Python Developer Jobs in Egypt

<p>As a Senior Associate in the Data Engineering team, you will play a key role in designing, building, and optimizing modern data platforms and pipelines on Azure and Databricks. You will work within cross-functional teams to deliver scalable, secure, and high-performing data solutions that enable advanced analytics, AI, and business insights for enterprise clients. This role requires a strong understanding of cloud data architecture, hands-on experience with Azure data services (including Microsoft Fabric), and deep practical knowledge of Databricks for batch and data engineering. Key Responsibilities Design, develop, and maintain end-to-end data pipelines across structured, semi-structured, and unstructured data sources. Implement data ingestion, transformation, and orchestration frameworks leveraging Azure Data Factory, Synapse, and/or Microsoft Fabric Data Pipelines. Develop and optimize ETL/ELT processes using Databricks (PySpark, SQL, Delta Lake) to ensure high performance and scalability. Implement and enforce data quality, lineage, and governance practices. Work closely with solution architects to design modern data architectures and ensure compliance with security and privacy standards. Participate in client workshops and technical discussions to translate business needs into technical designs.</p><p><strong>Desired Candidate Profile</strong></p><p>Required Skills &amp; Experience 3 6 years of experience in data engineering. Strong hands-on experience with: Azure Data Platform: Data Factory, Synapse Analytics, Azure Data Lake Storage, Microsoft Fabric, Event Hub/IoT Hub, and Azure Functions. Databricks: PySpark, Spark SQL, Delta Lake, Unity Catalog, and Databricks Workflows. Proficiency in Python and SQL for large-scale data processing and transformation. Solid understanding of data modeling, medallion architecture, and lakehouse principles. Familiarity with CI/CD pipelines, DevOps, and version control (e.g., Git, Azure DevOps). Knowledge of data governance, lineage, and observability tools. Experience with performance optimization, cost control, and best practices in cloud environments.</p>

<p>●&nbsp;&nbsp;&nbsp;&nbsp; Develop, train, and validate advanced machine learning and deep learning models (e.g., multi-layer perceptron's, convolutional neural networks, recurrent networks, and transformers) to predict patient risk, disease progression, and complex healthcare utilization patterns.</p><p></p><ul><li><p>Build and scale deep learning pipelines to process high-dimensional clinical datasets, medical imaging, or time-series physiological data</p></li></ul><p></p><p>●&nbsp;&nbsp;&nbsp;&nbsp; Formulate and execute predictive and prescriptive modeling strategies to optimize clinical workflows, inpatient flow, and resource allocation.</p><p></p><p>●&nbsp;&nbsp;&nbsp;&nbsp; Apply rigorous statistical methods and causal inference techniques (e.g., propensity score matching, difference-in-differences) to isolate and evaluate the clinical and operational impact of new hospital programs and pathways.</p><p></p><ul><li><p>Translate complex machine learning, deep learning, and statistical outputs into intuitive, actionable insights for clinicians, care managers, and executive leadership</p></li></ul><p></p><p><strong>Requirements</strong></p><h3>Education</h3><p>●&nbsp;&nbsp;&nbsp;&nbsp; <strong>Bachelor’s degree</strong> in Statistics, Computer Science, Engineering, or a highly quantitative discipline.&nbsp;&nbsp;&nbsp; </p><p></p><ul><li><p><strong>Master’s or PhD</strong> in Data Science, Computer Science, Deep Learning, Biostatistics, Biomedical Informatics, or a quantitative field with a heavy focus on machine learning and</p></li></ul><p></p><h3>Experience</h3><p>●&nbsp;&nbsp;&nbsp;&nbsp; <strong>1+ years</strong> of professional experience working strictly as a Data Scientist, Machine Learning Engineer, or Deep Learning Specialist.</p><p></p><p>●&nbsp;&nbsp; Prior experience in healthcare, clinical informatics, hospital operations, or pharmaceutical environments is <strong>highly preferred but not mandatory</strong>.</p><p></p><p>●&nbsp;&nbsp; Proven track record of developing, validating, and deploying predictive models (traditional ML or Deep Learning).</p><p></p><p>●&nbsp;&nbsp; Experience working directly with large, complex datasets (e.g., unstructured text, times-series, claims, or clinical records).</p><p></p><h3>Tools and Technologies</h3><p>●&nbsp;&nbsp;&nbsp;<strong>Data Science, ML &amp; Deep Learning:</strong> Python (pandas, scikit-learn, XGBoost, PyTorch, TensorFlow, Keras, Hugging Face).</p><p></p><p>●&nbsp;&nbsp;<strong>BI &amp; Model Visualization (Preferred):</strong> Streamlit, Plotly, Tableau, Power BI.</p><p></p><p>●&nbsp;&nbsp; <strong>Cloud &amp; Infrastructure (Familiarity):</strong> Azure ML, AWS SageMaker, Docker, Git.</p><p></p>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Are you a seasoned testing professional with a passion for quality and precision? We are seeking a Senior Software Testing Engineer to lead our quality assurance efforts in Cairo. In this role, you will be responsible for designing and executing complex test strategies, mentoring junior team members, and ensuring our software products meet the highest standards of reliability and performance.</p><p>As a Senior Software Testing Engineer, you will take ownership of the testing lifecycle for critical projects. You will collaborate closely with developers, product managers, and business analysts to define test plans, automate testing processes, and identify defects early. Your expertise will help drive continuous improvement in our testing frameworks and methodologies.</p><p>Key responsibilities include:</p><ul><li>Designing, developing, and executing comprehensive test plans and test cases for both manual and automated testing.</li><li>Leading test automation efforts using modern tools and frameworks (e.g., Selenium, Cypress, or similar).</li><li>Performing performance, load, and stress testing to ensure system scalability.</li><li>Reviewing and analyzing system requirements, technical specifications, and user stories to ensure testability.</li><li>Mentoring and coaching junior and mid-level QA engineers.</li><li>Reporting and tracking defects, as well as verifying fixes and conducting regression testing.</li><li>Participating in code reviews and contributing to a culture of quality.</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Experience: 5+ years of hands-on experience in software testing, with at least 2+ years in a senior or lead capacity.</li><li>Technical Skills: Proficiency in test automation (e.g., Selenium WebDriver, Rest Assured), programming languages (Java, Python, or JavaScript), and API testing tools (Postman, SoapUI).</li><li>Methodologies: Deep understanding of Agile/Scrum practices, CI/CD pipelines, and version control systems (Git).</li><li>Analytical Mindset: Strong problem-solving skills and attention to detail, with the ability to document and communicate issues clearly.</li><li>Education: Bachelor s degree in Computer Science, Software Engineering, or a related field (or equivalent experience).</li><li>Language: Professional proficiency in English (written and verbal).