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senior ai & automation engineer Jobs in Cairo

senior ai & automation engineer

data engineer

sonnen Egypt

<div>
 
 Standort
 
 
 
 Cairo, EG
 
 
 
 Stellen-ID
 
 : 4758
 
 
 At the earliest date possible we are looking for support for our #teamsonnen
 
 
 Clean and affordable energy for all is one of the greatest challenges of our time. Sonnen has been committed to this mission since 2010 and is now represented in Europe, the USA and Australia with over 1,000 team members globally. In Germany, our offices are located in the beautiful Wildpoldsried (Allg&auml;u) and the vibrating heart of Berlin Kreuzberg.
 
 
 At sonnen, we are building the energy system of the future. To this end, we are developing new technologies and business models that have not existed before. Whether intelligent power storage, virtual power plants or digital services - we set the trends of a new energy world. That means, among other things, the inexpensive production and storage of renewable energy and the intelligent networking of producers and consumers. sonnen thereby gives people around the world the opportunity to become independent of fossil fuels and conventional energy supplier.
 
 
 We are growing steadily and are looking for people who want to join us in our vision of clean and affordable energy for all while making a positive impact on climate change.
 
 
 We are seeking a Data Engineer (m/f/d) to join our team and play a pivotal role in enabling our Business Intelligence and Data Science teams. As a Data Engineer, you will be responsible for maintaining and enhancing our AWS-based analytics platform, provisioning data from various sources, and enabling the development and stable operation of analytical solutions. We&rsquo;re looking for someone who shares our values, who isn&rsquo;t afraid to challenge existing processes, and who would like to work on innovative solutions in a fast-moving environment. If this sounds like you, then don&rsquo;t hesitate to get in touch.
 
 
 
 What you will do to help drive the energy transition:
 
 
 
 <ul>
 <li>
 (Senior) Define and design the architecture of our analytics platform, ensuring scalability, performance, and reliability.
 </li>
 <li>
 You design and build scalable data pipelines, ETL processes, and data lake and data warehousing solutions to support our analytics solutions.
 </li>
 <li>
 You develop and maintain data integration processes with a variety of structured and unstructured data sources.
 </li>
 <li>
 You implement, test, and maintain infrastructural components of sonnen&rsquo;s analytics platform and deploy and maintain data models.
 </li>
 <li>
 You implement data quality checks and monitoring mechanisms to ensure accuracy, completeness, and consistency of data.
 </li>
 <li>
 You define coding principles and support data scientists and analysts in implementing algorithms into operational solutions.
 </li>
 <li>
 Adhere to stringent quality assurance and documentation standards, utilizing version control and code repositories such as Gitlab.
 </li>
 <li>
 You stay up to date with emerging trends and technologies in data engineering and assess their potential applications to our business needs.
 </li>
 <li>
 (Senior) Share your knowledge by coaching/pair coding with more junior engineers.
 
 
 </li>
 </ul>
 
 What You Will Need On That Journey
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in computer science or a related technical field.
 </li>
 <li>
 +3 years of relevant employment experience in roles such as Data Scientist, Data Engineer, or Data Architect.
 </li>
 <li>
 +3 years of experience with ETL tools, Data Modeling, and Data Architecture.
 </li>
 <li>
 Experience with Big Data technologies such as Hadoop, Hive, and Spark.
 </li>
 <li>
 Ability to translate organizational goals into technical solutions.
 </li>
 <li>
 Experience with Infrastructure as Code (experience in Terraform and Ansible are a plus).
 </li>
 <li>
 Proficiency in Python, SQL, and NoSQL.
 </li>
 <li>
 Excellent communication and project management skills.
 
 
 </li>
 </ul>
 
 Stellensegment:
 
 Computer Science, Database, Quality Assurance, Data Warehouse, Business Intelligence, Technology
</div>

Data Engineer (m/f/d)

Waffarha

<div>
 
 Role Summary
 
 
 
 Own the end-to-end AI stack for four key initiatives&mdash;fraud detection, mobile-app personalization, low-code automations (Google AppSheet), and a WhatsApp chatbot. You&rsquo;ll turn
 
 
 raw data into production-grade models, liaise with domain experts (fraud, product, customer
 
 
 support) and coordinate with third-party vendors to hit rapid short-term milestones while steering the long-term AI roadmap.
 
