accountant – accounts receivable (junior)

data engineer

ai engineer, light

ai platform engineer

data analyst

devops engineer

big data engineer

Sana Commerce

<div>
 
 What started in 2007 with a pizza and a plan has grown into a fast-moving SaaS company empowering manufacturers, distributors, and wholesalers to thrive in complex B2B commerce.
 
 
 
 
 Our mission is simple: help businesses build stronger relationships through seamless digital commerce.
 
 
 
 
 At Sana Commerce, you&rsquo;ll join a team that&rsquo;s bold, growth-oriented, and customer-obsessed, where every engineer has real ownership and impact.
 
 
 
 
 We are looking for a
 
 Senior Data Engineer
 
 to design, build, and optimize our
 
 Azure and Databricks-based data infrastructure
 
 . You will play a critical role in developing scalable
 
 ETL pipelines, data ingestion frameworks, and
 
 
 contribute to
 
 
 AI/ML-powered solutions
 
 that drive internal decision-making and customer-facing insights.
 
 
 
 
 This is a hands-on role that requires expertise in
 
 Azure Data Services, Databricks, and Python/SQL
 
 . You will work closely with
 
 Data Architects, Engineers, and Product teams
 
 to develop robust data solutions that power
 
 analytics, personalization, and AI-driven customer experiences
 
 .
 
 
 
 
 
 
 Job Description
 
 
 
 
 
 Data Pipeline Development &amp; Infrastructure
 
 
 
 
 <ul>
 <li>
 Design, build, and maintain
 
 scalable data pipelines
 
 </li>
 <li>
 Develop
 
 real-time and batch data processing
 
 frameworks for structured and unstructured data.
 </li>
 <li>
 Implement
 
 ETL/ELT workflows
 
 to ingest data from various sources, ensuring
 
 high availability and performance
 
 .
 </li>
 <li>
 Optimize
 
 data storage and retrieval
 
 of data in (near) real time and batch processes
 </li>
 <li>
 Ensure
 
 cost-efficient
 
 and
 
 high-performance
 
 data infrastructure that scales with business needs.
 </li>
 </ul>
 
 
 Data Solutions &amp; AI-Driven Applications
 
 
 
 
 <ul>
 <li>
 develop data pipelines for
 
 ML recommenders, search functionality, and AI-enhanced features
 
 .
 </li>
 <li>
 Develop and maintain
 
 data models, APIs, and integrations
 
 to support analytics and customer applications.
 </li>
 <li>
 Support
 
 eCommerce-related data solutions
 
 , including product recommendations, customer segmentation, and personalization models.
 </li>
 </ul>
 
 
 Collaboration &amp; Continuous Improvement
 
 
 
 
 <ul>
 <li>
 Work closely with
 
 Data Architects, Analysts, and Product Teams
 
 to understand data requirements and deliver best-in-class solutions.
 </li>
 <li>
 Monitor and troubleshoot
 
 performance issues
 
 , ensuring high availability and efficiency of data pipelines.
 </li>
 <li>
 Continuously optimize
 
 cost, performance, and scalability
 
 of data engineering solutions.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 6+ years of experience as a
 
 Data Engineer
 
 , working with
 
 Azure and Databricks
 
 </li>
 <li>
 Strong expertise in
 
 data pipeline development, ETL workflows, and real-time/batch data processing
 
 .
 </li>
 <li>
 Experience in
 
 big data technologies, and large-scale data storage
 
 .
 </li>
 <li>
 Familiarity with
 
 data governance, security, and compliance best practices
 
 and
 
 tools
 
 </li>
 <li>
 Proficiency in
 
 Python,
 
 
 and
 
 
 SQL,
 
 for data transformation, data quality and automation.
 </li>
 <li>
 Strong experience in
 
 optimizing data performance and cost-efficiency in cloud environments
 
 .
 </li>
 </ul>
 
 
 Nice to Have
 
 
 
 
 <ul>
 <li>
 Experience with
 
 eCommerce data solutions
 
 , such as customer segmentation, recommendation engines, and personalization models.
 </li>
 <li>
 Knowledge of
 
 event-driven architectures, streaming data processing, and real-time analytics
 
 .
 </li>
 <li>
 Familiarity with
 
 LLM-based AI applications and OpenAI
 
 
 or similar
 
 
 APIs
 
 .
 </li>
 </ul>
 
 
 Why you&rsquo;ll love working here
 
 
 
