Python Developer Jobs - Jeddah Saudi

Role Purpose Drive AI adoption across the SP&I by identifying automation opportunities, developing solutions using LLMs (including Microsoft Copilot), and transforming business processes into scalable workflows.<br>Key Responsibilities· Analyze business processes and identify AI opportunities· Design and implement AI-driven solutions· Build internal tools for reporting and analytics· Collaborate with cross-functional teams· Prioritize AI use cases and execute pilots· Measure ROI and ensure governance<br>Required Skills Technical:· Python· APIs integration· Data handling (Pandas, SQL)· Prompt engineering· Automation tools· Microsoft Copilot experience· Azure AI services familiarity<br>Business:· Process understanding· Problem solving· Communication<br>Qualifications Required:· Bachelor’s degree in Computer Science, Software Engineering, Data Science, Artificial Intelligence, Information Systems, or Computer Engineering<br>Alternative Backgrounds (with AI experience):· Business Analytics· Industrial Engineering· Electrical Engineering<br>Preferred:· Master’s degree in Artificial Intelligence, Data Science, or Machine Learning<br>Certifications (Nice to Have):· Microsoft Azure AI certifications· Machine Learning or Data Science certifications· Hands-on experience with Microsoft Copilot

This is a remote position. About the role<br>SiFi is a B2B spend management platform operating under SAMA regulation. We move fast and we decide with data, which means someone has to build the reporting layer everyone relies on and then go digging when the numbers look wrong.<br>This role does both. You will own the dashboards that the business runs on, and you will be the person who takes an ambiguous question and comes back with an answer people can act on.<br>What you'll do<br> Build and maintain dashboards across spend, card operations, support, and GTM. Own them end to end: definitions, data quality, refresh reliability.<br> Write SQL directly against our core banking database and other production sources. Most of the interesting work starts here.<br> Run deep dives on demand: decline code patterns, cohort behaviour, funnel drop-offs, campaign performance, anomalies flagged by ops.<br> Turn findings into decisions. A clear recommendation with a stated confidence level beats a beautiful chart with no conclusion.<br> Define and document metrics so the same number means the same thing across teams.<br> Support regulatory and internal reporting where analytics is the input.<br> Automate the repetitive parts. If you're pulling the same extract every week, build it once and stop.<br> <br> <br><br>Requirements<br><br>What we're looking for<br>Required<br> Strong SQL. You can write and debug complex joins, window functions, and CTEs against a large transactional schema without hand-holding.<br> Experience building dashboards in a BI tool (Metabase, Power BI, Tableau, Looker, or similar).<br> Python or R for analysis beyond what SQL handles cleanly.<br> Ability to scope a vague business question into something answerable, and to say clearly when the data can't answer it.<br> Comfortable working directly with ops, product, and commercial stakeholders.<br> Nice to have<br> Fintech, payments, or banking background. Familiarity with card transaction data, authorisation flows, or scheme reporting is a strong advantage.<br> Exposure to KSA financial services and SAMA reporting requirements.<br> Workflow automation experience (n8n, Airflow, or similar).<br><br>Skills: **Required**<br><br>- 2-5 years of experience in a similar role.<br>- Strong SQL. You can write and debug complex joins, window functions, and CTEs against a large transactional schema without hand-holding.<br>- Experience building dashboards in a BI tool (Metabase, Power BI, Tableau, Looker, or similar).<br>- Python or R for analysis beyond what SQL handles cleanly.<br>- Ability to scope a vague business question into something answerable, and to say clearly when the data can't answer it.<br>- Comfortable working directly with ops, product, and commercial stakeholders.<br><br>**Nice to have**<br><br>- Fintech, payments, or banking background. Familiarity with card transaction data, authorisation flows, or scheme reporting is a strong advantage.<br>- Exposure to KSA financial services and SAMA reporting requirements.<br>- Workflow automation experience (n8n, Airflow, or similar).

We are looking for a Senior Data and infrastructure Enginee to join our Data Team and help transform our company into a truly data-driven organization. In this role, you will design and build scalable data solutions that empower business teams with reliable, high-quality data and actionable insights.<br><br>If you enjoy solving complex data challenges, building robust platforms, and working in an international and collaborative environment, we'd love to hear from you.<br><br>Responsibilties:<br><br>Design, develop, deploy and maintain scalable and open source data solutions that support our rapidly growing international business Build and evolve our data Architecture to enable advanced analytics, reporting, and data-driven decision-making across the organization Develop and optimize CDC / ETL/ELT pipelines for batch and near real-time data processing Support analytical and machine learning workflows by providing reliable and well-structured datasets Integrate data from a wide range of sources, including transactional databases, third-party platforms, and external APIs (e.g., Postgre SQL, MySQL, Google Analytics, Big Query, Google Ads, Adjust, and others) Collaborate closely with data engineers, analysts, data scientists, and business stakeholders to ensure data quality, consistency, and governance standards Monitor, troubleshoot, and continuously improve data platform performance, reliability, and scalability using managed and open source solutions Evaluate and recommend new technologies (Open source/ Managed), tools, and architectural approaches to enhance our data ecosystem Contribute to technical documentation, knowledge sharing, and best practices within the Data Team and the wider organization<br><br><br>Requirements<br><br>4+ years of professional experience in Data Engineering, Data Warehousing, Data Ops or a related field Good hands on experience in one of the major clouds . AWS preferred, Expert Hands on experience required on linux tools Should be able to deploy applications using docker on bare metal servers Bachelor's degree or higher in Computer Science, Mathematics, Physics, Engineering, Economics, or another quantitative discipline Strong expertise in SQL PSQL and relational database concepts, including data modeling and query optimization Experience designing and maintaining data warehouse architectures Hands-on experience with columnar databases and performance optimization techniques Experience working with workflow orchestration and distributed job scheduling tools, preferably Apache Airflow Solid programming skills in Python or Java, with a preference for Python Good understanding of Linux environments and scripting (Bash) Experience with modern cloud-based data platforms and analytical databases such as Click House, Star Rocks, or similar technologies Have experience working s3 compatible open source solution and managed solutions Familiarity with data integration, CDC/ETL/ELT frameworks, and large-scale data processing Strong communication skills in English

