Python Developer Jobs in Saudi

<p>About the role : Integration Engineer IBM DataPower &amp; CP4I : 8+ years : Riyadh Saudi Arabia : 6 Months (Extendable) : Currently staying in Saudi with valid Iqama</p><p><strong>Deep expertise in AAA, OAuth2/SAML, JWT, TLS/mTLS, GatewayScript, and XSLT.</strong></p><p><strong>Strong hands-on experience with API Connect, MQ, App Connect, and Event Streams.</strong></p><p><strong>Proven ability to design, build, and secure APIs using OpenAPI/Swagger, with proficiency in XML/JSON transformations and protocol bridging.</strong></p><p><strong>Experience in full API lifecycle management, policy enforcement, developer portal setup, and usage analytics.</strong></p><p><strong>Skilled in OpenShift-integrated CP4I deployments, certificate management, networking, API security, and observability (logging/monitoring/tracing).</strong></p><p><strong>Automation &amp; Scripting: Familiarity with scripting (Shell, Python) and CI/CD pipelines for integration artifacts.</strong></p><p>Preferred Qualifications Experience with ADFS, Nafath, or other national SSO frameworks. Knowledge of Kafka/Event Streams and asynchronous messaging patterns. IBM DataPower or CP4I certification is a plus.</p><p>Key responsibilities Experience in full API lifecycle management</p><p>What we're looking for Deep expertise in AAA, OAuth2/SAML, JWT, TLS/mTLS, GatewayScript, and XSLT.</p><p><strong>Desired Candidate Profile</strong></p><p>Deep expertise in AAA, OAuth2/SAML, JWT, TLS/mTLS, GatewayScript, and XSLT. Strong hands-on experience with API Connect, MQ, App Connect, and Event Streams. Proven ability to design, build, and secure APIs using OpenAPI/Swagger, with proficiency in XML/JSON transformations and protocol bridging. Experience in full API lifecycle management, policy enforcement, developer portal setup, and usage analytics. Skilled in OpenShift-integrated CP4I deployments, certificate management, networking, API security, and observability (logging/monitoring/tracing). Automation &amp; Scripting: Familiarity with scripting (Shell, Python) and CI/CD pipelines for integration artifacts.</p><p>Preferred Qualifications Experience with ADFS, Nafath, or other national SSO frameworks. Knowledge of Kafka/Event Streams and asynchronous messaging patterns. IBM DataPower or CP4I certification is a plus.</p>

<p>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment. We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks. You'll create challenging tasks and evaluation criteria within realistic simulated environments:</p><p>Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history</p><p>Design tasks from intermediate states of these environments - craft the prompt, define what "solved" means, and ensure the task is solvable by an AI agent</p><p>Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient</p><p>Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust</p><p>What this is NOT:</p><ul><li>Not data labeling</li><li>Not prompt engineering</li><li>Not writing code from scratch - the agent writes most of the code; you guide and evaluate</li></ul><p>What we look for:</p><ul><li>5+ years in software development</li><li>Core stack: Python (FastAPI), JavaScript/TypeScript (React), Docker, Postgres, Kafka, Redis</li><li>Experience writing tests (functional, integration)</li><li>English proficiency - B2+</li></ul><p><br></p><p><strong>Desired Candidate Profile</strong></p><ul><li>A Master's Degree in Computer Science, Software Engineering, Data Science / Data Analytics, Artificial Intelligence / Machine Learning, Computational Linguistics / Natural Language Processing (NLP), Information Systems or other related fields. Bachelor's degree is accepted if only candidate has 5 years of experience in the field.</li><li>Candidates should have a minimum of 3 years of professional experience in related roles or domain - specifically for QA-automation/testing or cybersecurity roles</li><li>5+ years in software development</li><li>Core stack: Python (FastAPI), JavaScript/TypeScript (React), Docker, Postgres, Kafka, Redis</li><li>Experience writing tests (functional, integration)</li><li>English proficiency - B2+</li></ul>

