data analyst

backend engineer

data engineer (m/w/d)

data scientist

data scientist ii

data engineer

SERVIER

<div></div><div><div><div><div><div><b>Date posted: </b>Oct 16, 2025
</div></div></div></div><div><div><div><div><b>City: </b>Cairo
</div></div></div></div><div><div><div><div><b>Country/Region: </b>EG
</div></div></div></div><div><div><div><div><b>Type of Contract: </b>Full-time Employment / Unlimited
</div></div></div></div><div><div><div><div><b>Job Requisition ID: </b>10146
</div></div></div></div><div></div><div><div><div><div><p>Data engineer
</p></div></div></div></div><div><div><div><div><div><b>About the Role</b></div><br>
<div>
</div><div>The IS Developer- Data Engineer will be responsible for analyzing user needs to conceive, develop or improve computer programs. They are accountable for software maintenance and development as needed alongside project documentation and testing.</div><br>
<div></div>
<div><b>
Core Responsibilities</b></div><br>
<div></div>
<div>
<ul><li>Analyze software and data to identify and solve issues.</li></ul>
<ul><li>Participate in meetings to determine software requirements.</li></ul>
<ul><li>Conduct software demonstrations and training.</li></ul>
<ul><li>Debug and fix software defects.</li></ul>
<ul><li>Develop new or modify existing software.</li></ul>
<ul><li>Update project documentation and report time.</li></ul>
<ul><li>Provide project updates.</li></ul>
<ul><li>Test software and participate in code reviews.</li></ul></div><br>
<div></div>
<div><b>
Experience &amp; Qualification</b></div><br>
<div></div>
<div>
<ul><li>Bachelor's degree in computer science or related field.</li></ul>
<ul><li>1-2 years of software development experience.</li></ul>
<ul><li>Proficiency in C#, HTML, CSS, JavaScript, and MS SQL.</li></ul>
<ul><li>Technical documentation skills.</li></ul>
<ul><li>Strong problem-solving abilities.</li></ul>
<ul><li>Knowledge of software development life cycle.</li></ul>
<ul><li>Excellent communication skills.</li></ul>
<ul><li>Ability to work independently and in teams.</li></ul>
<ul><li>Proficiency in English.</li></ul>
<ul><li>Attention to detail and adaptability.</li></ul>
</div><div><div><div><div>Job Description</div>
</div></div><div></div><div><div><div>Candidate Profile</div>
</div></div></div><div></div><div>
<div>Whatever your area of expertise, your work within the Servier Group helps advance therapeutic progress for the benefit of patients. You will be part of teams recognised for their scientific excellence and reach your full potential in a professional environment that encourages you to develop yourself. Tailor-made onboarding journeys, mobility opportunities, quality trainings, responsible management, team spirit... All this and more in a workplace focused on your well-being.</div><br>
<div></div>
<div>
At Servier, we are committed to therapeutic progress to serve patient needs. We put the diversity of our employees as a source of richness for the fulfillment of this vocation.</div></div></div></div></div></div></div><p></p>

Data engineer

Coca-Cola HBC

<div>
 <p>
  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 &amp; 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 &amp; transform data from various systems into structures that are suitable for building analytical solutions, by developing efficient Azure-based data pipelines.
 </p>
 <p>
  <br/>
 </p>
 <p>
  YOUR NEW KEY RESPONSIBILITIES:
 </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>
  <br/>
 </p>
 <p>
  ARE THESE YOUR SECRET INGREDIENTS?
 </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>
   3+ years of experience in data engineering, data science or related field, with a focus on Azure data platforms
  </li>
  <li>
   Deep hands-on experience in Python; pyspark
  </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>
   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>
  <strong>
   ABOUT YOUR NEW TEAM
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  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.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   AT COCA-COLA HBC, DIVERSITY HELPS US THRIVE
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  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>