Hungerstation is part of the Delivery Hero Group, the world’s pioneering local delivery platform, our mission is to deliver an amazing experience—fast, easy, and to your door. We operate in around 65 countries worldwide. Headquartered in Berlin, Germany. Delivery Hero has been listed on the Frankfurt Stock Exchange since 2017 and is part of the MDAX stock market index.<br><br>Job Description<br><br>Hunger Station is hiring a Senior Data Engineer I to design, build, and scale our data platform and processing frameworks that power analytics, AI-driven applications, and business intelligence across the organization.<br><br>This role sits at the core of our data ecosystem focusing on scalability, reliability, and performance of data systems.<br><br>You Will Be Working On<br><br>Design, implement, and extend scalable data platforms and architectures Build and maintain high-performance data pipelines and data models using Big Query Optimize datasets and workloads for performance and cost efficiency Develop analytics-ready data models, semantic layers, and governed metrics Build backend services and APIs using Python or Java to support data applications Contribute to AI-enabled data use cases (e.g., automated insights, conversational analytics) Improve system reliability by addressing technical debt and scaling challenges Implement best practices across CI/CD, testing, monitoring, and deployment automation Manage and optimize cloud infrastructure supporting the data platform Collaborate with cross-functional teams to ensure data quality and engineering standards Ensure compliance with data governance, privacy, and security standards Improve monitoring frameworks and operational resilience of the data platform Support initiatives to enhance data quality, reliability, and system stability<br><br>Qualifications<br><br>5–8 years of experience in Data Engineering or similar roles Bachelor’s degree in Computer Science, Engineering, or related field Master’s or relevant certifications are a plus Strong experience building scalable distributed data systems Hands-on with GCP (Big Query preferred) Proven experience with ETL/ELT pipelines and data modeling Experience with modern data stack (Airflow, dbt, Looker) Strong SQL skills and understanding of relational data systems Experience with Python or Java for backend/data services Familiarity with Infrastructure-as-Code (Terraform preferred) Experience with CI/CD, testing, and monitoring practices Exposure to AI-driven data applications or LLM integrations is a plus<br><br>Additional Information<br><br>We offer relocation support globally to our permanent employees. Exchange ideas and meet 2000+ colleagues from different teams within Delivery Hero in our active guilds and through our global tech and product community. Develop your skills with your personal educational budget for conferences and external training. Access our e-learning platform Linked In and participate in our various in-house training programs And much more…

We are looking for a Senior Data and infrastructure Engineer (f/m/d) to join our Data Team and help transform our company into a truly data-driven organization. In this role, you will design and build scalable data solutions that empower business teams with reliable, high-quality data and actionable insights.<br><br>If you enjoy solving complex data challenges, building robust platforms, and working in an international and collaborative environment, we'd love to hear from you.<br><br>Responsibilities<br><br>Design, develop, deploy and maintain scalable and open source data solutions that support our rapidly growing international business Build and evolve our data Architecture to enable advanced analytics, reporting, and data-driven decision-making across the organization Develop and optimize CDC / ETL/ELT pipelines for batch and near real-time data processing Support analytical and machine learning workflows by providing reliable and well-structured datasets Integrate data from a wide range of sources, including transactional databases, third-party platforms, and external APIs (e.g., Postgre SQL, MySQL, Google Analytics, Big Query, Google Ads, Adjust, and others) Collaborate closely with data engineers, analysts, data scientists, and business stakeholders to ensure data quality, consistency, and governance standards Monitor, troubleshoot, and continuously improve data platform performance, reliability, and scalability using managed and open source solutions Evaluate and recommend new technologies (Open source/ Managed), tools, and architectural approaches to enhance our data ecosystem Contribute to technical documentation, knowledge sharing, and best practices within the Data Team and the wider organization<br><br><br>Requirements<br><br>4+ years of professional experience in Data Engineering, Data Warehousing, Data Ops or a related field Good hands on experience in one of the major clouds . AWS preferred, Expert Hands on experience required on linux tools Should be able to deploy applications using docker on bare metal servers Bachelor's degree or higher in Computer Science, Mathematics, Physics, Engineering, Economics, or another quantitative discipline Strong expertise in SQL PSQL and relational database concepts, including data modeling and query optimization Experience designing and maintaining data warehouse architectures Hands-on experience with columnar databases and performance optimization techniques Experience working with workflow orchestration and distributed job scheduling tools, preferably Apache Airflow Solid programming skills in Python or Java, with a preference for Python Good understanding of Linux environments and scripting (Bash) Experience with modern cloud-based data platforms and analytical databases such as Click House, Star Rocks, or similar technologies Have experience working s3 compatible open source solution and managed solutions Familiarity with data integration, CDC/ETL/ELT frameworks, and large-scale data processing Strong communication skills in English