<h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">About the Role</h3> <p style="margin:0 0 12px; ************;">Jobs AI is seeking a <strong style="font-weight:700;">Data Scientist AI/ML</strong> to work on a contract basis for one of our clients in Saudi Arabia. This role focuses on developing and deploying machine learning models to improve predictive accuracy across various client datasets. The successful candidate will collaborate with cross-functional teams to identify and implement data-driven solutions, contributing to the automation of workflows.</p> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Key Responsibilities</h3> <ul style="margin:0 0 12px; padding-inline-start:24px; list-style-type:disc; list-style-position:outside;"> <li style="margin:0 0 6px;">Design, train, and optimize machine learning models for classification, regression, and clustering tasks.</li> <li style="margin:0 0 6px;">Preprocess and analyze large-scale structured and unstructured datasets to extract actionable insights.</li> <li style="margin:0 0 6px;">Implement and maintain MLOps pipelines for model deployment, monitoring, and retraining.</li> <li style="margin:0 0 6px;">Develop and document reproducible experiments using Python, Jupyter notebooks, and version control systems.</li> <li style="margin:0 0 6px;">Present findings and recommendations to stakeholders through clear visualizations and technical reports.</li> </ul> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Required Experience and Qualifications</h3> <p style="margin:0 0 12px; ************;">Candidates for this position should have <strong style="font-weight:700;">2-5 years of experience</strong> in data science or machine learning. Essential qualifications include practical experience in designing, training, and deploying machine learning models, as well as proficiency in data preprocessing and analysis. Familiarity with MLOps principles and tools, including Python, Jupyter notebooks, and version control systems, is required.</p> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Work Environment and Opportunity</h3> <p style="margin:0 0 12px; ************;">This contract role offers the opportunity to work with a global leader in the Software Development industry. The position provides exposure to cutting-edge tools and fosters collaboration with experts in data science and engineering, contributing directly to the scalability of AI-driven solutions.</p> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Compensation</h3> <p style="margin:0 0 12px; ************;">The compensation for this contract position is offered at a rate of <strong style="font-weight:700;">$30 to $100 per hour</strong>, depending on experience and qualifications.</p> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Equal Opportunity Employer</h3> <p style="margin:0 0 12px; ************;">Jobs AI is committed to equal opportunity employment. We hire based on skills and expertise, welcoming all qualified candidates regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.</p>

<h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">About the Role</h3> <p style="margin:0 0 12px; ************;">Hire Feed is seeking a <strong style="font-weight:700;">Machine Learning Engineer</strong> for one of its clients. This is a contract position focused on designing, developing, and deploying machine learning models to address complex business challenges. The role offers a competitive hourly rate ranging from <strong style="font-weight:700;">$20 to $90</strong>, based on experience and qualifications.</p> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Role Context and Contribution</h3> <p style="margin:0 0 12px; ************;">The Machine Learning Engineer will collaborate with cross-functional teams to integrate AI solutions into existing systems and optimize model performance. This position contributes to the development of AI-driven solutions that enhance operational efficiency and customer experiences within a global leader in the technology industry.</p> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Key Responsibilities</h3> <ul style="margin:0 0 12px; padding-inline-start:24px; list-style-type:disc; list-style-position:outside;"> <li style="margin:0 0 6px;">Design and implement machine learning models using Python, TensorFlow, or PyTorch to address specific business problems.</li> <li style="margin:0 0 6px;">Collaborate with data scientists and software engineers to deploy models into production environments.</li> <li style="margin:0 0 6px;">Optimize and fine-tune models for scalability, accuracy, and efficiency in real-world applications.</li> <li style="margin:0 0 6px;">Develop and maintain pipelines for data preprocessing, feature engineering, and model training.</li> <li style="margin:0 0 6px;">Conduct experiments to evaluate model performance and iterate on improvements based on business needs.</li> </ul> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Required Experience and Skills</h3> <p style="margin:0 0 12px; ************;">Candidates should possess <strong style="font-weight:700;">2 to 5 years</strong> of experience in a relevant machine learning engineering role. The position requires demonstrated expertise in Python, various machine learning frameworks, and cloud platforms.</p> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Work Environment and Impact</h3> <p style="margin:0 0 12px; ************;">This role involves working with a global leader in the technology industry, contributing to the development of AI-driven solutions. The engineer will focus on solving high-impact problems using cutting-edge tools and methodologies.</p> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Equal Opportunity Employer</h3> <p style="margin:0 0 12px; ************;">Hire Feed is an equal opportunity employer. Hiring decisions are based on skills and expertise. All qualified candidates are welcome, irrespective of background, prior experience, or employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.</p>