Data Engineer

Beyond Menu

<div>
 At BeyondMenu, we empower local restaurants to thrive through digital hospitality. Our all-in-one online ordering solution is purpose-built for independent restaurant owners, helping them grow their business with simple, effective tools for online and in-person service.
 <br/>
 <br/>
 We are profitable, rapidly growing, and backed by Bregal Sagemount&mdash;one of the most successful private equity firms in the world. As part of their portfolio, we&rsquo;re scaling fast with a focus on results, accountability, and long-term success.
 <br/>
 <br/>
 If you&rsquo;re looking to join a high-performance team and help build the future of restaurant tech, we want to hear from you
 <br/>
 <br/>
 We&rsquo;re looking for a Marketing Data Engineer who loves building reliable data systems as much as exploring the &ldquo;why&rdquo; behind the numbers. You&rsquo;ll sit at the intersection of data engineering, marketing analytics, and go-to-market strategy &mdash; helping connect marketing, sales, and product data to unlock insights and power personalized customer experiences.
 <br/>
 <br/>
 This role is ideal for someone who can write scalable data pipelines and enjoys partnering with cross-functional teams to translate data into decisions.
 <br/>
 <br/>
 <strong>
  Key Responsibilities:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Marketing Data Infrastructure
  </li>
  <li>
   Build and maintain integrations between Meta, Google Ads, Iterable, and SMS platforms and our cloud data warehouse
  </li>
  <li>
   Design segmentation pipelines and event-driven triggers that orchestrate marketing campaigns and customer journeys
  </li>
  <li>
   Ensure high data quality and observability across marketing activation systems
  </li>
  <li>
   Sales &amp; Revenue Data Pipelines
  </li>
  <li>
   Integrate multiple sources (CRM, call platforms, marketing automation, product usage) to create unified go-to-market performance metrics and dashboards
  </li>
  <li>
   Manage pipelines that process unstructured data (sales calls, webscraped data) using generative AI to produce structured insights, summaries, and performance feedback for revenue teams
  </li>
  <li>
   Product &amp; Customer Experience Data
  </li>
  <li>
   Build data flows that push insights and custom datasets into our product &mdash; powering features like dynamic menus, AI-driven recommendations, and personalized push notifications
  </li>
  <li>
   Collaborate with product managers and engineers to ensure real-time data supports key customer experiences
  </li>
  <li>
   Insights &amp; Analysis
  </li>
  <li>
   Conduct ad-hoc and automated analysis to uncover trends, patterns, and opportunities in marketing and sales performance
  </li>
  <li>
   Partner with marketing and sales leadership to design and execute experiments, tests, and causal analyses that measure the impact of campaigns, content, and channels
  </li>
  <li>
   Act as a bridge between data and business &mdash; helping non-technical stakeholders understand data in clear, actionable ways
   <br/>
   <br/>
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What You Need:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   3+ years of experience in data engineering, analytics, or marketing technology
  </li>
  <li>
   Proficiency in SQL and Python
  </li>
  <li>
   Proven experience developing scalable data pipelines for ingesting and synchronizing high-volume data through third-party APIs
  </li>
  <li>
   Experience with modern data stacks (e.g., Databricks, dbt, Airflow, Fivetran, Snowflake, or similar)
  </li>
  <li>
   Hands-on experience integrating APIs for ad platforms, marketing automation, or CRM systems
  </li>
  <li>
   Familiarity with AI and NLP pipelines is a strong plus
  </li>
  <li>
   Strong communication skills &mdash; able to explain complex systems and insights to marketing and sales leaders
  </li>
  <li>
   Business-level English speaking and writing skills
  </li>
  <li>
   Ability to work during US Eastern business hours.
  </li>
  <li>
   Curiosity, initiative, and a desire to understand how marketing and sales activities translate into business outcomes
   <br/>
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
</div>


Marketing Data Engineer

Envision Employment Solutions

Envision Employment Solutions is currently hiring a Senior Data Engineer on behalf of one of our partners, a leader in the retail Motor Vehicles field.
<br><br>
<b>Job Summary:</b><br>
We’re looking for a Senior Data Engineer to help shape the foundation of the company's data ecosystem. You will be responsible for building and maintaining scalable data pipelines, warehouses, and systems that power analytics, reporting, and AI-driven decision-making across the company. You’ll work closely with data scientists, analysts, and product/engineering teams to ensure our data infrastructure is high-performing, reliable, and secure.
<br><br>
<b>Responsibilities:</b><br>
<ul>
<li>Design, build, and maintain robust ETL/ELT pipelines to collect, process, and transform data from multiple internal and external sources.</li>
<li>Develop and manage data models, schemas, and warehouse/lakehouse solutions (e.g., Snowflake, BigQuery, Redshift, Databricks).</li>
<li>Ensure high standards of data quality, governance, and lineage across all systems.</li>
<li>Implement workflow orchestration and automation using tools such as Airflow, dbt, or Dagster.</li>
<li>Collaborate with analytics, product, and engineering teams to define and enforce data architecture best practices.</li>
<li>Enable real-time and batch data processing pipelines using technologies like Kafka, Spark, or Flink.</li>
<li>Optimize data storage, query performance, and cost efficiency across the company's data platforms.</li>
<li>Champion modern data engineering principles — versioning, CI/CD, observability, and infrastructure-as-code.</li>
<li>Work closely with the AI and Data Science teams to support model development and deployment pipelines.</li>
</ul>
<b>Requirements:</b><br>
<ul>
<li>Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field.</li>
<li>5+ years of experience in data engineering or a similar role.</li>
<li>Strong proficiency with SQL and at least one programming language (Python, Scala, or Java).</li>
<li>Hands-on experience with modern data stacks — Airflow, Snowflake/BigQuery/Redshift.</li>
<li>Experience working with cloud environments such as AWS, GCP (preferably GCP).</li>
<li>Solid understanding of data modeling, partitioning, and performance optimization techniques.</li>
<li>Familiarity with containerization/orchestration (Docker, Kubernetes) and CI/CD for data systems.</li>
<li>Excellent problem-solving, communication, and collaboration skills.</li>
</ul>


