وظائف مطورين بايثون - القاهرة مصر

About Agoda<br><br>At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world.<br><br>Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide.<br><br>No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you’re ready to begin your best journey and help build travel for the world, join us.<br><br>Get to Know Our Team<br><br>The Engineering department oversees all Agoda’s ML and software related requirements. Our goal is to enable and increase Agoda’s business through creative approaches and the implementation of powerful resources such as operational and analytical databases, ML driven solutions, queue systems and data monitoring tools. We hire the brightest minds from around the world to take on this challenge and equip them with the knowledge and tools that contribute to their personal growth and success while supporting our company’s culture of diversity and experimentation. The role the engineering team plays at Agoda is critical as business users, product managers, and many others rely on us to empower their decision making. We are equally dedicated to our customers by improving their search experience with faster results and protecting them from any fraudulent activities. Data is interesting only when you have enough of it, and we have plenty. This is what drives up the challenge as part of the ML engineering squad, but also the reward. We work across structured and non-structured data at scale. For example, our current ML models process millions of images every day to try and enhance the experience that our users get from our app.<br><br>Why Agoda Engineering Team (ML role)?<br><br>Our engineering teams are at the intersection of business analytics, ml engineering, data warehousing and software engineering. Our job involves dealing with distributed systems, stream processing, ml modeling and computation at tens of PB Scale. We focus on software engineering related to data replication, storage, centralized computation, and Data API’s. By providing our users with ML products/tools, shared frameworks, and ML services, we enable our company to validate strategic decisions, make smarter choices, and react to the fast-changing world. We are a small but passionate team with people from different nationalities working together on a single goal.<br><br>In this Role, you will get to:<br><br>Lead the team technically in improving scalability, stability, accuracy, speed and efficiency of our existing ML systems and processes. Build, administer and scale ML processing pipelines. Be comfortable navigating the following technology stack: Python3, Scala Spark, scripting (Bash/Python), Hadoop, SQL, S3 etc. Should be able to understand internals of ML models such as Light GBM, Random Forest, CNN, Regression models, etc Design, build, test and deploy new libraries, frameworks or full systems for our core systems while keeping to the highest standards of testing and code quality. Work with experienced engineers and product owners to identify and build tools to automate many large-scale data management / analysis tasks. We believe in end-to-end ownership; this role will involve taking and building systems that enable us to deliver ML models to production at a scale.<br><br>What You’ll need to Succeed:<br><br>Bachelor’s degree in computer science /information systems/engineering/related field 6+ years of experience in software engineering with a minimum of 4+ years in MLExpert in SQL, Python3, and JVM based programming language – ie, Java or Scala Expert in software design/design patterns, functional programming and object-oriented programming. Analytical problem-solving capabilities & experience. A strong engineering driven mindset will be required to succeed in this role.<br><br>It’s great if you have:<br><br>Good understanding of Hadoop ecosystems and Big Data architecture and techologies Experience working with Open-source products Experience with Scala development Working in an agile environment using test driven methodologies Systems administration skills in Linux<br><br>Benefits<br><br>Hybrid Working Model WFH Set Up Allowance30 Days of Remote Working from anywhere globally every year Employee discount for accommodation globally Global team of 90+ nationalities40+ offices and 25+ countries Annual CSR / Volunteer Time off Benevity Subscription for employee donations Volunteering opportunities globally Free Headspace subscription Free Odilo & Udemy subscriptions Access to Employee Assistance Program (third party for personal and workplace support) Enhanced Parental Leave Life, TPD & Accident Insurance<br><br>#telaviv #jerusalem #IT #ENG #4 #sanfrancisco #sanjose #losangeles #sandiego #oakland #denver #miami #orlando #atlanta #chicago #boston #detroit #newyork #portland #philadelphia #dallas #houston #austin #seattle #sydney #melbourne #perth #toronto #vancouver #montreal #shanghai #beijing #shenzhen #prague #Brno #Ostrava #cairo #alexandria #giza #estonia #paris #berlin #munich #hamburg #stuttgart #cologne #frankfurt #hongkong #budapest #jakarta #bali #dublin #telaviv #milan #rome #venice #florence #naples #turin #palermo #bologna #tokyo #osaka #kualalumpur #malta #amsterdam #oslo #manila #warsaw #krakow #doha #alrayyan #riyadh #jeddah #mecca #medina #singapore #seoul #barcelona #madrid #stockholm #zurich #taipei #tainan #taichung #kaohsiung #bangkok #Phuket #istanbul #london #manchester #edinburgh #hcmc #hanoi #lodz #wroclaw #poznan #katowice #rio #salvador #newdelhi #bangalore #bandung #yokohama #nagoya #okinawa #fukuoka #jerusalem #IT #4 #newdelhi #Pune #Hyderabad #Bangalore #Mumbai #Bengaluru #Chennai #Kolkata #Lucknow #sanfrancisco #sanjose #losangeles #sandiego #oakland #denver #miami #orlando #atlanta #chicago #boston #detroit #newyork #portland #philadelphia #dallas #houston #austin #seattle #sydney #melbourne #perth #toronto #vancouver #montreal #shanghai #beijing #shenzhen #prague #Brno #Ostrava #cairo #alexandria #giza #estonia #paris #berlin #munich #hamburg #stuttgart #cologne #frankfurt #hongkong #budapest #jakarta #bali #dublin #telaviv #milan #rome #tokyo #osaka #kualalumpur #amsterdam #oslo #manila #warsaw #krakow #bucharest #moscow #saintpetersburg #capetown #johannesburg #seoul #barcelona #madrid #stockholm #zurich #taipei #bangkok #Phuket #istanbul #london #manchester #edinburgh #kiev #hcmc #hanoi #wroclaw #poznan #katowice #rio #salvador #IT #4 #5<br><br>Please review our Hiring Process Guidelines before your interview — click here to learn how interviewing at Agoda works.<br><br>Discover More About Working At Agoda<br><br>Agoda Careers https://careersatagoda.com Facebook https://www.facebook.com/agodacareers/Linked In https://www.linkedin.com/company/agoda You Tube https://www.youtube.com/agodalife<br><br>Equal Opportunity Employer <br><br>At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person’s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.<br><br>We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.<br><br>Disclaimer<br><br>We do not accept any terms or conditions, nor do we recognize any agency’s representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.