</li></ul><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><br> <p> <strong> <br>As a Tapster you will:</strong> </p> <ul> <li> <p>Collaborate with the development team to understand project requirements and functional specifications</p> </li> <li> <p>Design, develop, and execute test cases to ensure the quality and reliability of our online payment platform</p> </li> <li> <p>Conduct thorough testing, including functional, regression, and integration testing, to identify and document defects or issues</p> </li> <li> <p>Understand the API request &amp; response</p> </li> <li> <p>Carry out stress testing on each API using any automated tools</p> </li> <li> <p>Work closely with developers to reproduce and isolate issues, and provide detailed bug reports</p> </li> <li> <p>Track and manage defects using bug tracking tools, and follow up on their resolution</p> </li> <li> <p>Assist in the development and maintenance of automated test scripts and frameworks</p> </li> <li> <p>Participate in code reviews to provide input on testability, quality, and potential issues</p> </li> <li> <p>Stay up-to-date with industry best practices and emerging trends in software testing and quality assurance</p> </li> <li> <p>Carry out other duties, as assigned based on the demands of the business and growth of the role</p> </li> </ul> <p> </p> <p> <strong> <br>What you will bring to the party:</strong> </p> <ul> <li> <p>4+ years of role-specific experience in Financial Services/Fintech/High-Growth Startups</p> </li> <li> <p>Bachelor's degree in Computer Science, Software Engineering, or a related field</p> </li> <li> <p>Solid understanding of software testing concepts, methodologies, and best practices</p> </li> <li> <p>Experience with manual testing techniques and tools</p> </li> <li> <p>Familiarity with bug tracking systems and version control tools</p> </li> <li> <p>Basic programming knowledge (e.g., Python, Java, or similar) is a plus</p> </li> <li> <p>Ability to establish credibility and internal relationships</p> </li> <li> <p>Understanding of client/merchant/stakeholder care</p> </li> <li> <p>Awareness of how your role supports the business</p> </li> <li> <p>Enthusiasm for working in a growing fintech</p> </li> <li> <p>Ability to work in a team and follow daily tasks</p> </li> <li> <p>Skills and knowledge to actively participate in meetings</p> </li> <li> <p>Ability to deliver work on time</p> </li> <li> <p>Problem-solving and quick-thinking skills</p> </li> <li> <p>Ability to organize information and ask relevant questions</p> </li> <li> <p>Strong communication skills in English, with a preference for Arabic language ability</p> </li> </ul> <p><br></p></div></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Advansys is a dynamic solutions provider focused on delivering smart, modular, and sustainable technology solutions that enhance operations, improve customer experiences, and drive business modernization.<br> With over 400 skilled engineers, we serve 100+ enterprise customers across 14 countries.<br> Specialized in a wide array of premium services including Business Automation, Industrial Digitization, Low code Development, Cloud Services, Warehouse Automation &amp; Strategic Outsourcing.<br> Founded in 2014, Advansys is part of the INTRO Group, a private conglomerate established in 1980 with diverse investments across different business areas, oil and gas, real estate, specialized engineering, financial investment, Food &amp; manufacturing.<br> Job Description: Lead the end-to-end RPA lifecycle: requirement analysis, solution design, development, testing, deployment, and support.<br> Translate business processes into robust automation solutions using RPA platforms (UiPath, Automation Anywhere, Blue Prism, etc.<br>). Ensure best practices, governance, and security standards in automation projects.<br> Troubleshoot complex production issues and optimize bot performance.<br> Mentor and provide technical guidance to junior engineers.<br> Collaborate with architects to integrate RPA with AI/ML, OCR, APIs, and ERP/CRM systems.<br> Stay updated with emerging technologies in Intelligent Automation.<br> Bachelor’s degree in Computer Science, Engineering, or related field.<br> 3–5 years of hands-on experience in RPA development and deployment.<br> Strong knowledge of UiPath (preferred) or other major RPA tools.<br> Proficiency in C#, .<br>NET, Python, or VB for advanced automation needs.<br> Experience with databases (SQL), APIs, and workflow orchestration tools.<br> Familiarity with OCR, AI/ML integrations, and Document Understanding.<br> Excellent problem-solving, debugging, and analytical skills.<br> Strong communication skills to work with technical and non-technical stakeholders.<br> Nice to Have (Optional) UiPath Solution Architect certification.<br> Experience with SAP, Salesforce, or other enterprise applications.<br> Knowledge of cloud platforms (AWS, Azure, GCP) for automation deployment.<br> Experience leading automation projects or managing small RPA teams.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>At ValuSoft , we are committed to delivering innovative technology solutions that empower businesses through reliable, scalable, and data-driven systems.<br> We foster a collaborative environment where technology professionals can innovate, grow, and contribute to building modern data platforms that drive business success.<br> Job Description We are seeking a skilled Data Integration Engineer to design, develop, and maintain scalable data pipelines and integration solutions that support enterprise data platforms.<br> The ideal candidate will have hands-on experience in ETL/ELT development, data integration, and big data technologies, ensuring reliable, secure, and high-quality data processing across multiple systems.<br> Key Responsibilities Design, develop, and maintain scalable data pipelines for data transformation, integration, and loading.<br> Develop and optimize ETL/ELT processes using Informatica BDM, SSIS, IDQ , and other integration tools.<br> Ensure data integrity, quality, and security through validation, monitoring, and error-handling mechanisms.<br> Optimize data workflows for performance, scalability, and reliability.<br> Collaborate with data scientists, analysts, and business stakeholders to support reporting and analytical requirements.<br> Troubleshoot and resolve data integration issues while ensuring high system availability.<br> Stay current with emerging data engineering technologies and implement best practices for continuous improvement.<br> Qualifications &amp; Experience Bachelor's degree in Computer Science, Data Engineering, Information Technology, or a related field.<br> 3–5 years of hands-on experience in Data Engineering or Data Integration.<br> Proven experience building scalable data pipelines and ETL/ELT solutions.<br> Strong proficiency in Python, SQL, and Java .<br> Experience with big data technologies such as Apache Spark and Hadoop .<br> Hands-on experience with ETL tools including Informatica BDM, SSIS, and IDQ .<br> Strong understanding of data integration, data quality, data governance, and performance optimization.<br> Excellent analytical, problem-solving, and communication skills with the ability to work effectively in cross-functional teams.<br></span> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>As the leading delivery company in the region, we have a great responsibility and opportunity to impact the lives of millions of customers, restaurant partners, and riders. To realize our potential, we need to advance our platform to become much more intelligent in how it understands and serves our users.</p><p>As a n Analytics Engineer, you will be responsible for transforming raw data into well-structured, reliable, and accessible data models that enable analysts, data scientists, and business stakeholders to make informed decisions. You will work closely with data engineers to build scalable data pipelines and collaborate with analysts to ensure data is actionable and insightful.</p><p>Design, build, and maintain clean, efficient, and scalable data models in SQL and dbt. Optimize query performance and data processing efficiency. Ensure data is structured to support self-service analytics and business intelligence. Work closely with data engineers to define data requirements and enhance ETL pipelines. Partner with product analysts, data scientists, and business teams to ensure data meets analytical and reporting needs. Implement and enforce data quality best practices to ensure accuracy and consistency. Develop and maintain data transformation workflows using dbt, SQL, and cloud-based data platforms. Automate data validation and reporting processes. Monitor data integrity and troubleshoot data issues proactively. Advocate for best practices in documentation, testing, and version control.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"><b>Qualifications</b></p><p>Bachelor's degree in engineering, computer science, technology, or similar fields. A postgraduate degree is a plus but not required.</p><p>Strong proficiency in Python, SQL and experience with dbt for data modeling. Experience working with cloud-based data warehouses (e.g., Snowflake, BigQuery, GCP, Redshift). Familiarity with version control (Git) and CI/CD practices for data workflows. Understanding of data engineering principles, including ETL/ELT processes.</p><p></p></section>

