, BIM and infrastructure teams.

If this role is of interest, please do apply and I will get back to you as quickly as possible. Please only apply if you have the relevant experience.

Role:Job Title: Senior Document Intelligence Pipeline SpecialistLocation: United Arab Emirates (Remote)

Employment Type: Full-Time

Work Arrangement: 100% Remote — Work From Home

Level: Senior

About the RoleWe are seeking an experienced Senior Document Intelligence Pipeline Specialist to design, develop, and optimize automated pipelines that extract, classify, interpret, and process information from complex digital documents. The successful candidate will combine document processing, optical character recognition (OCR), natural language processing (NLP), machine learning, and data engineering to transform unstructured document content into accurate, structured, and searchable information. This fully remote role requires strong technical expertise and the ability to deliver scalable document intelligence solutions.

Key Responsibilities

Design, develop, and maintain end-to-end document intelligence pipelines for processing large volumes of digital documents.

Build automated workflows for document ingestion, classification, extraction, validation, and structured data output.

Implement OCR and intelligent character recognition solutions for scanned documents, images, and digital files.

Develop document classification models to identify document types, categories, and relevant content.

Apply NLP and machine learning techniques to extract entities, relationships, metadata, and key information.

Design information extraction workflows for invoices, contracts, forms, reports, statements, and other business documents.

Develop preprocessing methods for document normalization, layout analysis, segmentation, and noise reduction.

Integrate document processing systems with databases, enterprise applications, APIs, and cloud storage platforms.

Implement confidence scoring, validation rules, and exception-handling mechanisms to improve extraction accuracy.

Evaluate document intelligence performance using precision, recall, accuracy, and processing-efficiency metrics.

Investigate extraction errors, inconsistent document layouts, missing information, and OCR quality issues.

Optimize pipeline scalability, processing speed, resource utilization, and operational reliability.

Apply human-in-the-loop review mechanisms for ambiguous or low-confidence extraction results.

Establish document versioning, metadata management, audit trails, and data lineage procedures.

Implement appropriate privacy, access control, and information security measures when handling sensitive documents.

Collaborate with data engineers, software developers, business analysts, and domain specialists.

Maintain technical documentation covering pipeline architecture, extraction logic, validation rules, and performance benchmarks.

Recommend improvements to document processing automation and intelligent information management.

Qualifications and Experience

Bachelor's or master's degree in Computer Science, Artificial Intelligence, Data Science, Information Systems, or a related discipline.

Significant professional experience in document processing, intelligent automation, data engineering, or machine learning.

Strong understanding of OCR, document classification, information extraction, and document layout analysis.

Practical experience developing end-to-end document intelligence or intelligent document processing solutions.

Proficiency in Python and relevant machine learning and document processing libraries.

Experience with OCR technologies and frameworks such as Tesseract, Azure AI Document Intelligence, AWS Textract, or equivalent tools.

Knowledge of NLP, named entity recognition, text classification, and language model-based extraction.

Experience working with PDF files, scanned images, structured forms, and unstructured documents.

Strong SQL skills and experience integrating document pipelines with databases and enterprise systems.

Familiarity with cloud infrastructure, APIs, distributed processing, and workflow orchestration tools.

Understanding of data validation, quality assurance, exception handling, and pipeline monitoring.

Knowledge of information security, privacy controls, and responsible document data management.

Strong analytical thinking, troubleshooting, and problem-solving capabilities.

Excellent technical documentation and communication skills.

Ability to manage complex technical projects independently in a fully remote environment.

What We Offer

100% remote working arrangement within the stated employment framework.

Competitive compensation based on qualifications and professional experience.

Opportunities to work on advanced document intelligence and automation technologies.

Professional development and continuous learning opportunities.

Collaborative environment with international and multidisciplinary teams.

How to ApplyInterested candidates should submit an updated CV highlighting their experience in document intelligence, OCR, NLP, machine learning, and automated document processing pipelines.

Application Subject: Application – Senior Document Intelligence Pipeline Specialist (UAE Remote)

Candidates should confirm applicable employment arrangements, residency requirements, and work authorization before accepting an offer.

Role:Job Description

Noventiq is expanding its team & is on the lookout for goal-oriented, self-driven & motivated individuals, to support the next phase of company’s growth strategy.

Industry: IT/Cloud Services

Location: Riyadh, KSA

Job Title – Senior Solutions Architect

Role Overview

We are looking for a Senior Solutions Architect – Data & AI who can independently lead customer engagements, shape complex solutions, and drive strategic conversations across business and technology stakeholders.