About Agoda<br><br>At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world.<br><br>Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide.<br><br>No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you’re ready to begin your best journey and help build travel for the world, join us.<br><br>Get to Know Our Team<br><br>The Engineering department oversees all Agoda’s ML and software related requirements. Our goal is to enable and increase Agoda’s business through creative approaches and the implementation of powerful resources such as operational and analytical databases, ML driven solutions, queue systems and data monitoring tools. We hire the brightest minds from around the world to take on this challenge and equip them with the knowledge and tools that contribute to their personal growth and success while supporting our company’s culture of diversity and experimentation. The role the engineering team plays at Agoda is critical as business users, product managers, and many others rely on us to empower their decision making. We are equally dedicated to our customers by improving their search experience with faster results and protecting them from any fraudulent activities. Data is interesting only when you have enough of it, and we have plenty. This is what drives up the challenge as part of the ML engineering squad, but also the reward. We work across structured and non-structured data at scale. For example, our current ML models process millions of images every day to try and enhance the experience that our users get from our app.<br><br>Why Agoda Engineering Team (ML role)?<br><br>Our engineering teams are at the intersection of business analytics, ml engineering, data warehousing and software engineering. Our job involves dealing with distributed systems, stream processing, ml modeling and computation at tens of PB Scale. We focus on software engineering related to data replication, storage, centralized computation, and Data API’s. By providing our users with ML products/tools, shared frameworks, and ML services, we enable our company to validate strategic decisions, make smarter choices, and react to the fast-changing world. We are a small but passionate team with people from different nationalities working together on a single goal.<br><br>In this Role, you will get to:<br><br>Lead the team technically in improving scalability, stability, accuracy, speed and efficiency of our existing ML systems and processes. Build, administer and scale ML processing pipelines. Be comfortable navigating the following technology stack: Python3, Scala Spark, scripting (Bash/Python), Hadoop, SQL, S3 etc. Should be able to understand internals of ML models such as Light GBM, Random Forest, CNN, Regression models, etc Design, build, test and deploy new libraries, frameworks or full systems for our core systems while keeping to the highest standards of testing and code quality. Work with experienced engineers and product owners to identify and build tools to automate many large-scale data management / analysis tasks. We believe in end-to-end ownership; this role will involve taking and building systems that enable us to deliver ML models to production at a scale.<br><br>What You’ll need to Succeed:<br><br>Bachelor’s degree in computer science /information systems/engineering/related field 6+ years of experience in software engineering with a minimum of 4+ years in MLExpert in SQL, Python3, and JVM based programming language – ie, Java or Scala Expert in software design/design patterns, functional programming and object-oriented programming. Analytical problem-solving capabilities & experience. A strong engineering driven mindset will be required to succeed in this role.<br><br>It’s great if you have:<br><br>Good understanding of Hadoop ecosystems and Big Data architecture and techologies Experience working with Open-source products Experience with Scala development Working in an agile environment using test driven methodologies Systems administration skills in Linux<br><br>Benefits<br><br>Hybrid Working Model WFH Set Up Allowance30 Days of Remote Working from anywhere globally every year Employee discount for accommodation globally Global team of 90+ nationalities40+ offices and 25+ countries Annual CSR / Volunteer Time off Benevity Subscription for employee donations Volunteering opportunities globally Free Headspace subscription Free Odilo & Udemy subscriptions Access to Employee Assistance Program (third party for personal and workplace support) Enhanced Parental Leave Life, TPD & Accident Insurance<br><br>#telaviv #jerusalem #IT #ENG #4 #sanfrancisco #sanjose #losangeles #sandiego #oakland #denver #miami #orlando #atlanta #chicago #boston #detroit #newyork #portland #philadelphia #dallas #houston #austin #seattle #sydney #melbourne #perth #toronto #vancouver #montreal #shanghai #beijing #shenzhen #prague #Brno #Ostrava #cairo #alexandria #giza #estonia #paris #berlin #munich #hamburg #stuttgart #cologne #frankfurt #hongkong #budapest #jakarta #bali #dublin #telaviv #milan #rome #venice #florence #naples #turin #palermo #bologna #tokyo #osaka #kualalumpur #malta #amsterdam #oslo #manila #warsaw #krakow #doha #alrayyan #riyadh #jeddah #mecca #medina #singapore #seoul #barcelona #madrid #stockholm #zurich #taipei #tainan #taichung #kaohsiung #bangkok #Phuket #istanbul #london #manchester #edinburgh #hcmc #hanoi #lodz #wroclaw #poznan #katowice #rio #salvador #newdelhi #bangalore #bandung #yokohama #nagoya #okinawa #fukuoka #jerusalem #IT #4 #newdelhi #Pune #Hyderabad #Bangalore #Mumbai #Bengaluru #Chennai #Kolkata #Lucknow #sanfrancisco #sanjose #losangeles #sandiego #oakland #denver #miami #orlando #atlanta #chicago #boston #detroit #newyork #portland #philadelphia #dallas #houston #austin #seattle #sydney #melbourne #perth #toronto #vancouver #montreal #shanghai #beijing #shenzhen #prague #Brno #Ostrava #cairo #alexandria #giza #estonia #paris #berlin #munich #hamburg #stuttgart #cologne #frankfurt #hongkong #budapest #jakarta #bali #dublin #telaviv #milan #rome #tokyo #osaka #kualalumpur #amsterdam #oslo #manila #warsaw #krakow #bucharest #moscow #saintpetersburg #capetown #johannesburg #seoul #barcelona #madrid #stockholm #zurich #taipei #bangkok #Phuket #istanbul #london #manchester #edinburgh #kiev #hcmc #hanoi #wroclaw #poznan #katowice #rio #salvador #IT #4 #5<br><br>Please review our Hiring Process Guidelines before your interview — click here to learn how interviewing at Agoda works.<br><br>Discover More About Working At Agoda<br><br>Agoda Careers https://careersatagoda.com Facebook https://www.facebook.com/agodacareers/Linked In https://www.linkedin.com/company/agoda You Tube https://www.youtube.com/agodalife<br><br>Equal Opportunity Employer <br><br>At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person’s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.<br><br>We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.<br><br>Disclaimer<br><br>We do not accept any terms or conditions, nor do we recognize any agency’s representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.

<p><h4>انضم إلينا</h4> <p>في فودافون، لسنا فقط نُشكّل مستقبل الاتصال لعملائنا – بل نُشكّل المستقبل للجميع من ينضمون إلى فريقنا. عندما تعمل معنا، تكون جزءاً من مهمة عالمية لربط الناس وحل التحديات المعقدة وخلق عالم أكثر استدامة وشمولاً. إذا كنت ترغب في تطوير مسيرتك المهنية مع إيجاد التوازن المثالي بين العمل والحياة، فإن فودافون توفر الفرص التي تساعدك على الانتماء وتحقيق تأثير حقيقي.</p> <h4>ملف الدور</h4> <p>يركز الدور بشكل أساسي (100%) على تقديم حلول تطوير شاملة لمهام جودة البيانات في BI والبيانات الكبرى، بما في ذلك خطوط الأنابيب، اتجاهات البيانات ولوحات المعلومات بالإضافة إلى إدارة تحسين النظام، ورصد أداء سير العمل، وإدارة تطبيقات DWH ومجموعات البيانات الكبيرة، وإدارة اتصالات البائعين، والتعامل مع ترقية النظام.</p> <h4>إدارة جودة البيانات</h4> <ul> <li>تصميم وتطوير وتنفيذ حلول لمراقبة والتحقق من دقة البيانات واتساقها واكتمالها وتحسينها.</li> </ul> <h4>تطوير وتحسين خطوط الأنابيب</h4> <ul> <li>بناء أبواب جودة البيانات لضمان وصيانة خطوط أنابيب بيانات قابلة للتوسع لمعالجة البيانات الكبيرة والتحقق منها بكفاءة.</li> </ul> <h4>ETL وتكامل البيانات</h4> <ul> <li>تطوير وتحسين عمليات ETL لضمان حركة البيانات بسلاسة عبر الأنظمة مع الحفاظ على لوحات جودة البيانات من البداية إلى النهاية.</li> </ul> <h4>حوكمة البيانات والامتثال</h4> <ul> <li>ضمان الامتثال بسياسات حوكمة البيانات والمعايير التنظيمية وأفضل ممارسات إدارة البيانات.</li> </ul> <h4>تحليل الأسباب الجذرية وحل المشكلات</h4> <ul> <li>التحقيق في الشذوذات البياناتية وتحديد الأسباب الجذرية وتنفيذ إجراءات تصحيحية بشكل استباقي.</li> </ul> <h4>أتمتة ورصد</h4> <ul> <li>تطوير نصوص أتمتة وأطر رصد لتبسيط فحوص جودة البيانات والتنبيه عند الشذوذات.</li> </ul> <h4>تحسين الأداء</h4> <ul> <li>تحسين أداء الاستعلامات وفهرسة قواعد البيانات وتكوينات النظام لتعزيز الكفاءة.</li> </ul> <h4>التواصل مع أصحاب المصلحة</h4> <ul> <li>التعاون الوثيق مع محللي البيانات والمهندسين وفرق الأعمال والبائعين لضمان تحقيق أهداف جودة البيانات.</li> </ul> <h4>الكفاءات والمؤهلات</h4> <p>فهم الدور الحاسم في ضمان جودة الأداء وموثوقية حلول البيانات. ينبغي أن تشمل المسؤوليات وعقلية العمل:</p> <ul> <li><strong>الالتزام بجودة البيانات العالية</strong><br> شغف بتطوير كود مُحسن لضمان جودة البيانات للمستخدم النهائي وتطوير لوحات التحليل وتحسين الأداء وتطبيق نهج علمي في الضبط والتحليل.</li> <li><strong>خبرة في مجتمع Agile</strong><br> العمل ضمن فرق Agile لضمان تقديم بوابات الجودة اللازمة واتخاذ إجراءات استباقية.</li> <li><strong>نهج يركز على العميل</strong><br> فهم عميق لاحتياجات العميل، مع ضمان أن كل ميزة وحل مطور يُحسن تجربة المستخدم النهائية مع تحديد القضايا المحتملة ومعالجتها قبل حدوثها. ملتزم بتقديم حلول تعزز تجربة العميل ورضاه.</li> </ul> <h4>المؤهلات التقنية / المهنية المطلوبة</h4> <ul> <li>درجة البكالوريوس في علوم الحاسب أو مجالات ذات صلة.</li> <li>0 إلى 1 سنة في الهندسة، وبشكل خاص في بناء بوابات الجودة لخطوط أنابيب البيانات، وضمان دقة البيانات، وإدارة الأنظمة الموزعة.</li> <li>خبرة في أنظمة وتقنيات البيانات الكبيرة مثل Java وPython وNoSQL وNode.js وAngular وKafka وYarn وHBase وZookeeper وفهم الأنظمة الموزعة مثل Hadoop (HDFS).</li> <li>معرفة بأطر معالجة البيانات، مثل Apache Hadoop (MapReduce) وApache Spark وApache Kafka.</li> <li>فهم مفاهيم وتكنولوجيات تخزين البيانات.</li> <li>إلمام بأدوات وعمليات ETL لنقل البيانات وتحويلها بكفاءة.</li> </ul> <h4>غير مناسب تماماً لك؟</h4> <p>هل تقلق من أنك لا تستوفي جميع المعايير المرغوبة بدقة؟ في فودافون نحن متحمسون لتمكين الناس وخلق مكان عمل يمكن للجميع فيه الازدهار، بغض النظر عن خلفياتهم الشخصية أو المهنية. إذا كنت متحمساً لهذا الدور لكن خبرتك لا تتطابق تماماً مع كل جزء من الوصف الوظيفي، فسنشجعك على التقديم لأنك قد تكون المرشح المناسب لهذا الدور أو لفرصة أخرى.</p> <h4>من نحن</h4> <p>نحن شركة الاتصالات الدولية الرائدة، نخدم ملايين العملاء. في فودافون، نؤمن بأن الاتصالات قوة للخير. إذا استخدمناها في الأشياء التي تهم حقاً، يمكنها تحسين حياة الناس والعالم من حولهم. من خلال تقنيتنا نُمكّن الناس، نربط الجميع بغض النظر عن هويتهم أو مكان إقامتهم ونحمي الكوكب، بينما نساعد عملاءنا على القيام بالمثل.</p> <p>الانتماء في فودافون ليس مفهومًا؛ إنه ممارس حي، نتنفسه وننقشه من خلال كل ما نفعله. ستكون جزءاً من مجتمع عالمي ومتعدد الثقافات، مع عقول مختلفة، قدرات، خلفيات وثقافات متنوعة. نحن ملتزمون بزيادة التنوع، وضمان تمثيل متساوٍ، وجعل فودافون مكاناً يشعر فيه الجميع بالأمان والتقدير والشمول.</p> <h4>الوصول والإتاحة</h4> <p>إذا كنت تحتاج أي ترتيب معقول أو لديك طلب وصول كجزء من مسار توظيفك، على سبيل المثال، وقت إضافي أو فترات راحة بين الاختبارات عبر الإنترنت، يرجى الرجوع إلى الإرشادات ذات الصلة المقدمة من فودافون.</p> <p>معاً نستطيع.</p>

About Lucidya<br><br>Lucidya is an AI-native platform for customer experience (CX) intelligence that helps organizations understand their customers and take action across the entire customer lifecycle.<br><br>Our platform brings together products including Social Listening, Omni Serve, Survey, and AI Agent, helping enterprise organizations across the region turn customer data into better experiences and measurable business outcomes.<br><br>As we continue to scale our products, customers, and AI capabilities, the amount of data we generate is growing rapidly. The opportunity is no longer simply to report on what happened - it's to understand why it happened, what it means, and what we should do next.<br><br>Why this role matters<br><br>We're looking for a Senior Product Analyst who can help make data a genuine part of how Product operates.<br><br>This isn't a role where you'll wait for a Product Manager to ask for a dashboard or pull a report after a decision has already been made. You'll be expected to get close to the product, understand how customers actually use it, spot patterns others may have missed, and bring insights to the table before someone asks for them.<br><br>You'll operate at two levels.<br><br>At the product and feature level, you'll help teams understand whether customers are discovering, adopting, engaging with, and getting value from what we're building. You'll identify friction, investigate unexpected behaviour, evaluate experiments, and help teams decide what to improve, scale, reposition, or stop.<br><br>At the leadership level, you'll connect those individual product signals to the bigger picture - helping leadership understand product performance, emerging opportunities, risks, and where we should invest next.<br><br>The strongest person in this role will be able to move comfortably between a SQL query, a conversation with a Product Manager, and a leadership presentation - and translate the same data into something meaningful for each audience.<br><br>What You'll Do<br><br> Turn product data into decisions. You'll go beyond reporting what happened to understand why it happened, what it means, and what Product should do differently as a result. Help teams define what success actually means. You'll work with Product Managers and other stakeholders to establish meaningful KPIs, success metrics, and measurement plans before features and initiatives are launched. Understand how customers use our products. You'll analyse journeys, funnels, cohorts, adoption, engagement, retention, churn, and behavioural patterns to identify where customers are succeeding and where they're getting stuck. Evaluate whether our products are delivering value. You'll assess feature performance and help teams make evidence-based decisions about whether to improve, scale, reposition, or discontinue initiatives. Bring insights into product discovery. You'll use quantitative evidence alongside customer, product, and market context to help teams understand which problems are worth solving and where the biggest opportunities exist. Challenge assumptions with evidence. When a team believes a feature is working, adoption is strong, or customers are behaving a certain way, you'll be comfortable asking, "What does the data actually tell us?" — constructively and without creating friction. Identify opportunities before you're asked. You won't wait for a stakeholder to request a report. You'll proactively investigate anomalies, emerging trends, underperforming areas, and changes in customer behaviour and bring forward the ones that matter. Support experimentation. You'll help teams define hypotheses, success criteria, and measurement approaches, then analyse experiments and A/B tests to determine what the evidence tells us. Make complex analysis easy to understand. You'll turn large datasets and complicated analysis into clear stories, visualisations, recommendations, and decisions that make sense to both technical and non-technical audiences. Give leadership a clear