data analyst

data scientist

data center engineer

data engineer

frontend developer

data developer

Coca-Cola HBC

<div>
 
 
 Department:
 
 Digital Factory, Digital &amp; Technology Platform Services.
 
 
 
 Location:
 
 Cairo, Egypt.
 
 
 
 
 
 We are looking for a highly skilled and experienced
 
 Azure Data Developer
 
 with
 
 significant technical skills in Azure and business acumen
 
 to join our team in Coca-Cola Hellenic Digital &amp; Technology Platform Services (DTPS) and be part of the BI Reporting team. You will have the opportunity to contribute to the strategy, design and development of our Enterprise and Operational Reporting, providing insights and supporting decision making for end users. The role involves significant collaboration with business and IT teams, opportunity to integrate &amp; transform data from various data systems into structures that are suitable for building analytical solutions, design, develop and implement Azure-based solutions connecting certified and validated data sources to Power BI front-end visualizations and creating a single source of truth for reporting in CCH.
 
 
 
 
 
 
 YOUR KEY RESPONSIBILITIES:
 
 
 
 &bull; Assist in the design, development, and maintenance of ETL (Extract, Transform, Load) processes using Azure Data Factory
 
 
 &bull; Implement data ingestion processes from various data sources into Azure data storage solutions.
 
 
 &bull; Work with Azure SQL Database, Azure Data Lake Storage, and Hive &amp; Databricks to store and manage large datasets (Terabytes of data)
 
 
 &bull; Ensure data integrity and availability by implementing appropriate storage solutions
 
 
 &bull; Integrate data from various sources, ensuring accuracy, completeness, and consistency
 
 
 &bull; Collaborate with data scientists and analysts to understand data requirements and provide necessary support
 
 
 
 
 
 
 ARE THESE YOUR SECRET INGREDIENTS?
 
 
 
 &bull; Bachelor's or Master&rsquo;s degree in computer science, information technology, data science, or a related field (or an equivalent of 5+ years of practical experience in a tech-domain)
 
 
 &bull; Hands-on experience with MS Power BI, MS PowerApps, MS Azure Data Factory, MS Azure Data Lake Store, SQL Database (T-SQL), DAX &amp; Power Query M (3+ years)
 
 
 &bull; Proven track record of implementing proof-of-concept (POC) backend solutions
 
 
 &bull; Expert knowledge with cloud platforms (Azure, Google Cloud Storage, Amazon), preferably Microsoft Azure &ndash; with a focus on data warehousing &amp; backend development
 
 
 &bull; Strong programming skills in languages such as C#, .NET, Python, Scala or Java
 
 
 &bull; Experience with big data architectures and large data volumes technologies (partitioned tables with billions of records, files with hundreds of GBs)
 
 
 &bull; Familiarity with big data technologies such as Hadoop, Spark, and Hive as well as strong knowledge with data manipulation frameworks such a PySpark
 
 
 &bull; Experience with big data architectures and large data volumes technologies (partitioned tables with billions of records, files with hundreds of GBs) are a plus
 
 
 &bull; First proven leadership capabilities towards junior employees and a proactive approach to project management is a plus
 
 
 &bull; Strong analytical &amp; problem-solving abilities, as well as good communication skills
 
 
 &bull; Strong willingness to learn and adapt to new technologies and tools
 
 
 &bull; Good proficiency in English as a day-to-day business language is a must.
 
