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Company Description Systems Limited is a globally recognized IT software solution company offering state-of-the-art professional services and BPO offerings in technology. The company has positioned itself as the top IT company in Pakistan, providing computing strategies and solutions to Government and Private Organizations. Systems Limited excels in Digital Transformation, Cloud, Digital, and Data, and has accomplished over 600 projects in the US, Europe, Pakistan, the Middle East, and Africa. Key Responsibilities: • Design, develop, and deploy machine learning models, AI algorithms, and statistical analyses to address business challenges (e.g., predictive analytics, recommendation, hyper personalization, fraud detection, etc.). • Lead a team of data scientists, providing technical guidance and mentoring on model development, experimentation, and implementation. • Partner with Product, Engineering, Delivery and Business to integrate data science solutions into production systems. • Identify relevant datasets, perform data mining, and ensure data quality for modeling purposes. • Communicate insights and model outcomes to technical and non-technical stakeholders to drive business decisions. • Define project roadmaps—from ideation and experimentation to production deployment and monitoring—ensuring alignment with business goals • Build robust predictive and prescriptive models (classification, regression, clustering, time-series, GenAI, etc.) • Continuously explore, pilot new methods and select proper modeling—Deep Learning, NLP, GenAI, LLMs, XAI—and promote best practices • Describe AI models using Explainable AI Job Requirements: • BSc in computer science, Information Technology, Computer Engineering or related field • 3+ years of experience leading projects and teams of data science • Proficiency in Python (or R), SQL, and ML frameworks (TensorFlow, PyTorch, Scikit-Learn) • MUST: Experience deploying models in production environments, not only solution development. • Proficient in Python (NumPy, Pandas), R, SQL • Experience with ML/DL frameworks (Scikit-Learn, TensorFlow, PyTorch, Keras, Hugging Face) • Skilled in MLflow, Kubeflow, CI/CD, Docker, Kubernetes • Implement performance tracking and drift detection • Provide explanation for model inference with XAI • Proven experience to lead solution from early development, until production automation and monitoring. Show more

About Payrails Payrails is a global payment software company helping leading enterprises to take control of their payment operations and maximize performance. With deep experience in the payments space and firsthand knowledge of merchants' challenges, we’ve seen how fragmented, complex, and inefficient these systems can become. Now, we are setting a new industry standard for how enterprises around the world manage and optimize payments, with more control, visibility and flexibility than ever before. Our vision is to reimagine payments from the ground up. We are building a deeply integrated meta layer that spans the entire payment lifecycle with a modular architecture. This helps us give leading brands building blocks to craft solutions to most complex operational challenges, tailor seamless customer experiences and grow their business. We are backed by some of the world’s top investors including Andreessen Horowitz, HV Capital, EQT Ventures and General Catalyst, who share our mission to simplify payment complexity globally. At Payrails, we’re committed to building a team of exceptional people - not just talented, but driven to build, solve, and deliver at the highest level. Excellence isn’t just a value here; it’s a way of working. We believe that great people thrive in environments where there’s trust, clarity, and shared purpose. We work openly and collaboratively, with deep respect for each other’s craft. Everyone is encouraged to understand the bigger picture - what we’re building, why it matters, and what stands in the way. When people have that context, they move faster, take ownership, and make better decisions. We care about creating a culture where people feel inspired to do their best work and a deep sense of responsibility to help us bring our vision to life. Success at Payrails means staying focused on the problems that matter most, and executing with purpose. Your team At Payrails, data is at the core of everything we do. We don’t just analyze data; we turn it into actionable insights that fuel smarter decision-making and drive the future of our products. As we continue to revolutionize the payments industry we are seeking an exceptional Senior Data Engineer to help us in our mission. Our tech team offers you the chance to work alongside a group of highly ambitious and knowledgeable Engineers, while being faced with complex problems that affect customers on a global scale. How you will make an impact Work alongside a talented team of analysts, data scientists and engineers to build data products and services that meet business requirements. Design, develop and maintain robust, scalable and observable batch and real-time data pipelines. Architect, build and maintain the data infrastructure at Payrails. Advocate for and implement data governance and security best practices. Contribute to tooling that improves data quality, CI/CD workflows, and data observability. Collaborate with cross-functional teams to understand requirements and design optimal solutions. What we are looking for You have 5-7 years of extensive experience in data engineering roles building reliable, scalable and observable production-grade data pipelines and services. You have strong proficiency in Python. Experience with GoLang is a plus. You are proficient in SQL, data modelling and operating common OLTP (e.g. PostgresSQL) and OLAP databases (e.g. Snowflake, Bigquery) at scale. You develop and maintain data pipelines using workflow management platforms such as Apache Airflow. You are knowledgeable of containerization technologies such as Docker and container orchestration platforms like Kubernetes. You communicate effectively and are proficient in English. You work independently and collaboratively in a fast-paced environment. Experience with real-time streaming technologies (e.g. Kafka, Kinesis) and distributed stream processing technologies (e.g. Apache Flink, Apache Beam, Kafka Streams) is an advantage. Familiarity working with infrastructure as code (e.g. Terraform) is preferred. FinTech or payments domain experience is a plus. What we offer High impact and high velocity environment with the most talented and ambitious people you will ever work with A chance to shape the story of a company and a category from the ground up Real ownership. You’ll have the freedom and trust to build, test, and take lead A product used by the best brands around the world Hybrid working with an office in the heart of New Cairo Regular team events, activities and off-sites Competitive salary and equity package 27 days of annual paid vacation Show more

