senior software engineer

senior devops engineer

data engineer

senior data scientist

data analyst

big data engineer

Muller's Solutions

<div>M&uuml;ller&rsquo;s Solutions is looking for an experienced Big Data Engineer to join our innovative team. In this role, you will be responsible for designing and developing scalable big data solutions that enable advanced analytics and insights across the organization. You will work with large data sets and utilize cutting-edge technologies to ensure data processing is efficient and reliable.
Key Responsibilities:<ul>
<li>Design, build, and maintain scalable data pipelines using big data technologies such as Apache Spark, Hadoop, and Kafka.</li>
<li>Collaborate with data scientists, analysts, and IT teams to identify data requirements and deliver solutions that meet business needs.</li>
<li>Ensure high data quality and integrity by implementing robust data validation and testing processes.</li>
<li>Optimize data storage solutions for performance and cost-efficiency across cloud and on-premises environments.</li>
<li>Monitor and troubleshoot data processing workflows to ensure timely data delivery.</li>
<li>Document data architectures, processes, and workflows for knowledge sharing and compliance.</li>
<li>Stay ahead of industry trends and best practices in big data technologies and methodologies.</li> 
</ul> 
 
Requirements 
Requirements:<ul>
<li>Bachelor's degree in Computer Science, Information Technology, or a related field.</li>
<li>3+ years of experience as a Big Data Engineer or in a similar data engineering role.</li>
<li>Proficiency in big data technologies such as Apache Spark, Hadoop, and Apache Kafka.</li>
<li>Strong coding skills in programming languages like Java, Scala, or Python.</li>
<li>Familiarity with data processing frameworks and ETL tools.</li>
<li>Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and data storage solutions (e.g., HDFS, S3, BigQuery).</li>
<li>Analytical mindset and excellent problem-solving abilities.</li>
<li>Strong communication skills to collaborate effectively with technical and non-technical stakeholders.</li>
<li>A self-motivated and proactive approach to work, with the ability to manage multiple tasks and deadlines.</li>
</ul>Preferred Qualifications:<ul>
<li>Experience with machine learning frameworks and algorithms is a plus.</li>
<li>Knowledge of data governance and security best practices.</li>
<li>Familiarity with containerization technologies and orchestration tools like Docker and Kubernetes.</li> 
</ul> 
 
Benefits 
1- Attractive Package.
2- Family Benefits.
3- Visa.
4-Air Tickets.</div>

Big Data Engineer

Müller's Solutions

<div>
 M&uuml;ller's Solutions is looking for an experienced Big Data Engineer to join our innovative team. In this role, you will be responsible for designing and developing scalable big data solutions that enable advanced analytics and insights across the organization. You will work with large data sets and utilize cutting-edge technologies to ensure data processing is efficient and reliable.
 
 
 
 Key Responsibilities:
 
 
 
 <ul>
 <li>
 Design, build, and maintain scalable data pipelines using big data technologies such as Apache Spark, Hadoop, and Kafka
 </li>
 <li>
 Collaborate with data scientists, analysts, and IT teams to identify data requirements and deliver solutions that meet business needs
 </li>
 <li>
 Ensure high data quality and integrity by implementing robust data validation and testing processes
 </li>
 <li>
 Optimize data storage solutions for performance and cost-efficiency across cloud and on-premises environments
 </li>
 <li>
 Monitor and troubleshoot data processing workflows to ensure timely data delivery
 </li>
 <li>
 Document data architectures, processes, and workflows for knowledge sharing and compliance
 </li>
 <li>
 Stay ahead of industry trends and best practices in big data technologies and methodologies
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 
 Requirements:
 
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Information Technology, or a related field
 </li>
 <li>
 3+ years of experience as a Big Data Engineer or in a similar data engineering role
 </li>
 <li>
 Proficiency in big data technologies such as Apache Spark, Hadoop, and Apache Kafka
 </li>
 <li>
 Strong coding skills in programming languages like Java, Scala, or Python
 </li>
 <li>
 Familiarity with data processing frameworks and ETL tools
 </li>
 <li>
 Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and data storage solutions (e.g., HDFS, S3, BigQuery)
 </li>
 <li>
 Analytical mindset and excellent problem-solving abilities
 </li>
 <li>
 Strong communication skills to collaborate effectively with technical and non-technical stakeholders
 </li>
 <li>
 A self-motivated and proactive approach to work, with the ability to manage multiple tasks and deadlines
 
