Senior Application Development Engineer

Senior Software Engineer Location: Cairo 📍 Seniority: Senior 💻 🚀 About SAQAYA SAQAYA is a fast-growing, global tech company with operations in the UK, Spain, and Egypt. We specialize in connecting top-tier engineering talent with world-class UK clients, delivering state-of-the-art solutions in the shipping and data analytics industry. We're building an AI-native product engineering business focused on strong engineering, innovation, and technical excellence. 💻 About the Role We are looking for an experienced Senior Software Engineer to join our engineering team and contribute to the development, enhancement, and evolution of high-quality software applications. You will work primarily with Python, MySQL, and AWS, contributing to the design and delivery of scalable applications while helping establish strong engineering standards across the team. This is a hands-on role with an important focus on technical excellence, problem solving, mentoring, and continuous improvement. 🛠️ Key Responsibilities Design, develop, maintain, and enhance software applications primarily using Python. Build and support scalable, high-performance applications running on AWS. Participate in the design and architecture of new software solutions. Write effective unit tests and ensure high-quality, maintainable code. Participate actively in code reviews, promoting strong engineering and coding standards. Troubleshoot and resolve complex software issues, taking full ownership of problems through to resolution. Apply best practices around security, performance, scalability, and software quality. Work with relational and cloud-based data technologies, including MySQL, DynamoDB, and Redshift. Collaborate with other engineers and stakeholders within an Agile development environment. Contribute to CI/CD, TDD, pair programming, and other modern engineering practices. Mentor and coach other engineers, supporting their technical growth and development. Share knowledge and contribute to continuous improvement across the engineering organisation. Help identify and introduce new technologies, tools, and approaches that improve engineering productivity. Champion the use of AI-powered development tools across the Software Development Lifecycle. 🎯 Requirements 5+ years of professional software development experience in a commercial environment. Strong hands-on experience with Python and MySQL. Commercial experience developing and deploying applications on AWS, including IaaS and PaaS services. Strong understanding of Object-Oriented Programming and software engineering principles. Experience building high-performance and enterprise-scale applications. Strong experience writing unit tests and working with testing frameworks. Experience with CI/CD, TDD, Agile engineering practices, and modern development workflows. Strong problem-solving skills and the ability to take ownership of complex technical challenges. Good understanding of secure coding principles and application security. Experience working within Agile/Scrum environments. Excellent communication skills and the ability to work effectively with both technical and non-technical stakeholders. Experience mentoring, coaching, or supporting the development of other engineers. Hands-on experience with AI-powered development tools such as GitHub Copilot or similar solutions. Professional working proficiency in English. ⭐ Desirable Experience with NoSQL, JavaScript, TypeScript, Go, or other programming languages. Experience with big data or data products. Exposure to microservices architectures. Experience with application containerisation / Docker. Experience with ML or machine learning technologies. AWS certification or relevant cloud experience. 🌱 What We’re Looking For We're looking for a strong senior engineer who combines technical depth with a collaborative mindset. Someone who takes ownership, enjoys solving challenging problems, cares deeply about software quality, and is keen to help other engineers grow. You should be curious about new technologies, comfortable challenging existing approaches, and excited about using AI to improve the way software is designed, developed, tested, and delivered. 🌟 Why Join SAQAYA? We're building more than another software services company. We're building an AI-native product engineering business with global ambitions, combining strong engineering capabilities, an international customer base, and an ambitious growth strategy. If you're looking for an opportunity to build scalable software, work with modern technologies, mentor others, and help shape how engineering is done, we'd love to hear from you. 🚀

We’re looking for a Senior Python Engineer to join our team. If you have strong experience building scalable backend systems, developing integrations, optimizing databases, and contributing to technical architecture, this is your opportunity to work on impactful software products in a collaborative engineering environment. What You’ll Do Design, develop, and maintain scalable backend applications using Python and Django Build and extend platform plugins, extensions, and third-party integrations Develop and consume RESTful APIs Design, optimize, and maintain PostgreSQL databases and write efficient queries Write clean, modular, maintainable, and well-tested code Collaborate with cross-functional teams through code reviews and Git workflows Participate in CI/CD, deployment, monitoring, and troubleshooting activities Contribute to architectural decisions, technical improvements, and system scalability Help identify and resolve performance, reliability, and backend engineering challenges What