<h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">About the Opportunity</h3> <p style="margin:0 0 12px; ************;">Hire Feed is recruiting for a <strong style="font-weight:700;">Machine Learning Engineer</strong> to join one of our clients in Saudi Arabia. This is a contract position focused on designing, developing, and deploying machine learning models to address complex business challenges. The role requires collaboration with cross-functional teams to integrate AI solutions into existing systems and optimize model performance.</p> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Key Responsibilities</h3> <ul style="margin:0 0 12px; padding-inline-start:24px; list-style-type:disc; list-style-position:outside;"> <li style="margin:0 0 6px;">Design and implement machine learning models using Python, TensorFlow, or PyTorch to solve specific business problems.</li> <li style="margin:0 0 6px;">Collaborate with data scientists and software engineers to deploy models effectively into production environments.</li> <li style="margin:0 0 6px;">Optimize and fine-tune models to ensure scalability, accuracy, and efficiency in real-world applications.</li> <li style="margin:0 0 6px;">Develop and maintain robust pipelines for data preprocessing, feature engineering, and model training.</li> <li style="margin:0 0 6px;">Conduct experiments to evaluate model performance and iterate on improvements based on business requirements.</li> </ul> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Required Qualifications and Skills</h3> <p style="margin:0 0 12px; ************;">Candidates for this role should possess <strong style="font-weight:700;">2-5 years of experience</strong> in machine learning engineering or a related field. Essential expertise includes proficiency in Python, various machine learning frameworks, and cloud platforms. The ability to apply these skills to solve practical business problems is critical.</p> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Work Details and Compensation</h3> <p style="margin:0 0 12px; ************;">This is a <strong style="font-weight:700;">contract position</strong> based in Saudi Arabia. The compensation for this role ranges from <strong style="font-weight:700;">$20 to $90 per hour</strong>, commensurate with experience and qualifications. The work involves contributing to a global leader in the technology industry.</p> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Role Impact</h3> <p style="margin:0 0 12px; ************;">This position offers the opportunity to contribute to the development of AI-driven solutions that enhance operational efficiency and customer experiences. The role involves addressing high-impact problems through the application of current tools and methodologies within a dynamic technology environment.</p> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Commitment to Equal Opportunity</h3> <p style="margin:0 0 12px; ************;">Hire Feed is committed to equal opportunity employment. All qualified candidates are encouraged to apply, irrespective of their background, experience, or prior employment history. Applications are evaluated solely on demonstrated technical ability and relevant qualifications.</p>