We are looking for a Data Warehouse Engineer (f/m/d) to join our Data Team and help transform our company into a truly data-driven organization. In this role, you will design and build scalable data solutions that empower business teams with reliable, high-quality data and actionable insights.<br><br>If you enjoy solving complex data challenges, building robust platforms, and working in an international and collaborative environment, we'd love to hear from you.<br><br>Responsibilities:<br><br>Design, develop, and maintain scalable data warehouse solutions that support our rapidly growing international business Build and evolve our enterprise data warehouse to enable advanced analytics, reporting, and data-driven decision-making across the organization Develop and optimize ETL/ELT pipelines for batch and near real-time data processing Support analytical and machine learning workflows by providing reliable and well-structured datasets Integrate data from a wide range of sources, including transactional databases, third-party platforms, and external APIs (e.g., Google Analytics, Big Query, Google Ads, Adjust, Postgre SQL, MySQL, and others) Collaborate closely with data engineers, analysts, data scientists, and business stakeholders to ensure data quality, consistency, and governance standards Monitor, troubleshoot, and continuously improve data platform performance, reliability, and scalability Evaluate and recommend new technologies, tools, and architectural approaches to enhance our data ecosystem Contribute to technical documentation, knowledge sharing, and best practices within the Data Team and the wider organization<br><br><br>Requirements<br><br>2+ years of professional experience in Data Engineering, Data Warehousing, or a related field Bachelor's degree or higher in Computer Science, Mathematics, Physics, Engineering, Economics, or another quantitative discipline Strong expertise in SQL and relational database concepts, including data modeling and query optimization Experience designing and maintaining data warehouse architectures Hands-on experience with columnar databases and performance optimization techniques Experience working with workflow orchestration and distributed job scheduling tools, preferably Apache Airflow Solid programming skills in Python or Java, with a preference for Python Good understanding of Linux environments and scripting (Bash) Experience with modern cloud-based data platforms and analytical databases such as Click House, Star Rocks, or similar technologies Familiarity with data integration, ETL/ELT frameworks, and large-scale data processing Strong communication skills in English<br><br><br>What Makes You Successful<br><br>You are a proactive problem solver who enjoys tackling complex technical challenges You have a strong attention to detail and a passion for building reliable, high-quality data solutions You take ownership of your work and can operate independently when needed You are collaborative, curious, and enjoy sharing knowledge with others You think beyond immediate requirements and continuously look for opportunities to improve systems, processes, and technologies

Position Summary We are seeking a highly motivated and skilled Senior HPC Systems Administrator to join the KAUST Supercomputing Laboratory (KSL). The successful candidate will be responsible for managing an HPC cluster of approximately 600 CPU and GPU nodes, HPC storage systems, Infini Band and Ethernet networks, and day-to-day operational issues. The role provides broad support to researchers and end-users across computational science, engineering, big data analysis, and artificial intelligence/machine learning workloads.<br>Major Responsibilities – include but are not limited to - <br>Provide timely and effective user support via telephone, walk-in, email, and ticketing system for all inquiry types while maintain high customer service standards. Install, configure, and manage HPC subsystems including compute nodes, high-performance storage systems, Infini Band, Ethernet, and configuration management tools (e.g., Ansible, Puppet). Deploy and manage cluster management software, monitoring tools, and supporting services for operating HPC clusters. Install and administer the Slurm workload manager, manage QOS policies, accounts, accounting, and related automation scripts (Python and C++). Develop and maintain automation scripts in Bash and Python to streamline system administration tasks. Deploy and manage container environments (Singularity/Apptainer, Docker) for HPC workloads. Benchmark HPC system components like CPU, memory, Infini Band, and storage periodically to ensure optimal performance and identify tuning opportunities across hardware, driver, and application layers. Enforce security best practices including node hardening, kernel patching, and compliance across all systems. Manage parallel file systems such as Lustre, GPFS, Weka, or Vast, including performance tuning and capacity planning. Directly support research activities in computational science, engineering, data analysis, and AI/ML by working closely with faculty, researchers, collaboration partners, and industrial partners in collaboration with application support teams. Develop software tools and utilities as needed to support research projects on cluster systems and subsystems. Drive proof-of-concept projects and technology evaluations end-to-end and research industry best practices and advocate system enhancements. Coordinate with vendors and third-party service providers to report and resolve issues in a timely manner. Develop and maintain user documentation, standard operating procedures, and training materials in the internal wiki. Stay at the forefront of HPC advancements through continuous learning, industry conferences, and professional collaboration, while driving benchmarking initiatives to inform future hardware procurement.<br>Competencies<br>Expertise in supporting users of computational science and engineering, data analysis, and artificial intelligence applications and libraries in different HPC environments. Strong expertise in Linux system administration (RHEL, Rocky Linux, or Cent OS) in large-scale HPC environments. Proficiency with HPC applications and programming models (Fortran, C/C++, Python, MPI, Open MP, CUDA, Open ACC). Demonstrated track record of managing complex HPC systems, including parallel file systems, job schedulers, Infini Band/Ethernet networks, and monitoring systems. Experience with configuration management tools (Ansible, Puppet, or equivalent). Familiarity with computational science, data analysis, and AI/ML applications and libraries used in HPC environments. Knowledge of project management principles and practices. Demonstrated ability to support research activities in a highly collaborative HPC environment. Strong analytical, problem-solving, and decision-making skills. Proactively identifies and implements system improvements; takes initiative and sees tasks through to closure. Ability to manage multiple concurrent projects and deliver high-quality results within deadlines. Proven ability to collaborate cross-functionally with researchers, application teams, and vendors. Effective in multi-cultural, international work environments. Excellent verbal and written communication skills in English, including the ability to prepare and deliver technical reports and presentations.<br>Qualifications Education requirement, minimum: Bachelor’s or master’s degree in computer science/engineering, Information Systems, or equivalent<br>Experience Experience requirement, minimum: Five years of experience supporting large scale computing platforms and related subsystems. Experience troubleshooting complex hardware issues and documenting root cause analysis. Experience managing parallel storage systems (Lustre, GPFS, Weka, Vast, or similar). Experience benchmarking HPC system components (CPU, memory, Infini Band, storage). Experience administering workload managers/schedulers (Slurm, LSF, or PBS). Strong Linux system administration experience (RHEL, Rocky Linux, or Cent OS). Experience with configuration management tools such as Ansible or Puppet. Ability to coordinate with researchers, application support teams, and vendors to resolve complex issues and drive them to closure. Proven ability to collaborate cross-functionally and drive initiatives to completion. Familiarity with Kubernetes and container orchestration platforms would be desirable