This role requires a self-driven, client-facing architect who is comfortable owning the entire solution lifecycle—from discovery to proposal—while specializing in modern data platforms, analytics, and AI/ML solutions on Azure.

Fluency in Arabic is mandatory , as the role will involve direct engagement with Middle East customers.

Key Responsibilities

Client Engagement & Solution Ownership

Act as the primary solutions architect in customer discussions—owning conversations end-to-end without dependency.

Lead CXO-level and technical workshops, translating business challenges into scalable Data & AI solutions.

Independently drive solution discovery, architecture definition, and proposal creation.

Build trusted advisor relationships with customer stakeholders, especially within Arabic-speaking regions.

Data, AI & Application Architecture

Design and architect end-to-end enterprise solutions, including:

Modern Data Platforms (Data Warehouses, Lakehouse, real-time analytics)

AI/ML solutions (predictive analytics, NLP, GenAI, copilots)

Application architectures (microservices, APIs, event-driven systems)

Integrate data platforms with enterprise applications (CRM, ERP, custom apps).

Define data strategies, API strategies, and application integration models.

Ensure solutions are scalable, secure, high-performing, and cost-optimize

Pre-Sales Leadership

Lead the technical component of bids, proposals, and RFP responses.

Develop high-quality solution artifacts:

Architecture diagrams

Cost models & TCO optimization

Implementation roadmaps

Value propositions aligned to business outcomes

Participate in solution demos, PoCs, and design validations.

Business & Strategic Alignment

Translate customer business goals into measurable data and AI outcomes.

Identify opportunities for:

Data modernization

AI adoption and innovation

Upsell/cross-sell within existing accounts

Balance technical excellence with commercial viability.

Collaboration & Delivery Alignment

Work closely with sales, delivery, and engineering teams for seamless transition from presales to execution.

Provide architectural oversight during initial delivery phases where needed.

Mentor junior architects and engineers on Data & AI, and application architecture

Required Skills & Expertise

Technical – Data & AI

Strong expertise in Azure Data & AI ecosystem, including:

Azure Data Factory / Synapse / Microsoft Fabric

Azure Databricks

Azure Machine Learning & AI Services (incl. OpenAI)

Deep understanding of:

Data architecture patterns (Lakehouse, data mesh, etc.)

Data governance, security, and compliance

AI/ML lifecycle and MLOps

Experience in Azure-native and hybrid architectures.

Technical – Application & Integration

Strong experience in application architecture, including:

Microservices and distributed systems architecture

API design and management (REST, GraphQL, API gateways)

Event-driven architectures (Kafka, messaging systems)

Experience with application modernization:

Monolith to microservices transformation

Containerization and orchestration (Docker, Kubernetes)

Familiarity with integration patterns:

Data + application integration (ETL + APIs)

Middleware and enterprise integration platforms

Understanding of frontend/backend separation and digital application stacks

Professional

Proven track record of independently handling pre-sales engagements and closing complex deals.

Strong ability to articulate business value, not just technical solutions.

Experience working with Middle East clients is highly preferred.

Language

Fluency in Arabic (spoken and written) – mandatory

Strong English communication skills

Experience & Qualifications

8+ years of experience in technology consulting / architecture

4+ years in Data & AI solutions architecture

Strong pre-sales or consulting background with customer-facing roles

Bachelor’s or Master’s degree in Computer Science, Data Science, or related field

Certifications (preferred But Not Required)

Microsoft Certified: Azure Solutions Architect Expert

Microsoft Certified: Azure Data Engineer Associate

Microsoft Certified: Azure AI Engineer Associate

Microsoft Certified: Designing Azure Solutions

Key Traits for Success

Self-starter with the ability to operate independently in high-stakes environments

Strong storytelling and executive communication skills

Commercially aware with a solution-selling mindset

Passion for Data, AI, and emerging technologies

Location: Riyadh - NQKSA, Riyadh, Riyadh, Saudi Arabia

Role:Role: Performance Test Engineer ( UAE-Based Candidates only)

Type: Full-Time/ Contract

Location: Abu Dhabi, United Arab Emirates

Skills: Performance Testing

Experience: 5+

Requisites:

Experience with JMeter, K6, Gatling or equivalent tools

Experience in API, Web and Mobile performance testing.

Experience with Load, Stress, Endurance and Scalability testing.

Familiarity with CI/CD pipelines and cloud environments (AWS / Azure)

Interested? Please apply, thanks for your interest and time.

To read about our privacy policy Link

Role:About this Position At Henkel, we are committed to operational excellence, continuous improvement, and building world-class manufacturing capabilities. We are looking for an experienced Electrical & Maintenance Engineer who is passionate about solving complex technical challenges, driving reliability, and delivering innovative engineering solutions that keep our operations running at their best.

