114 Data Engineer jobs in Egypt

Responsibilities

• Develop, maintain, and optimize data pipelines for efficient data processing.
• Design and implement scalable data architectures.
• Ensure data integrity, quality, and security across various sources.
• Collaborate with data scientists, and to support business needs.
• Perform data cleansing, transformation, and integration from multiple sources.
• Monitor and troubleshoot data-related issues and optimize performance.
• Work with cloud-based and on-premises data storage solutions.
• Implement data governance policies and best practices.

Qualifications

• Strong proficiency in SQL and database management.
• Experience with ETL (Extract, Transform, Load) processes.
• Knowledge of programming languages like Python, Java, or Scala.
• Familiarity with cloud platforms (AWS, Azure, Google Cloud).
• Understanding of big data technologies (Hadoop, Spark).
• Strong analytical and problem-solving skills.
• Experience with data warehousing and data modeling.

Standort
Cairo, EG

Stellen-ID
: 5268

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 (Allgäu) 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 for a Data Engineer who will empower sonnen's business with data-driven insights, services and products with the help of sonnen's AWS-based analytics platform and by provisioning data from various sources from within and outside the company.

We're looking for someone who shares our values, who isn'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't hesitate to get in touch.

What you will do to help drive the energy transition:

• You develop and maintain data analysis processes with a variety of structured and unstructured data sources.
• You implement, test, and maintain infrastructural components of sonnen's analytics platform and deploy and maintain data models.
• You implement data quality checks and monitoring mechanisms to ensure accuracy, completeness, and consistency of data.
• You collaborate with the business SMEs and stakeholders to understand their data requirements and support their analysis and modeling needs.
• You adhere to stringent quality assurance and documentation standards using version control and code repositories (e.g., Gitlab).
• You stay up-to-date with emerging trends and technologies in data engineering, and assess their potential applications to our business needs.

What You Will Need On That Journey

• You hold a bachelor's degree in Computer Science or a related technical field
• You have 3+ years of relevant employment experience (Data Scientist, Engineer or Architect)
• You have experience with data architecture and warehousing solutions (e.g. AWS Redshift, Databricks)
• You continue to enhance the existing platform, creating the technical foundation for scalable processes. Both data and result quality are important to you.
• You have good knowledge of Python, Pandas, SQL, NoSQL, RestAPI
• You are fluent in English. German is a plus.

Stellensegment:
Computer Science, Quality Assurance, SQL, Database, Technology

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 (Allgäu) 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're looking for someone who shares our values, who isn'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't hesitate to get in touch.

What you will do to help drive the energy transition:

• (Senior) Define and design the architecture of our analytics platform, ensuring scalability, performance, and reliability.
• You design and build scalable data pipelines, ETL processes, and data lake and data warehousing solutions to support our analytics solutions.
• You develop and maintain data integration processes with a variety of structured and unstructured data sources.
• You implement, test, and maintain infrastructural components of sonnen's analytics platform and deploy and maintain data models.
• You implement data quality checks and monitoring mechanisms to ensure accuracy, completeness, and consistency of data.
• You define coding principles and support data scientists and analysts in implementing algorithms into operational solutions.
• Adhere to stringent quality assurance and documentation standards, utilizing version control and code repositories such as Gitlab.
• You stay up to date with emerging trends and technologies in data engineering and assess their potential applications to our business needs.
• (Senior) Share your knowledge by coaching/pair coding with more junior engineers.

What You Will Need On That Journey

• Bachelor's degree in computer science or a related technical field.
• +3 years of relevant employment experience in roles such as Data Scientist, Data Engineer, or Data Architect.
• +3 years of experience with ETL tools, Data Modeling, and Data Architecture.
• Experience with Big Data technologies such as Hadoop, Hive, and Spark.
• Ability to translate organizational goals into technical solutions.
• Experience with Infrastructure as Code (experience in Terraform and Ansible are a plus).
• Proficiency in Python, SQL, and NoSQL.
• Excellent communication and project management skills.