<p><strong>Our Technology Stack (to be reviewed during onboarding):</strong></p><ul><li>Programming Language: Python</li><li>Transformation Technology: DBT</li><li>Data linkage: SPLink</li><li>Data Pipeline: Dagster</li><li>Databases: PostgreSQL, DuckDB, Snowflake, ClickHouse, Databricks</li><li>Ability to solve complex problems.<br>&nbsp;</li></ul><p><strong>Personality Traits:</strong></p><ul><li>Eager to learn new technologies</li><li>Open to learning from all team members, regardless of their experience level</li><li>Appreciative of any help from the team and willing to acknowledge it</li><li>Engage in discussions to benefit the team/project rather than to win arguments</li><li>Accept objective judgments that lead to better results, aspiring to be the best version of oneself</li><li>Willing to help team members and share knowledge</li><li>Have a more significant purpose beyond monetary gain, aiming to add value to the team and community</li></ul><p><strong>Important Notes:</strong></p><ul><li>Job description or service focus might change every six months based on project needs.</li><li>Must work from the office for the first six months; afterward, a hybrid work model is available (office and home), but entirely remote work is not allowed.</li></ul><p>&nbsp;</p><p><strong>PERKS OF BEING A PART OF Osloop Development:</strong></p><p>Experience the start-up spirit with an evolving culture and fulfilling workplace!</p><p>Professional Growth:</p><ul><li>Collaborate with a fantastic team and enjoy an entrepreneurial environment</li><li>Continuous learning opportunities with mentorship and coaching</li><li>Rapid career growth with clear internal opportunities</li><li>A fair and objective Performance Management System</li></ul><p>Employee Well-being:</p><ul><li>Flexible working hours</li><li>Free Drinks</li><li>Nap time is available if you feel tired during the day</li><li>Tennis Table and Xbox are Available in your free time<br>&nbsp;</li></ul><p>Recognition:</p><ul><li>Our recognition system allows you to earn points for your hard work, which can be converted into bonuses.</li></ul><p>Join us at Osloop Development and be part of a dynamic, supportive team that values growth, well-being, and hard work.</p><p><br>&nbsp;</p>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Job Overview We are seeking a talented AI / Machine Learning Engineer to join our growing technology team. The successful candidate will be responsible for designing, developing, and deploying machine learning models and AI-powered solutions that address business challenges and enhance product capabilities. This role requires strong technical expertise, problem-solving skills, and a passion for innovation. Key Responsibilities Design, develop, and deploy machine learning models and AI solutions for various business applications. Collect, preprocess, and analyze structured and unstructured data to support model development. Build and optimize data pipelines and machine learning workflows. Evaluate model performance and implement improvements to enhance accuracy and efficiency. Collaborate with software engineers, product teams, and stakeholders to integrate AI capabilities into products and services. Research and apply emerging AI and machine learning technologies and best practices. Develop and maintain technical documentation for models, processes, and systems. Ensure scalability, reliability, and maintainability of deployed AI solutions. Support continuous improvement initiatives and contribute to innovation within the technology team.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"><b>Qualifications</b></p><p>Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or a related field.</p><p>Experience in machine learning, deep learning, data analysis, or AI development.</p><p>Proficiency in Python and familiarity with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.</p><p>Knowledge of data structures, algorithms, and software development best practices.</p><p>Experience working with databases, APIs, and cloud platforms is considered an advantage.</p><p>Familiarity with MLOps, model deployment, and version control tools is a plus.</p><p>Strong analytical, problem-solving, and communication skills.</p><b>Requirements</b><p>Ability to work effectively in a remote environment and collaborate with distributed teams.</p><p>Passion for artificial intelligence and continuous learning.</p><p>Strong attention to detail and commitment to delivering high-quality solutions.</p><p>Experience in SaaS, FinTech, HealthTech, EdTech, or other technology-driven industries is considered an advantage.</p><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>We are looking for a Agentic AI Developer with 4+ years of hands-on experience in designing, developing, and deploying intelligent, autonomous AI agents that can plan, reason, and act toward achieving complex goals. This role blends expertise in Generative AI, Large Language Models (LLMs), and orchestration frameworks to build systems that go beyond static responses enabling dynamic, goal-driven behavior.</p><p>Key responsibilities</p><ul><li>Build autonomous agents using frameworks like LangChain, LangGraph, AutoGen, and CrewAI that can plan, reason, and execute tasks iteratively.</li><li>Integrate and fine-tune LLMs (e.g., GPT, Claude, LLaMA) for use in agent workflows, including prompt engineering and retrieval-augmented generation (RAG).</li><li>Develop systems where multiple agents collaborate, delegate tasks, and adapt strategies based on real-time feedback.</li><li>Enable agents to interact with external systems (e.g., APIs, databases, web apps) to perform actions autonomously.</li><li>Use tools like LangSmith, Grafana, and Splunk to monitor agent behavior, performance, and reliability.</li><li>Work closely with data scientists, architects, and product teams to align agentic solutions with business goals.</li><li>Ensure all solutions are well-documented and comply with data privacy and security standards.</li></ul><p>Technical Skills</p><ul><li>Languages: Python (mandatory), JavaScript, C# (optional)</li><li>Frameworks: LangChain, LangGraph, AutoGen, CrewAI, Hugging Face Transformers</li><li>LLMs: GPT-4, GPT- 4o, Claude, LLaMA, Mistral, Gemini</li><li>Vector Databases: FAISS, Pinecone, ChromaDB, Weaviate</li><li>Cloud Platforms: Azure (OpenAI, ML Studio), AWS (Bedrock, SageMaker), GCP (Vertex AI)</li><li>DevOps &amp; CI/CD: Git, Azure DevOps, Docker, Kubernetes</li><li>Monitoring Tools: LangSmith, Grafana, Splunk</li><li>Other Tools: Streamlit, FastAPI, Flask for UI/API development</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Bachelor s or Master s degree in Computer Science, AI, Data Science, or related field</li><li>1 5 years of experience in AI/ML development, with at least 1 2 years in Gen AI or Agentic AI</li><li>Strong understanding of autonomous systems, planning algorithms, and multi-agent coordination</li><li>Excellent problem-solving, communication, and collaboration skills</li></ul><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph">About GlobalFoundries GlobalFoundries (GF) is a leading full-service semiconductor foundry providing a unique combination of design, development, and fabrication services to some of the world's most inspired technology companies. With a global manufacturing footprint spanning three continents, GF makes possible the technologies and systems that transform industries and give customers the power to shape their markets. For more information, visit www.gf.com. Your Role In this role, you will help define and architect