 
 
 Responsibilities (Functionalities And Activities)
 
 
 
 <ul>
 <li>
 Data Engineering &amp; Quality Develop and maintain ELT/ETL pipelines and SQL models, ensuring accurate data lineage and validation.
 </li>
 <li>
 Labeling &amp; Feature Management Design labeling strategies and manage a structured feature catalog to support model development.
 </li>
 <li>
 Modeling &amp; Experimentation Train and evaluate machine learning models, conduct A/B testing, and assess build-versus-buy decisions.
 </li>
 <li>
 Deployment &amp; Integration Deploy models as services or APIs and integrate them into applications, low-code workflows, and chat systems.
 </li>
 <li>
 Monitoring &amp; Lifecycle Management Monitor model performance (drift, latency, cost), schedule retraining, and manage rollbacks when necessary.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 1-3 yrs building &amp; deploying ML models in Python (sklearn, TensorFlow or PyTorch)
 </li>
 <li>
 Solid SQL &amp; data-pipelines (ETL, Airflow or similar)
 </li>
 <li>
 Familiar with cloud services (GCP preferred; AWS/Azure fine)
 </li>
 <li>
 Basic REST API design &amp; consumption.
 </li>
 <li>
 Hands-on with at least one of: fraud analytics, recommender systems, conversational AI
 </li>
 <li>
 Experience with low-/no-code automation (Google AppSheet, Power Automate, Zapier, etc.)
 </li>
 <li>
 Strong stakeholder communication.
 </li>
 <li>
 Able to balance quick wins with scalable architectures.
 </li>
 <li>
 B.Sc. or higher in Data Science, CS, Engineering, Statistics, or related.
 
 
 </li>
 </ul>
 
 Preferred
 
 
 
 <ul>
 <li>
 Exposure to WhatsApp Business Cloud API, Twilio, or similar messaging platforms.
 </li>
 <li>
 Real-time data streaming (Kafka, Pub/Sub, Kinesis)
 </li>
 <li>
 MLOps tooling (Docker, Kubernetes, Kubeflow, MLflow)
 </li>
 <li>
 Experience with feature stores &amp; vector databases for personalization.
 </li>
 <li>
 Arabic &amp; English fluency.
 </li>
 </ul>
</div>

Data Engineer (Data Scientist – AI & Automation)

noon

<div>
 
 
 Who are we?
 
 
 
 
 
 
 noon, the region's leading consumer commerce platform. On December 12th, 2017, Noon launched its consumer platform in Saudi Arabia and the UAE, expanding to Egypt in February 2019. The noon ecosystem of services now includes marketplaces for food delivery, quick-commerce, fintech, and fashion. Noon is a work in progress; we&rsquo;re six years in, but only 5% done. Noon&rsquo;s mission: every door, every day.
 
 
 
 
 
 
 Qualifications &amp; Requirements:
 
 
 
 
 
 <ul>
 <li>
 Hands-on experience in SQL/BigQuery + any programming language, Python is preferred but not mandatory
 </li>
 <li>
 Excellent analytical skills and problem-solving capabilities
 </li>
 <li>
 Advanced Excel/Google Sheets knowledge
 </li>
 <li>
 Experience in the e-commerce industry is preferred but not mandatory
 </li>
 </ul>
 
 
 
 
 
 Key Responsibilities:
 
 
 
 
 
 <ul>
 <li>
 Work within a cross-functional team that develops products as part of one of our businesses
 </li>
 <li>
 Design and build batch (and occasionally real-time) data pipelines and models for product, analytics, and reporting purposes
 </li>
 <li>
 Monitor data quality and integrity, designing and developing checks to ensure accuracy and consistency
 </li>
 <li>
 Conduct exploratory data analysis to identify trends, patterns, and opportunities for optimization
 </li>
 <li>
 Assist in developing dashboards and visualizations to expose data to users and stakeholders effectively
 </li>
 <li>
 Occasionally develop and optimize ML models to support product goals, as well as deploy and operate such models in production
 </li>
 <li>
 Occasionally support ad-hoc data requests and reporting for business stakeholders
 </li>
 <li>
 Core technologies: Python, SQL, Google Bigquery, Clickhouse
 </li>
 </ul>
 
 
 
 
 
 Who will excel?
 