Stellensegment:
Computer Science, Database, Quality Assurance, Data Warehouse, Business Intelligence, Technology

JOB OBJECTIVE
As a Data Engineer at blnk, you will be responsible for building and maintaining data pipelines, ensuring the availability and quality of data that supports business decision-making and product development. You will work closely with data analysts, scientists, and engineers to collect, clean, and transform data into usable formats. Your role will involve developing ETL processes, managing databases, and supporting analytics initiatives to help the company become more data driven.

KEY ACCOUNTABILITIES (Including But Not Limited To)

• Build, maintain, and optimize ETL processes and data pipelines.
• Support data modeling and database design to enable efficient reporting and analysis.
• Collaborate with analysts and data scientists to provide clean and well-structured datasets.
• Ensure data quality and consistency across different systems and sources.
• Monitor and troubleshoot data workflows to ensure reliability.
• Integrate data from multiple sources into centralized platforms.
• Document processes and data flows for transparency and reusability.
• Stay updated with modern data tools and suggest improvements where relevant.
• Collaborate with product and engineering teams to ensure data solutions meet business needs.

Education
QUALIFICATIONS, EXPERIENCE, SKiLLs
Bachelor's degree in computer science, Information Systems, or a related technical field.

Experience

• 1-2 years of relevant experience in data
• engineering or software engineering with data exposure.
• Solid understanding of SQL and relational databases.
• Experience with ETL tools or frameworks.
• Basic knowledge of cloud platforms (AWS, GCP, or Azure).
• Familiarity with Python or another programming language used in data processing.
• Understanding of data modeling and warehousing concepts.
• Strong problem-solving and analytical skills.
• Good communication and teamwork abilities.
• Eagerness to learn new tools and technologies.
• Strong analytical and problem-solving skills.
• Excellent written and verbal communication abilities.
• Ability to work effectively in a collaborative, fast-paced environment.
• Eagerness to learn and adapt to new technologies.

Why Join

• Technology-Driven Scale: is a tech-driven company that employs 140+ Business Analysts and 100+ software engineers working in AI and tech from 8+ countries.
• Fast Growth Path: A high-performance culture where impact is rewarded and growth is fast-tracked. 20% of our team members move into management within one year; one team member became CEO in just five years.
• Hub for Talent: Techies from Microsoft, Meta, Alshaya, Gymshark, Murex, and CMA CGM have joined us. We're also proud to have graduates from AUB, LAU, AUC, and CU powering our operations.
• Market Leader: With 26,000+ employees, we're the The UAE's #1 domestic worker provider and the second-largest employer in the country.

Join our AI‐driven company to build and scale a data infrastructure that powers every

decision.

What You'll Do

• Design and build the core data infrastructure. Develop and own data models and pipelines on Snowflake; create robust architectures that collect, store and process data to support analysis and decision‐making.
• Ensure data quality and governance. Implement data quality monitoring systems and anomaly detection to validate source‐to‐target transformations.
• Manage ingestion and transformation. Automate ingestion from APIs and internal systems, manage DBT projects, and orchestrate incremental pipelines.
• Collaborate across the business. Partner with security, product and enterprise teams to align on data governance requirements and use data to inform product decisions.
• Build analytics tools. Produce dashboards and internal tools that allow leadership to monitor performance and availability.
• Solve complex problems. Think creatively to find optimal solutions to unstructured data challenges.

What We're Looking For

• 0–3 years' experience designing and building large‐scale data pipelines in cloud environments.
• Proficiency SQL and Python; Experience integrating data across multiple systems, SnowFlake, and Dbt is a plus.
• Understanding of data products and how to support data science and machine‐learning initiatives.
• Strong communication and documentation skills; ability to translate business problems into technical solutions.
• BS/MS in Computer Science, Engineering or a related field.

What You'll Get

• Competitive salary and performance‐driven rewards.
• Hands‐on experience with AI, automation and real‐world business systems.
• A culture where high performance is recognized and career growth is accelerated.