We’re Looking For Bachelor’s degree in Computer Science, Software Engineering, or a related field 4+ years of professional Python development experience 2+ years of hands-on Django experience in production environments Strong knowledge of Python 3.10+, Django, PostgreSQL, REST APIs, Docker, and Git Strong experience with automated testing using Pytest and/or Django TestCase Experience building or extending applications using plugin or extension architectures Hands-on experience integrating third-party APIs such as payment gateways, loyalty platforms, or similar services Solid understanding of database design, query optimization, and backend performance Strong analytical and problem-solving skills Ability to write clean, maintainable, and reliable production code Preferred Extras Experience with Celery, Redis, RabbitMQ, Jenkins, Linux, and Bash Basic knowledge of JavaScript and Vue.js Experience with Arabic RTL localization Background in e-commerce, ticketing systems, or payment integrations Familiarity with OWASP security best practices Experience with CI/CD pipelines and production deployment environments Show more

About this Position In this role, you will design, build, and maintain scalable data assets, reporting layers, and analytical solutions that support reliable data-driven decision-making across the business. Shift: Evening Shift Working Hours: 3:00 PM – 11:00 PM Schedule: Fixed Evening Shift What You´ll Do Design, develop, and maintain analytical solutions that support business reporting, performance tracking, and data driven decision-making. Translate business requirements into scalable data models, reporting layers, dashboards, and actionable analytical outputs. Develop and maintain data preparation and transformation logic using SQL, Python, and cloud-based analytics platforms such as Azure Databricks. Build and enhance structured datasets and reporting-ready data models to support Power BI dashboards, semantic models, and recurring analytical use cases. Ensure data quality, consistency, and reliability through validation, reconciliation, testing, and documentation of business logic. Support automation and continuous improvement of reporting processes, data workflows, and recurring analytical activities. Collaborate with business stakeholders, analysts, and IT/data teams to understand requirements and deliver reliable analytics solutions. Support business users with ad hoc analysis, troubleshooting, documentation, and interpretation of analytical insights. Contribute to agile delivery by supporting requirement gathering, solution design, testing, documentation, and continuous improvement initiatives. What makes you a good fit Bachelor’s degree in Computer Science, Information Systems, Engineering, Data Analytics, Business, or a related field. 2–4 years of experience in data analytics, business intelligence, analytics engineering, or related data roles. Strong hands-on experience with SQL for data extraction, transformation, and data modeling. Practical experience with Power BI / Tableau, including dashboard development, reporting layers, and semantic models. Practical experience with Python for data analysis, transformation, automation, or data preparation activities. Experience working with structured datasets, reusable analytical data models, data quality checks, validation, and documentation. Familiarity with cloud-based analytics platforms such as Azure Databricks, Spark/PySpark, Git, version control, or CI/CD is a plus. Strong problem-solving mindset, attention to detail, and ability to translate business needs into scalable analytical solutions. Some perks of joining Henkel Flexible work scheme with flexible hours, hybrid work model, and work from anywhere policy for up to 30 days per year Diverse national and international growth opportunities Global wellbeing standards with health and preventive care programs Gender-neutral parental leave for a minimum of 8 weeks Employee Share Plan with voluntary investment and Henkel matching shares Comprehensive Health Insurance for employee + dependents Employee Assistance Programme provides a wide range of mental health and wellbeing benefits At Henkel, we come from a broad range of backgrounds, perspectives, and life experiences. We believe the uniqueness of all our employees is the power in us. Become part of the team and bring your uniqueness to us! We look for a diverse team of individuals who possess different backgrounds, experiences, personalities and mindsets. Show more

Please note that we will never request payment or bank account information at any stage of the recruitment process. As we continue to grow our teams, we urge you to be cautious of fraudulent job postings or recruitment activities that misuse our company name and information. Please protect your personal information during any recruitment process. While Monks may contact potential candidates via LinkedIn, all applications must be submitted through our official website (monks.com/careers). About The Role As a Data Analyst at Monks, you will work on designing, implementing, and maintaining robust data foundations that enable our clients to better understand marketing and product performance. You will help ensure that tracking, measurement, and analytics setups are accurate, scalable, and reliable, using tools such as Google Tag Manager, Google Analytics 4, Amplitude, Adobe Customer Journey Analytics, Adobe Launch, Piano Analytics, Firebase, and GCP. You will also be at the forefront of AI-driven innovation, helping to develop AI-powered automations and workflows that make data more accessible, actionable, and ready to support advanced analytics