What You´ll Do

Drive asset reliability and maintenance excellence by developing, managing, and optimizing preventive maintenance strategies and plans within SAP.

Lead electrical troubleshooting and problem-solving efforts, identifying root causes of equipment failures and implementing sustainable corrective actions.

Provide technical expertise in electrical, automation, and control systems.

Support and execute engineering projects from concept through commissioning.

Drive automation and digitalization initiatives including PLC, SCADA, and HMI projects.

Collaborate with cross-functional teams, contractors, suppliers, and stakeholders.

Manage critical spare parts strategies and inventory optimization.

Champion a strong safety culture and compliance mindset.

Drive continuous improvement in reliability, energy performance, and operational efficiency.

What makes you a good fit

Bachelor's Degree in Electrical Engineering.

2-4 years of experience in manufacturing, industrial, process, or chemical industry environments.

Strong experience in electrical maintenance, troubleshooting, and reliability engineering.

Knowledge of power distribution, automation, PLC, SCADA, and HMI systems.

Proficiency in SAP maintenance modules and preventive maintenance management.

Experience with commissioning, installation, and project execution.

Root cause analysis and reliability improvement expertise.

Strong understanding of safety standards and engineering compliance.

Advanced English and strong collaboration skills.

At Henkel, we come from a broad range of backgrounds, perspectives, and life experiences. We believe the uniqueness of all our employees is the power in us. Become part of the team and bring your uniqueness to us! We look for a diverse team of individuals who possess different backgrounds, experiences, personalities and mindsets.

Role:Your role at Dynatrace

What’s the role?

As a Dynatrace Solution Engineer, you will be a key member of the Dynatrace sales engine, responsible for providing excellent technical support to the sales team across Dubai and South Africa. You will be the expert on Dynatrace and all facets of Advanced Observability. Within this exciting role, you will be responsible for executing great demos which demonstrate the Dynatrace unique approach in solving the customer’s pain, executing and managing POCs onsite and remote, building key relationships with Dynatrace’s customers and completing RFIs & RFPs. You will also work across teams including Dynatrace’s innovation labs, Dynatrace’s Expert Services consultants, CSMs and marketing.

About You

To ensure your success as a Solution Engineer at Dynatrace, you need to be an ambitious, confident and self-motivated individual, with previous SE experience or another technical customer facing role. You need to be passionate about innovative technology, technical sales and articulating value to customers and prospects. In addition, we are also looking for:

An excellent team player, with the ability to work across all disciplines.

Excellent communication and presentation skills, with the ability to communicate technical value into business value.

You have worked previously with enterprise customers in South Africa and Dubai.

Previous 5+ years of experience with observability or application performance management technologies and techniques.

Ability to troubleshoot technical issues to produce a working outcome and be able to manage this process.

Ability to manage a number of projects simultaneously, work with a number of different sales people and support other SEs where needed.

Must have a strong desire to grow professionally, adapt to an ever-changing environment and are coachable.

Must be able to travel up to 50% of the time

Responsibilities

Evangelize Dynatrace’s product offerings during international trade shows and at key customer account meetings to promote new and expanded business.

Partner with sales representatives to identify new sales opportunities as well as incremental sales opportunities within existing accounts.

As part of the solution engineering team participate in proof of concept (PoC) creation and cloud architecture discussions, leading the technical solution evaluation portion in support of sales opportunities either directly or through channel partners for multiple POCs.

Present Dynatrace’s vision to our customers C-suite executives.

Provide technical guidance in the Discovery, Solution Evaluation, and Solution Proposal stages of the opportunity sales cycle.

Present on-stage demonstrations providing insight and context to our customers during key marketing events. Either at Dynatrace sponsored industry events or partner sponsored events, ensure key demonstrations are delivered by you or a team member at demonstration booths.

Gather, qualify and provide feedback from customers to Product Management to improve Dynatrace’s market share and meet the market needs.

Not only work with internal sales team, but also with partners, supporting their team in the customers and being a technical point of contact for them (trusted advisor/technical coach).

Position might be filled at a higher level based on candidate experience.

What Will Help You Succeed

Minimum Requirements:

Bachelor’s degree in Computer Science or equivalent education or experience required.

5+ years of experience within the observability space.

Preferred Requirements

Experience with web technologies such as HTML, CSS, and JavaScript, and programming/ scripting side technologies such as Java, .NET, PHP, Go, Node.js and database.

Experience with DevOps or Site Reliability Engineering practices, knowledge with cloud platforms, including AWS, Azure or GCP.