 
 </li>
 </ul>
 
 Preferred Qualifications:
 
 
 
 <ul>
 <li>
 Experience with machine learning frameworks and algorithms is a plus
 </li>
 <li>
 Knowledge of data governance and security best practices
 </li>
 <li>
 Familiarity with containerization technologies and orchestration tools like Docker and Kubernetes
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 1- Attractive Package.
 
 
 2- Family Benefits.
 
 
 3- Visa.
 
 
 4-Air Tickets.
</div>

Al-Futtaim

<div>Job Requisition ID: 176818
Established in the 1930s as a trading business, Al-Futtaim Group today is one of the most diversified and progressive, privately held regional businesses headquartered in Dubai, United A&rdquo;rab Emirates. Structured into five operating divisions; automotive, financial services, real estate, retail and healthcare; employing more than 35,000 employees across more than 20 countries in the Middle East, Asia and Africa, Al-Futtaim Group partners with over 200 of the world's most admired and innovative brands. Al-Futtaim Group&rsquo;s entrepreneurship and relentless customer focus enables the organisation to continue to grow and expand; responding to the changing needs of our customers within the societies in which we operate.
By upholding our values of respect, excellence, collaboration and integrity; Al-Futtaim Group continues to enrich the lives and aspirations of our customers each and every day. 

Overview Of The Role:

The Data Engineer is responsible for turning complex data from SAP and non-SAP sources into valuable business insights. This role involves participating in requirement assessments, implementing high-quality data solutions, and supporting various business needs. Success entails effective collaboration with product and development teams to deliver scalable, governed data solutions swiftly. The Data Engineer plays a key role in maintaining the quality of data insights solutions and ensuring alignment with business objectives. 


What You Will Do:
<ul>
<li>Partner with product owners, scrum masters, and solution architects to deliver solutions.</li>
<li>Review and analyze business requirements to design technical solutions.</li>
<li>Collaborate with implementation team members and partners internally and externally to develop, test, and deploy solutions.</li>
<li>Adhere to software development and maintenance standards by understanding development best practices.</li>
<li>Implement robust data pipelines using the Microsoft toolset and Databricks.</li>
<li>Create reusable and scalable data pipelines.</li>
<li>Estimate and deliver multiple project assignments and system change requests within agreed resourcing and timelines.</li>
<li>Govern solutions and assess complex new data sources with various SAP and non-SAP systems.</li>
<li>Analyze structured, semi-structured, and unstructured data sources for quality, completeness, and business value.</li>
<li>Govern the technology implementation of solution designs.</li></ul> 
 
Required Skills To Be Successful:
<ul>
<li>Expertise in data ingestion, data processing, and analytical pipelines for big data and data warehouse solutions.</li>
<li>Experience in cloud-based analytics solutions, particularly Azure Synapse Analytics, ADLS, ADF, Databricks, Power BI, and Azure Analysis Services.</li>
<li>Strong analytic skills with experience handling unstructured datasets.</li>
<li>Thorough understanding of DevOps processes, CI/CD, and Infrastructure as code.</li></ul> 
 
What Equips You For The Role:
<ul>
<li>8+ years of experience in Azure and Databricks.</li>
<li>Minimum 5+ years in implementing analytics capabilities from conceptualization to delivery on the Azure platform.</li>
<li>Bachelor's degree in Computer Science or a related field.</li>
<li>Knowledge of SAP BW/BO, Tableau, Power BI, and Scala is advantageous.</li>
<li>Certification on Azure platform toolsets is a beneficial addition.</li></ul> 
We&rsquo;re here to provide excellent service but a little help from you can ensure a five-star candidate experience from start to finish. 