 
 <ul>
 <li>
 Impact from day one &ndash; Join a scale-up where your ideas shape how global businesses operate online.
 </li>
 <li>
 Continuous learning &ndash; Access a structured onboarding rated 9.1/10 by previous hires, mentorship, and feedback culture.
 </li>
 <li>
 Hybrid flexibility &ndash; Work from our office in Alexandria 3 days per week and from home 2 days.
 </li>
 <li>
 Career growth &ndash; Expand your technical and leadership scope in a company built for long-term success.
 </li>
 </ul>
 
 
 Our values
 
 
 
 
 
 At Sana Commerce, our values drive everything we do:
 
 
 
 <ul>
 <li>
 Champions of Our League &ndash;
 
 We deliver lasting success, balancing quick wins and long-term value
 
 </li>
 <li>
 Supercharge Our Customers &ndash;
 
 We&rsquo;re revolutionizing B2B commerce together, helping our customers to lead and succeed.
 
 </li>
 <li>
 Determined to Grow &ndash;
 
 We embrace challenges, growing and raising the bar for ourselves and our industry.
 
 </li>
 <li>
 Bold Together &ndash;
 
 We dare to be bold because we have each other&rsquo;s back.
 
 </li>
 </ul>
 
 
 Ready to build reliability that scales?
 
 
 
 
 
 Apply now and help shape the foundation of our next-generation SaaS platform.
 
 
 
 
 
 
 Additional Information
 
 
 
 
 
 
 
 
 
 
 
</div>

Senior Data Engineer - Alexandria

Celfocus

<div>
 
 Make an impact
 
 by working for sectors where technology is the enabler, everything is ground-breaking and there&rsquo;s a constant need to be innovative.
 
 
 
 Create and enhance projects
 
 in Java, Python, Angular, PHP, .NET and so much more while diving in the world of Blockchain, Artificial Intelligence, Data Science, Security and Internet of Things.
 
 
 
 Be part of the team
 
 that combines business knowledge, technological edge and a design experience. Our different backgrounds and know-how are key in developing solutions and experiences for digital clients.
 
 
 
 Face challenges
 
 and learn other ways of thinking and seeing the world - there&rsquo;s always room for your energy and creativity.
 
 
 
 About The Role
 
 
 
 Data Engineer is responsible for building and maintaining Data Platforms. Recognizes the importance of data for the organization in the areas where it is the key to success. Maintaining an eye on the big picture and knowing the details of the business are decisive for this role.
 
 
 This role is focused on designing, developing, and maintaining the data platform required for data storage, processing, orchestration, and analysis.
 
 
 The mission involves implementing scalable and performant data pipelines and data integration solutions.
 
 
 Agnostic of data sources and technologies to ensure efficient data flow and high data quality, enabling data scientists, analysts, and other stakeholders to access and analyze data effectively.
 
 
 
 As a part of your job, you will:
 
 
 
 <ul>
 <li>
 Design, build, and maintain scalable data platforms
 </li>
 <li>
 Collect, process, and analyze large and complex data sets from various sources
 </li>
 <li>
 Develop and implement data processing workflows using data processing framework technologies
 </li>
 <li>
 Collaborate with cross-functional teams to ensure data accuracy and integrity
 </li>
 <li>
 Ensure data security and privacy through proper implementation of access controls and data encryption
 </li>
 <li>
 Extraction of data from various sources, including databases, file systems, and APIs
 </li>
 <li>
 Monitor system performance and optimize for high availability and scalability
 
 
 
 </li>
 </ul>
 
 What are we looking for?
 
 
 
 <ul>
 <li>
 8-9 years of experience with cloud platforms and services for data engineering (GCP and/or AWS and/or Azure)
 </li>
 <li>
 Proficiency in programming languages like Python, Java, or Scala
 </li>
 <li>
 Use of Big Data Tools such as Spark, Flink, Kafka, Elastic Search, Hadoop, Hive, Sqoop, Flume, Impala, Kafka Streams and Connect, Druid, etc.
 </li>
 <li>
 Knowledge of data modeling and database design principles
 </li>
 <li>
 Familiarity with data integration and ETL tools (e.g., Apache Kafka, Talend)
 </li>
 <li>
 Understanding of distributed systems and data processing architectures
 </li>
 <li>
 Strong SQL skills and experience with relational and NoSQL databases
 </li>
 <li>
 Familiarity with cloud platforms and services for data engineering (e.g., AWS S3, Azure Data Factory)
 </li>
 <li>
 Experience with version control tools such as Git
 