Experience with modern technologies like containers, Kubernetes / OpenShift, Serverless functions, and CI/CD pipelines.

Experience with log management and analytics, including ingesting, parsing, and querying logs. Able to correlate logs with traces and metrics for troubleshooting.

Knowledge of runtime application security, including vulnerability detection in third-party libraries, attack detection, and DevSecOps / shift-left practices

Experience monitoring AI/ LLM-powered applications, including tracing model calls and agents, and tracking token usage, latency, cost, and output quality.

Knowledge of building and operating AI-enabled applications, including LLM integration, RAG, agent frameworks, prompt engineering, and deploying models in production

Why you will love being a Dynatracer

Dynatrace is a leader in unified observability and security.

We provide a culture of excellence with competitive compensation packages designed to recognize and reward performance.

Our employees work with the largest cloud providers, including AWS, Microsoft, and Google Cloud, and other leading partners worldwide to create strategic alliances.

You'll get to work at the forefront of innovation with Dynatrace Intelligence—the industry's first agentic operations system. Bringing together deterministic and agentic AI, it helps teams understand what's happening, why it matters, and what to do next— automatically.

Over 50% of the Fortune 100 companies are current customers of Dynatrace.

Job description:

Job Purpose Leads delivery and execution of enterprise data and analytics solutions, overseeing BI, analytics, and data infrastructure teams to deliver accurate, integrated insights and align data initiatives with business goals.

Key Accountability Areas Strategic Leadership in Data & Analytics:

Define and drive the overall data and analytics strategy aligned with the organization’s vision, mission, and strategic objectives.

Lead the development and execution of enterprise-wide data initiatives, ensuring integration across BI, analytics, and data infrastructure functions.

Champion a data-driven culture by promoting the use of analytics in decision-making across business units.

Oversight of BI, Analytics, and Data Infrastructure:

Oversee the design, development, and delivery of dashboards, reports, and visualizations that provide actionable insights.

Guide the development of advanced analytics models and ensure their alignment with business needs.

Ensure robust architecture and governance of data warehouses and data lakes to support scalable and secure data operations.

Stakeholder Engagement and Collaboration:

Act as the primary liaison between the data & analytics function and business stakeholders to ensure alignment of data initiatives with business priorities.

Translate complex data concepts into business-friendly language to support executive decision-making.

Innovation and Technology Enablement:

Evaluate and implement emerging technologies and tools to enhance data capabilities across the organization.

Foster innovation by encouraging experimentation with new data methodologies, tools, and platforms.

Data Governance and Quality Assurance:

Establish and enforce data governance frameworks, policies, and standards to ensure data integrity, security, and compliance.

Monitor data quality across systems and lead initiatives to improve data accuracy and reliability.

Role Accountability HR Proficiency:

Ability to recruit, recognize and cultivate high performers and expose them in order to create a robust second line of management.

Ability to recognize low performers and guide them to improve or release them.

Ability to treat subordinates equally without any discrimination.

Assessment criteria of subordinates is performance that leads to planned results.

Ensure availability of delegation of authority matrix to have sufficient delegations as per company policy.

Responsibility:

Must take full responsibility for his operation as per the job description and the required deliverables from this position, taking into consideration the general company guidelines.

Able to anticipate problems and make the necessary proactive steps to prevent them

Ability to take necessary and proper timely decisions.

Delivery:

Deliver the required results in timely manner with required quality and cost.

Making a Tangible Difference:

Must make a tangible difference to his area of operation. and exceed business expectations.

Able to transform the corporate goals into business plans.

Able to Plan, follow-up and execute those plans, whether they are annual or development plans.

Monitor the plan performance and initiate action to strengthen results and take the corrective action accordingly.

Provide periodic work progress reports.

Responsible for monitoring and controlling budgets and expenses to achieve the optimum cost efficiency.

Develop the organizational structure according to the current requirements taking into consideration future and development plans.

Ensure availability of job descriptions for all job roles and deploy them.

Develop, coordinate well-defined written systems, policies, procedures, and seeking automations opportunities as much as possible.

Should be conversant and able to navigate through IT solutions especially those relevant to his job and business.

Promote the automated systems and using them fully, to spread its culture.

Quality:

Quality is considered as alfanar’s prime competitive advantage as such, managers are expected to act accordingly.

Academic Qualification Bachelor Degree in Computer Science or Any relevant field Work Experience 6 to 10 Years Technical / Functional Competencies Business Analysis Big Data Analytics Data Mining

Profile description:

Alfanar is a Saudi company with an international presence, primarily engaged in the manufacturing and trading of a wide variety of low, medium, and high voltage electrical products, in addition to its portfolio of conventional and renewable energy solutions, oil and gas, water treatment, infrastructure, technical services, and digital solutions.