and machine learning initiatives. You should have a strong foundation in data literacy and the ability to translate technical requirements into practical business insights. Ideally, you have experience working with marketing, product, or digital analytics data, along with a solid understanding of data collection, tagging, measurement frameworks, data quality, and cloud technologies. While the role mainly focuses on analytics and data foundations, it also offers opportunities to contribute to AI automation, data engineering, and machine learning enablement projects. This role spans across the EMEA and MENA regions and involves close collaboration with our Analytics, Strategy, and Solutions Engineering teams. We offer a dynamic and challenging work environment at the forefront of AI-driven innovation in marketing. If you're passionate about pushing the boundaries of what’s possible, we encourage you to apply! Responsibilities Translate business requirements into technical requirements (measurement plans) and follow through with project execution Implement Analytics and/or Marketing tags through any given tag management tool (Google Tag Manager) Collaborate across client’s global teams on the execution of analytics projects Ensure accountability across project teams delivering quality and timeliness and work to exceed baseline-level content and deadlines across defined scopes of work as well as new opportunities Support the Monks Data Team to improve service delivery capabilities and identify project growth opportunities Eager to develop and build AI automations in the analytics space Write simple SQL queries in cloud platforms to extract insights from large datasets Communicate basic technical concepts and results to both technical and non-technical stakeholders, including clients. About You The essentials: Bachelor's or Master's in a quantitative subject such as Computer Science or a related field. 1+ years of working experience in data analytics or a related field. A good understanding of Google BigQuery is beneficial. Fluent English communication and written skills. Strong analytical and problem-solving skills with the ability to work independently and in a team environment. Strong data analysis abilities (knowledge of Python/JavaScript very beneficial) Strong analytical and consulting skills, rooted in the ability to draw and communicate insights from multiple data points Excellent consultative approach to developing and managing business relationships Ambition to perform unprecedented tasks and obtain new skills, be comfortable with uncertainty and adapt to a rapidly changing environment Ability and desire to scale knowledge and learning to other junior (and at times senior) team members Not a Must, But a Plus Bachelor's or Master's Degree in Computer Science. Previous agency or consultancy experience is a plus. GA4 Certification. Experience with marketing analytics tools and data (e.g. Google Analytics, Adobe Analytics). Familiarity with social data and AI tools (e.g. Instagram, Facebook, TikTok, ChatGPT, Claude, Gemini, etc). Knowledge of digital advertising industry practices and client verticals (retail, finance, etc.) is a plus. Experience with Data Studio or any visualisation tool At Monks, we believe in fostering an environment where a diversity of perspectives can thrive. We proactively work to design hiring processes that promote equity and inclusion while mitigating bias. We celebrate diversity and are committed to building a team that reflects the communities we serve. We welcome and encourage qualified applicants from all backgrounds who are excited to contribute to our mission. About Monks Monks is the global, digital-first, data-driven, unitary operating brand of S4Capital plc, where our culture centers on how we show up for the work and for one another. That begins with the commitment to strive for mastery—taking deep pride in our craft and creating work that sets the bar. In everyday execution, we drive momentum by choosing bold action rather than waiting for certainty. Above all, our teams are stronger together, bringing diverse perspectives into a unified team that communicates with clarity, trust, and mutual respect. This commitment to craft and innovation translates directly into widespread industry acclaim: Monks was named a Contender in The Forrester Wave™: Global Marketing Services and a leader in the 2026 Gartner® Magic Quadrant™ for Global Digital Marketing Agencies. It ranks among Cannes Lions' Top 10 Creative Companies (2022-25) and remains the only partner featured in AdExchanger’s Programmatic Power Players list every year (2020-24). Named Adweek’s first AI Agency of the Year (2023) and The One Show’s inaugural AI Pioneer Organization (2025), Monks was also awarded Business Intelligence Group’s 2026 Excellence in Artificial Intelligence Award in the Human-Machine Interaction Team category. Additionally, Monks.Flow earned AI-based Marketing Solution of the Year at the 2026 AI Breakthrough Awards and a 2026 Global Generative AI Award in the Agentic Marketing Innovation category. Finally, Monks achieved a record-breaking number of FWAs and continues to hold the most of any partner. We are an equal-opportunity employer committed to building a respectful and empowering work environment for all people to freely express themselves amongst colleagues who embrace diversity in all respects. Including fresh voices and unique points of view in all aspects of our business not only creates an environment where we can all grow and thrive but also increases our potential to produce work that better represents—and resonates with—the world around us. Show more