Responsibilities (Functionalities And Activities)

• Data Engineering & Quality Develop and maintain ELT/ETL pipelines and SQL models, ensuring accurate data lineage and validation.
• Labeling & Feature Management Design labeling strategies and manage a structured feature catalog to support model development.
• Modeling & Experimentation Train and evaluate machine learning models, conduct A/B testing, and assess build-versus-buy decisions.
• Deployment & Integration Deploy models as services or APIs and integrate them into applications, low-code workflows, and chat systems.
• Monitoring & Lifecycle Management Monitor model performance (drift, latency, cost), schedule retraining, and manage rollbacks when necessary.

Qualifications

• 1-3 yrs building & deploying ML models in Python (sklearn, TensorFlow or PyTorch)
• Solid SQL & data-pipelines (ETL, Airflow or similar)
• Familiar with cloud services (GCP preferred; AWS/Azure fine)
• Basic REST API design & consumption.
• Hands-on with at least one of: fraud analytics, recommender systems, conversational AI
• Experience with low-/no-code automation (Google AppSheet, Power Automate, Zapier, etc.)
• Strong stakeholder communication.
• Able to balance quick wins with scalable architectures.
• B.Sc. or higher in Data Science, CS, Engineering, Statistics, or related.

Preferred

• Exposure to WhatsApp Business Cloud API, Twilio, or similar messaging platforms.
• Real-time data streaming (Kafka, Pub/Sub, Kinesis)
• MLOps tooling (Docker, Kubernetes, Kubeflow, MLflow)
• Experience with feature stores & vector databases for personalization.
• Arabic & English fluency.

Data Engineer (8 Positions)- Arabic Speakers due to client restrictions

Location: Riyadh, KSA

Position Objective

Design, develop, and maintain efficient data pipelines and infrastructure to enable data-driven decision-making for business and analytical applications. Ensure high-quality, accessible data through robust ETL processes, database management, and data warehouse integration, supporting actionable insights for stakeholders

Job Description & Responsibilities

• Design and execute ETL processes using tools like Informatica to extract, transform, and load data from diverse sources into data warehouse
• Build and maintain database structures and schemas to support efficient data storage and retrieval
• Write and optimise complex SQL queries, linking multiple data sources for analysis and reporting.
• Ensure data quality through validation, cleansing, and modelling techniques to meet business needs.
• Link and upload data to data warehouses, ensuring seamless integration and performance.
• Format and prepare data for use in BI tools to enable effective visualisation and analytics.
• Collaborate with data analysts, BI developers, and stakeholders to deliver scalable data solutions.
• Monitor and troubleshoot data pipelines to ensure reliability, scalability, and performance.
• Document data processes, schemas, and workflows to support team collaboration and compliance.

Qualifications & Experience.

• Bachelor's degree in Computer Science, Information Technology, or a related field; a Master's degree is a plus
• ETL Expertise (Mandatory): 5+ years of data engineering experience, with hands-on expertise designing and executing ETL processes using Informatica.
• SQL Mastery (Mandatory): Advanced proficiency in writing and optimising complex SQL queries for data analysis and linking multiple sources.
• Data Warehouse Integration (Mandatory): Proven experience linking and uploading data to data warehouses, ensuring seamless integration and performance.
• Experience building and optimising database schemas and structures.
• Strong understanding of data quality practices and data modelling techniques.
• Ability to format data for BI tools to support analytics and visualisation.
• Familiarity with additional ETL tools (e.g., Talend, Apache NiFi) or cloud platforms (e.g., AWS, Azure) is a plus.
• Passion for building scalable, data-driven solutions in a dynamic environment.

Minimum 5 years and Maximum 8-10 years only

We are looking for a highly skilled Data Engineer with significant technical skills in Azure and business acumen to join our team in Coca-Cola Hellenic Digital & Technology Platform Services (DTPS) and be part of the Analytics Products Engineering team. You will have the opportunity to contribute to the strategy, design and development of our Analytics use cases, providing insights and supporting decision making for end users. The role involves significant collaboration with business and IT teams, and an opportunity to integrate & transform data from various systems into structures that are suitable for building analytical solutions, by developing efficient Azure-based data pipelines.