 
 
 
 
 
 &lsquo;noon isn&rsquo;t for everyone. And that&rsquo;s okay.&rsquo; This is one of our core operating principles.
 
 
 
 
 
 We're looking for resourceful doers. Thinkers who are both creative and analytical. Problem solvers who are enthusiastic about delivering results. Our ideal candidate will be comfortable in a fast-paced, multi-tasked, high-energy and often ambiguous environment.
 
 
 
 
 
 If the above values resonate with you, then noon might be the place for you.
 
</div>

Data & Analytics Engineer

DXC Technology

<div>
 
 Job Description
 
 
 
 
 Role Overview:
 
 
 
 We are seeking a highly skilled and collaborative Data Scientist to join the delivery team for a strategic Data &amp; AI implementation project. The ideal candidate will support the platform&rsquo;s advanced analytics use cases, including data exploration, statistical modeling, feature engineering, ML model development, and GenAI use case enablement. You will collaborate with data engineers, architects, BI developers, and business stakeholders to deliver actionable insights and intelligent solutions.
 
 
 
 Key Responsibilities
 
 
 
 
 🔹 Data Exploration &amp; Feature Engineering:
 
 
 
 <ul>
 <li>
 Explore, profile, and analyze structured, semi-structured, and unstructured data across more than 11 enterprise source systems (e.g., SAP, Oracle Fusion, JIRA, Primavera, etc.)
 </li>
 <li>
 Perform data cleansing, feature selection, and transformation activities across Bronze and Silver layers of the Lambda Data Lakehouse architecture
 
 
 </li>
 </ul>
 
 🔹 Advanced Analytics &amp; ML
 
 
 
 <ul>
 <li>
 Develop, train, and optimize supervised and unsupervised machine learning models to support use cases such as customer churn prediction, financial chatbot insights, and operational efficiency improvements
 </li>
 <li>
 Support integration and deployment of ML models into the data platform using tools like Google Cloud AI Platform, Python, Snowflake, and Power BI
 
 
 </li>
 </ul>
 
 🔹 GenAI Enablement
 
 
 
 <ul>
 <li>
 Collaborate on use cases involving Generative AI and Large Language Models (LLMs) using structured and unstructured datasets
 </li>
 <li>
 Work with data architects to ensure the Lakehouse architecture supports these models effectively
 
 
 </li>
 </ul>
 
 🔹 Collaboration &amp; Business Engagement
 
 
 
 <ul>
 <li>
 Participate in workshops and requirement-gathering sessions with customer&rsquo;s business and technical teams
 </li>
 <li>
 Translate business questions into data science problems, and present findings in actionable, business-friendly formats (dashboards, reports, presentations)
 
 
 </li>
 </ul>
 
 🔹 Quality, Testing &amp; Governance
 
 
 
 <ul>
 <li>
 Document assumptions, modeling approaches, and validations
 </li>
 <li>
 Participate in unit testing, QA, and UAT activities related to predictive analytics and AI models
 </li>
 <li>
 Ensure compliance with NDMO, PDPL, and customer&rsquo;s internal data governance policies
 
 
 </li>
 </ul>
 
 Required Skills And Experience
 
 
 