The hub of alfanar’s manufacturing operations is Medinet alfanar Alsinaiya, a 700,000 square-meter complex located in Riyadh. The complex houses an array of ultra-modern manufacturing facilities and laboratories equipped with state-of-the-art technologies and staffed with highly skilled professionals.

alfanar derives its success from its commitment to providing the highest quality standards to its customers, and the continuous development of its human capital, who alfanar considers its most valuable asset. With this in mind, alfanar promotes a proactive work environment where its employees are always valued, nurtured, and empowered to fuel their pride in being part of alfanar.

For more information about alfanar, please visit alfanar.com

Role:Job Title: Senior Knowledge Graph Construction SpecialistLocation: United Arab Emirates (Remote)

Employment Type: Full-Time

Work Arrangement: 100% Remote — Work From Home

Level: Senior

About the RoleWe are seeking an experienced Senior Knowledge Graph Construction Specialist to design, develop, and maintain structured knowledge graphs that represent complex relationships between entities, concepts, and information sources. The successful candidate will combine knowledge representation, graph data modeling, semantic technologies, and data integration techniques to transform diverse datasets into interconnected, searchable, and reusable knowledge structures. This fully remote role requires strong technical expertise in graph technologies, ontology development, and data engineering.

Key Responsibilities

Design and implement scalable knowledge graph architectures for structured and unstructured data.

Develop entity schemas, graph models, ontologies, and semantic data structures.

Identify and extract entities, relationships, attributes, and concepts from multiple information sources.

Build automated pipelines for transforming source data into graph-based representations.

Apply entity resolution and record linkage techniques to identify duplicate and equivalent entities.

Define relationship types, entity hierarchies, semantic properties, and graph constraints.

Develop and maintain ontologies, taxonomies, controlled vocabularies, and knowledge representation standards.

Implement knowledge graph construction workflows using RDF, OWL, and property graph models where appropriate.

Develop graph queries and data transformation logic using SPARQL, Cypher, or equivalent query languages.

Integrate data from relational databases, APIs, documents, and external information repositories.

Apply natural language processing and information extraction techniques to identify relevant entities and relationships.

Validate graph completeness, consistency, accuracy, and semantic integrity.

Implement procedures for resolving conflicting information, incomplete relationships, and inconsistent entity attributes.

Optimize graph storage, indexing, traversal, and query performance.

Collaborate with data engineers, machine learning specialists, architects, and business stakeholders.

Establish data lineage, provenance tracking, version control, and knowledge graph governance procedures.

Maintain technical documentation covering graph schemas, ontologies, data sources, transformation rules, and validation methods.

Recommend improvements to knowledge graph quality, scalability, and interoperability.

Qualifications and Experience

Bachelor's or master's degree in Computer Science, Information Systems, Data Science, Artificial Intelligence, Knowledge Management, or a related discipline.

Significant professional experience in knowledge graph construction, graph data engineering, semantic technologies, or data integration.

Strong understanding of graph theory, knowledge representation, entity modeling, and semantic relationships.

Practical experience with graph databases such as Neo4j, Amazon Neptune, or equivalent platforms.

Knowledge of RDF, OWL, RDFS, and ontology development principles.

Proficiency in Python and relevant data processing or graph libraries.

Experience with SPARQL, Cypher, or other graph query languages.

Understanding of entity resolution, record linkage, and data deduplication methodologies.

Familiarity with natural language processing and automated information extraction.

Experience integrating data from relational databases, APIs, documents, and heterogeneous data sources.

Knowledge of data governance, metadata management, data lineage, and semantic interoperability.

Ability to evaluate graph quality, identify inconsistencies, and improve data reliability.

Strong analytical reasoning, problem-solving, and technical documentation skills.

Excellent communication and stakeholder collaboration abilities.

Ability to manage complex technical projects independently in a fully remote environment.

What We Offer

100% remote working arrangement within the stated employment framework.

Competitive compensation based on qualifications and professional experience.

Opportunities to work on advanced knowledge graph and semantic data initiatives.

Professional development and continuous learning opportunities.

Collaborative environment with international and multidisciplinary teams.

How to ApplyInterested candidates should submit an updated CV highlighting their experience in knowledge graph construction, ontology engineering, graph databases, semantic technologies, and data integration.

Application Subject: Application – Senior Knowledge Graph Construction Specialist (UAE Remote)

Candidates should confirm applicable employment arrangements, residency requirements, and work authorization before accepting an offer.