Software Engineer / System Administrator – Blackboard LMS<br>We are looking for a Software Engineer / System Administrator with hands-on experience in Blackboard LMS to join our team.<br>Key Responsibilities:• Develop, customize, administer, and maintain Blackboard LMS and related applications.• Build and support integrations between Blackboard and other enterprise systems using APIs and web services.• Develop and maintain custom applications, extensions, and automation tools.• Support integrations with SIS, ERP, HR, CRM, identity management, and third-party learning systems.• Troubleshoot technical, system, and integration-related issues.<br>Qualifications & Skills:• Bachelor’s degree in Computer Science, Software Engineering, IT, or a related field.• 3–5 years of relevant experience.• Hands-on experience with Blackboard LMS / Learn Ultra is highly preferred.• Experience with REST APIs, JSON, XML, and Web Services.• Knowledge of Java, Java Script, Python, or C#.• Familiarity with SQL, LTI, SCORM, x API, SAML, OAuth, and Active Directory.<br>Interested candidates are welcome to apply or send their CV to f.mslaghor@gmail.com<br>#Hiring #Software Engineer #System Administrator #Blackboard LMS #EdTech #Higher Education #ITJobs

Tips: Provide a summary of the role, what success in the position looks like, and how this role fits into the organization overall.<br>Responsibilities Lead the technical design and implementation of AI and machine-learning components. Develop solutions for document extraction, financial line-item classification, mapping and analytics. Define model-selection, training, evaluation and deployment methodologies. Establish accuracy, confidence, explainability and human-review controls. Guide AI engineers and collaborate with data, MLOps, architecture and business teams. Support PoC experimentation and production model deployment. Qualifications Bachelor’s in Computer Science or AI; relevant certifications; minimum 5 years in AI/ML development. Bachelor’s degree in Computer Science, Artificial Intelligence or a related field. Minimum five years of experience in AI/ML development. Experience with document AI, OCR, NLP, Gen AI or structured data extraction. Strong Python and machine-learning framework experience. Relevant AI, cloud or machine-learning certifications preferred. Experience in banking, financial services or government projects is advantageous.

About the Company<br>Advanced technology and cybersecurity company (sirar) established by stc, the region’s ICT and digital services provider, sirar by stc is a cutting-edge cybersecurity provider that empowers organization to take control of their cyber capabilities and digital environments. As experts in business security and privacy. We offer a comprehensive range of solutions that help you to operate online safely, securely, and efficiently.<br>Responsibilities:Design, develop, and maintain enterprise-grade applications, APIs, and backend services using . NET Framework, . NET Core, C#, and Python. Build and implement automation solutions, system tools, and scripts to improve operational efficiency and service delivery. Develop, enhance, and maintain digital platforms including employee portals, customer portals, websites, and internal business applications. Create scalable and sustainable web applications following best practices, clean coding standards, and design patterns. Collaborate with QA, Dev Ops, Product Owners, Business Units, and stakeholders throughout the development lifecycle. Analyze business requirements and translate them into technical solutions and system enhancements. Integrate frontend components with backend services and APIs. Refactor legacy applications and contribute to modernization initiatives, including microservices adoption. Ensure application security, performance optimization, monitoring, logging, exception handling, and reliability. Conduct quality assurance activities, security testing, usability testing, and deployment preparation. Manage application enhancements, change requests, releases, and production support activities. Develop reporting capabilities through automation, standardization, and process improvement initiatives. Analyze user feedback, system performance, and operational data to enhance user experience and business outcomes. Identify system weaknesses and implement corrective actions and continuous improvements. Mentor junior developers and participate in code reviews and technical guidance.<br><br>Academic Qualification :Bachelor's degree in Computer Science, Software Engineering, Information Technology, Cybersecurity, or a related field.<br>Professional Certificate:Microsoft Certified: Azure Developer Associate (AZ-204) Microsoft Certified: Azure Solutions Architect Expert (AZ-305) Microsoft Certified: Dev Ops Engineer Expert (AZ-400) Microsoft Certified: Power Platform Developer Associate (PL-400) AWS Certified Developer – Associate AWS Certified Solutions Architect – Associate Certified Kubernetes Application Developer (CKAD) Docker Certified Associate (DCA) Scrum Master Certification (CSM/PSM) ITIL Foundation Certification Comp TIA Security+Microsoft Certified: Cybersecurity Architect Expert (Preferred) Relevant certifications in Software Development, Dev Ops, Cloud Computing, Automation, or Digital Enablement are highly desirable.<br><br>Years of Experience :5+ years in relevant experience.<br>Skills :. NET Framework, . NET Core, and C# Development Python Development & Automation ASP. NET MVC & Web Application Development RESTful APIs & System Integrations SQL Databases & Entity Framework Microservices Architecture Frontend Technologies (HTML, CSS, Java Script) CI/CD, Dev Ops, Docker & Cloud Platforms API Testing & Quality Assurance Process Automation & Digital Enablement Git, Azure Dev Ops & Version Control Application Security & Performance Optimization Business Analysis & Requirements Management Troubleshooting & Problem Solving Agile Methodologies & SDLCTechnical Leadership & Mentoring Excellent Communication & Stakeholder Management<br>Important Notice for Candidates:<br>By submitting your application, you confirm that you have read and understood sirar's Candidate Privacy Notice and agree to the processing of your personal data in accordance with it.

