project engineer

ai engineer

data analyst

sales engineer

bi analyst

data engineer

<div><h4 class="jobSectionHeader"><b>Job Description</b></h4>
<p></p><div><p>Key Responsibilities:<br>
&#61623; Develop, construct, test and maintain architectures<br>
&#61623; Align architecture with business requirements<br>
&#61623; Data acquisition<br>
&#61623; Develop data set processes<br>
&#61623; Use programming language and tools<br>
&#61623; Identify ways to improve data reliability, efficiency and quality<br>
&#61623; Conduct research for industry and business questions<br>
&#61623; Use large data sets to address business issues<br>
&#61623; Deploy sophisticated analytics programs, machine learning and statistical methods<br>
&#61623; Prepare data for predictive and prescriptive modeling<br>
&#61623; Find hidden patterns using data<br>
&#61623; Use data to discover tasks that can be automated<br>
&#61623; Deliver updates to stakeholders based on analytics<br>
&#61623; Assemble large, complex data sets that meet functional / non-functional business requirements.<br>
&#61623; Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.<br>
&#61623; Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using Any ETL Tool.<br>
&#61623; Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.<br>
&#61623; Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.<br>
&#61623; Keep our data separated and secure across national boundaries through multiple data centers and Cloud.<br>
&#61623; Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.<br>
&#61623; Work with data and analytics experts to strive for greater functionality in our data systems.</p>
<p>
Candidate Qualifications:<br>
Business Knowledge/Technical Skills:<br>
&#61623; Bachelor of Computer Science or Engineering<br>
&#61623; 2+ Years&rsquo; Experience<br>
&#61623; Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.<br>
&#61623; Experience building and optimizing &lsquo;big data&rsquo; data pipelines, architectures and data sets.<br>
&#61623; Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.<br>
&#61623; Strong analytic skills related to working with unstructured datasets.<br>
&#61623; Build processes supporting data transformation, data structures, metadata, dependency and workload management.<br>
&#61623; A successful history of manipulating, processing and extracting value from large disconnected datasets.<br>
&#61623; Working knowledge of message queuing, stream processing, and highly scalable &lsquo;big data&rsquo; data stores.<br>
&#61623; Strong project management and organizational skills.<br>
&#61623; Experience supporting and working with cross-functional teams in a dynamic environment.</p></div><p></p>
<h4 class="jobSectionHeader"><b>Skills</b></h4>
<p></p><div><p>For experience Data engineer<br>
&#61623; For experience Data engineer<br>
&#61623; Experience with big data tools: Hadoop, Spark, Kafka, etc.<br>
&#61623; Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.<br>
&#61623; Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.<br>
&#61623; Experience with AWS cloud services: EC2, EMR, RDS, Redshift<br>
&#61623; Experience with stream-processing systems: Storm, Spark-Streaming, etc.<br>
&#61623; Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc</p></div><p></p>
<h4 class="jobSectionHeader"><b>Education</b></h4>
<div><p>Bachelor degree of Engineering</p></div></div><p></p>
<br><div></div><div><div><h4 class="jobSectionHeader"><b>Job Details</b></h4>
<div><div>Job Location</div>
<div>Cairo, Egypt</div>
</div><div><div>Job Role</div>
<div>Information Technology</div>
</div><div><div>Employment Status</div>
<div>Full time</div>
</div><div><div>Employment Type</div>
<div>Employee</div>
</div></div><div><h4 class="jobSectionHeader"><b>Preferred Candidate</b></h4>
<div><div>Career Level</div>
<div>Entry Level</div>
</div><div><div>Years of Experience</div>
<div>Min: 2 Max: 5</div>
</div><div><div>Residence Location</div>
<div>Cairo, Egypt</div>
</div><div><div>Nationality</div>
<div>Egypt</div>
</div><div><div>Degree</div>
<div>Bachelor's degree</div></div></div></div>