 <ul>
 <li>
 Strong experience in data science or machine learning roles on large-scale enterprise data projects
 </li>
 <li>
 Strong hands-on experience in:
 </li>
 <ul>
 <li>
 Python, Pandas, Scikit-learn, TensorFlow or PyTorch
 </li>
 <li>
 SQL (Snowflake or Google BigQuery preferred)
 </li>
 <li>
 Data wrangling and feature engineering
 </li>
 </ul>
 <li>
 Experience with ML lifecycle and MLOps tools on Google Cloud Platform (GCP)
 </li>
 <li>
 Familiarity with data versioning, CI/CD for ML, and monitoring ML pipelines
 </li>
 <li>
 Knowledge of APIs, data integration methods, and working with virtualized layers (e.g., Denodo)
 </li>
 <li>
 Exposure to BI visualization tools like Power BI
 </li>
 <li>
 Understanding of data privacy, security, and model fairness in regulated environments
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Google Cloud Certified Data Engineer / Machine Learning Engineer (preferred but not mandatory)
 </li>
 <li>
 Experience working in real estate or public sector is a plus
 </li>
 <li>
 Understanding of data cataloging, metadata, and lineage concepts using Informatica Cloud
 
 
 </li>
 </ul>
 
 Soft Skills
 
 
 
 <ul>
 <li>
 Strong analytical mindset and problem-solving skills
 </li>
 <li>
 Excellent communication and stakeholder engagement abilities
 </li>
 <li>
 Ability to work under pressure and deliver in fast-paced, multi-vendor environments
 
 
 </li>
 </ul>
 At DXC Technology, we believe strong connections and community are key to our success. Our work model prioritizes in-person collaboration while offering flexibility to support wellbeing, productivity, individual work styles, and life circumstances. We&rsquo;re committed to fostering an inclusive environment where everyone can thrive.
 
 
 Recruitment fraud is a scheme in which fictitious job opportunities are offered to job seekers typically through online services, such as false websites, or through unsolicited emails claiming to be from the company. These emails may request recipients to provide personal information or to make payments as part of their illegitimate recruiting process. DXC does not make offers of employment via social media networks and DXC never asks for any money or payments from applicants at any point in the recruitment process, nor ask a job seeker to purchase IT or other equipment on our behalf. More information on employment scams is available here
 
 .
 
</div>

Data Scientist

Bosta

<div>
 
 Company Overview:
 
 
 
 Bosta is a rapidly growing tech startup aiming to revolutionize the logistics and financing landscape for e-commerce in the Middle East and Africa regions. The company specializes in catering to individuals who leverage social media platforms to sell their products. Bosta's mission is to empower e-commerce entrepreneurs to succeed by providing end-to-end solutions that streamline digital trade, and logistics and facilitate financing.
 
 
 
 About Our Engineering.
 
 
 
 Exceptional software is integral to our vision for changing the delivery business. For our customers, we care deeply about delivering amazing user experiences. Delivery can be a messy business, but our customers love our intuitive and easy-to-use software.
 
 
 For the internal teams, we write software to run every part of our business: Operations, CS, accounting, and Sales. As we scale, automation, data, and AI will enable our team to move faster and smarter than the competition.
 
 
 As a Startup in the growth phase, our current challenge is to migrate to new technologies, rebuild some services, make changes in our software architecture, and build whole new products.
 
 
 
 Here's what you'll be doing at Bosta:
 
 
 
 <ul>
 <li>
 Monitor, maintain, and optimize database performance
 </li>
 <li>
 Troubleshoot and resolve database-related issues
 </li>
 <li>
 Ensure data integrity and implement security measures
 </li>
 <li>
 Collaborate with the development team to support database design and architecture
 </li>
 <li>
 Manage database backups, restorations, and disaster recovery processes
 </li>
 <li>
 Perform regular database updates, patches, and upgrades
 </li>
 <li>
 Document database processes, standards, and procedures
 
 
 
 </li>
 </ul>
 
 Who you are!
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science or a related field
 </li>
 <li>
 0-1 year of experience as a Database Support Engineer or in a similar role
 </li>
 <li>
 Exceptional problem-solving skills
 </li>
 <li>
 Proficiency in using structured and unstructured databases
 </li>
 <li>
 Excellent communication skills
 
 </li>
 </ul>
</div>

Junior Software Support Engineer (Fulfillment)

Coca-Cola HBC

<div>
 
 
 Department:
 
 Data &amp; Automation, Digital &amp; Technology Platform Services.
 
 
 
 Location:
 
 Egypt, Cairo.
 