Abdulaziz Al‑Zaid Professional Consulting (AZ) is building a scalable B2B Saa S platform that digitizes and automates regulated, document-heavy professional workflows — from client intake and structured data capture to quality controls, approvals, and controlled report issuance — integrated with CRM, analytics, and enterprise systems.<br>We are hiring a hands‑on Senior Agentic AI Engineer to design and ship production‑grade LLM agent systems that automate real workflows (not demos). You will work closely with leadership and a lean engineering team to deliver AI capabilities that are measurable, reliable, secure, and commercially deployable.<br>What you’ll deliver (outcomes) Ship production LLM/agent capabilities that reduce manual effort across intake, validation, evidence extraction, drafting, QA checks, routing, and approvals. Build robust agentic workflows (tool use, routing, state management) with reliability patterns (timeouts, retries, fallbacks) and clear observability. Implement evaluation and quality measurement (offline tests + online monitoring) to continuously improve accuracy, safety, and cost performance. Package repeatable AI solutions that can be deployed internally and offered to clients as deliverables (scoping → delivery → measurable outcomes).<br>Key responsibilities Design and implement multi‑step / tool‑using LLM workflows (function calling, external APIs, RAG, structured outputs). Build reusable orchestration patterns (routing, memory/state, task decomposition, guardrails, error recovery). Own LLMOps: deployment, monitoring, prompt/version management, evaluation harnesses, cost/latency control. Integrate agents with business systems (CRM, document/report pipelines, approvals, analytics) using secure APIs and role/permission models. Establish engineering standards for AI delivery: testing, reliability, logging, incident response, and measurable KPIs (quality, cycle time, adoption). Support client-facing AI delivery where needed (requirements, estimation, proof, rollout).<br>Must‑have (we will screen for this) Proven track record shipping LLM/agent systems into production (not only POCs). Strong experience with tool‑using agents: function calling, API integrations, RAG, structured outputs, and reliability patterns. Hands‑on Python development (production code, services, testing, integrations). Strong understanding of backend systems, APIs, auth, data stores, and production operations. Ability to work fast with a lean team and own delivery end‑to‑end.<br>Strong advantage Experience in regulated / auditable workflows (approvals, audit trails, evidence, controlled issuance). Azure-based delivery experience (or equivalent cloud), including CI/CD and monitoring. Familiarity with agent orchestration frameworks (Lang Graph / Semantic Kernel / Auto Gen / Crew AI or similar). Experience building AI-enabled products with evaluation and measurement discipline.<br>Location Riyadh, Saudi Arabia — On‑site (Full‑Time) Candidates outside Riyadh are welcome if able to relocate.<br>How to apply Email jobs@azv.sa with:CVLinks or brief evidence of shipped work (Git Hub, demos, case summaries — redacted if needed) Your monthly all‑in compensation expectation + notice period Email subject: Senior Agentic AI Engineer – Riyadh#Hiring #Riyadh #Saudi Arabia #AIEngineer #LLM #Gen AI #Agentic AI #Multi Agent #RAG #Function Calling #Python #Azure #Saa S #B2B