 
 
 
 
 
 Preferred qualifications:
 
 
 
 &bull; Strong hands-on understanding of data modelling concepts and techniques as well as DevSecOps concepts and tools and practical experience in their implementation
 
 
 &bull; Strong understanding of DevOps principles and experience with CI/CD pipelines
 
 
 &bull; Working experience within the SAFE Agile framework is appreciated
 
 
 &bull; Knowledge of SAP BW (extractors, transformations, queries, data export) and Azure Data Sources would be appreciated
 
 
 
 
 
 
 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>

Azure Data Developer

Oscar

<div>
 
 
 Cairo, Egypt (Hybrid - 4 days onsite)
 
 
 
 
 650,000 EGP - 1,400,000 EGP base salary (DOE)
 
 
 
 
 Full-time | Permanent
 
 
 
 
 ( + Transportation Allowance + Strong benefits package)
 
 
 
 
 
 
 
 
 About the Company
 
 
 
 
 
 
 
 We have partnered with a large, internationally recognised manufacturing, distribution, and sales organisation operating across multiple global markets. With a strong focus on digital transformation, data-driven decision making, and modern cloud platforms, they are investing heavily in enterprise analytics, reporting, and scalable data solutions that support both operational and strategic outcomes.
 
 
 
 
 
 
 
 The Role
 
 
 
 
 
 
 
 The organisation is seeking an experienced
 
 Senior Azure Data Engineer / Developer
 
 to join its Digital &amp; Technology function, working closely with BI and Reporting teams. This role plays a critical part in designing, building, and optimising Azure-based data pipelines and analytical solutions that serve as a single source of truth for enterprise and operational reporting.
 
 
 The successful candidate will collaborate with business stakeholders, analysts, and engineers to integrate and transform data from multiple systems into high-quality, trusted datasets that power Power BI dashboards and analytics products.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Design, develop, and maintain
 
 ETL pipelines
 
 using
 
 Azure Data Factory
 
 </li>
 <li>
 Ingest and transform data from multiple source systems into
 
 Azure Data Lake Storage
 
 and
 
 Azure SQL
 
 </li>
 <li>
 Work with large-scale datasets (terabytes of data, partitioned tables, high-volume files)
 </li>
 <li>
 Build and optimise data solutions using
 
 Databricks, Spark, Hive
 
 , and
 
 PySpark
 
 </li>
 <li>
 Ensure data quality, integrity, availability, and performance across reporting layers
 </li>
 <li>
 Support BI teams by delivering certified datasets for
 
 Power BI
 
 consumption
 </li>
 <li>
 Collaborate with data scientists, analysts, and platform teams on data requirements
 </li>
 <li>
 Contribute to cloud best practices, DevOps processes, and CI/CD pipelines
 </li>
 <li>
 Mentor junior team members and contribute to technical decision-making (senior level)
 </li>
 </ul>
 
 
 
 
 
 Required Skills &amp; Experience
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Information Technology, Data Science, or a related discipline (or 7+ years of equivalent hands-on experience in a technical data-focused role)
 </li>
 <li>
 3&ndash;5+ years of hands-on experience working with Azure Data Factory and Azure Data Lake Storage in production environments
 </li>
 <li>
 Proven experience delivering data solutions at scale, working with large and complex datasets (terabytes of data, partitioned tables, high-volume files)
 </li>
 <li>
 Strong hands-on experience with Power BI, including DAX and Power Query M
 </li>
 <li>
 Solid experience with Azure SQL Database and advanced T-SQL
 </li>
 <li>
 Practical experience with Databricks, Spark, Hive, and PySpark for big data processing
 </li>
 <li>
 Strong programming skills in Python, C#, .NET, Scala, or Java
 </li>
 <li>
 Experience working with cloud platforms, preferably Microsoft Azure (experience with AWS or GCP is a plus)
 </li>
 <li>
 Good understanding of DevOps principles and experience working with CI/CD pipelines
 </li>
 <li>
 Demonstrated ability to collaborate with business and technical stakeholders to translate requirements into scalable data solutions
 </li>
 <li>
 Strong analytical, problem-solving, and communication skills
 </li>
 <li>
 Professional working proficiency in English
 </li>
 </ul>
 
 
 
 
 
 Nice to Have
 
 
 <ul>
 <li>
 Experience with
 
 DevSecOps
 
 practices
 </li>
 <li>
 Exposure to
 
 SAFE / Agile
 
 delivery environments
 </li>
 <li>
 Knowledge of
 
 SAP BW
 
 or enterprise ERP data sources
 </li>
 <li>
 Previous leadership or mentoring experience
 </li>
 </ul>
 