advanced digital signal processing and communication system solutions that drive next generation ASIC-based optical transceivers. You will translate complex system level requirements into robust architectures, models, and validation strategies, ensuring seamless execution from concept to silicon. Your work will span architectural definition, algorithm modeling, simulation, lab validation, and cross functional collaboration playing a key role in shaping the performance and capabilities of our high-speed optical products. Key Responsibilities: * Design specifications, architecture, and micro-architecture for advanced signal processing and communication algorithms. * Define and document chip-level requirements, architecture, verification strategies, and lab test plans. * Perform bit-accurate modelling and simulation using MATLAB/Simulink and C/C++. * Build and execute system-level transceiver simulation suites, including vector matching verification against RTL simulations. * Conduct ASIC lab testing, debugging, and performance validation. * Prepare technical documentation, application notes, and provide customer support. We Offer * Base Salary * Equity * Annual Bonus Plan * Medical Insurance Information about our benefits you can find here: https://gf.com/careers/opportunities-in-europe/</div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Master's degree/Ph.D. with 12+ years of experience.</li><li>Strong foundation in Communication Theory and Digital Signal Processing algorithms.</li><li>Proficiency in MATLAB/Simulink, C/C++, Python, Unix, and Linux environments.</li><li>Familiarity with analog circuit behaviour, transmission line theory, and s-parameters.</li><li>Prior experience architecting communication systems for high-performance ASIC-based products is highly valued.</li><li>Hands-on lab skills are considered a strong advantage.</li></ul><p></p></section>

<h2>About the Role</h2><p>We are looking for an <strong>AI/ML Backend Engineer</strong> to join our technical team and help build the foundation of an AI-powered product from the ground up.</p><p>This is a hands-on role for someone who can work across <strong>AI model fine-tuning, backend development, data pipelines, APIs, and MLOps</strong>. You will be responsible for helping turn early AI experiments into a reliable, scalable product ready for production.</p><p>A key part of this role is working with <strong>Unsloth</strong> for efficient model fine-tuning and optimization. We are looking for someone who understands how to fine-tune models practically, improve performance, and prepare AI systems for real product use.</p><p>You will work closely with the Product Manager and the data team during the first development phase, then help move the product toward launch and long-term growth.</p><h2>What You Will Do</h2><ul><li>Prepare, clean, and structure datasets for AI model training and evaluation.</li><li>Fine-tune AI models using <strong>Unsloth</strong> as a core tool.</li><li>Work with modern fine-tuning techniques such as <strong>LoRA, QLoRA, PEFT, supervised fine-tuning, and dataset formatting</strong>.</li><li>Build and improve ML pipelines for training, testing, deployment, and monitoring.</li><li>Develop backend services using <strong>Python and FastAPI</strong>.</li><li>Design and manage databases needed for the core product.</li><li>Build secure, well-documented, and scalable APIs to connect AI models with future web and mobile applications.</li><li>Deploy and maintain AI models in a production-oriented environment.</li><li>Apply practical <strong>MLOps</strong> practices such as experiment tracking, model versioning, deployment, monitoring, and performance evaluation.</li><li>Work closely with the Product Manager to turn business requirements into technical solutions.</li><li>Participate in daily standups, sprint planning, and product discussions.</li><li>Take ownership of technical decisions during the early stage of the product.</li></ul>

<p><br></p><p><b>Responsibilities</b></p><ul><li>Drive delivery. Translate DevOps priorities into execution, remove blockers, surface risks early and help ensure high-quality delivery.</li><li>Lead technical design. Drive design reviews across infrastructure, reliability and platform engineering, partnering with the Head of DevOps on broader architectural decisions.</li><li>Own the DR programme. Take ownership of a live Disaster Recovery programme: plan and coordinate recurring DR exercises across environments and markets, coordinate execution with regional teams, and drive continuous improvement of RPO/RTO.</li><li>Stay hands-on. Review infrastructure changes and code, troubleshoot production systems, prototype solutions and get directly involved when technical depth is required.</li><li>Improve operational discipline. Strengthen observability, incident response, postmortems, SLOs, capacity planning and production readiness.</li><li>Support and grow the team. Coach engineers, raise engineering standards, take an active role in hiring, own onboarding, and help create an environment where the team can perform at its best.</li><li>Automate by default. Champion Infrastructure as Code, GitOps, CI/CD and self-service tooling to reduce manual operations.</li><li>Embed security and compliance. Partner with Security and Compliance to meet regulatory, audit and governance requirements across Lean's markets.</li><li>Use AI effectively. Help the team use agentic coding tools responsibly to improve engineering quality and velocity.</li></ul><p>Qualifications</p><p>Our interview process assesses these areas directly.</p><ul><li>8+ years across DevOps, Infrastructure, SRE or Platform Engineering, including time leading engineers as a team lead or Engineering Manager.</li><li>Deep Linux and networking fundamentals: processes, memory, storage, TCP/IP, DNS and routing.</li><li>Kubernetes in production: design, operations and troubleshooting.</li><li>Infrastructure as Code as your default way of working: Terraform, Pulumi (or equivalent), CI/CD and GitOps.</li><li>Production experience with at least one major cloud platform - OCI or GCP preferred, AWS also fine.</li><li>You read, write and review code in languages such as Python, Go or Bash, including judging AI-generated changes. The interview process includes a short practical exercise.</li><li>System design fundamentals: distributed systems, high availability, failure modes, Disaster Recovery, capacity and cost.</li><li>Production troubleshooting depth: comfortable investigating processes, resource usage, network connections, logs, environment variables and application behaviour rather than relying only on dashboards.</li><li>Experience with observability and incident response; you write clear postmortems and drive the fixes that follow.</li><li>Comfortable joining an on-call and escalation rotation.</li><li>Clear communication, coaching and stakeholder management.</li></ul><p>Preferred Skills:</p><ul><li>Experience in fintech, payments or another regulated technology environment.</li><li>Experience operating infrastructure across multiple regions, clouds or markets.</li><li>Experience building developer platforms or self-service infrastructure.</li><li>Familiarity with technologies such as ArgoCD, Vault, Kafka, PostgreSQL, Redis, MongoDB or Cloudflare.</li><li>Experience helping establish or grow an engineering team in a new market or office.</li><li>Hands-on experience using agentic coding tools as a core part of your workflow (we run on Claude Code), with the judgment to know when to trust their output and when to scrutinies it more closely.</li></ul><p>NB. While we think the above experience could be important, we're keen to hear from people that believe they have valuable experience to bring to the role. If you identify with the team and mission, but not all of our requirements, then please still apply!!</p><p><br></p><p><strong>Desired Candidate Profile</strong></p><ul><li>8+ years across DevOps, Infrastructure, SRE or Platform Engineering, including time leading engineers as a team lead or Engineering Manager.