 
 
 
 
 As a
 
 Operations Engineer specializing in SAP BW
 
 , you will play a crucial role in ensuring the reliability, scalability, automation, and performance of our SAP BW system. You will collaborate closely with development and operations teams to enhance system reliability, optimize data processes, and develop automation solutions to streamline operations. Your role will focus on minimizing downtime, troubleshooting complex issues, and driving continuous improvements in SAP BW and related data platforms.
 
 
 
 
 
 
 YOUR KEY RESPONSIBILITIES:
 
 
 
 
 &bull;
 
 
 Proactive Improvements:
 
 Proactively analyze incident patterns to provide diagnostic insights, helping to identify problems and driving their resolution in collaboration with product team. Increase data quality focusing on data quality monitoring and data reconciliation processes.
 
 
 
 &bull; Complex Problem Troubleshooting:
 
 Lead troubleshooting efforts for complex issues in collaboration with L3 and L4 support partners, including proactive management of alerts and participation in crisis management teams as required, regardless of working hours. Collaborate with Level 2 and Level 3 support teams on Problem Management to resolve repetitive issues, ensuring minimal system disruptions.
 
 
 
 &bull; Operational Excellence:
 
 Influence and collaborate with product teams to prioritize and swiftly implement user stories focused on operational improvements
 
 
 
 &bull; Automation:
 
 Identify and implement automation opportunities to enhance operational efficiency in SAP BW data flows and reporting. Collaborate with Cybersecure team for improving security measures.
 
 
 
 &bull; Observability Utilization:
 
 Use observability toolbox such as Dynatrace, ServiceNow, Azure Monitor, and AquaSec to identify and implement product improvements and automations aimed at enhancing incident resolution, product performance and availability, enhance system stability and proactively detect issues.
 
 
 
 &bull; Collaboration:
 
 Collaborate with architects, DevOps, and L3 engineers to find solutions that improve product stability and reduce incidents with proactive, long-term approach. Work closely with architects, DevOps teams, and business stakeholders to optimize SAP BW operations and drive strategic improvements.
 
 
 
 &bull; SRE Community Engagement:
 
 Work with Central SRE, SIAM manager, and the SRE Community of Practice to leverage synergies and share best practices. Stay up to date with the latest SAP BW technologies, methodologies, and industry best practices.
 
 
 
 
 
 
 ARE THESE YOUR SECRET INGREDIENTS?
 
 
 
 &bull; University bachelor&rsquo;s or master&rsquo;s degree in Computer Science, Information Technology, Engineering, or related field
 
 
 &bull; Proven experience in Site Reliability Engineering, DevOps, or similar role
 
 
 &bull; 3+ years of professional experience in complex IT landscape
 
 
 &bull; Strong expertise in SAP BW tools and technologies, including:
 
 
 o SAP BW ODS Objects
 
 
 o SAP BW Data Marts
 
 
 o BEx Query Analyzer &amp; Designer.
 
 
 &bull; Knowledge of SAP BI/BW/HANA and other SAP modules (SAP ECC, SAP CRM, etc.)
 
 
 &bull; Experience with data warehousing and business intelligence methodologies
 
 
 &bull; Hands-on experience in SAP BW data modeling, ETL processes, and performance tuning
 
 
 &bull; Proven experience in building end-to-end solutions, from requirement gathering to deployment.
 
 
 &bull; Familiarity with reusable components, workflows, and libraries.
 
 
 &bull; Strong expertise in automation, monitoring, and performance tuning
 
 
 &bull; Strong collaboration and communication skills, with the ability to work effectively across teams
 
 
 &bull; Excellent problem-solving skills and the ability to work under pressure during incident resolution
 
 
 &bull; Fluency in English (written and verbal)
 
 
 
 
 
 
 ABOUT YOUR NEW TEAM:
 
 
 
 We are Coca-Cola Hellenic, a growth-focused consumer goods business and strategic bottling partner of the Coca-Cola Company. We bottle, distribute and sell an unrivalled range of products in 29 markets in Europe, Africa and Eurasia. As we do, we create value for all stakeholders, support socio-economic growth and build a more positive environmental impact.
 