 
 
 </li>
 </ul>
 
 Nice to have:
 
 
 
 <ul>
 <li>
 Problem solving and analytical mindset
 </li>
 <li>
 Strong communication skills
 </li>
 <li>
 Proven ability to work independently and remotely
 </li>
 <li>
 Experience with Agile and Lean methodologies
 </li>
 <li>
 Leadership of small technical teams
 
 
 
 </li>
 </ul>
 
 Personal traits
 
 
 
 <ul>
 <li>
 Ability to adapt to different contexts, teams, and Clients;
 </li>
 <li>
 Teamwork skills but also a sense of autonomy;
 </li>
 <li>
 Motivation for international projects and ok if travel is included;
 </li>
 <li>
 Willingness to collaborate with other players;
 </li>
 <li>
 Strong communication skills.
 
 
 
 </li>
 </ul>
 At Celfocus, we are committed to cultivate a diverse and inclusive workplace. As an equal-opportunity employer, we welcome applicants of all backgrounds, gender identities, and abilities. We are dedicated to providing reasonable accommodations for candidates with specific needs. If you require any adjustments during the selection process, please inform our Talent Acquisition Team.
 
 
 
 Come join the Team!
 
 
 
 
 Celfocus is pioneering the future of business through Next-Gen Intelligence - the convergence of data, AI, and human creativity to build more autonomous and adaptive organisations.
 
 
 
 Guided by our core belief - Making Data Actionable - we partner with leading companies to co-create intelligent solutions that turn data into insight, agility, and business value.
 
 
 Operating in over 25 countries, we bring together business experts, data scientists, and AI engineers to turn complexity into clarity and vision into measurable impact.
 
 
 Founded in 2000, Celfocus is part of Novabase, listed on Euronext Lisbon.
 
 
 To know more, visit www.celfocus.com
</div>

Senior Data Engineer

sonnen Egypt

<div>
 
 Standort
 
 
 
 Cairo, EG
 
 
 
 Stellen-ID
 
 : 5268
 
 
 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 for a Data Engineer who will empower sonnen&rsquo;s business with data-driven insights, services and products with the help of sonnen&rsquo;s AWS-based analytics platform and by provisioning data from various sources from within and outside the company.
 
 
 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>
 You develop and maintain data analysis 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 collaborate with the business SMEs and stakeholders to understand their data requirements and support their analysis and modeling needs.
 </li>
 <li>
 You adhere to stringent quality assurance and documentation standards using version control and code repositories (e.g., 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>
 </ul>
 
 What You Will Need On That Journey
 
 
 
 <ul>
 <li>
 You hold a bachelor&rsquo;s degree in Computer Science or a related technical field
 </li>
 <li>
 You have 3+ years of relevant employment experience (Data Scientist, Engineer or Architect)
 </li>
 <li>
 You have experience with data architecture and warehousing solutions (e.g. AWS Redshift, Databricks)
 </li>
 <li>
 You continue to enhance the existing platform, creating the technical foundation for scalable processes. Both data and result quality are important to you.
 </li>
 <li>
 You have good knowledge of Python, Pandas, SQL, NoSQL, RestAPI
 </li>
 <li>
 You are fluent in English. German is a plus.
 
 
 </li>
 </ul>
 
 Stellensegment:
 
 Database, Quality Assurance, Computer Science, SQL, Technology
</div>

Data Engineer (m/w/d)

Halan - حالا

<div>
 
 Job Overview:
 
 
 We are seeking a talented and motivated Senior Data Engineer with expertise in Scala and Python to join our data engineering team. This individual will play a key role in the design, development, and optimization of our data infrastructure and data pipelines. The ideal candidate has a passion for building scalable, high-performance systems and is eager to broaden their knowledge across the entire data engineering stack, from hardware infrastructure to project development.
 
 
 Key responsibilities:
 
 
 &bull; Collaborate with cross-functional teams to design, develop, and maintain data engineering solutions using Scala, Python, and Apache Spark.
 