About Bosta: Launched in 2017, Bosta is an overnight delivery provider for E-commerce companies in Egypt. Leveraging technology to empower businesses is what we do best. Our goal is to disrupt the logistics industry by bringing technology and experience all together to provide a one-stop-shop for delivery solutions. We rely on advanced technology to deliver orders to our customers in a fast way. Businesses can track and connect with couriers and follow up on their orders - all in one system. About the role: We’re rebuilding Bosta’s data platform end-to-end: from MongoDB at the source, through a governed semantic layer that LLM-native tools (NL-to-SQL agents, AI analysts, embedded copilots) can sit on top of safely and cheaply. You will help own that rebuild.This is a hands-on role. You’ll set patterns, write the foundational code, and ship across the stack — from CDC and ingestion through dbt, the semantic layer, and the interfaces that BI tools and AI agents consume. Job Responsibilities End-to-end pipeline work: MongoDB CDC → ingestion → lakehouse → warehouse → dbt → semantic layer → BI/AI consumers Co-ownership of architecture decisions with the Data Engineering Lead CDC from production MongoDB without degrading operational DB performance; ingestion patterns that make adding a new source a config change, not a project Orchestration that’s observable end-to-end (Airflow, Dagster, or Prefect) The dbt project: structure, conventions, tests, contracts, exposures, CI The semantic / metrics layer (dbt Semantic Layer, Cube, or equivalent) — one canonical definition per business metric LLM-readiness: column-level documentation, PII tagging, query cost guardrails, materialized metric tables, and evals on AI-generated SQL Migration of existing logic out of the Tableau and Metabase sprawl into modeled, governed sources Job Qualifications 4+ years across data engineering and/or analytics engineering — you’ve spent meaningful time on both sides Comfort spanning the stack: comfortable shipping a Debezium connector one week and a dbt mart the next Deep dbt and SQL — you’ve owned a non-trivial project, not just contributed to one Production CDC experience (Debezium, Kafka Connect, Airbyte, or hand-rolled) against operational databases — bonus if that database was MongoDB A cloud warehouse you know deeply (Redshift, Snowflake, BigQuery, or Databricks) Strong Python; comfortable in Linux, infra-as-code, and CI/CD Working understanding of how LLM tooling (RAG, NL-to-SQL, embedded agents) consumes a data platform — and what breaks when the platform isn’t ready Strong opinions on modeling, lightly held; bias toward observability Bonus: MongoDB schema evolution at scale Production semantic-layer rollouts (dbt Semantic Layer, Cube, LookML, MetricFlow) Lakehouse formats (Iceberg, Delta, Hudi) or streaming experience (Kafka, Flink, Kinesis) Data catalog / lineage tooling (DataHub, Atlan, Collibra) Logistics, marketplaces, or other operationally heavy domains Evals on AI-generated SQL or analytical reasoning Thank you for considering Bosta as your next career step. We value every application we receive, and our selection process is designed to ensure the best fit for both our team and our candidates. We appreciate your patience throughout the process We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. Show more

About Bosta: Launched in 2017, Bosta is an overnight delivery provider for E-commerce companies in Egypt. Leveraging technology to empower businesses is what we do best. Our goal is to disrupt the logistics industry by bringing technology and experience altogether to provide a one-stop-shop for delivery solutions. We rely on advanced technology to deliver orders to our customers in a fast way. Businesses can track and connect with couriers and follow up on their orders - all in one system. Job Code: 2026DATA-071 Job Overview: As a Senior Data Analyst, you will play a crucial role in extracting insights from complex datasets to inform strategic decision-making and drive business growth. With a keen eye for detail and strong analytical skills, you will transform raw data into actionable insights that empower stakeholders to make informed decisions. This role will have a strong focus on supporting our Operations and Fleet teams, helping them to analyze data, uncover insights, and make data-driven decisions. Job Responsibilities: 1-SQL Database Management: Build and maintain SQL databases, ensuring data integrity, security, and optimal performance Oversee the maintenance of databases and coordinate with data engineers to address any performance issues Optimizing data performance Handling all data extraction requests by creating queries on our SQL database 2- Data Extraction and Visualization: Develop and implement efficient data extraction processes from various sources Create visually appealing and insightful data visualizations to effectively communicate findings to stakeholders Apply data visualization best practices to enhance data-driven decision-making across the organization 3- Team Collaboration and Support: Collaborate with cross-functional teams to understand business requirements and provide data-driven insights and recommendations Work closely with the Operations and Fleet teams to understand their data needs, analyze operational and fleet data and operations challenges, and provide insights to improve efficiency and decision-making Partner with the planning/performance team 4- Additional Duties: Stay updated on emerging trends, tools, and technologies in the field of data analytics Foster a data-driven culture within the organization, promoting the use of data for decision-making at all levels Job Requirements: Bachelor's degree in a relevant field such as Data Science, Statistics, or Computer Science It's preferred to have tech startup experience 3-5 Years of experience as a Data Analyst Strong proficiency in SQL database management Advanced proficiency in Tableau for building dashboards and visualizations (required) Working knowledge of Python, Power BI or any other tools for data analytics is a plus Strong analytical and problem-solving skills, with the ability to interpret complex data and drive actionable insights Strong business acumen and the ability to translate business requirements into analytical solutions We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. Show more