view of product performance. You'll create reporting that connects detailed product and feature performance to broader business objectives, highlighting progress, drivers, risks, and recommended actions rather than simply presenting numbers. Help Product become more self-sufficient with data. You'll build repeatable analytical frameworks, dashboards, documentation, and self-service resources so teams don't need to come to you for every question. Raise data literacy across Product. You'll coach Product Managers on metrics, analysis, and interpretation, and use workshops, office hours, and day-to-day collaboration to make better use of data part of how the team works. Build trust across teams. You'll work closely with Product, Design, Engineering, and business stakeholders and influence decisions without relying on formal authority<br><br>What Success Looks Like<br><br>In your first 3-6 months, you'll be building trust. Product teams know you as someone who understands the product, asks the right questions, and brings useful insights rather than simply producing reports.<br><br>As you establish yourself, you'll start changing how decisions are made. Product Managers are defining meaningful success metrics earlier, teams are using evidence to evaluate their decisions, and you're proactively surfacing opportunities and risks rather than responding to reporting requests.<br><br>Ultimately, success means Product becomes more intelligent. Leadership has a clear view of what's driving product performance, teams understand why customers behave the way they do, and decisions about priorities and investment are increasingly based on evidence rather than assumptions.<br><br>The shift we're looking for is simple:<br><br>From "What happened?" → "Why did it happen?" → "What should we do about it?"<br><br>Requirements<br><br>Who You Are<br><br> You're naturally curious. When you see an unexpected number, you don't just add it to a report — you want to know what's behind it. You think commercially, not just analytically. You understand that an interesting insight isn't necessarily a useful one. You can connect product behaviour to customer value, business performance, and investment decisions. You don't need to be given the question. You're comfortable starting with an ambiguous problem, figuring out what needs to be understood, and determining what analysis will actually help answer it. You can zoom in and out. You can spend time investigating why a particular feature's adoption dropped while still understanding how that finding connects to the wider product strategy. You're willing to challenge people. You don't simply validate what a stakeholder already believes. You're comfortable presenting evidence that contradicts an assumption, while doing so in a way that builds trust rather than defensiveness. You know that being right isn't enough. Your analysis only creates value if people understand it and act on it. You can turn complex findings into a simple story and a clear recommendation. You're a strong communicator. You can explain an analytical finding to a Product Manager, work through the technical detail with an Engineer, and present the business implication to leadership. You're proactive and self-directed. You don't wait for a ticket to appear in your queue. You notice something worth investigating and take ownership of finding out what it means. You're comfortable with ambiguity and a changing environment. Not every question will have a clean dataset or obvious answer. You know how to work with imperfect information while being transparent about its limitations. You have 4+ years of experience in product analytics, digital analytics, business intelligence, or a closely related field, with experience working directly with digital Product teams. You're technically strong. You can independently use SQL to explore and analyse large datasets and are comfortable working with product analytics or business intelligence platforms such as Mixpanel, Heap, Pendo, Metabase, Amplitude, Looker, Tableau, Power BI, or similar tools. You understand product metrics deeply, including funnels, journeys, cohorts, retention, engagement, adoption, churn, and customer behaviour. You can translate ambiguous business questions into structured analysis and understand the difference between finding a correlation and understanding what it actually means. You're comfortable working remotely and can communicate effectively across teams without relying on being in the same room. You have professional working proficiency in English. <br><br>Nice to Have<br><br> Experience designing or evaluating A/B tests and experiments. Experience with statistical analysis. Familiarity with modern data stacks, data warehouses, transformation tools, event tracking, analytics instrumentation, or data governance. Experience building or improving a product analytics function or data culture. Experience presenting product recommendations to senior leadership. Working knowledge of Python or R. Experience working with B2B Saa S, enterprise products, AI products, or complex data-driven platforms. <br><br>What the hiring process will look like<br><br> Recruiter