 
 
 
 
 What&rsquo;s on Offer
 
 
 <ul>
 <li>
 Competitive salary:
 
 650,000 EGP - 1,400,000 EGP
 
 , depending on experience
 </li>
 <li>
 
 Hybrid working model
 
 (4 days onsite in Cairo)
 </li>
 <li>
 Private healthcare, annual bonus plus more benefits
 </li>
 <li>
 Transportation / Car Allowance
 </li>
 <li>
 Long-term career growth in a stable, well-funded organisation
 </li>
 </ul>
 
 
</div>

Azure Data Engineer / Developer

Accenture

<div>
 
 Role Overview:
 
 
 
 As an Oracle Data Loading Developer Consultant, you will design, develop, and maintain advanced data solutions to support data generation, collection, and processing. You will focus on creating efficient data pipelines, ensuring data quality, and implementing ETL processes for seamless data migration and deployment across systems. This role requires subject matter expertise, collaboration with cross-functional teams, and contributing to impactful decisions while providing innovative solutions.
 
 
 
 Key Responsibilities:
 
 
 
 
 <li>
 Design and develop robust data solutions to optimize operational efficiency.
 
 </li>
 <li>
 Build and maintain reliable data pipelines, ensuring high performance and data quality.
 
 </li>
 <li>
 Implement ETL processes for effective data migration and deployment across systems.
 
 </li>
 <li>
 Collaborate with cross-functional teams to identify and implement data-driven strategies.
 
 </li>
 <li>
 Conduct regular assessments to monitor and improve data quality.
 
 </li>
 <li>
 Stay updated with industry trends and best practices in data engineering.
 
 </li>
 <li>
 Provide solutions to complex problems within your team and across multiple teams.
 
 </li>
 <li>
 Contribute to key decisions and ensure alignment with organizational goals.
 
 </li>
 <li>
 Expert Proficiency: Oracle Data Integrator (ODI), Data Migrations, Data Access, Data Engineering, and Data Pipelines.
 
 </li>
 <li>
 Advanced Proficiency: Data Processing methodologies and tools.
 
 </li>
 <li>
 Strong problem-solving and analytical skills.
 
 </li>
 <li>
 Ability to collaborate effectively across teams and drive data-driven strategies.
 
 </li>
 <li>
 Commitment to maintaining high standards of data governance and quality assurance.
 
 
 
 </li>
</div>

Oracle Data Loading Developer-Consultant

sonnen Egypt

<div>
 
 Standort
 
 
 
 Cairo, EG
 
 
 
 Stellen-ID
 
 : 4758
 
 
 Join the energy revolution with #teamsonnen!
 
 
 At sonnen, we&rsquo;re driven by a clear goal: creating a future powered by clean, affordable energy for everyone. That&rsquo;s why we make our customers independent &ndash; not only from fossil fuels, but also from rising electricity costs.
 
 
 The key to this independence is our intelligent, all-in-one energy system. It combines solar panels, battery storage, energy tariffs, and wallboxes &ndash; all developed and manufactured in Germany.
 
 
 As the first and only provider in Germany, we also connect thousands of home batteries into one shared network: the sonnenVPP, our industry-leading virtual power plant.
 
 
 In short: every day, we&rsquo;re working to shape the energy future. And we&rsquo;d be thrilled to have you join us!
 
 
 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, Data Warehouse, Business Intelligence, Quality Assurance, Project Manager, Technology
</div>

Data Engineer (m/f/d)

Valify Solutions

<div>
 
 Role Description
 
 
 
 This is a full-time hybrid role for a Senior Frontend Developer ReactJS at Valify Solutions. The Senior Frontend Developer will be responsible for back-end and front-end web development, responsive web design, and software development. This role will involve collaborating with the team while also having the flexibility for some remote work.
 