Work Your Magic with us! Ready to explore, break barriers, and discover more? We know you’ve got big plans – so do we! Our colleagues across the globe love innovating with science and technology to enrich people’s lives with our solutions in Healthcare, Life Science, and Electronics. Together, we dream big and are passionate about caring for our rich mix of people, customers, patients, and planet. That's why we are always looking for curious minds that see themselves imagining the unimaginable with us. Your Role As a Senior Cloud Engineer specialising in AI/ML Platform infrastructure, you will be at the heart of building and operating the cloud-native foundation that powers data, analytics, and artificial intelligence workloads across the organisation. In this pivotal role, you will design, deploy, and continuously improve scalable, resilient infrastructure on AWS — enabling AI/ML engineers and data scientists to develop, deploy, and monitor machine-learning models and AI services at production scale. You will own critical platform components end-to-end: from containerised workloads and streaming pipelines to networking, security, and CI/CD automation. Working at the intersection of cloud engineering, data platforms, and AI/ML operations, you will solve complex infrastructure challenges with a pragmatic, reliability-first mindset and directly shape the technical direction of a platform that drives meaningful business outcomes. Who You Are You bring 5 or more years of hands-on cloud engineering experience, with strong expertise in AWS services including Elastic Container Service, Elastic Kubernetes Service, Virtual Private Cloud networking, and managed streaming solutions. You have proven experience provisioning and managing cloud infrastructure as code using Terraform and/or CloudFormation, and you are comfortable owning production environments end-to-end. You are skilled in building and maintaining CI/CD pipelines (for example using Azure DevOps) and apply disciplined version-control practices in collaborative engineering environments. You have hands-on experience designing and operating streaming platforms such as Apache Kafka or equivalent cloud-managed alternatives, with a focus on scalability and resilience. You implement platform security with confidence — including Transport Layer Security, secrets management, access controls, and authentication mechanisms such as JSON Web Tokens, OAuth, and LDAP. You have experience deploying, scaling, and monitoring AI/ML workloads and model-serving APIs, and you collaborate effectively with AI/ML engineers and data scientists to bring models into production. You hold a degree in Computer Science, Software Engineering, or a related field, or bring equivalent professional experience; familiarity with multi-cloud environments or Azure AI/ML services is a plus. What we offer: We are curious minds that come from a broad range of backgrounds, perspectives, and life experiences. We believe that this variety drives excellence and innovation, strengthening our ability to lead in science and technology. We are committed to creating access and opportunities for all to develop and grow at your own pace. Join us in building a culture of inclusion and belonging that impacts millions and empowers everyone to work their magic and champion human progress! Apply now and become a part of a team that is dedicated to Sparking Discovery and Elevating Humanity! Show more

Who we are: Long story short: Healthcare. Reinvented. Our mission as a thriving start-up is to leverage health care through technology. The software that we create enables patients to have full transparency about their treatment and makes it possible for the clinics to operate and collaborate internally in a brand new way. Patient21's incredible international team of engineers is enjoying daily our tech ecosystem - Kotlin, Spring-Boot, React, TypeScript, Flutter, RabbitMQ, GraphQL, AWS, Docker, Kubernetes. Getting out of your comfort zone and realizing your full potential sounds appealing? If yes, you're in the right place - join our experienced engineers and leaders! Our offer: Exciting start-up atmosphere. Gone are the days in which you wait for approvals for months. Make our disruptive product even better. Change how healthcare functions. Work with state-of-the-art technology. No legacy code. No technological debt. All green field. Your workplace-your choice. Office? Great! Home? Sure! Mars? Not sure about the Internet there, but why not. Flexible working hours. No downtime. High degree of autonomy. The team. Collaborative. Fun. True professionals. A real team. Your mission: Develop engaging web applications as part of a microservice architecture on new projects without legacy code and technological debt Work on a complex software system that disrupts the way clinics work Use your creativity to hack your way into proprietary systems Raise the bar and drive technological innovations to keep us at the cutting edge Apply continuous integration and deployment principles Ensure code quality and maintainability by writing tests, doing code reviews and refactoring Your talent: Proven track record of developing with Java and/or Kotlin minimum of 5 years Experience with Maven or Gradle Experience with Spring Framework Expert understanding of SQL databases Experience with developing containerized applications Experience with RabbitMQ or other messaging brokers Experience with Kubernetes is a plus Experience with Terraform is a plus Proven experience in collaboration with AI tools like Codex or Claude Code English working proficiency About Us We are growing and excited to meet you to join us on our mission. Let's revolutionize health care together! Show more