Before you click &ldquo;apply&rdquo;: Please read the job description carefully to ensure you can confidently demonstrate why this opportunity is right for you and take the time to put together a well-crafted and personalised CV to further boost your visibility. Our global Talent Acquisition team members are all assigned to specific businesses to ensure that we make the best matches between talent and opportunities. We not only consider the requisite compatibility of skills and behaviours, but also how candidates align with our Values of Respect, Integrity, Collaboration, and Excellence. 

As part of our candidate experience promise, we also want to make ourselves available to you throughout the application process. We make every effort to review and respond to every application.</div>

Data Engineer

Coca-Cola HBC

<div>
 
 
 Department
 
 : Data, Insights &amp; AI
 
 
 
 Location
 
 : Egypt (Cairo)
 
 
 
 
 
 We are expanding our team and seeking a highly skilled Data Engineer with strong expertise in Microsoft Azure, solid knowledge of machine learning, experience with modern software delivery practices, and a curious mindset toward artificial intelligence applications to join our Analytics Engineering team within the Digital &amp; Technology Platform Services (DTPS) organization at Coca‑Cola Hellenic. In this role, you will contribute to shaping the strategy, design, and development of advanced analytics solutions that deliver meaningful insights and support data‑driven decision‑making across the business. You will be part of the Data Insights and Artificial Intelligence (DIAI) team, integrating and transforming data into scalable, analytics‑ready solutions and cutting‑edge machine learning applications.
 
 
 
 
 
 
 
 
 
 YOUR NEW KEY RESPONSIBILITIES:
 
 
 
 &bull; Design, develop, implement, and optimize scalable, high performance, secure, and cost-efficient data pipelines using Microsoft Azure cloud services and large scale data technologies, including Apache Spark and PySpark built with object-oriented programming principles.
 
 
 &bull; Load and process data from Azure Data Lake, orchestrate Azure Databricks jobs, and manage Azure Data Factory pipelines with a high degree of proficiency.
 
 
 &bull; Develop and implement robust data quality frameworks to ensure data integrity across all stages of the data lifecycle.
 
 
 &bull; Perform data profiling, analysis, and validation to identify, troubleshoot, and resolve data quality issues in a timely and effective manner.
 
 
 &bull; Implement security, governance, and access control measures to safeguard sensitive data within Microsoft Azure environments.
 
 
 &bull; Build and maintain machine learning workflows and data pipelines that support model development, deployment, and ongoing monitoring.
 
 
 &bull; Utilize Git based version control to manage code repositories, apply structured branching strategies, and enable collaborative development practices.
 
 
 &bull; Apply Agile methodologies to plan, prioritize, and deliver data engineering work in iterative development cycles.
 
 
 &bull; Develop and maintain comprehensive documentation for data solutions, including data models, data flows, architectural diagrams, and detailed technical specifications.
 
 
 &bull; Stay up to date with Microsoft Azure data services, large scale data tools, DevOps practices, and broader industry best practices, providing recommendations for adoption and continuous improvement.
 
 
 &bull; Collaborate with Azure developers and data engineers from Coca Cola Hellenic vendors, offering guidance on data engineering techniques, standards, and methodologies.
 
 
 &bull; Work closely with DevOps teams to implement and maintain continuous integration and continuous delivery pipelines for Azure based applications and data workflows.
 
 
 &bull; Support Microsoft Power Business Intelligence developers by evaluating and optimizing data connection methods and data transfer strategies, ensuring high performance, scalability, data quality, and security.
 
 
 
 
 
 
 ARE THESE YOUR SECRET INGREDIENTS?
 
 
 
 &bull; Bachelor&rsquo;s degree in computer science, engineering, or a related discipline (or equivalent practical experience),
 
 
 &bull; Two or more years of professional experience; Microsoft Azure Data Engineer certification is considered an advantage.
 
 
 &bull; Strong understanding of secure software development and modern software delivery practices, including continuous integration, continuous delivery, automated testing, automated deployments, and extensive experience using Git for version control
 
 
 &bull; Deep expertise with Microsoft Azure data services, including Azure Data Factory, Azure Data Lake Storage, and Azure Databricks, with solid experience applying performance optimization techniques for analytics and reporting workloads.
 