As a Threat Detection COOP at COGNNA, you'll design high-impact detection strategies, build powerful automation, and elevate SOC operations to a world-class standard. You'll also mentor rising cyber talent and collaborate with teams across threat intel, incident response, and platform engineering.<br><br>???? Advanced Threat Detection Engineering<br><br>Build high-fidelity correlation rules and behavioral detections within the COGNNA security platforms Translate adversary TTPs (MITRE ATT&CK), threat intel, and vulnerability data into actionable logic Identify detection gaps and introduce new data sources to cover evolving threat landscapes Automate detection testing and maintain detection quality over time<br><br>⚙️ Platform Engineering & Optimization<br><br>Lead architecture and optimization of XDR, SIEM, and SOC tech stacks for scale and resilience Streamline log ingestion pipelines — from parsing to normalization and enrichment Build scripts and automations (Python, Power Shell) to enhance SOC efficiency Integrate tools across the SOC stack to enable seamless workflows and response. <br><br>????️‍♂️ Threat Hunting & Incident Response<br><br>Collaborate with intel and IR teams to enrich detection use cases and support threat hunts Provide Tier-3+ support for incident investigations and post-mortem analysis<br><br>???? Mentorship & SOC Maturity<br><br>Improve SOC playbooks, SOPs, and detection engineering workflows Stay updated on global and regional threats — and evolve detection accordingly Ensure compliance alignment (e.g., NCA ECC, SAMA CSF)<br><br>Requirements<br><br>Minimum Requirements (Must Haves):<br><br>Education: Currently enrolled in their final year of a Bachelor's degree in Computer Science, Cybersecurity, Information Technology, or a closely related field, with graduation planned within or immediately following the 6-month co-op Foundational Security Knowledge: Basic understanding of cybersecurity concepts, including common attack vectors, the Windows/Linux operating system internals, and network protocols Programming/Scripting Basics: Familiarity with writing simple scripts in Python or Power Shell to automate repetitive tasks or parse data Log & System Familiarity: Basic understanding of what logs are (e.g., Windows Event Logs, Syslog) and an interest in how they are collected and analyzed Duration: Availability to commit to a full-time (or near full-time, depending on university rules) 6-month continuous Co-op assignment<br><br>Preferred Qualifications (Nice to Haves / Big Plusses):<br><br>Framework Familiarity: Conceptual knowledge of the MITRE ATT&CK framework and how it maps to adversary behaviors Hands-on Exposure: Previous experience using SIEM/XDR platforms, or building a home lab (e.g., Splunk, Elastic, Wireshark) Regulatory Awareness: A general awareness of cybersecurity frameworks or local compliance standards (like NCA ECC or SAMA CSF) Soft Skills: Strong analytical mindset, a high level of curiosity to dig into threat trends, and excellent written documentation skills<br><br>Benefits<br><br>???? Impact that Matters - Build products that shape the future of cybersecurity and protect organizations globally.<br><br>???? On-Site Collaboration - Be at the heart of innovation in our Riyadh office, working side by side with passionate experts.<br><br>???? Continuous Growth - Access to certifications, trainings, and opportunities to sharpen your expertise.<br><br>???? Culture of Trust - We empower talent, encourage ownership, and celebrate real outcomes.

CORE MISSION:Harness AI to scale our creative production. Build, optimize, and evolve our AI workflows and capabilities to deliver faster, better results.<br>CORE RESPONSIBILITIES:<br>- Build and maintain AI skills/capabilities for creative tasks- Optimize and refine Claude prompts for high-quality outputs- Develop agentic workflows and automation using Claude and other AI tools- Harness new AI models and Claude features as they become available- Evaluate and integrate new AI platforms and capabilities- Test, measure, and improve performance across all workflows- Identify bottlenecks and implement solutions for speed and reliability- Document best practices and create internal runbooks- Stay current on AI developments and recommend innovations<br>SKILLS REQUIRED:- Claude expert—deep expertise with Claude API, models, and capabilities- Strong understanding of how to work with large language models- Experience building with APIs or scripting (Python/Node.js)- Ability to develop, test, and iterate on AI solutions- Systems thinking and process optimization mindset- Attention to detail on quality- Problem-solving and experimentation skills<br>NICE-TO-HAVE:- Background in Dev Ops, automation, or workflow optimization- Experience with agentic AI or multi-step workflows- Experience building internal tools- Familiarity with multiple AI platforms and tools

Company Name: Mastek Onsite - Ready to travel onsite AMEA – Riyadh Location.<br>Experience Level – 5 to 8 Years Experience in SAP Business Objects (SAP BO) along with Power BI, as the customer has a roadmap to migrate reports from SAP BO to Power BI. Python expertise is also required. Core Banking Experience Must. Dashboard & Report Development — Design, develop, and maintain interactive Power BI dashboards and reports that convert complex data into clear, decision-ready insights. Data Modelling & Transformation — Integrate multiple data sources, build efficient data models, and apply Power Query and DAX to ensure accuracy, consistency, and reporting-readiness. Governance & Security — Implement Row-Level Security, enforce data governance standards, and ensure all reports meet compliance and audit requirements. Performance Optimisation — Monitor and tune report and dataset performance to maintain fast load times, reliable refresh cycles, and a stable analytics environment. Stakeholder Engagement — Collaborate with business units to capture requirements, iterate on designs, and ensure delivered solutions drive real adoption and value. Continuous Improvement — Proactively identify enhancements, retire redundant reports, and keep analytics outputs aligned with evolving business and data platform needs. Platform Administration — Manage Power BI Service workspaces, datasets, gateway configuration, and production deployments to ensure a well-governed analytics environment.

TMC Middle East is currently engaged in a project with one of our prestigious customers in KSA. We are seeking a highly capable Business Data Analyst (Arabic) expert to help TMC to deliver this assignment.<br>About the Role:Position: Data Analyst Location: Remote Experience: 5+ Years Preferred: Arabic Speakers only<br>Qualifications:<br>Fluency in Arabic (spoken and written) is a must-have for this role. Minimum 5+ years of experience in a data analyst or business intelligence role. Hands-on experience building data preparation workflows in Alteryx. Proficiency in Python for data analysis (e.g. pandas, Num Py). Experience working with Google Cloud Platform, particularly Big Query. Strong SQL skills for querying and aggregating data. Experience creating dashboards and reports (e.g., Power BI, or Tableau). Strong analytical thinking and attention to detail. Ability to communicate insights clearly to both technical and non-technical audiences.<br>Preferred Qualifications Alteryx Designer certification. Experience with statistical analysis or basic predictive modelling. Familiarity with version control (Git) and collaborative analytics workflows. Relevant degree in a quantitative or business-related field.<br><br>Please share your CV with the title of Data Analyst Mail ID : vigneshwari.sivalingam@tmc-employeneurs.com