<p><strong>مسمى الوظيفي المقترح:</strong><br><strong>AI Automation &amp; Systems Engineer — مهندس ذكاء اصطناعي وأتمتة أنظمة</strong></p><p><strong>وصف الوظيفة</strong></p><p>نبحث عن مهندس تقني عملي وذكي يتولى <strong>المسؤولية التقنية الشاملة عن أنظمة الشركة وأتمتتها وربطها بالذكاء الاصطناعي</strong>، بحيث يكون مسؤولاً عن تحويل العمليات اليدوية والمتكررة إلى أنظمة مترابطة تعمل بأعلى قدر ممكن من الأتمتة والاستقلالية.</p><p>الدور ليس متخصص ذكاء اصطناعي نظري فقط، بل <strong>مهندس مشروع تقني شامل</strong> يستطيع فهم احتياجات العمل، تنفيذ الحلول، ربط الأنظمة، إصلاح المشاكل، ومتابعة التشغيل من البداية حتى الاستقرار.</p><p>سيكون مسؤولاً عن المنظومة التقنية كاملة، بما يشمل:</p><ul><li><p>الموقع الإلكتروني والـ Backend والـ APIs.</p></li><li><p>تطبيقات iOS وAndroid ومتابعة التكاملات المتعلقة بها.</p></li><li><p>تصميم وتنفيذ أنظمة الأتمتة وسير العمل.</p></li><li><p>استخدام الذكاء الاصطناعي وAI Agents لتشغيل ومتابعة أعمال الشركة.</p></li><li><p>ربط خدمات الطرف الثالث والأنظمة الخارجية عبر APIs وWebhooks.</p></li><li><p>أتمتة العمليات الداخلية والإدارية والتشغيلية.</p></li><li><p>ربط CRM وERP وقواعد البيانات والأنظمة المختلفة ببعضها.</p></li><li><p>بناء حلول باستخدام أدوات مثل <strong>n8n / Make / APIs / Webhooks / Python</strong> وغيرها.</p></li><li><p>دمج نماذج الذكاء الاصطناعي مثل OpenAI وClaude وGemini وغيرها عند الحاجة.</p></li><li><p>مراقبة الأنظمة واكتشاف الأعطال ومعالجتها.</p></li><li><p>إدارة التكامل بين الموقع والتطبيق والخدمات السحابية والأنظمة الخارجية.</p></li><li><p>تحسين الأداء والأمان والاستقرار وتقليل التدخل البشري قدر الإمكان.</p></li><li><p>توثيق الأنظمة والتكاملات المهمة لضمان سهولة إدارتها مستقبلاً.</p></li><li><p>تقييم الأدوات والتقنيات الجديدة واختيار الحل الأنسب من ناحية <strong>التكلفة والجودة وسهولة التشغيل</strong>.</p></li><li><p>تحمل مسؤولية الوصول إلى <strong>نتيجة نهائية تعمل فعلياً</strong> وليس مجرد كتابة كود أو تقديم اقتراحات</p></li></ul><p></p><p><strong>Requirements</strong></p><ul><li><p></p></li></ul><p><strong>ة</strong></p><p>نبحث عن شخص لديه خبرة عملية جيدة في مجموعة من المجالات التالية:</p><ul><li><p>Python وBackend Development.</p></li><li><p>REST APIs وWebhooks.</p></li><li><p>قواعد البيانات SQL أو NoSQL.</p></li><li><p>AI APIs وLLM Integration.</p></li><li><p>AI Agents وAutomation.</p></li><li><p>n8n أو Make أو أدوات مشابهة.</p></li><li><p>Git / GitHub.</p></li><li><p>Cloud Deployment وLinux.</p></li><li><p>فهم جيد لتطبيقات Web وMobile.</p></li><li><p>القدرة على التعامل مع React / Flutter أو التعاون معها عند الحاجة.</p></li><li><p>التكامل مع خدمات الدفع والإشعارات والمصادقة والطرف الثالث.</p></li><li><p>القدرة على تشخيص المشاكل التقنية وحلها بشكل مستقل.</p></li></ul><p></p>

Job Title - NOC Engineer - Satellite operation Location - Jeddah KSADuration - 12+ months<br>Experience2–5 years in NOC operations, telecom monitoring, satellite operations, or core‑network support. Experience working with signaling flows, routing tables, authentication paths, or mobile‑core elements. Hands‑on exposure to multi‑vendor NOC operations, incident workflows, and partner escalations. Required Technical Expertise Strong understanding of signaling (e.g., Diameter, SIP, NAS), routing fundamentals, and core‑network behavior. Knowledge of telecom connectivity flows (SIM activation, attach procedures, mobility, authentication). Experience analyzing logs, traces, routing tables, and event correlations across network elements. Familiarity with OSS/NMS tools, alarms, KPIs, dashboards, and monitoring platforms. Basic understanding of satellite network components, gateways, or hybrid RAN‑core flows is a plus. Hands‑on with Linux, basic scripting (Python/Bash), and troubleshooting tools.