 
 &bull; Implementation of new data engineering technologies, frameworks, and tools, such as HDFS, MongoDB, and PostgreSQL, to enhance performance, scalability, and efficiency.
 
 
 &bull; Understand and optimize hardware and resource consumption for data engineering projects.
 
 
 &bull; Develop a deep understanding of hardware infrastructure, including servers, clusters, and distributed systems, to ensure optimal data processing and storage.
 
 
 &bull; Design and architect high-performance, fault-tolerant, and scalable data pipelines.
 
 
 &bull; Conduct research and stay current with the latest advancements in data engineering, hardware technologies, and distributed computing paradigms.
 
 
 &bull; Mentor and guide junior team members, fostering a culture of continuous learning and skill development.
 
 
 &bull; Collaborate with stakeholders to gather requirements, propose technical solutions, and deliver high-quality data engineering projects.
 
 
 Requirements:
 
 
 &bull; 2-3 years of professional experience as a Software Engineer, with a focus on data engineering.
 
 
 &bull; Keen interest in hardware infrastructure, resource consumption optimization, and data engineering project development.
 
 
 &bull; Proven ability to work effectively in an Agile development environment and manage multiple priorities.
 
 
 &bull; Strong problem-solving, analytical thinking, communication, and collaboration skills.
 
</div>

Data Engineer

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>

Coca-Cola HBC

<div>
 
 
 Department:
 
 Data, Insights &amp; Artificial Intelligence (DIAI)
 
 
 
 Location:
 
 Egypt
 
 
 
 
 
 As a Data Quality Engineer, you will play a key role in the design, build, configuration, monitoring and continuous improvement of Coca-Cola Hellenic&rsquo;s Data Quality Management products, with a primary focus on the Data Control Center (DCC).
 
 
 You will work closely with the Data Quality &amp; Standards Product Manager, Business Stakeholders, Business Unit Data Stewards and IT partners (DTPS), ensuring that data quality controls, monitoring and reporting enable reliable and trusted data across the organization.
 
 
 This is a hands-on data engineering role requiring strong technical skills in SQL, PySpark and Azure-based data platforms, combined with full ownership of deliverables from design to production support and the flexibility to handle ad-hoc requests and parallel priorities while translating business requirements into scalable and automated data quality solutions.
 
 
 
 
 
 
 YOUR NEW KEY RESPONSIBILITIES
 
 
 
 
 Data Quality Controls (DCC)
 
 
 
 &bull; Build, configure and maintain Data Quality controls in the Data Control Center (DCC).
 
 
 &bull; Translate business requirements into data quality rules, including logic definition, thresholds, exception handling and reduction of false positives.
 
 
 &bull; Ensure DQ controls are aligned with agreed business definitions and standards.
 
 
 
 
 
 
 Monitoring, Operations &amp; Issue Resolution
 
 
 
 &bull; Monitor DQ performance and ensure stable DCC operations, including regular refresh cycles and system reliability.
 
 
 &bull; Troubleshoot failed checks, investigate data issues and perform root-cause analysis in collaboration with relevant stakeholders.
 
 
 &bull; Support incident resolution and contribute to continuous operational improvements.
 
 
 
 
 
 
 Continuous Improvement &amp; Enhancement
 
 
 
 &bull; Implement improvements to existing DQ checks and contribute to the continuous enhancement of DCC capabilities.
 
 
 &bull; Identify opportunities to improve automation, scalability and reusability of controls and monitoring processes.
 
 
 &bull; Identify opportunities to automate monitoring and reduce manual effort for stakeholders.
 
 
 
 
 
 
 Reporting &amp; Dashboards
 
 
 
 &bull; Develop and maintain DQ dashboards and scorecards, enabling visibility of DQ KPIs, trends and drilldowns.
 
 
 &bull; Support stakeholders with insights and reporting to track performance and drive quality improvement actions.
 
 
 
 
 
 
 Data Standards Operationalization
 
 
 
 &bull; Support data standards operationalization by ensuring alignment between published standards and DQ checks.
 
 
 &bull; Support adoption and compliance visibility by enabling reporting and transparency on standards adherence.
 
 
 
 
 
 
 Collaboration &amp; Delivery Support
 
 
 
 &bull; Work closely with the Product Manager and business stakeholders to clarify requirements, validate solutions and ensure high usability and adoption.
 