 
 We bring together more than 30,000 people from over 70 nationalities, coming from five continents. The diversity of our markets, from mature to emerging economies, provides a wide range of attractive opportunities for growth.
 
 
 We nurture our talents. We give opportunities to people across all functions and levels, as well as different geographies, backgrounds and education. We are willing to take a risk on the people we believe in, even if they don&rsquo;t have the perfect experience. We have faith in what every person can be.
 
 
 And although we have so much to be proud of, we always stay humble. We believe the real magic happens &ndash; for us and for you &ndash; when we OPEN UP.
 
 
 
 
 
 
 AT COCA-COLA HBC, DIVERSITY HELPS US THRIVE
 
 
 
 At Coca-Cola HBC, we are an inclusive employer that thrives on diversity. This means our environment provides equal opportunities for all, regardless of race, color, religion, age, disability, sexual orientation, or gender identity. Join us in nurturing a culture where everyone belongs and contributes to our collective success.
 
</div>

Operations Engineer - SAP Business Warehouse

Henkel

<div>
 
 About this Position
 
 The Data Scientist enables value creation with data innovations (e.g. Applied data Science, Machine Learning, Artificial Intelligence, Quantitative Research &amp; Statistics) and productionizing data products. The team includes experts in analytics and finance, implementing analytical use cases for Adhesives unit (HAT), from product innovation to customer facing applications. The team is responsible for applying the latest tools and technologies as well as cloud services to design, build and run data driven AI solutions that contribute to Henkel&rsquo;s digitalization strategy.
 
 
 
 What You&acute;ll Do
 
 
 
 <ul>
 <li>
 Solve complex business problems with data; using data scientific tools to find solutions for challenges in the realm of both big and small data: developing custom data models and algorithms to apply to data sets
 </li>
 <li>
 Delivers data science products from idea to deployment
 </li>
 <li>
 Actively participate in cross-functional project teams in the execution of our analytics strategy, exploring emerging technologies and leveraging their full potential
 </li>
 <li>
 Develop processes and tools to monitor and analyze model performance and data accuracy
 </li>
 <li>
 Acts as data science ambassador across business units and functions
 
 
 </li>
 </ul>
 
 What makes you a good fit
 
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Network Engineering, Business informatics, or any relevant study
 </li>
 <li>
 3-5 years of relevant work experience
 </li>
 <li>
 Expert knowledge in at least one of the following data science areas: supervised or unsupervised machine learning, statistical modeling
 </li>
 <li>
 Business acumen and ability to work closely with non-technical teams
 </li>
 <li>
 High confidence in verbal and written communication.
 </li>
 <li>
 Experience using statistical computer languages (Python and SQL knowledge is a must)
 </li>
 <li>
 Experience analyzing data from 3rd party providers is preferable
 </li>
 <li>
 Microsoft Azure (DevOps, machine learning, databricks etc.) experience is preferable
 
 
 </li>
 </ul>
 
 Some perks of joining Henkel
 
 
 
 <ul>
 <li>
 Flexible work scheme with flexible hours, hybrid work model, and work from anywhere policy for up to 30 days per year
 </li>
 <li>
 Diverse national and international growth opportunities
 </li>
 <li>
 Globally wellbeing standards with health and preventive care programs
 </li>
 <li>
 Gender-neutral parental leave for a minimum of 8 weeks
 </li>
 <li>
 Employee Share Plan with voluntary investment and Henkel matching shares
 </li>
 <li>
 Comprehensive Health Insurance for employee + dependents
 </li>
 <li>
 Employee Assistance Program provides a wide range of mental health and wellbeing benefits
 
 
 </li>
 </ul>
 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.
</div>

Explore 361+ Data engineer in Cairo this September. Find roles across top companies and apply now to boost your career.

361 data engineer jobs IN Cairo

Data Engineer (m/f/d)

Data Engineer (Data Scientist – AI & Automation)

Data & Analytics Engineer

Data Scientist

Junior Software Support Engineer (Fulfillment)

Operations Engineer - SAP Business Warehouse

Data Scientist