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>At least 4+ years of practical experience developing and implementing data approaches such as advanced analytics and Machine Learning. Proficient in Python and SQL (PySpark and programming languages such as Java are a plus). Knowledgeable in Data Science and Machine Learning concepts and algorithms such as clustering, regression, classification, forecasting, neural networks, hyperparameters optimization and others. Experience in developing models for production and business application use. Knowledgeable in /or experience with Fintech/banking industry is a big plus. Basic knowledge in data engineering and ML model lifecycle. Strong business acumen in the financial sector (i.e., payments, acquiring, financial crime ). Highly motivated and like to work in a team and with advanced technologies in challenging environments. Excellent Communication Skills /English. Good Analytical Skills. Ability to communicate technical tasks to non-technical people. Ability to work in an agile environment and be a quick learner.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>At least 4+ years of practical experience developing and implementing data approaches such as advanced analytics and Machine Learning.</li><li>Proficient in Python and SQL (PySpark and programming languages such as Java are a plus).</li><li>Knowledgeable in Data Science and Machine Learning concepts and algorithms such as clustering, regression, classification, forecasting, neural networks, hyperparameters optimization and others.</li><li>Experience in developing models for production and business application use.</li><li>Knowledgeable in /or experience with Fintech/banking industry is a big plus.</li><li>Basic knowledge in data engineering and ML model lifecycle.</li><li>Strong business acumen in the financial sector (i.e., payments, acquiring, financial crime ).</li><li>Highly motivated and like to work in a team and with advanced technologies in challenging environments.</li><li>Excellent Communication Skills /English.</li><li>Good Analytical Skills.</li><li>Ability to communicate technical tasks to non-technical people.</li><li>Ability to work in an agile environment and be a quick learner.</li><li>Willing to relocate.</li><li>Bachelor s degree in computer science, Computer Engineering, Information Technology or Mathematics.</li></ul><p></p></section>

Job Responsibilities:Assist in the design, development, testing, and maintenance of web and/or mobile applications Write clean, efficient, and well-documented code under the guidance of senior developers Participate in code reviews and learn best practices for software development Collaborate with cross-functional teams including QA, UI/UX, and product management Troubleshoot bugs and performance issues in existing applications Stay current with emerging technologies and industry trends<br>Required Competencies:Bachelor’s degree in Computer Science, Information Technology, or a related field Proficiency in at least one programming language (e.g., Java Script, Python, Java, C#, or similar) Familiarity with front-end or back-end frameworks (e.g., React, Angular, Node.js, Django, . NET) Understanding of basic software development lifecycle and version control (Git) Strong problem-solving skills and attention to detail Good communication skills and willingness to learn

Role Summary Ensure high availability, performance, and reliability of production systems through automation, cloud operations, monitoring, and incident management. Key Responsibilities- Build and manage scalable AWS cloud infrastructure using Terraform / Cloud Formation- Implement monitoring and observability using Prometheus, Grafana, Splunk, or Datadog- Handle incidents, RCA, on-call support, SLOs, SLIs, and error budgets- Automate operations to improve efficiency, reliability, and MTTR- Manage Kubernetes, Docker, CI/CD pipelines, runbooks, and ITIL processes Mandatory Skills- SRE / Dev Ops / Production Support with AWS cloud experience- Kubernetes, Docker, Linux, and networking fundamentals- Scripting using Python, Bash, or Go- Monitoring tools and incident / RCA management Preferred Skills- Terraform / Cloud Formation, Jenkins / Git Lab CI/CD, Service Now / ITSM- Cloud security tools and enterprise environment experience Experience5+ years in SRE / Dev Ops / Cloud / Production Support

Location: Remote Company: QZ Information Technology Consultants Co. LLC (QZ Infomatics)<br>QZ Infomatics is an Odoo Silver Partner delivering ERP implementations across the GCC and beyond. We're expanding our Odoo delivery team and looking for a Technical Consultant who can take ownership of customizations, integrations, and technical delivery on client implementations.<br>What you'll do:Design, develop, and customize Odoo modules to meet client business requirements Build and maintain integrations between Odoo and third-party systems/APIsDebug, troubleshoot, and optimize existing Odoo implementations Collaborate with functional consultants to translate business requirements into technical specifications Support data migration, module upgrades, and version updates Provide technical documentation and knowledge transfer to the support team<br>What we're looking for:2+ years of hands-on experience with Odoo development (Python, XML, Postgre SQL) Solid understanding of Odoo's ORM, module architecture, and standard business workflows (Sales, Inventory, Accounting, Manufacturing, etc.) Experience with REST/XML-RPC API integrations Strong problem-solving skills and ability to work independently in a remote setup Prior experience in an Odoo partner/implementation environment is a strong plus Good written English for documentation and cross-team collaboration<br>How to apply: Send your CV to bhanu.kiran@qzinfomatics.com with the subject line "Odoo Technical Consultant – Application."