Senior Data Engineer

Celfocus

<div><p><b>Make an impact</b> by working for sectors where technology is the enabler, everything is ground-breaking and there&rsquo;s a constant need to be innovative.</p><p><b>
Create and enhance projects</b> 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.</p><p><b>
Be part of the team</b> 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.</p><p><b>
Face challenges</b> and learn other ways of thinking and seeing the world - there&rsquo;s always room for your energy and creativity.</p><p></p><p><b>
About the role</b><br>
<br>
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.
</p><p>This role is focused on designing, developing, and maintaining the data platform required for data storage, processing, orchestration, and analysis.
</p><p>The mission involves implementing scalable and performant data pipelines and data integration solutions.
</p><p>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.</p><p><b><br>
As a part of your job, you will:</b></p><br>
<ul>
<li><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><br>
</ul></li><li>
</li></ul><p><b>What are we looking for?</b></p><ul>
<li><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></li></ul><p><b>
Nice to have:</b></p><ul>
</ul><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><br>
</ul><p><b>
Personal traits</b></p><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><br>
</ul><p></p><p>
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.</p><p></p><p><b><br>
Come join the Team!</b></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

onebank (formerly MDI)

<div>
 <p>
  <strong>
   Who we are?
  </strong>
 </p>
 <p>
  - onebank was established in 2020 as the company responsible for launching the 1st digital native bank in Egypt. The digital bank aims to create innovative solutions tailored to serve the needs of the banking customers in Egypt.
 </p>
 <p>
  -Our main goal is to create a positive customer experience through the differentiated journey that our customers live while using the digital bank.
 </p>
 <p>
  -Our Drive: We use our drive and commitment to energies, engage and inspire others, upholding the highest standards of work ethic, honesty and morality.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <u>
    JOB PURPOSE
   </u>
  </strong>
 </p>
 <p>
  The ideal candidate will assist in designing, developing, and maintaining reports and dashboards that help stakeholders make data-driven decisions. You will work closely with senior developers, analysts, and business users to transform raw data into meaningful insights.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Job Duties &amp; Responsibilities
  </strong>
 </p>
 <p>
 </p>
 <p>
  -Strong understanding of
  <strong>
   SQL
  </strong>
  and relational databases (e.g., Impala, Hive).
 </p>
 <p>
  -Experience or coursework in
  <strong>
   BI/reporting tools
  </strong>
  (Tableau, Power BI).
 </p>
 <p>
  -Basic knowledge of
  <strong>
   data modeling
  </strong>
  ,
  <strong>
   ETL processes
  </strong>
  , and
  <strong>
   data warehousing concepts
  </strong>
  .
 </p>
 <p>
  -Proficiency in
  <strong>
   Excel
  </strong>
  and basic data analysis.
 </p>
 <p>
  -Strong analytical and problem-solving abilities.
 </p>
 <p>
  -Attention to detail and commitment to data quality
 </p>
 <p>
 </p>
 <p>
  <strong>
   <u>
    MINIMUM QUALIFICATIONS/EDUCATION/EXPERIENCE
   </u>
  </strong>
 </p>
 <p>
  -Bachelor&rsquo;s degree in
  <strong>
   Computer Science, Information Systems, Data Analytics, Statistics
  </strong>
  , or a related field.
 </p>
 <p>
  -Minimum 1-3 years of experience.
 </p>
</div>


BI Data Engineer

Explore 1890+ Data engineer in Egypt this November. Find roles across top companies and apply now to boost your career.

1890 data engineer jobs IN Egypt

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