</li><li>Deep Linux and networking fundamentals: processes, memory, storage, TCP/IP, DNS and routing.</li><li>Kubernetes in production: design, operations and troubleshooting.</li><li>Infrastructure as Code as your default way of working: Terraform, Pulumi (or equivalent), CI/CD and GitOps.</li><li>Production experience with at least one major cloud platform - OCI or GCP preferred, AWS also fine.</li><li>You read, write and review code in languages such as Python, Go or Bash, including judging AI-generated changes. The interview process includes a short practical exercise.</li><li>System design fundamentals: distributed systems, high availability, failure modes, Disaster Recovery, capacity and cost.</li><li>Production troubleshooting depth: comfortable investigating processes, resource usage, network connections, logs, environment variables and application behaviour rather than relying only on dashboards.</li><li>Experience with observability and incident response; you write clear postmortems and drive the fixes that follow.</li><li>Comfortable joining an on-call and escalation rotation.</li><li>Clear communication, coaching and stakeholder management.</li></ul><p>Preferred Skills:</p><ul><li>Experience in fintech, payments or another regulated technology environment.</li><li>Experience operating infrastructure across multiple regions, clouds or markets.</li><li>Experience building developer platforms or self-service infrastructure.</li><li>Familiarity with technologies such as ArgoCD, Vault, Kafka, PostgreSQL, Redis, MongoDB or Cloudflare.</li><li>Experience helping establish or grow an engineering team in a new market or office.</li><li>Hands-on experience using agentic coding tools as a core part of your workflow (we run on Claude Code), with the judgment to know when to trust their output and when to scrutinies it more closely.</li></ul><p>NB. While we think the above experience could be important, we're keen to hear from people that believe they have valuable experience to bring to the role. If you identify with the team and mission, but not all of our requirements, then please still apply!!</p>

Company Description Neo AI is an AI-driven company focused on making Artificial Intelligence practical, accessible, and results-driven for individuals and businesses. The organization delivers end-to-end AI solutions, strategic consulting, hands-on training, and AI-powered digital marketing to help clients innovate, optimize operations, and accelerate growth. Its mission is to bridge the gap between AI technology and real-world business value by equipping professionals with future-ready AI skills. Neo AI partners with organizations to transform how they work, market, and grow by providing the expertise, strategy, and execution needed to achieve measurable impact.<br>Role Description The Head of Artificial Intelligence is a full-time, on-site leadership role based in Cairo, Egypt. This role oversees the design, development, and deployment of AI solutions across Neo AI’s products and services, ensuring alignment with business goals and client needs. Day-to-day responsibilities include leading cross-functional AI teams, defining technical roadmaps, reviewing and refining models, and setting standards for data quality, experimentation, and model governance. The Head of AI will collaborate with internal stakeholders and clients to translate business challenges into AI initiatives, supervise research into new techniques and tools, and guide AI integration into consulting, training, and marketing offerings. The role also involves mentoring team members, building partnerships with academic and industry communities, and contributing to thought leadership in the AI domain.<br>Qualifications<br> Strong foundations in Computer Science and Data Science, with the ability to design and evaluate scalable AI architectures and data pipelines. Proficiency in Pattern Recognition and related machine learning techniques to develop robust, production-ready AI models. Hands-on experience with Natural Language Processing (NLP) for building language-based applications and solutions. Applied expertise in Computer Vision for image, video, or visual analytics use cases. Extensive experience leading AI/ML teams, including setting technical direction, managing projects, and mentoring diverse talent. Proficiency with modern ML frameworks and tools (e.g., Python, Tensor Flow, PyTorch, cloud ML platforms) and solid understanding of MLOps practices. Ability to translate complex technical concepts into clear business impact for stakeholders and clients. Master’s or PhD in Computer Science, Data Science, AI, or a related field, or equivalent practical experience. Experience building AI solutions for commercial products or client engagements; background in consulting or training is a plus. Strong communication skills and willingness to work on-site in Cairo, Egypt, collaborating closely with local and international teams.

Role Purpose, Key Responsibilities & Duties: The AI Engineer plays a key role in leveraging artificial intelligence (AI) and automation technologies to enhance business differentiating value propositions, processes, operational efficiency, and data-driven decision-making. The AI Engineer identifies opportunities for the implementation of AI and automation solutions, designs and develops applications, tools, and automated workflows to ensure the successful monetization, adoption, and integration of these technologies to drive growth and innovation posture. Collaborate with various stakeholders to understand requirements to design, develop and operation AI and automation business tailored capabilities and solutions. Create detailed business technical specifications and architectural designs for the implementation of the AI and automated business processes. Develop and implement AI algorithms, machine learning models, and automation scripts to address business needs and derive tangible value. Integrate AI and automation solutions with business processes, digital capabilities, systems and workflows. Conduct testing and validation of AI and automation solutions to ensure accuracy, reliability, responsibility and adherence to business requirements. Establish monitoring mechanisms to track the performance of implemented AI and automation solutions and capabilities for continuous assessment and improvements. Collaborate with cross-functional teams, including IT, business analysts, and end-users, to ensure alignment with business goals and organizational outcomes.<br>Key Competencies & Skills:✓ Proficiency in programming languages such as Python, R, or Java.✓ Strong data analysis skills for assessing, cleaning, and preparing data for AI and automation processes.✓ Ability to design AI and automation solutions tailored to specific business requirements.✓ Proficient in coding and scripting for the development and implementation of automation workflows.✓ Experience in testing and validating AI and automation solutions for accuracy and reliability.✓ Knowledge of integrating AI and automation solutions with existing systems and workflows.✓ Good communication skills to interact with cross-functional teams, stakeholders, and vendors.✓ A mindset for continuous learning to stay updated on emerging AI and automation technologies. Academic Education & Professional Certifications Operational & Managerial Experience:− Bachelor's degree in computer science, Data Science, or equivalent in a technology related discipline.− 3 to 4 years of experience with AI technologies, machine learning algorithms, and automation tools inside a Company.− RPA Developer, AI and Machine Learning, PMP (Project Management Professional) certifications preferred.− English proficiency is a must.− Artificial Intelligence technologies and algorithms, and proficiency in operating systems • Programming languages and networking fundamentals is essential.− Platforms and enterprise mobile applications on various operating systems, Java/XML, and HTML. If you're ready to make a significant impact and help shape a data-first culture, we want to hear from you.