We’re Hiring – Riyadh <br><br>We are currently looking for a qualified candidate for the following position in Riyadh:<br><br>Cloud Systems Administrator – 1 Position (Intermediate Level)<br><br>The candidate should have:<br><br>* Minimum 3 years of cloud administration experience in a production environment.<br>* Hands-on experience with Microsoft 365, including Exchange Online, Share Point Online, Teams, and Entra ID.<br>* Practical experience with AWS and Google Cloud Platform. Strong experience in one platform with working knowledge of the other is acceptable.<br>* Experience with Intune, Identity & Access Management, Conditional Access, MFA, and cloud/Microsoft 365 backup and restore.<br>* Experience with ITSM ticketing and formal change control processes.<br>* Required: At least one current Associate-level or higher certification from AWS, Google Cloud, or Microsoft.<br>* Advantage: Microsoft 365 certification, Terraform/IaC, Power Shell/Python/Bash scripting, cloud cost optimization, Microsoft Defender/Purview, and cloud migration experience.<br>* Good written and spoken English.<br><br>???? Location: Riyadh<br>???? Working Hours: Sunday to Thursday, 9:00 AM to 6:00 PM (Riyadh time).(Emergenc<br>y support outside standard working hours may be required and will be charged at the applicable overtime rate.)<br>Please pr<br>ovide:<br>* Updated<br> CV* Profess<br>ional certification details, including certificate number and expiry date* Brief s<br>ummary of two comparable projects/assignments* Earlies<br>t availability date<br><br>???? Please send your CV to recruitment@top.net.sa or apply via Linked In.

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…

<p>you will be responsible for the management, maintenance, and support of our Linux-based server environments. This role requires expertise in configuring and troubleshooting system issues, ensuring high availability and performance, and implementing best practices for security and efficiency. Key Responsibilities: Install, configure, and maintain Linux operating systems on physical and virtual servers. Monitor system performance, troubleshoot issues, and optimize server configurations for maximum efficiency. Implement and manage backups, disaster recovery, and security updates. Automate routine maintenance tasks using scripting languages (e.g., Bash, Python). Collaborate with development and network teams to ensure the seamless deployment and integration of applications. Provide technical support and guidance to users and IT staff regarding Linux systems. Maintain detailed documentation of system configurations, procedures, and changes. Participate in capacity planning and system upgrades, ensuring minimal downtime. Stay updated with the latest Linux technologies and industry trends.</p><p><strong>Desired Candidate Profile</strong></p><p>Bachelor's degree in Computer Science, Information Technology, or a related field. 4+ years of experience as a Linux Administrator or similar role. Strong knowledge of Linux operating systems (e.g., Red Hat, Ubuntu, CentOS). Experience with server management, monitoring, and troubleshooting. Proficiency in shell scripting and automation tools. Familiarity with networking concepts, security best practices, and cloud services. Excellent problem-solving skills and attention to detail. Strong communication skills, both verbal and written. Relevant certifications (e.g., RHCE, CompTIA Linux+) are a plus. #LI-RK1</p>