TMC Middle East is currently engaged in a project with one of our prestigious customers in KSA. We are seeking a highly capable Business Data Analyst (Arabic) expert to help TMC to deliver this assignment.<br>About the Role:Position: Data Analyst Location: Remote Experience: 5+ Years Preferred: Arabic Speakers only<br>Qualifications:<br>Fluency in Arabic (spoken and written) is a must-have for this role. Minimum 5+ years of experience in a data analyst or business intelligence role. Hands-on experience building data preparation workflows in Alteryx. Proficiency in Python for data analysis (e.g. pandas, Num Py). Experience working with Google Cloud Platform, particularly Big Query. Strong SQL skills for querying and aggregating data. Experience creating dashboards and reports (e.g., Power BI, or Tableau). Strong analytical thinking and attention to detail. Ability to communicate insights clearly to both technical and non-technical audiences.<br>Preferred Qualifications Alteryx Designer certification. Experience with statistical analysis or basic predictive modelling. Familiarity with version control (Git) and collaborative analytics workflows. Relevant degree in a quantitative or business-related field.<br><br>Please share your CV with the title of Data Analyst Mail ID : vigneshwari.sivalingam@tmc-employeneurs.com

About UsAbdul Latif Jameel United Finance Company is a closed joint stock company licensed by the Saudi Central Bank (SAMA) to operate in financial leasing, productive assets financing, consumer products financing, and real estate financing. We provide a wide range of financing options for individuals and SMEs, including cash financing, all types of cars, heavy equipment, household and electronic appliances, as well as real estate financing. Our offerings are delivered through various Shariah-compliant financial solutions such as financial leasing, Murabaha, and Tawarruq, accessible via our widespread branch network across the Kingdom. We are committed to supporting entrepreneurs through Bab Rizq Jameel Financing programs and strive to be the leading financing destination for small and medium enterprises.<br>Position title Platform Engineer<br>Position Description Design, implement, and maintain scalable, secure, and high-performing infrastructure platforms to ensure system reliability, availability, and disaster recovery, supporting business-critical applications and services.<br>Key Accountabilities Provide recommendations for infrastructure and server hardware specifications during procurement. Participate in evaluation and selection of servers, storage, and infrastructure solutions. Develop and maintain automation scripts and tools using approved IT automation platforms. Monitor system performance, availability, and security, providing actionable insights. Oversee hardware delivery processes, including inventory control and installation readiness.<br>Key Activities Infrastructure & Platform Management Provision and manage infrastructure components including servers, storage, networking, and cloud environments. Understand data center requirements for hosting infrastructure and ensure proper deployment readiness. Gather and analyze business requirements to define optimal infrastructure specifications and configurations. Installation & Configuration Develop and execute installation and configuration plans for servers and platform components. Perform OS installation, patching, and software configuration aligned with best practices. Execute and validate installation checklists and acceptance testing. Monitoring & Performance Optimization Monitor infrastructure performance and ensure availability, reliability, and capacity planning. Generate and analyze performance reports to recommend upgrades or improvements. Perform performance tuning and optimization of platform components. Security & Compliance Ensure compliance with security standards, policies, and audit requirements. Implement and support access control, system hardening, and vulnerability management. Participate in data center and infrastructure security initiatives. Backup & Disaster Recovery Implement and maintain data backup solutions and disaster recovery processes. Ensure data integrity, backup validation, and recovery readiness. Automation & Efficiency Develop scripts (Power Shell, Bash, Python) to automate deployment, monitoring, and operational tasks. Improve system efficiency and reduce manual intervention through automation. Operations & Support Provide ongoing support for infrastructure systems and resolve incidents. Participate in root cause analysis and preventive action implementation. Documentation & Reporting Maintain accurate documentation of infrastructure configurations and changes. Prepare reports on system performance, incidents, and capacity utilization. Ensure proper documentation for change management and audit compliance. Technical Skills Experience with Windows/Linux Server Administration Knowledge of virtualization platforms (VMware, Hyper-V) Familiarity with cloud platforms (Azure, AWS preferred) Experience in storage systems and backup solutions Proficiency in automation and scripting (Power Shell, Python, Bash) Understanding of networking fundamentals Experience with monitoring tools (e.g., SCOM, Solar Winds, etc.) Knowledge of disaster recovery and high availability concepts<br>Qualifications Bachelor’s degree in Information Technology, Computer Science, or related field<br>Work Experience Minimum 2–4 years of experience in infrastructure engineering, platform engineering, or system administration