<p><span style="font-size: 11px;"><b>Key Responsibilities&nbsp;</b></span></p><p><span style="font-size: 11px;"><br></span></p><p><span style="font-size: 11px;">Design, develop, and maintain scalable web applications from frontend to backend. Translate business requirements into robust technical solutions. Design clean, maintainable, and reusable software architectures. Develop RESTful APIs and backend services. Build responsive, high-performance frontend applications. Optimize application performance, security, scalability, and reliability. Participate in architecture discussions and technical decision-making. Perform code reviews and maintain coding standards. Write unit, integration, and end-to-end tests. Troubleshoot production issues and resolve complex bugs. Collaborate closely with UI/UX designers, QA engineers, DevOps engineers, and product owners. Mentor junior and mid-level developers. Participate in Agile ceremonies including sprint planning, daily standups, retrospectives, and backlog refinement. Contribute to CI/CD pipelines and deployment automation. Produce technical documentation where necessary.</span></p><p>Minimum Qualifications Bachelor's degree in Computer Science, Software Engineering, Computer Engineering, or a related field. 7+ years of professional software development experience. Proven experience delivering enterprise-grade web applications. Strong understanding of software engineering principles and design patterns. Experience working in Agile/Scrum environments. Excellent problem-solving and analytical skills. Strong written and verbal English communication skills.</p><p>Required Technical Skills Backend Python Django Django REST Framework REST API design Authentication (OAuth2, JWT) Microservices architecture Celery Background job processing Frontend React TypeScript JavaScript (ES6+) HTML5 CSS3 Responsive web design State management (Redux, Context API, Zustand, or similar) Databases PostgreSQL MySQL Query optimization Database design ORM experience Cloud &amp; DevOps Docker Docker Compose Kubernetes (preferred) Azure, AWS, or Google Cloud GitHub Actions / Azure DevOps CI/CD pipelines Linux Version Control Git GitHub Git Flow Software Architecture SOLID principles Clean Architecture Domain-Driven Design (preferred) Design Patterns Dependency Injection Testing Unit Testing Integration Testing End-to-End Testing PyTest Jest React Testing Library Security OWASP Top 10 Secure coding practices Authentication and authorization API security Data protection best practices</p><p>Preferred Qualifications Experience with data visualization libraries. Experience building analytics or monitoring platforms. Experience with real-time systems using WebSockets. Knowledge of message brokers (RabbitMQ, Kafka, Redis Streams). Experience integrating third-party APIs. Experience with GIS or mapping frameworks is an advantage. Experience in energy, utilities, IoT, smart grid, or industrial software is a strong plus.</p><p>Soft Skills Strong ownership mentality. Excellent communication skills. Ability to mentor and support junior engineers. Strong attention to detail. Excellent debugging and troubleshooting abilities. Ability to work independently while collaborating effectively within a team. Strong time management and prioritization skills. Continuous learning mindset.</p><p>What Success Looks Like Deliver high-quality software on schedule. Produce clean, maintainable, and well-tested code. Improve system performance, reliability, and scalability. Contribute to technical architecture and engineering best practices. Help grow the engineering team through mentoring and knowledge sharing. Take ownership of features from design through deployment and maintenance.</p><p>Nice-to-Have Experience Azure Services Kubernetes Redis Elasticsearch RabbitMQ Grafana Prometheus Nginx Terraform Infrastructure as Code OpenAPI / Swagger WebSockets SignalR OAuth2 / OpenID Connect OIDC/Entra ID integrations</p><p>Why Join Us? You will work on cutting-edge enterprise software used in the digital transformation of the energy sector, including renewable energy, battery energy storage systems (BESS), electric vehicles, smart metering, and grid digitalization. You'll collaborate with a multidisciplinary team to build scalable, high-impact software products that support utilities, governments, and energy developers across multiple countries.</p><p><strong>Desired Candidate Profile</strong></p><ul><li>Bachelor's degree in Computer Science, Software Engineering, Computer Engineering, or a related field.</li><li>7+ years of professional experience in software development.</li><li>Proven experience delivering enterprise-grade web applications.</li><li>Strong understanding of software engineering principles and design patterns.</li><li>Experience working in Agile/Scrum environments.</li><li>Excellent problem-solving and analytical skills.</li><li>Strong written and verbal English communication skills.</li></ul><p><strong>Required Technical Skills</strong></p><ul><li><strong>Backend</strong> Python, Django, Django REST Framework, REST API design, Authentication (OAuth2, JWT), Microservices architecture, Celery, Background job processing</li><li><strong>Frontend</strong> React, TypeScript, JavaScript (ES6+), HTML5, CSS3, Responsive web design, State management (Redux, Context API, Zustand, or similar)</li><li><strong>Databases</strong> PostgreSQL, MySQL, Query optimization, Database design, ORM experience</li><li><strong>Cloud &amp; DevOps</strong> Docker, Docker Compose, Kubernetes (preferred), Azure, AWS, or Google Cloud, GitHub Actions / Azure DevOps, CI/CD pipelines, Linux, Version Control Git, GitHub, Git Flow</li><li><strong>Software Architecture</strong> SOLID principles, Clean Architecture, Domain-Driven Design (preferred), Design Patterns, Dependency Injection</li><li><strong>Testing</strong> Unit Testing, Integration Testing, End-to-End Testing, PyTest, Jest, React Testing Library</li><li><strong>Security</strong> OWASP Top 10, Secure coding practices, Authentication and authorization, API security, Data protection best practices</li></ul><p><strong>Preferred Qualifications</strong></p><ul><li>Experience with data visualization libraries.</li><li>Experience building analytics or monitoring platforms.</li><li>Experience with real-time systems using WebSockets.</li><li>Knowledge of message brokers (RabbitMQ, Kafka, Redis Streams).</li><li>Experience integrating third-party APIs.</li><li>Experience with GIS or mapping frameworks is an advantage.</li><li>Experience in energy, utilities, IoT, smart grid, or industrial software is a strong plus.</li></ul><p><strong>Soft Skills</strong></p><ul><li>Strong ownership mentality.</li><li>Excellent communication skills.</li><li>Ability to mentor and support junior engineers.</li><li>Strong attention to detail.</li><li>Excellent debugging and troubleshooting abilities.</li><li>Ability to work independently while collaborating effectively within a team.</li><li>Strong time management and prioritization skills.</li><li>Continuous learning mindset.</li></ul>

<ul><li><p>AI Full-Stack Developer / AI Engineer</p></li><li><p>Web &amp; Application Development</p></li><li><p>We are looking for a talented and highly motivated <strong>AI Full-Stack Developer / AI Engineer</strong> to join us and take a hands-on role in developing innovative websites, web applications, mobile applications, and AI-powered digital solutions.</p></li><li><p>This position is ideal for a developer who combines <strong>strong programming fundamentals with practical knowledge of Artificial Intelligence and modern AI-assisted development tools</strong>.</p></li><li><p>Our objective is not traditional development involving unnecessarily long development cycles. We are looking for someone who understands how to use <strong>AI, APIs, automation, existing frameworks, and modern development platforms to build high-quality products rapidly and efficiently</strong>.</p></li><li><p>Key Responsibilities</p></li><li><p>The successful candidate will be responsible for:</p></li><li><p>Developing professional websites, web applications, and mobile applications from concept to deployment.</p></li><li><p>Building complete applications including front-end, back-end, databases, APIs, authentication, payment integrations, dashboards, and administrative systems.</p></li><li><p>Integrating AI functionality into applications using leading AI models and APIs.</p></li><li><p>Developing AI-powered features such as intelligent assistants, chatbots, document analysis, automated workflows, search systems, recommendation tools, and AI agents.