YOUR NEW KEY RESPONSIBILITIES:

• Collaborate with CCH architects across different IT (DTPS) teams and with cross-functional teams to gather requirements, define technical specifications, and provide architectural guidance for Azure projects. Contribute and align on the strategy, design and implementation of the end2end data journey to expose analytics insights for consumption by different reporting layers;
• Ability to load data from Azure Data Sources (Azure SQL Databricks Warehouse/Synapse), visualize data, setup data refresh, analyze and write queries in SQL;
• Develop and implement data governance and data quality frameworks to ensure the integrity and accuracy of data;
• Design, develop, implement and optimize data pipelines for scalability, performance, security and cost efficiency. Optimize data storage, retrieval, and processing techniques to achieve high performance and cost efficiency;
• Implement security and access control measures to protect sensitive data within Azure environments;
• Perform data profiling, analysis, and validation to identify and address data quality issues.
• Develop and maintain documentation for data solutions, including data models, data flows, and technical specifications;
• Stay up to date with the latest Azure data services, tools, and best practices, and provide recommendations for their adoption;
• Lead and guide Azure developers and data engineers from vendors, providing guidance and support in Azure data engineering techniques and methodologies and ensuring development as per CCH standards and guidelines;
• Ability to understand business requirements and convert into clearly documented technical requirements (dimensions, KBIs, data structure, data granularity, target users), following the agreed guidelines, standards and rules;
• Collaborate with DevOps teams to implement continuous integration and delivery pipelines for Azure-based applications;
• Collaborate with and support PowerBI developers to test different approaches for data connections and data transfers to Power BI, to identify the optimal approach per use case considering data volume, Power BI performance, as well as data quality and security considerations.

ARE THESE YOUR SECRET INGREDIENTS?

• Deep hands-on experience with MS Azure Data Factory, MS Azure Data Lake Storage, SQL Database (T-SQL), Azure Databricks, Proficiency in SQL and data manipulation languages for data extraction, transformation, and loading.
• 3+ years of experience in data engineering, data science or related field, with a focus on Azure data platforms
• Deep hands-on experience in Python; pyspark
• Experience with data visualization tools and techniques for creating meaningful data insights (e.g., Power BI, PowerApps) is appreciated;
• Experience with Data Science techniques, such as feature engineering and modeling is appreciated;
• Experience in performance optimization techniques in Azure technologies for PowerBI reporting consumption is a plus;
• Experience with big data architectures and large data volumes technologies (partitioned tables with billions of records, files with hundreds of GBs). Familiarity with big data technologies such as Hadoop, Spark, and Hive;
• Strong hands-on understanding of DevSecOps concepts and tools. Expertise in practical implementation of DevSecOps, in particular Azure DevOps toolkit and automated testing capabilities;
• Strong understanding of DevOps principles and experience with CI/CD pipelines, version control systems (e.g. Git), and automated deployment tools;
• Design and implement data pipelines and ETL processes, ensuring data quality and availability for machine learning models, while possessing a foundational understanding of machine learning concepts and techniques.
• Develop and maintain scalable machine learning pipelines and infrastructure, ensuring seamless integration and deployment of models in production environments (MLOps).
• Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent practical experience);
• Knowledge of SAP BW (extractors, transformations, queries, data export) would be appreciated.
• Understanding of Agile methodology and SAFe Agile is appreciated;
• Strong communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams, stakeholders and vendors;
• Azure certification, such as Azure Data Engineer Associate, is a plus.

ABOUT YOUR NEW TEAM

We are a family of 33 thousand engaged people. Each and every one of us is the secret ingredient of Coca-Cola HBC - one of the world's largest bottlers and partner of The Coca-Cola Company. Our every day mission is to delight over 715 million consumers by offering a choice of over 100 iconic global and favorite local brands in the moments that matter, 24 hours a day, 7 days a week. We are a truly empowered and talented team that drives superior results by winning and learning every day in 29 countries, across 3 continents. Our success comes from us working together as one to make a positive difference for the local communities we serve.

AT COCA-COLA HBC, DIVERSITY HELPS US THRIVE

Including and celebrating different people and opinions is embedded in our growth story. We are committed to fostering diverse teams that reflect the communities we serve, and to creating an inclusive environment where everyone's unique perspectives are valued and heard. By constantly building a diverse and inclusive workplace, we enrich our decision-making and provide ever more innovative solutions and shared value