 
 
 What You&rsquo;ll Do As a ReactJS Developer
 
 
 
 <ul>
 <li>
 Develop and maintain responsive web and mobile applications integrated with a Python backend.
 </li>
 <li>
 Build interactive, scalable dashboards for data visualization and management.
 </li>
 <li>
 Collaborate with the design and backend teams to deliver seamless user experiences.
 </li>
 <li>
 Optimize application performance for smooth user interaction
 </li>
 </ul>
</div>

Frontend Developer

Kasrawy Group Careers

<div>
 Position: Oracle Developer.
 
 
 Job Summary:
 
 
 We are seeking an experienced Oracle Developer to join our dynamic team. As an Oracle Developer, you will be responsible for designing, developing, and maintaining Oracle database applications. You will work closely with our clients to understand their business needs and translate them into technical solutions.
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Design, develop, and maintain Oracle database applications.
 </li>
 <li>
 Collaborate with clients to gather and analyze business requirements.
 </li>
 <li>
 Develop database schemas, tables, and stored procedures.
 </li>
 <li>
 Write efficient and optimized SQL queries.
 </li>
 <li>
 Troubleshoot and debug database issues.
 </li>
 <li>
 Perform data migration and integration tasks.
 </li>
 <li>
 Create and maintain technical documentation.
 </li>
 <li>
 Keep up-to-date with new Oracle features and technologies.
 
 
 
 </li>
 </ul>
 Qualifications:
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Information Technology, or a related field.
 </li>
 <li>
 Minimum of 2 years of experience as an Oracle Developer.
 </li>
 <li>
 Strong knowledge of Oracle database concepts and architecture.
 </li>
 <li>
 Proficiency in SQL and PL/SQL programming.
 </li>
 <li>
 Experience with Oracle Forms and Reports.
 </li>
 <li>
 Familiarity with data modeling and database design principles.
 </li>
 <li>
 Excellent problem-solving and analytical skills.
 </li>
 <li>
 Ability to work independently and in a team environment.
 </li>
 <li>
 Good communication and interpersonal skills.
 
 
 
 </li>
 </ul>
 Contract Details:
 
 
 This is a full-time position with a competitive salary and benefits package. The working hours are from Sunday to Thursday.
 
 
 Occasional overtime may be required to meet project deadlines.
 
 
 Join Our Team:
 
 
 At Kasrawy Group, we believe that our employees are our greatest asset. We offer a supportive and collaborative work environment where you can grow and develop your skills. If you are passionate about Oracle development and want to be part of a dynamic team, we would love to hear from you. Apply now and take the next step in your career!
</div>

Oracle Developer

QNBeyond Plus

<div>
 
 About the Role
 
 
 We are looking for a motivated
 
 Data Engineer
 
 to join our
 
 Data Management and AI team
 
 and contribute to building scalable data platforms that power analytics and AI initiatives across our digital banking ecosystem.
 
 
 In this role, you will design and develop
 
 data pipelines, streaming infrastructure, and data warehouse solutions
 
 that enable reliable and high-performance data processing.
 
 
 This is an excellent opportunity for a
 
 junior data engineer
 
 looking to grow within a fast-paced fintech environment while working on modern data technologies.
 
 
 Team Overview
 
 
 The
 
 Data Management and AI team
 
 works across the entire technology stack within QNBeyond Plus.
 
 
 Our team collaborates with engineering, analytics, and product teams to manage, process, and analyze data that enables innovative digital banking experiences for our customers.
 