 
 &bull; Strong hands-on experience with Apache Spark and PySpark using object-oriented programming, along with strong skills in Python and SQL to design and optimize scalable data pipelines across largescale data architectures that handle big data.
 
 
 &bull; Knowledge of Systems, Applications, and Products Business Warehouse extractors, transformations, and data export processes, along with experience working within Agile and Scaled Agile Framework environments.
 
 
 &bull; Proven ability to ensure data quality, reliability, and operational efficiency, supporting advanced analytics and machine learning workflows.
 
 
 &bull; A foundational understanding of machine learning concepts, feature engineering, and machine learning operations for model deployment and monitoring.
 
 
 
 
 
 
 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>

Valleysoft | Center of Excellence

<div>
 Valleysoft | Center of Excellence is a regional IT services provider based in Egypt, serving clients globally since 2006. The company collaborates with global partners like Amazon Web Services (AWS) to offer comprehensive solutions that address diverse business and technical challenges. Valleysoft's commitment to excellence ensures that clients receive high-quality, innovative, and cost-effective services, leveraging the power of cloud technologies.
 
 
 Valleysoft is seeking a highly-skilled Lead Data Engineer specializing in AWS to join our team. In this role, you will lead the design and implementation of cutting-edge data solutions, unlocking the potential of big data and machine learning for our clients. You will drive data strategy, manage data architecture, and oversee a talented team of data engineers. If you are passionate about cloud-based data engineering and want to make an impact in a fast-paced environment, we want to hear from you!
 
 
 
 Requirements
 
 
 
 <ul>
 <li>
 Lead design and implementation of batch and real-time data pipelines on AWS
 </li>
 <li>
 Architect and implement ETL/ELT solutions using AWS Glue, Spark on EMR, and other AWS-native services
 </li>
 <li>
 Lead workflow orchestration using Apache Airflow (MWAA)
 </li>
 <li>
 Architect serverless data processing solutions with AWS Lambda
 </li>
 <li>
 Design enterprise-grade data warehousing solutions using Amazon Redshift
 </li>
 <li>
 Develop and enforce data storage strategies using Amazon S3 and DynamoDB
 </li>
 <li>
 Implement and govern data cataloging, governance, and access control using AWS DataZone
 </li>
 <li>
 Establish monitoring, logging, and observability using Amazon CloudWatch
 </li>
 <li>
 Drive performance optimization, scalability, and cost efficiency
 </li>
 <li>
 Troubleshoot complex data processing and infrastructure issues
 </li>
 <li>
 Collaborate with cross-functional teams including Analytics, BI, Data Science, and Business teams
 </li>
 <li>
 Provide technical leadership, conduct code reviews, and mentor junior engineers
 </li>
 <li>
 Ensure adherence to security, compliance, and data governance standards
 </li>
 <li>
 Participate in architecture discussions and contribute to long-term data strategy
 
 
 </li>
 </ul>
 
 Required Skills &amp; Experience
 
 
 
 <ul>
 <li>
 10-12 years of experience in Data Engineering or related roles
 </li>
 <li>
 5+ years of hands-on experience designing enterprise-grade AWS solutions
 </li>
 <li>
 Expertise with: AWS Glue, Amazon EMR (Spark), AWS Lambda, Apache Airflow (MWAA), Amazon EC2, Amazon CloudWatch, Amazon Redshift, Amazon DynamoDB, AWS DataZone, Amazon S3
 </li>
 <li>
 Strong programming skills in Python
 </li>
 <li>
 Advanced SQL skills with performance tuning expertise
 </li>
 <li>
 Strong understanding of data warehousing, data modeling (Star/Snowflake), ETL/ELT best practices
 </li>
 <li>
 Experience designing scalable, distributed data processing systems
 </li>
 <li>
 Proven experience in leading teams, mentoring engineers, and making architectural decisions
 </li>
 <li>
 Experience working in Agile/Scrum delivery environments
 
 
 </li>
 </ul>
 Nice to Have.
 