 
 &bull; Collaborate with DTPS and vendors to deliver end-to-end solutions, including integration dependencies and technical enablement.
 
 
 &bull; Run demos and workshops when needed to support rollout, stakeholder understanding and adoption.
 
 
 Testing, Release &amp; Documentation
 
 
 &bull; Support release and testing activities, including UAT support and regression testing.
 
 
 &bull; Maintain basic documentation of implemented DQ checks, logic, definitions and changes.
 
 
 
 
 
 
 ARE THESE YOUR SECRET INGREDIENTS?
 
 
 
 &bull; 3+ years in data engineering / analytics engineering / data quality engineering
 
 
 &bull; Strong SQL and Python for scalable data validation and monitoring
 
 
 &bull; Experience working with Databricks and modern data pipelines (ADF or similar)
 
 
 &bull; Strong analytical and problem-solving mindset with attention to detail and quality.
 
 
 &bull; Ability to translate business requirements into technical implementation and measurable outcomes.
 
 
 &bull; Comfortable working across multiple stakeholders in a cross-functional environment.
 
 
 &bull; Strong communication skills and ability to explain technical topics to non-technical audiences.
 
 
 &bull; Ownership mindset: proactive, reliable and continuously improving solutions.
 
 
 
 
 
 
 REQUIRED TECHNICAL SKILLS
 
 
 
 &bull; SQL
 
 
 &bull; Python
 
 
 &bull; PySpark
 
 
 &bull; Azure Databricks
 
 
 &bull; Azure Data Factory
 
 
 &bull; Power BI
 
 
 
 
 
 
 NICE TO HAVE
 
 
 
 &bull; Power Platform (Power Automate, etc.)
 
 
 &bull; Microsoft Fabric
 
 
 &bull; Copilot Studio
 
 
 &bull; Experience working in a Data Mesh framework and/or domain data product mindset
 
 
 &bull; Good awareness of key SAP MDG, MM, S/4HANA domains
 
 
 
 
 
 
 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 - for us and for you - 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>

Koinz

<div>
 
 About Koinz:
 
 
 
 Koinz is a fast-growing social ecommerce mobile app specializing in food ordering and innovative loyalty programs across the MENA region, notably in Saudi Arabia and Egypt. We're dedicated to enhancing our users&rsquo; experiences through seamless, engaging, and rewarding interactions.
 
 
 
 Role brief:
 
 
 
 We are seeking a highly skilled and motivated Senior Data Engineer to join our dynamic and growing team. You will be instrumental in designing, developing, and optimizing our next-generation data infrastructure, driving key business insights.
 
 
 
 What You'll Bring:
 
 
 
 <ul>
 <li>
 3+ years of professional experience in data engineering or a related field
 </li>
 <li>
 Proficiency in developing data processing jobs using Apache Spark
 </li>
 <li>
 Experience with workflow orchestration tools, specifically Apache Airflow, including designing and maintaining complex DAGs
 </li>
 <li>
 Strong programming skills in Python (including data-related libraries like Pandas, NumPy) for scripting, automation, and ETL/ELT development
 </li>
 <li>
 Mastery of SQL for complex querying, data modeling, and performance tuning in various relational databases
 </li>
 <li>
 Solid understanding of data warehousing concepts, ETL/ELT principles, and dimensional modeling
 </li>
 <li>
 Excellent problem-solving skills and the ability to work independently and as part of a team
 
 
 </li>
 </ul>
 
 Key Responsibilities:
 
 
 
 <ul>
 <li>
 Design, build, and maintain efficient, scalable, and reliable data pipelines using Spark, Python, and Airflow
 </li>
 <li>
 Develop optimal SQL queries and stored procedures to ensure data quality and integrity
 </li>
 <li>
 Collaborate with data analysts to understand data needs and deliver data sets that power business decisions and machine learning models
 </li>
 <li>
 Implement robust monitoring, alerting, and logging for all data pipelines to ensure high operational stability
 </li>
 <li>
 Optimize data architecture for performance, cost-efficiency, and security
 
 
 </li>
 </ul>
 Powered by JazzHR
 
 
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</div>

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362 big data engineer jobs In Cairo

Senior Data Engineer - Alexandria

Senior Data Engineer

Data Engineer (m/w/d)

Data Engineer

Data Engineer

Data Engineer

Senior Data Engineer