Data Engineer

ArabyAds

<div><p>We&rsquo;re hunting for a <b>Data Engineer</b> who loves big data, fast streams, and clever solutions. In our AdTech playground, you&rsquo;ll design lightning-fast pipelines, tame massive datasets, and fuel smarter ad decisions for global brands.</p><p>
Think real-time bidding, machine-learning models, and Millions of events a day&mdash;if that sounds like your kind of challenge, let&rsquo;s talk.</p><p><b>
Responsibilities</b></p><ul>
<li>
Design, develop, maintain, and own data engineering projects based on requirements from product, BI, data science, and analytics teams.</li>
<li>Fulfill requirements related to data pipelines, warehouses, and databases.</li>
<li>Handle high-volume data ingestion using APIs, scrapers, parsers, and similar tools.</li>
<li>Create and optimize ingestion pipelines to collect and deliver data from multiple sources to targets.</li>
<li>Perform data cleaning and transformation on very large datasets.</li>
<li>Design and create SQL objects: tables, procedures, functions, and views.</li>
<li>Operate and maintain clusters and supporting infrastructure.</li>
<li>Evaluate, test, and update data applications as requirements evolve.</li>
<li>Monitor and report on data systems&rsquo; health, performance, and security.</li>
<li>Support internal teams, troubleshoot issues, and resolve them.</li>
<li>Follow best coding practices, participate in code reviews, and use CI/CD and version control tools efficiently.</li>
</ul><p><b>
Technical Competencies</b></p><p><b>
Must Have</b></p><ul>
<li>
3&ndash;5 years of experience in Data Engineering.</li>
<li>Python proficiency (mandatory).</li>
<li>Knowledge of data cleaning and data transformation on large datasets.</li>
<li>Knowledge of hardware resource management while handling large datasets (preferred but critical for performance).</li>
<li>Experience with Airflow for workflow orchestration.</li>
<li>Hands-on experience with SQL (queries, stored procedures, and database code).</li>
<li>Understanding of ETL/ELT processes, data lakes, and warehouses.</li>
<li>Experience with relational databases (MySQL, PostgreSQL, MariaDB).</li>
<li>Familiarity with Git, CI/CD pipelines, and writing unit tests.</li>
<li>Comfortable working in agile environments using Jira/Atlassian.</li>
</ul><p><b>
Preferred / Nice to Have</b></p><ul>
<li>
Knowledge of Hadoop, Spark, and Kafka.</li>
<li>Knowledge of equivalent technologies on AWS, GCP, or Azure.</li>
<li>Knowledge of Chalice framework.</li>
<li>Knowledge of Greenplum.</li>
<li>Knowledge of AI/ML techniques for user profiling and classification.</li>
<li>Experience with NoSQL databases (Aerospike, DynamoDB, Redis, Elasticsearch, Cassandra, MongoDB).</li>
<li>Knowledge of Snowflake (schemas, stages, pipes, tasks, procedures, views).</li>
<li>Experience with performance tuning, scalability issues, and hardware optimization.</li>
<li>Familiarity with ETL tools beyond Airflow.</li>
<li>Linux shell scripting knowledge.</li>
</ul><p><b>
Non-Technical Competencies</b></p><ul>
<li>
Strong English communication skills.</li>
<li>Positive, proactive, and collaborative attitude.</li>
<li>Ability to work independently and in a team.</li>
<li>Problem-solving mindset with innovative thinking.</li>
<li>Self-starter and contributor who thrives on challenges.</li>
</ul><p><b>
What we offer</b></p><ul>
<li>
Competitive Salaries in USD</li>
<li>Family Medical insurance</li>
<li>Hybrid mode</li></ul></div>

Tachyus

<div><p>We are looking for a Data Specialist with strong expertise in Python and Spotfire development to join our team. In this role, you will be responsible for transforming raw data into actionable insights by building, debugging, and optimizing scripts, as well as designing advanced dashboards and visualizations. The ideal candidate is both technically strong and business-aware, with knowledge of Oil &amp; Gas industry, data modeling best practices, and visualization design. If you are passionate about data, enjoy problem-solving, and want to drive real impact by delivering high-quality workflows and reporting solutions, we&rsquo;d love to hear from you.
<br>
<br>
<b>Key Responsibilities</b></p><br>
<ul>
<li>Develop, run, and debug the required set of scripts to handle a provided set of raw data files.</li>
<li>Ensure timely delivery of all project materials: scripts, dashboards, and documents.</li></ul><br>
<p><br>
<b>Requirements</b></p><br>
<ul>
<li>+10 years of experience</li>
<li>Strong expertise in <b>Python programming</b>, with the ability to write, debug, and optimize code.</li>
<li>Proven experience in <b>Spotfire development</b> for Business Intelligence, data visualization, and dashboard creation (note: this role is not focused on Power BI or Tableau).</li>
<li>Hands-on experience with <b>Spotfire scripting functions and blocks </b>for customization and automation.</li>
<li>Solid <b>data modeling skills - </b>capable of cleaning, transforming, and structuring raw data for reporting.</li>
<li>Familiarity with the <b>key KPIs of the Oil &amp; Gas industry</b>.</li>
<li>Strong grasp of <b>visualization best practices</b>, including chart selection, effective color usage, and user experience design.</li>
<li>Sharp <b>analytical thinking</b>, with the ability to interpret data, detect anomalies, and deliver actionable insights.</li></ul><br>
<p></p>
<p>
This position will require the candidate to be able to relocate to Middle Eastern countries for up to 60% of the time.</p></div>