</p></li><li><p>Using AI-assisted coding tools to accelerate development while maintaining professional software-engineering standards.</p></li><li><p>Identifying existing APIs, frameworks, libraries, SaaS services, and open-source solutions that can significantly reduce development time.</p></li><li><p>Designing and integrating APIs between different platforms and applications.</p></li><li><p>Developing prototypes and MVPs rapidly and converting successful prototypes into reliable production applications.</p></li><li><p>Deploying and maintaining applications using modern cloud infrastructure.</p></li><li><p>Testing, debugging, monitoring, securing, and continuously improving developed applications.</p></li><li><p>Evaluating new AI technologies and determining how they can be commercially incorporated into new projects.</p></li></ul><p></p><p><strong>Requirements</strong></p><h2>Required Technical Skills</h2><p>Candidates should have practical experience in several of the following areas:</p><p><strong>Programming &amp; Full-Stack Development</strong></p><ul><li><p>JavaScript / TypeScript</p></li><li><p>Python</p></li><li><p>React / Next.js</p></li><li><p>Node.js and/or Python backend frameworks</p></li><li><p>REST APIs and third-party API integration</p></li><li><p>SQL and/or NoSQL databases</p></li><li><p>Git / GitHub</p></li><li><p>Cloud deployment and hosting</p></li></ul><p><strong>Artificial Intelligence</strong></p><ul><li><p>Practical experience integrating LLMs and generative AI into applications</p></li><li><p>Experience working with AI APIs and SDKs</p></li><li><p>Prompt engineering and structured outputs</p></li><li><p>RAG (Retrieval-Augmented Generation)</p></li><li><p>Vector databases / embeddings</p></li><li><p>AI agents and tool/function calling</p></li><li><p>AI workflow automation</p></li><li><p>Understanding of model selection, token usage, latency, reliability, and API costs</p></li></ul><p>Experience with platforms and technologies such as <strong>OpenAI, Anthropic, Google Gemini, Hugging Face, LangChain, LlamaIndex, n8n, Supabase, Firebase, Vercel, AWS, Azure or equivalent technologies</strong> would be an advantage.</p><h2>AI-Assisted / Rapid Development</h2><p>This is particularly important for this position.</p><p>We are looking for someone who knows how to use modern AI development environments and coding assistants effectively to <strong>significantly accelerate software development</strong>.</p><p>Experience with tools such as Cursor, GitHub Copilot, Claude Code, Replit, Lovable, Bolt or similar AI-assisted development platforms is highly desirable.</p><p>The candidate must understand that AI-generated code still requires proper architecture, testing, security, debugging, version control, and human technical judgment.</p><p>We are therefore <strong>not looking simply for someone who can generate an application using prompts</strong>. We need someone with genuine programming knowledge who can understand, modify, troubleshoot, secure, and scale the resulting code.</p><h2>Candidate Profile</h2><p>The ideal candidate will be:</p><ul><li><p>A Computer Science, Software Engineering, Artificial Intelligence, Computer Engineering graduate, or someone with equivalent demonstrated technical experience.</p></li><li><p>A strong programmer with practical AI development skills.</p></li><li><p>Capable of independently taking an idea from concept to a working product.</p></li><li><p>Resourceful and able to find efficient technical solutions rather than unnecessarily building everything from scratch.</p></li><li><p>Comfortable learning new AI technologies quickly.</p></li><li><p>Commercially minded and interested in creating useful, scalable digital products.</p></li><li><p>Able to work independently with limited supervision.</p></li><li><p>Strong in problem-solving, research, and troubleshooting.</p></li></ul><p>Both <strong>experienced developers and exceptional recent graduates with a strong portfolio</strong> are encouraged to apply.</p><h2>What We Are NOT Looking For</h2><p>This position is not suitable for:</p><ul><li><p>Candidates whose experience is limited to basic website design or WordPress.</p></li><li><p>Developers with no practical AI/API integration experience.</p></li><li><p>Candidates who depend entirely on AI-generated code without understanding the underlying programming.</p></li><li><p>Pure data scientists or machine-learning researchers with no application-development experience.</p></li><li><p>Candidates who cannot independently build and deploy a working product.</p></li></ul><h2>Application Requirements</h2><p>To apply, please submit:</p><ol><li><p>CV / Resume.</p></li><li><p>GitHub profile, if available.</p></li><li><p>Portfolio or links to applications/websites you have developed.</p></li><li><p>Details of any AI-powered applications or systems you have built.</p></li><li><p>A brief description of the AI tools and development environments you currently use.</p></li><li><p>Your strongest programming languages/frameworks.</p></li><li><p>Current location and availability.</p></li><li><p>Expected salary.</p></li></ol><p><strong>Important:</strong> Applications demonstrating actual completed projects will receive priority over applications based solely on qualifications or certificates.</p><p>Shortlisted candidates should be prepared to explain or demonstrate:</p><ul><li><p>An application they personally developed.</p></li><li><p>How they would build an AI-enabled application from idea to deployment.</p></li><li><p>Which components they would build themselves versus use through existing APIs/services.</p></li><li><p>How they use AI coding tools while maintaining code quality and security.</p></li><li><p>How they would develop an MVP quickly and subsequently make it production-ready.</p></li></ul><p></p>

Company Description Cretik is a digital innovation company specializing in software and mobile app development, UI/UX design, website development, and e-commerce solutions. The team crafts tailored products that exceed industry standards and help clients gain a strong competitive edge. Cretik focuses on intuitive, visually compelling interfaces and high-performance, responsive websites that engage users and support business growth. Its e-commerce platforms are designed to drive sales and expand market reach, enabling clients to succeed in the online marketplace. By combining creativity with technical expertise, Cretik helps brands lead in the digital world. Role Description The Senior Data Analyst is a full-time, remote role responsible for transforming complex data into clear insights that support strategic and operational decisions. In this position, the analyst will collect, clean, and validate data from multiple sources, build and maintain dashboards, and perform exploratory and advanced data analysis. The role includes developing data models, applying statistical methods, and generating reports that inform product, marketing, and business performance. The Senior Data Analyst will collaborate with cross-functional teams to define key metrics, communicate findings in a clear and actionable way, and recommend data-driven improvements. This role also involves mentoring junior analysts, helping evolve analytics best practices, and supporting the implementation of new data tools and processes. Qualifications Strong analytical skills and experience in data analytics to interpret complex datasets and derive actionable insights. Proficiency in statistics, including hypothesis testing, regression, and descriptive analytics to support evidence-based decision-making. Hands-on experience with data modeling, including designing and maintaining data structures and pipelines for reporting and analysis. Excellent communication skills to present findings to technical and non-technical stakeholders and translate data insights into clear recommendations. Advanced skills in SQL and at least one analytics or scripting language (e.g., Python, R) and familiarity with BI tools (e.g., Power BI, Tableau, Looker). Experience working with large or complex datasets, including data from digital products, web analytics, or e-commerce platforms. Proven ability to work independently in a remote environment, manage multiple priorities, and meet deadlines in a fast-paced setting. Bachelor’s or Master’s degree in a quantitative field such as Data Science, Statistics, Mathematics, Computer Science, or related discipline. Background in technology, software, or digital product companies is a plus, along with experience supporting product and UX teams with data.