screening — An initial conversation about your experience, motivations, and what you're looking for next. Analytics interview — A deeper discussion around your product analytics experience, technical capability, and how you approach ambiguous analytical problems. Case study / analytical exercise — You'll be given a product or business problem and asked to analyse the available information, identify the key insights, and explain what you would recommend. Presentation Interview — You'll meet Product and/or business stakeholders to explore how you communicate insights, challenge assumptions, and influence decisions based on the case study. Leadership / culture interview — A final conversation focused on how you operate, collaborate, handle ambiguity, and contribute to a high-performing team

<p style=\"text-align:left\"><b>مكان العمل</b></p>مكتب القاهرة للأعمال<p style=\"text-align:inherit\"></p><p style=\"text-align:left\"><b>وصف الوظيفة</b></p><p><b>افتح قوة البيانات – انضم إلى فريق المعرفة بالمستهلك والسوق لدينا!</b></p><p></p><p>هل أنت موهبة تحليلية ناشئة تتوق إلى الغوص في عالم رؤى المستهلكين وتشكيل مستقبل العلامات التجارية المحبوبة؟ هل تتحول البيانات إلى استراتيجيات قابلة للتنفيذ تحدث تأثيراً على الواقع؟ إذاً، نود أن نسمع منك!</p><p></p><p>نبحث عن <b>محلل بيانات مبتدئ</b> متحمس وفضولي لينضم إلى فريق المعرفة بالمستهلك والسوق (CMK) الديناميكي لدينا. هذا لا يتعلق فقط بمعالجة الأرقام؛ بل بفهم الناس، ودفع النمو، ومساعدة P&G على البقاء في طليعة ابتكار المستهلك. يمنحك هذا الدور فرصة فريدة لبدء مسيرتك المهنية، مع خبرة عملية وتوجيه مباشر أثناء مساهمتك في مشاريع تؤثر مباشرة في استراتيجيات العلامة وتفيذها في الأسواق.</p><p></p><p>كـ محلل بيانات مبتدئ ضمن فريق CMK، ستلعب دوراً داعماً حيوياً في تنفيذ الاستراتيجيات والمشاركة في تطوير وتنفيذ أفكار جديدة وتقنيات وإجراءات. ستركز على أهداف محددة بوضوح، ومساعدة في ترجمة البيانات المعقدة إلى رؤى قابلة للتنفيذ تغذي أعمالنا.</p><p></p><p><b>في هذا الدور، ستقوم بـ:</b></p><ul><li><p><b>تشكيل استراتيجيات النمو:</b> دعم تحديد رؤى التجار والمتسوقين التي تدفع النمو لعلاماتنا التجارية وخطط الأعمال المشتركة.</p></li><li><p><b>تفعيل الرؤى:</b> المساعدة في ترجمة دروس عبر الفئات إلى تفعيلات عملية في المتجر، CRM/SBD، والإعلام.</p></li><li><p><b>بناء الشراكات:</b> الإسهام في القيادة الفكرية المعتمدة على البيانات، ومساعدة P&G في أن تصبح شريكاً مفضلاً لدى العملاء وتجار التجزئة.</p></li><li><p><b>اكتشاف الفرص:</b> تقديم رؤى على مستوى السوق لبناء فهم المستهلك وتمكين تفعيل خطط العلامة عبر الأسواق والمناطق والعالمياً.</p></li><li><p><b>دفع التنفيذ:</b></p><ul><li><p>المساعدة في تشكيل خطط العلامة المتكاملة وخيارات التنفيذ لعملاء/قنوات رئيسية، مع ضمان التوافق مع متطلبات السوق المحددة.</p></li><li><p>دعم تحسين محركات العمل الأساسية، وتتبع الابتكار في السوق، والمساهمة في أعمال الأسس الاستهلاكية.</p></li><li><p>تلخيص رؤى المستهلك/المتسوق المحلي ومساعدة في رصد وتحسين التنفيذ داخل المتجر باستخدام أدوات الشركة واستراتيجيات المنطقة.</p></li></ul></li><li><p><b>تنشيط الابتكار:</b></p><ul><li><p>دمج التحليلات وفهم المستهلك لتحديد المحركات الرئيسية للأعمال والاحتياجات غير الملباة.</p></li><li><p>دعم تطوير وتنفيذ خطط تعلم الابتكار الفئوي، وتحويل الرؤى إلى مفاهيم ابتكار علوية.</p></li></ul></li></ul><p>تنفيذ خطط تعلم للأسواق الرئيسية وتقديم رؤى تُسهم في خطط العلامة المدمجة وتركيز الابتكار لدينا.</p><p style=\"text-align:inherit\"></p><p style=\"text-align:left\"><b>المؤهلات الوظيفية</b></p><p>للتفوق في هذا الدور، ستجلب:</p><ul><li><p><b>التعليم:</b> درجة البكالوريوس في الأعمال التجارية، التسويق، الاقتصاد، الإحصاء، علوم البيانات، أو مجال تحليلي ذي صلة.</p></li><li><p><b>الخبرة:</b> 2-3 سنوات كحد أقصى من الخبرة السابقة في أبحاث السوق، رؤى المستهلك، تحليل البيانات، أو دور تحليلي ذي صلة مطلوبة.</p></li><li><p><b>القدرات التحليلية:</b> مهارات تحليلية قوية مع قدرة مثبتة على جمع وتنظيم وتحليل كميات كبيرة من المعلومات والبيانات مع دقة وتفصيل استثنائيين.</p></li><li><p><b>المهارات التقنية:</b> الكفاءة في أدوات تحليل البيانات والبرمجيات مثل <b>SQL</b>، <b>Power BI، نمذجة البيانات، تعلم الآلة، وPython</b> ميزة.</p></li><li><p><b>الاتصال والتعاون:</b> مهارات تواصل ممتازة باللغة الإنجليزية (كتابة وشفهية) وقدرة مثبتة على العمل بشكل فعال وتعاوني ضمن فريق.</p></li><li><p><b>المرونة في التعلم:</b> القدرة على العمل بفعالية تحت إشراف مباشر، اتباع سوابق وسياسات محددة، وإظهار رغبة استباقية في تطوير معرفة ومهارات جديدة لتلبية متطلبات الوظيفة الحالية والمستقبلية.</p></li><li><p><b>الفضول:</b> شغف حقيقي بفهم سلوك المستهلك واتجاهات السوق</p><p><b>ما نقدمه:</b></p></li><li><p><b>التعلم المتسارع:</b> دور مبتدئ ديناميكي مع فرص كبيرة للحصول على خبرة عملية وتطوير مهني.</p></li><li><p><b>الأثر الحقيقي:</b> المساهمة في مشاريع تشكل استراتيجيات ونجاح علامات عالمية المعروفة.</p></li><li><p><b>التعرض المتنوع:</b> اكتساب خبرة عبر مجموعة واسعة من بيانات المستهلك، والتقنيات التحليلية، والفئات السوقية.</p></li><li><p><b>بيئة تعاونية:</b> العمل ضمن فريق داعم ومبتكر يقيّم وجهات نظر جديدة.</p></li><li><p><b>الإرشاد والنمو:</b> الاستفادة من التوجيه والإرشاد من محترفين ذوي خبرة في مجال CMK، لتأسيس أساس قوي لمسيرتك المهنية.</p></li></ul><p></p><p><b>حولنا</b></p><p>نُنتِج علامات تجارية معترف بها عالمياً وننمي أفضل قادة الأعمال في الصناعة. مع محفظة من العلامات التجارية الموثوقة والمتنوعة مثل Always®، Ariel®، Gillette®، Head & Shoulders®، Herbal Essences®، Oral-B®، Pampers®، Pantene®، Tampax® وغير ذلك. مجتمعنا يشمل عمليات في نحو 70 دولة حول العالم. زر <a href=\"http://www.pg.com/\" target=\"_blank\">http://www.pg.com</a> لمعرفة المزيد.