EVA Pharma

<div><p>Join EVA Pharma, a leading pharmaceutical company dedicated to empowering the fight for Health and well-being as a fundamental human right. Recognized and certified as a best place to work, we are committed to fostering a supportive and innovative environment for our team members.</p><p></p><p>
Job Summary:
</p><p>We are seeking a passionate and talented <b>Data Engineer Senior Lead</b> to join our dynamic team. The ideal candidate will contribute to our mission of enhancing human health and well-being, ensuring that we meet the highest standards of excellence in our industry.<br>
<br>
<b>Key Responsibilities:</b></p><ul>
<li>
Design, develop, and maintain reliable ETL/ELT pipelines that move data from multiple sources into cloud-based warehouses such as Snowflake, BigQuery, or Databricks. Ensure real-time or near&ndash;real-time data processing for analytics dashboards and operational systems. Continuously fine-tune performance to handle growing data volumes efficiently.</li>
<li>Implement automated validation checks, anomaly detection, and alerting systems to maintain high data accuracy. Ensure all pipelines comply with data privacy and security standards (e.g., GDPR, SOC 2). Maintain clear documentation and data lineage to support audits and cross-team visibility.</li>
<li>Evaluate and introduce new tools like Airflow, dbt, Kafka, or Spark to improve efficiency and scalability. Collaborate with AI/ML teams to enable deployment and integration of advanced models.</li>
<li>Develop best practices for data modeling, storage optimization, and version control. Align data structures with key business metrics and analytics use cases to ensure consistency across departments.</li>
<li>Conduct design reviews, ensure high-quality code, and promote a collaborative culture focused on innovation and continuous improvement. Also, Mentor and coach data engineers to enhance their technical skills and improve project execution.</li>
</ul><p><b>
Requirements</b></p><p></p><ul>
<li>
Bachelor&rsquo;s degree in Data Science, Computer Science, Statistics, or a related field.</li>
<li>7-10 years of experience in data engineering or related fields, with at least 2 years in a leadership role.</li>
<li>Proven ability to design, build, and optimize scalable ETL/ELT pipelines and data workflows for analytics and operational use.</li>
<li>Strong skills in SQL and Python, with hands-on experience in cloud-based data platforms and distributed systems.</li>
<li>Deep understanding of data modeling, data warehousing, orchestration tools (e.g., Airflow, Prefect), and big data technologies such as Spark and Databricks.</li>
<li>Solid grasp of data governance, privacy, and security best practices, combined with strong problem-solving, architectural design, and cross-functional collaboration abilities.</li></ul></div>

Data Engineer Senior Lead

sonnen Egypt

<div>
 <strong>
  Standort
  <br/>
  <br/>
 </strong>
 Cairo, EG
 <br/>
 <br/>
 <strong>
  Stellen-ID
 </strong>
 : 4758
 <br/>
 <br/>
 At the earliest date possible we are looking for support for our #teamsonnen
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 <strong>
  What you will do to help drive the energy transition:
  <br/>
  <br/>
 </strong>
 <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.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What You Will Need On That Journey
  <br/>
  <br/>
 </strong>
 <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.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Stellensegment:
 </strong>
 Business Intelligence, Data Warehouse, Computer Science, Quality Assurance, Project Manager, Technology
</div>


Data Engineer (m/f/d)

<div>
 <strong>
  Standort
  <br/>
  <br/>
 </strong>
 Cairo, EG
 <br/>
 <br/>
 <strong>
  Stellen-ID
 </strong>
 : 5268
 <br/>
 <br/>
 At the earliest date possible we are looking for support for our #teamsonnen
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 <strong>
  What you will do to help drive the energy transition:
  <br/>
  <br/>
 </strong>
 <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.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What You Will Need On That Journey
  <br/>
  <br/>
 </strong>
 <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.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Stellensegment:
 </strong>
 Computer Science, Quality Assurance, SQL, Database, Technology
</div>