 
 Key Responsibilities
 
 
 Data Pipeline Development
 
 <ul>
 <li>
 Design and build scalable
 
 data pipelines for batch and real-time processing
 
 .
 </li>
 <li>
 Implement ETL/ELT workflows integrating data from
 
 APIs, databases, and event streams
 
 .
 </li>
 </ul>
 
 Streaming &amp; Event Processing
 
 <ul>
 <li>
 Develop and maintain
 
 streaming data pipelines using tools such as Kafka or similar platforms
 
 .
 </li>
 <li>
 Ensure
 
 low-latency, reliable, and fault-tolerant data delivery
 
 .
 </li>
 </ul>
 
 Data Transformation
 
 <ul>
 <li>
 Develop
 
 data enrichment and transformation workflows
 
 to convert raw data into business-ready datasets.
 </li>
 <li>
 Implement SQL transformations across layered architectures (
 
 raw &rarr; bronze &rarr; silver &rarr; gold
 
 ).
 </li>
 </ul>
 
 Data Warehouse Development
 
 <ul>
 <li>
 Design and maintain
 
 data warehouse models and schemas
 
 .
 </li>
 <li>
 Optimize query performance and storage design for analytical workloads.
 </li>
 </ul>
 
 Data Quality &amp; Reliability
 
 <ul>
 <li>
 Implement
 
 data validation and quality checks
 
 .
 </li>
 <li>
 Monitor data pipeline performance and ensure reliability.
 </li>
 </ul>
 
 Collaboration
 
 <ul>
 <li>
 Work closely with
 
 engineering, analytics, and product teams
 
 to deliver production-ready data solutions.
 </li>
 </ul>
 
 What We Are Looking For
 
 
 You must be:
 
 <ul>
 <li>
 
 Self-motivated
 
 , proactive, and results-driven
 </li>
 <li>
 A
 
 team player
 
 who enjoys collaboration and learning
 </li>
 <li>
 A
 
 problem solver
 
 who approaches challenges analytically
 </li>
 <li>
 
 Customer-oriented
 
 , committed to delivering high-quality data solutions
 </li>
 <li>
 
 Detail-oriented
 
 , especially regarding data quality and compliance
 </li>
 <li>
 Adaptable and eager to grow in a
 
 fast-paced fintech environment
 
 </li>
 </ul>
 
 Required Qualifications
 
 
 Education
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in
 
 Computer Science, Computer Engineering, or related field
 
 </li>
 </ul>
 
 Technical Knowledge
 
 <ul>
 <li>
 Understanding of
 
 computer systems and cloud environments
 
 </li>
 <li>
 Understanding of
 
 network protocols and system connectivity
 
 </li>
 </ul>
 
 Systems Skills
 
 <ul>
 <li>
 Experience using
 
 Linux command line tools
 
 </li>
 <li>
 Familiarity with
 
 SSH, SFTP, Bash, IP, ports, and networking concepts
 
 </li>
 </ul>
 
 Data Engineering Skills
 
 <ul>
 <li>
 Experience developing and optimizing
 
 ETL/ELT pipelines
 
 </li>
 <li>
 Experience with tools such as
 
 Informatica PowerCenter, Kafka, NiFi, or similar
 
 </li>
 </ul>
 
 Data &amp; Analytics
 
 <ul>
 <li>
 Strong
 
 SQL skills
 
 </li>
 <li>
 Understanding of
 
 data warehousing concepts and schema design
 
 </li>
 <li>
 Experience with
 
 data modeling and data lifecycle management
 
 </li>
 </ul>
 
 Programming
 
 <ul>
 <li>
 Programming experience using
 
 Python
 
 </li>
 <li>
 Scripting experience using
 
 Bash or similar tools
 
 </li>
 </ul>
 
 Experience
 
 <ul>
 <li>
 
 2+ years of experience working with ETL or data engineering workflows
 
 </li>
 <li>
 Experience with
 
 Informatica PowerCenter and MDM
 
 </li>
 <li>
 Experience developing and scaling
 
 data models within modern data warehouse architectures
 
 </li>
 <li>
 Experience implementing
 
 data enrichment and transformation logic
 
 </li>
 <li>
 Experience optimizing queries and storage design for analytics workloads
 </li>
 <li>
 At least
 
 1 year of experience in fintech, regulated environments, or PCI/DSS compliance
 
 is preferred
 </li>
 <li>
 Familiarity with
 
 performance monitoring tools
 
 </li>
 </ul>
</div>

Data Engineer

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