</p><p></p><p>عملاؤنا متنوعون ومواهبنا داخلياً تعكس هذا التنوع لخدمته على أفضل وجه. لهذا السبب نلتزم ببناء ثقافة فائزة قائمة على الشمول، والمرشح المثالي متحمس لنفس المبدأ: ستنضم إلى عملنا اليومي للبقاء على تواصل، لنصوغ العلامات والمنتجات التي تُحسن حياة مستهلكي العالم الآن وفي المستقبل. نريدك أن تلهمنا بأفكارك الفريدة.</p><p>نلتزم بتوفير فرص متساوية في التوظيف. لا نميّز ضد الأفراد على أساس العرق، اللون، الجنس، العمر، الأصل الوطني، الديانة، التوجه الجنسي، الهوية أو التعبير الجنسي، الحالة الزواجية، الجنسية، الإعاقة، حالة المحاربين القدامى، أو أي حالة أخرى قانونياً.</p><p></p><p style=\"text-align:inherit\"></p><p style=\"text-align:left\"><b>جدول العمل</b></p>دوام كامل<p style=\"text-align:inherit\"></p><p style=\"text-align:left\"><b>رقم الوظيفة</b></p>R000155224<p style=\"text-align:inherit\"></p><p style=\"text-align:left\"><b>تصنيف الوظيفة</b></p>مستوى الدخول

AI Team Lead — Predictive Complications (Maternal & Fetal Health) Gravi Log is rebuilding pregnancy care through AI-powered risk prediction, EMR integration, and personalized nutrition. Our mission: catch avoidable complications before they become emergencies, for mothers and babies worldwide. ❤️<br>We're looking for an AI Team Lead to own the models that turn gathered symptoms into real-time risk predictions — the core of what makes Gravi Log work. This is a remote, flexible, part-time role (currently unpaid, with a path to paid upon traction and investment), leading a small team of developers and working directly alongside our clinical advisors.<br>What you'll own:Predictive models for maternal/fetal risk from patient-reported symptoms and health data Model validation — false-negative vs. false-positive tradeoffs matter here in a way they don't in most ML work; a missed complication is not an acceptable error Working directly with our OB/GYN advisor and clinical dietitian to sanity-check model outputs against real clinical judgment Guiding and reviewing the work of contributing developers.<br>We strongly prefer:A medical background (MD, medical data science, clinical research) or several years working AI/ML specifically in a healthcare or clinical-risk context — not general ML leadership Experience with health data standards (FHIR, HL7, or equivalent) and the realities of working with regulated patient data A track record of shipping models into production, not just research.<br>Toolkit:Python (ML/LLMs), cloud deployment (GCP/Vertex AI a plus) Experience validating models for high-stakes/regulated predictions Linux/Unix environments a plus.<br>Why join us:Shape the AI core of a maternal health product with real traction (350K+ downloads, 100+ countries, Mass Challenge Boston winner) Be part of international teams- from different countires and different cultures. Flexible, remote, part-time — currently unpaid, with upside as we close funding & have traction Be part of a team solving a problem that costs lives when done wrong<br>???? If you've built or validated risk models where getting it wrong has real consequences — this is your seat. Apply, DM or comment, and tag anyone who fits.<br>#AI #Healthcare AI #Maternal Health #Health Tech #Machine Learning #Pregnancy Care

Senior Agentic Developer (Remote – 1-Year Renewable Contract) Role Summary We are seeking a highly skilled Senior Agentic Developer to design, develop, and productionize autonomous, reactive, and proactive AI agents capable of reasoning, planning, memory management, collaboration, tool execution, and secure enterprise operations. This is a fully remote position offered on a 1-year renewable contract. Key Responsibilities Design, develop, and deploy reactive and proactive multi-agent systems. Build advanced agent capabilities including reasoning, planning, memory, reflection, delegation, self-recovery, and autonomous execution. Design and implement long-running, event-driven, scheduled, and goal-oriented agent workflows. Develop enterprise integrations through APIs, messaging systems, workflow platforms, and real-time communication channels. Implement governance, authorization, auditability, security controls, monitoring, and observability. Establish technical standards, ensure code quality, and provide architectural leadership and mentorship to development teams. Required Experience & Skills7+ years of software engineering experience.3+ years of experience building production-grade AI systems. Proven experience building proactive AI agents in production environments (mandatory). Proven experience designing and deploying multi-agent systems (mandatory). Expert-level proficiency in:Python Type Script Asynchronous programming Distributed systems APIsEvent-driven architectures Agent Frameworks Hands-on experience with one or more of the following:Lang Graph Llama Indexn8n Temporal LLM Platforms Strong experience with:Open AIAnthropic Meta Llama Equivalent enterprise-grade LLM platforms Memory & Knowledge Systems Deep experience designing and implementing:Retrieval-Augmented Generation (RAG) Vector Search Graph Search Semantic Retrieval Databases & Data Platforms Hands-on experience with:Pinecone Mongo DBNeo4j Postgre SQLInfrastructure & Messaging Strong production experience with:Docker Kubernetes Apache Kafka Redis Security & Governance Experience implementing:Role-Based Access Control (RBAC) Policy Enforcement Prompt Injection Defense Tool Security Auditability Observability Enterprise Integrations Experience integrating AI solutions with enterprise platforms such as:Microsoft Ecosystem Oracle SAPPreferred Qualifications Experience with on-premises and air-gapped deployments. Experience building stateful, fault-tolerant autonomous systems at enterprise scale. Strong understanding of enterprise security, compliance, and governance requirements. Experience leading technical design and architecture decisions for AI-driven platforms.

Head of Engineering<br><br>About Aggarly<br>Aggarly is building the operating system for short-term rental management in the MENA region. Our platform brings property management, reservations, channel management, guest operations, staff operations, service providers, payments and automation into one connected ecosystem. We are approaching launch and are now hiring our first full-time engineering leader. This is not a traditional engineering management position. We are looking for someone who wants to take technical ownership of a startup, work directly with the founders, remain deeply hands-on, and build the engineering team around them.<br>The Role<br>As Head of Engineering, you will become the internal technical owner of Aggarly. You will inherit an existing production-stage platform and work closely with the founding team to understand, strengthen and evolve the architecture as we launch and scale. You will be expected to write code, make architecture decisions, improve engineering standards, own deployments and infrastructure, mentor engineers, and gradually build and lead the engineering organization. For the right person, this role is intended to develop into CTO as Aggarly grows.<br>What You’ll Own<br>Technical architecture and engineering direction Backend, frontend and mobile architecture Production reliability and performance AWS infrastructure and deployment practices CI/CD and engineering workflows Security and access-control practices Code quality, testing and technical debt Technical documentation Engineering hiring and mentorship Technical evaluation of new features and integrations Incident response and production troubleshooting Working directly with the CEO on product and technical priorities You will initially be highly hands-on. We are not looking for someone who only wants to manage engineers.<br>Current Technology<br>Our platform currently includes technologies such as:Python / Django React / Next.js React Native Postgre SQLRedis AWSDocker Terraform Git Hub / CI/CDExact stack matching is less important than strong engineering fundamentals and the ability to take ownership of a complex existing product.<br>Who We’re Looking For<br>We are looking for an experienced engineer or technical leader who has:Strong full-stack software engineering experience Deep backend and systems understanding Experience shipping and operating real production software Strong knowledge of databases, APIs and distributed systems Experience with cloud infrastructure Strong understanding of software architecture and security Experience reviewing and improving existing codebases Experience mentoring or leading engineers Strong debugging and problem-solving ability Good product judgment and business understanding Experience working in fast-moving startup environments Experience with Saa S, marketplaces, fintech/payments, travel technology or property technology is a strong advantage.<br>What Matters Most<br>We care less about titles and more about ownership. We want someone who takes responsibility when something breaks, challenges weak technical decisions, communicates clearly, and is capable of building systems rather than simply completing tickets. You should be comfortable moving between architecture discussions and writing production code. This is a full-time leadership position and Aggarly must be your primary professional commitment.<br>Why Join Aggarly<br>This is an opportunity to join at a defining stage of the company. You will:Join the core founding team Have significant influence over the product and technology Work directly with the CEOBuild the engineering organization around you Help define engineering culture from the beginning Receive competitive compensation Participate in long-term equity upside Have a clear path toward becoming Aggarly’s CTO based on performance and leadership<br>Application<br>Please apply with your Linked In profile or CV. Rather than a traditional cover letter, we’d also like you to briefly tell us:What is the most technically difficult production system you have personally owned? What specifically were you responsible for? Why does joining an early-stage company at this level interest you? We are deliberately keeping the hiring process selective. This is a core leadership hire, not simply another engineering position.