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

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <strong>About the Role:</strong><br><p>We are seeking a detail-oriented Risk Analyst to join our team in Saudi Arabia. In this role, you will identify, assess, and monitor operational and financial risks, deliver data-driven insights, and work closely with internal and external stakeholders to drive risk mitigation strategies and regulatory compliance.</p><br><strong>Responsibilities:</strong><br><ul><li>Conduct comprehensive risk assessments and scenario analyses using quantitative and qualitative methodologies</li><li>Develop, maintain, and enhance risk models and reporting tools to track key risk indicators</li><li>Prepare timely risk reports and presentations for senior management and regulatory bodies</li><li>Collaborate with business units and stakeholders to identify risk exposures and implement mitigation plans</li><li>Monitor changes in regulatory requirements and ensure compliance with local and international regulations</li><li>Support the development and implementation of risk management policies, procedures, and controls</li></ul><br><strong>Required Qualifications:</strong><br><ul><li>2–5 years of experience in risk analysis, financial auditing, or related fields</li><li>Bachelor’s degree in Finance, Economics, Risk Management, or a related discipline</li><li>Proven experience with risk analysis methodologies and technical tools</li><li>Strong reporting skills, including data extraction and presentation using Excel or risk management software</li><li>Excellent stakeholder management and communication skills, both written and verbal</li><li>Sound understanding of Saudi Arabian regulatory frameworks and industry best practices</li><li>Demonstrated analytical thinking and problem-solving abilities</li></ul><br><strong>Preferred Qualifications:</strong><br><ul><li>Professional certification such as FRM, PRM, or CFA</li><li>Experience in banking, energy, or oil and gas sectors</li><li>Familiarity with local regulatory authorities (SAMA, CMA)</li><li>Hands-on experience with SQL, Python, or data visualization tools (Power BI, Tableau)</li></ul><br> </div><h2 class="h5">Skills</h2> <div data-jb-field="skills">General Skills<br> </div>

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

<p>Mindrift is looking for highly skilled Vibecode specialists to join the Tendem project ( https://tendem.ai/ ) and drive specialized data scraping workflows for real-world use cases. Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows for real-world applications. In this role, you'll apply your expertise in web scraping, data extraction, and data processing to deliver accurate, reliable, and high-quality results. This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.</p> <p> </p> <p> <strong>What We Do </strong> </p> <p>The Mindrift platform connects specialists with innovative technology projects. Our mission is to help develop high-quality AI technologies by combining real-world expertise from professionals across the globe with advanced AI development efforts.</p> <p> </p> <p> <strong>About the Role</strong> </p> <p>This is a freelance role for a Tendem project. As a <strong>Senior Python Data Scraping Engineer</strong>, you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing tools such as Apify, OpenRouter, and other technologies, alongside your own technical expertise and approaches.</p> <p> </p> <p> <strong>Key Responsibilities</strong> </p> <ul> <li>Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.</li> <li>Leverage available tools and custom workflows to accelerate data collection, validation, and task execution while meeting defined requirement.</li> <li>Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.</li> <li>Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.</li> <li>Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.</li> </ul> <p> </p> <p> <em> <strong>Educational qualifications</strong> </em> </p> <ul> <li>At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).</li> <li>Bachelor s or Master s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.</li> </ul> <p> </p> <p> <em> <strong>Academic and/or Professional Experience</strong> </em> </p> <p>Candidates should have a strong technical foundation and practical experience with scripting, automation, and data extraction workflows. We are looking for specialists who can solve non-trivial problems, work confidently with modern development tools and technologies, and systematically collect, structure, and validate data from diverse sources. A methodical, detail-oriented approach and the ability to work independently are essential.</p> <p> </p> <p> <em> <strong>Technical Skills (Essential)</strong> </em> </p> <ul> <li>Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies</li> <li>Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML)</li> <li>Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets)</li> </ul> <p> </p> <p> <em> <strong>Additional requirements</strong> </em> </p> <ul> <li>Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale</li> <li>Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows</li> <li>Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks</li> <li>Strong attention to detail and commitment to data accuracy</li> <li>Self-directed work ethic with ability to troubleshoot independently</li> <li>A link to GitHub is a plus</li> <li>English proficiency: Upper-intermediate (B2) or above (required)</li> </ul> <p> </p> <p> <strong>Project time expectations </strong> </p> <p>For this project, tasks are estimated to require around 10 20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p> <p> </p> <p> <strong>Compensation </strong> </p> <p>On this project, contributors can earn up to <strong>$37 per hour equivalent</strong>, depending on their level and pace of contribution. Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p> <p> </p>