Job Purpose The Data Analyst is responsible for analyzing, validating, and transforming organizational data into meaningful insights that support strategic, clinical, operational, and financial decision-making. The role ensures high data quality, accuracy, and consistency while enabling data-driven culture across the organization in alignment with the Data Management Office (DMO) frameworks and governance standards. Roles and Responsibilities:Organizational Accountabilities:Analyze large datasets to extract meaningful insights and support hospital operations. Create regular reports and dashboards for all domains in the corporate. Work with stakeholders to understand data needs and translate them into actionable reports. Ensure data accuracy and integrity in all analytical outputs. Support ad-hoc data requests from leadership teams. Deliver accurate, timely, and actionable insights. Ensure compliance with organizational data policies and healthcare regulations. Maintain documentation for reports, dashboards, and analytical models. Continuously improve analytical processes and methodologies. Support enterprise initiatives related to performance management and strategic planning. Functional Accountabilities:Data Analysis & Insights Analyze large and complex datasets from clinical, operational, and financial systems. Identify trends, patterns, risks, and opportunities to support executive decision-making. Perform ad-hoc and recurring analysis as requested by leadership and business units.2. Reporting & Dashboards Design, develop, and maintain dashboards and reports using BI tools (Power BI, Tableau). Ensure reports meet business requirements and are user-friendly. Automate recurring reports to improve efficiency and reduce manual effort.3. Data Quality & Integrity Validate data accuracy, completeness, and consistency across data sources. Identify data quality issues and work with Data Owners and Data Stewards to resolve them. Support implementation of data quality rules and monitoring mechanisms.4. Stakeholder Engagement Gather and document business requirements from clinical, operational, and financial stakeholders. Translate business needs into analytical models and reporting solutions. Act as a bridge between business teams and technical teams.5. Data Governance Support Support DMO initiatives related to data governance, data standards, and metadata. Ensure analytical outputs comply with data governance policies and healthcare regulations. Assist in maintaining data definitions, KPIs catalogs, and business glossaries.6. Advanced Analytics & Enablement Use SQL, Python, or R for advanced analysis when required. Support predictive and descriptive analytics initiatives. Promote data literacy and best practices across the organization.<br><br>Job Qualifications and Requirements:4–10 years of experience in data analytic preferably within the healthcare sector. Strong knowledge of enterprise data architecture frameworks (TOGAF, DAMA-DMBOK). Experience with healthcare systems (HIS, EMR, LIS, RIS, ERP) and data platforms. Strong skills in statistical analysis and data visualization. Proficiency in data analysis tools (e.g., Excel, Power BI, Tableau). Certification in Data Analysis (e.g., Microsoft Certified Data Analyst). Proficiency in SQL and statistical software (e.g., R, Python). Familiarity with healthcare data standards and reporting requirements. Education and Certifications:Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or related field (required). TOGAF Certified (Enterprise Architecture) (highly desirable). CDMP (Certified Data Management Professional) (preferred). Skills:Proven expertise in healthcare and government sectors, with strategic planning capabilities. Strong skills in communication, mediation, and conflict resolution. Deep understanding of data architecture, analysis, and visualization. Excellent administrative and organizational skills. Good communication skills in Arabic and English (verbal and written). Strong proficiency in Microsoft Office (Word, Excel, Power Point, Outlook). Ability to prepare clear reports, meeting minutes, and maintain accurate records. Attitude:Strong Work Ethic Dependability and Responsibility Possessing a Positive Attitude Adaptability Honesty and Integrity Self-Motivated Motivated to Grow and Learn Strong Self-Confidence

Job Summary:<br> Maharah Human Resources Company is seeking a skilled Artificial Intelligence Engineer to design, develop, and implement AI-based solutions to enhance business processes and products. The ideal candidate will have a strong background in machine learning, data analysis, and software development, with the ability to translate complex data into actionable insights. Key Responsibilities: Design, develop, and deploy AI models and algorithms to solve real-world problems Collaborate with cross-functional teams to gather requirements and deliver AI-powered solutions Conduct research and stay updated with the latest advancements in AI and machine learning Analyze large datasets to extract meaningful patterns and insights Optimize existing AI models for performance and scalability Write clean, efficient, and well-documented code Ensure AI systems comply with ethical guidelines and data privacy standards <br><br>Requirements<br><br> Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or related field Proven experience in AI/ML development and deployment Strong programming skills in Python, R, or similar languages Familiarity with machine learning frameworks such as Tensor Flow, PyTorch, or Keras Experience with data preprocessing, feature engineering, and model evaluation Good understanding of algorithms, statistics, and data structures Strong problem-solving skills and analytical mindset Ability to work collaboratively in a team-oriented environment

Greetings from Linnk Group!<br>Role Summary We are looking for an experienced Team Lead – Dev Ops Engineering to lead enterprise Dev Ops initiatives, drive CI/CD automation, Infrastructure as Code (IaC), and Dev Sec Ops practices while ensuring secure, scalable, and reliable software delivery across banking platforms.<br>Job Title: Team Lead – Dev Ops Engineering Location: Riyadh, Saudi Arabia Contract: Yearly Renewable<br>Key Responsibilities Lead and mentor the Dev Ops team. Design and manage CI/CD pipelines using Git Lab, Jenkins, and Argo CD. Implement Infrastructure as Code using Terraform, Ansible, Helm, and Kustomize. Automate infrastructure provisioning and application deployments. Implement Dev Sec Ops using Sonar Qube, Checkmarx, and Nexus. Manage containerized environments using Docker and Open Shift. Collaborate with Development, Infrastructure, and Security teams to improve software delivery.<br>Requirements7+ years of Dev Ops/Infrastructure Automation experience. Proven experience leading Dev Ops teams, preferably in Banking/Financial Services. Strong hands-on experience with Git Lab, Jenkins, Argo CD, Terraform, Ansible, Docker, Open Shift, Python, Bash, and Groovy. Good knowledge of Git Ops, CI/CD, Dev Sec Ops, Agile, SDLC, blue/green deployments, and canary releases. Excellent leadership, communication, and problem-solving skills.<br>???? Interested candidates please share updated CV at ahammed.shabeen@linnk.com<br>Click to know more: https://lnkd.in/p/gWr32k Cy<br>Regards,