Data Engineer (m/w/d)

The Coca-Cola Company

<div><div><div><div><div><div><div><div>Egypt &bull; Greece &bull; Bulgaria
</div></div></div></div><div><div><div>Information Technology
</div></div></div><div><div><div>Hybrid
</div></div></div><div><div><div>Experienced Professionals
</div></div></div></div></div></div><div><div><div><div><div><div><p><b>DEPARTMENT: Data &amp; Automation</b></p><p><b>
REPORTS TO: Analytics &amp; Insights Platform Manager</b></p><p>
We are looking for a highly skilled <b>Data Engineer</b> with <b>significant technical skills in Azure and business acumen</b> to join our team in Coca-Cola Hellenic Digital &amp; Technology Platform Services (DTPS) and be part of the Analytics &amp; Insights 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 &amp; transform data from various systems into structures that are suitable for building analytical solutions, by developing efficient Azure-based data pipelines.</p><p><b>
YOUR NEW KEY RESPONSIBILITIES:</b></p><ul><li>
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;</li><li>
Ability to load data from Azure Data Sources (Azure SQL Databricks Warehouse/Synapse), visualize data, setup data refresh, analyze and write queries in SQL;</li><li>
Develop and implement data governance and data quality frameworks to ensure the integrity and accuracy of data;</li><li>
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;</li><li>
Implement security and access control measures to protect sensitive data within Azure environments;</li><li>
Perform data profiling, analysis, and validation to identify and address data quality issues.</li><li>
Develop and maintain documentation for data solutions, including data models, data flows, and technical specifications;</li><li>
Stay up to date with the latest Azure data services, tools, and best practices, and provide recommendations for their adoption;</li><li>
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;</li><li>
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;</li><li>
Collaborate with DevOps teams to implement continuous integration and delivery pipelines for Azure-based applications;</li><li>
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.</li></ul><p><b>
ARE THESE YOUR SECRET INGREDIENTS?</b></p><ul><li>
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.</li><li>
Deep hands-on experience in Python;</li><li>
Experience with data visualization tools and techniques for creating meaningful data insights (e.g., Power BI, PowerApps) is appreciated;</li><li>
Experience with Data Science techniques, such as feature engineering and modeling is appreciated;</li><li>
Experience in performance optimization techniques in Azure technologies for PowerBI reporting consumption is a plus;</li><li>
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;</li><li>
Strong hands-on understanding of DevSecOps concepts and tools. Expertise in practical implementation of DevSecOps, in particular Azure DevOps toolkit and automated testing capabilities;</li><li>
Strong understanding of DevOps principles and experience with CI/CD pipelines, version control systems (e.g. Git), and automated deployment tools;</li><li>
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.</li><li>
Develop and maintain scalable machine learning pipelines and infrastructure, ensuring seamless integration and deployment of models in production environments (MLOps).</li><li>
Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent practical experience);</li><li>
3+ years of experience in data engineering, data science or related field, with a focus on Azure data platforms;</li><li>
Knowledge of SAP BW (extractors, transformations, queries, data export) would be appreciated.</li><li>
Understanding of Agile methodology and SAFe Agile is appreciated;</li><li>
Strong communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams, stakeholders and vendors;</li><li>
Azure certification, such as Azure Data Engineer Associate, is a plus.</li></ul><p></p><p><b>
ABOUT YOUR NEW TEAM</b><br>
<br>
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&rsquo;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.<br>
<br>
<b>AT COCA-COLA HBC, DIVERSITY HELPS US THRIVE</b><br>
<br>
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&rsquo;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</p></div><br>
<div></div>
</div></div></div></div></div><div><div><div><h3 class="jobSectionHeader"><b>Benefits
</b></h3></div></div><div><div><div><div><div>Bonus incentives</div>
</div></div><div><div><div>Medical Insurance</div>
</div></div><div><div><div>Free product quota</div>
</div></div><div><div><div>Work with iconic brands</div>
</div></div><div><div><div>Work from home</div></div></div></div></div></div></div>

Senior Data Engineer - Analytics & Insights

Explore 1349+ Data engineer in Egypt this October. Find roles across top companies and apply now to boost your career.

1349 data engineer jobs IN Egypt

Data Engineer

Data Engineer

Data Engineer

Data Engineer Senior Lead

Data Engineer (m/f/d)

Data Engineer (m/w/d)

Senior Data Engineer - Analytics & Insights