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span><b>Who we are</b> <br></span><p>VOIS (Vodafone Intelligent Solutions) is a strategic arm of Vodafone Group Plc, creating value for customers by delivering intelligent solutions through Talent, Technology &amp; Transformation. <br>As the largest shared services organisation in the global telco industry with 30,000 FTE, our portfolio of next-generation solutions and services are designed in partnership with customers across Vodafone Group, local markets, and partner markets to simplify and drive growth. With our strategic partner Accenture, we work alongside our Vodafone customers, other Telco and tech companies to drive transformation, meet the challenges of our industry and ensure we stay relevant and resilient. This partnership is a unique, industry-first model which brings together the best of in-house and 3rd party capability. <br>We work with customers across 28 countries from 10 VOIS locations: Albania, Egypt, Hungary, India, Romania, Spain, Turkey, UK, Germany, Ireland, and with a network of teams in Czech Republic, Italy, Greece, and Portugal. <br>#VOIS #BeUnrivalled #CreateTheFuture</p><br><br><br><b>About this Role</b> <br>We are seeking a Senior Software &amp; Automation Engineer to design, develop and implement automation, AI and machine learning solutions that transform manual processes into efficient digital workflows. This role focuses on delivering business value through software development, automation engineering, data-driven solutions and continuous process optimisation while collaborating with distributed international teams.<br><br><br><b>What you’ll do</b> <br><ul> <li>Design, develop and implement web applications and automation solutions in alignment with defined architectural standards.&nbsp;</li> <li>Establish and maintain development standards, tools and best-practice processes for software delivery.&nbsp;</li> <li>Work with development and analytics technologies including ETL, reporting, SQL and programming tools.</li> <li>Produce development documentation, process flows, diagrams and technical artefacts to support solution delivery.</li> <li>Analyse business requirements and identify opportunities to deliver value through automation and digitalisation.</li> <li>Optimise requirements and develop solutions that improve efficiency, reduce costs and enhance operational performance.</li> </ul><br><br><b>Who you are</b> <br><ul> <li>Degree-qualified in a technology-related discipline.</li> <li>Experience working within international and distributed teams and across projects of varying scope and complexity.&nbsp;</li> <li>Strong stakeholder engagement, organisation and prioritisation skills with experience producing project plans, milestones and dependencies.&nbsp;</li> <li>4-7 years of overall professional experience in software engineering, automation or related technology functions.&nbsp;</li> <li>Strong understanding of AI and automation application structures, governance, data performance and data security principles.</li> <li>Hands-on experience with SQL, Python, Django, Flask, JavaScript and REST APIs.</li> <li>Knowledge of Python automation and data analytics libraries including NumPy, Pandas, Matplotlib and Seaborn.&nbsp;</li> <li>Working knowledge of profiling tools and object-oriented programming principles.&nbsp;</li> <li>Exposure to Angular, Bootstrap, React, React Native and ITIL practices would be advantageous.</li> <li>Demonstrates analytical thinking, troubleshooting capability, attention to detail and a flexible approach to problem solving</li> </ul><br><br><b>Not a perfect fit?</b> <br><p>Concerned you may not meet every requirement? Vodafone is committed to creating an inclusive workplace where everyone can thrive. If you are excited about this role but your experience does not align exactly with every aspect of the job description, you are encouraged to apply. You may be the right candidate for this or another opportunity, and the recruitment team will support you in exploring where your skills fit best.</p><br><br><br><b>What's in it for you</b> <br><ul> <li>Opportunity to work on large-scale automation, AI and digitalisation initiatives.&nbsp;</li> <li>Exposure to modern software development frameworks, analytics tools and enterprise technologies.</li> <li>Collaboration with international teams and stakeholders across multiple business functions.</li> <li>Ability to influence process improvement, cost optimisation and business transformation outcomes.</li> </ul><br><br><b>What skills you will learn</b> <br><ul> <li>Advanced automation engineering and enterprise software development practices.</li> <li>AI and machine learning solution implementation within business environments.&nbsp;</li> <li>Data analytics, reporting and performance optimisation techniques.</li> <li>Solution architecture alignment, governance and technical documentation skills.&nbsp;</li> <li>Stakeholder management and business requirement analysis capabilities.</li> </ul><br><br><b>VOIS Equal Opportunity Employer Commitment</b> <br><p>Vodafone recognises and celebrates the value of diversity in building a workforce that reflects the customers and communities it serves. No form of discrimination is tolerated. This includes, but is not limited to, discrimination based on race, colour, age, veteran status, gender, pregnancy, maternity or parental status, ethnicity, disability, religion or belief, political affiliation, trade union membership, nationality, citizenship, indigenous status, medical condition, HIV status, neurodiversity, social origin, cultural background, marital or civil partnership status, or socio-economic background.&nbsp;</p><br><br><br><b>Join Us</b> <br><p>At Vodafone, we’re working hard to build a better future. A more connected, inclusive and sustainable world. As a dynamic global community, it's our human spirit, together with technology, that empowers us to achieve this. <br>We challenge and innovate in order to connect people, businesses, and communities across the world. Delighting our customers and earning their loyalty drive us, and we experiment, learn fast and get it done, together. <br>With us, you can truly be yourself and belong, share inspiration, embrace new opportunities, thrive, and make a real difference.</p><br><br><br><b>Alert </b> <br><p>Apply for Vodafone jobs only through the official Vodafone Careers website to avoid job scams and fraud. <br>#JDEnhancedByTARA</p><br><br><br><b>Follow us on social media and #StayConnected</b> <br><ul> <li>LinkedIn: VOIS LinkedIn</li> <li>Facebook: VOIS Facebook</li> <li>Instagram: VOIS Instagram</li> <li>You can also chat with our employees to learn more about our projects: Employee Connect</li> </ul><br><br><br> </div>

Since launching in Kuwait in 2004, talabat, the leading on-demand food and Q-commerce app for everyday deliveries, has been offering convenience and reliability to its customers. talabat’s local roots run deep, offering a real understanding of the needs of the communities we serve in eight countries across the region.<br><br>We harness innovative technology and knowledge to simplify everyday life for our customers, optimize operations for our restaurants and local shops, and provide our riders with reliable earning opportunities daily.<br><br>Here at talabat, we are building a high performance culture through engaged workforce and growing talent density. We're all about keeping it real and making a difference. Our 6,000+ strong talabaty are on an awesome mission to spread positive vibes. We are proud to be a multi great place to work award winner.<br><br>Job Description<br><br>As the leading delivery company in the region, we have a great responsibility and opportunity to impact the lives of millions of customers, restaurant partners, and riders. To realize our potential, we need to advance our platform to become much more intelligent in how it understands and serves our users.<br><br>As a n Analytics Engineer, you will be responsible for transforming raw data into well-structured, reliable, and accessible data models that enable analysts, data scientists, and business stakeholders to make informed decisions. You will work closely with data engineers to build scalable data pipelines and collaborate with analysts to ensure data is actionable and insightful.<br><br>Design, build, and maintain clean, efficient, and scalable data models in SQL and dbt. Optimize query performance and data processing efficiency. Ensure data is structured to support self-service analytics and business intelligence. Work closely with data engineers to define data requirements and enhance ETL pipelines. Partner with product analysts, data scientists, and business teams to ensure data meets analytical and reporting needs. Implement and enforce data quality best practices to ensure accuracy and consistency. Develop and maintain data transformation workflows using dbt, SQL, and cloud-based data platforms. Automate data validation and reporting processes. Monitor data integrity and troubleshoot data issues proactively. Advocate for best practices in documentation, testing, and version control.<br><br>Qualifications<br><br>Bachelor's degree in engineering, computer science, technology, or similar fields. A postgraduate degree is a plus but not required. Strong proficiency in Python, SQL and experience with dbt for data modeling. Experience working with cloud-based data warehouses (e.g., Snowflake, Big Query, GCP, Redshift). Familiarity with version control (Git) and CI/CD practices for data workflows. Understanding of data engineering principles, including ETL/ELT processes.