 
 <ul>
 <li>
 AWS Professional Certification (Solutions Architect / Data Analytics Specialty)
 </li>
 <li>
 Experience with real-time streaming (Kinesis, Kafka)
 </li>
 <li>
 Exposure to metadata management, data lineage, and governance tools
 </li>
 <li>
 Expertise in cost optimization strategies in AWS
 </li>
 <li>
 Experience working with large-scale enterprise data platforms
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 <ul>
 <li>
 Private Health Insurance
 </li>
 <li>
 Training &amp; Development
 </li>
 </ul>
</div>

Lead Data Engineer - AWS

Valleysoft

<div>Valleysoft | Center of Excellence is a regional IT services provider based in Egypt, serving clients globally since 2006. The company collaborates with global partners like Amazon Web Services (AWS) to offer comprehensive solutions that address diverse business and technical challenges. Valleysoft's commitment to excellence ensures that clients receive high-quality, innovative, and cost-effective services, leveraging the power of cloud technologies.
Valleysoft is seeking a highly-skilled Lead Data Engineer specializing in AWS to join our team. In this role, you will lead the design and implementation of cutting-edge data solutions, unlocking the potential of big data and machine learning for our clients. You will drive data strategy, manage data architecture, and oversee a talented team of data engineers. If you are passionate about cloud-based data engineering and want to make an impact in a fast-paced environment, we want to hear from you! 
Requirements 
<ul><li><ul><li>
Lead design and implementation of batch and real-time data pipelines on AWS</li><li>
Architect and implement ETL/ELT solutions using AWS Glue, Spark on EMR, and other AWS-native services</li><li>
Lead workflow orchestration using Apache Airflow (MWAA)</li><li>
Architect serverless data processing solutions with AWS Lambda</li><li>
Design enterprise-grade data warehousing solutions using Amazon Redshift</li><li>
Develop and enforce data storage strategies using Amazon S3 and DynamoDB</li><li>
Implement and govern data cataloging, governance, and access control using AWS DataZone</li><li>
Establish monitoring, logging, and observability using Amazon CloudWatch</li><li>
Drive performance optimization, scalability, and cost efficiency</li><li>
Troubleshoot complex data processing and infrastructure issues</li><li>
Collaborate with cross-functional teams including Analytics, BI, Data Science, and Business teams</li><li>
Provide technical leadership, conduct code reviews, and mentor junior engineers</li><li>
Ensure adherence to security, compliance, and data governance standards</li><li>
Participate in architecture discussions and contribute to long-term data strategy</li></ul></li></ul> 
Required Skills &amp; Experience<ul><li><ul><li>
10&ndash;12 years of experience in Data Engineering or related roles</li><li>
5+ years of hands-on experience designing enterprise-grade AWS solutions</li><li>
Expertise with: AWS Glue, Amazon EMR (Spark), AWS Lambda, Apache Airflow (MWAA), Amazon EC2, Amazon CloudWatch, Amazon Redshift, Amazon DynamoDB, AWS DataZone, Amazon S3</li><li>
Strong programming skills in Python</li><li>
Advanced SQL skills with performance tuning expertise</li><li>
Strong understanding of data warehousing, data modeling (Star/Snowflake), ETL/ELT best practices</li><li>
Experience designing scalable, distributed data processing systems</li><li>
Proven experience in leading teams, mentoring engineers, and making architectural decisions</li><li>
Experience working in Agile/Scrum delivery environments</li></ul></li></ul> 
Nice to Have.<ul><li>
AWS Professional Certification (Solutions Architect / Data Analytics Specialty).</li><li>
Experience with real-time streaming (Kinesis, Kafka).</li><li>
Exposure to metadata management, data lineage, and governance tools.</li><li>
Expertise in cost optimization strategies in AWS.</li><li>
Experience working with large-scale enterprise data platforms.</li></ul> 

Benefits 
<ul><li>
Private Health Insurance</li><li>
Training &amp; Development</li></ul></div>

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

Explore 1410+ Big data engineer in Egypt this March. Find roles across top companies and apply now to boost your career.

1410 big data engineer jobs In Egypt

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Lead Data Engineer - AWS

Lead Data Engineer - AWS

Senior Data Engineer