senior software engineer

software engineer

senior devops engineer

planning engineer

senior backend engineer

senior data engineer

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>

Senior Data Engineer

<div>ABOUT THE ROLE<div>
We are looking for a Senior Data Engineer with strong Microsoft Fabric expertise to join a fast-growing data engineering team. You will be responsible for designing, building, and optimizing data solutions on the Microsoft Fabric platform &mdash; working across the full data engineering lifecycle from ingestion to serving.
The ideal candidate brings deep hands-on experience with Fabric, a strong engineering mindset, and the ability to work independently in a collaborative, delivery-focused environment.</div>
WHAT YOU WILL DO<div><ul><li>
Design and build end-to-end data pipelines using Microsoft Fabric Data Factory</li><li>
Develop and maintain Fabric Spark Notebooks for data transformation and processing</li><li>
Migrate legacy data pipelines and workloads onto the Microsoft Fabric platform</li><li>
Implement and manage data warehouse solutions using Fabric Warehouse and OneLake</li><li>
Build and maintain Medallion architecture (Bronze / Silver / Gold) on OneLake</li><li>
Design and implement SCD Type 1/2 patterns and complex transformation logic in PySpark and T-SQL</li><li>
Develop and maintain CI/CD workflows using Fabric Deployment Pipelines and Azure DevOps</li><li>
Collaborate with architects and business stakeholders to translate requirements into scalable data solutions</li><li>
Ensure data quality through reconciliation, testing, and validation across environments</li><li>
Support UAT, parallel run activities, and production cutover cycle</li></ul></div>
REQUIRED SKILLS<ul><li>Microsoft Fabric &mdash; Fabric Data Factory, Spark Notebooks, Fabric Warehouse, OneLake, Deployment Pipelines</li><li>Azure Data Factory &mdash;pipelines, master/child patterns, Copy / Lookup / ForEach / Stored Procedure activities</li><li>PySpark and Python &mdash; Delta Lake read/write, transformation logic, file I/O on OneLake / ADLS</li><li>T-SQL &mdash; complex stored procedures, MERGE, SCD logic, dynamic SQL</li><li>Medallion architecture (Bronze / Silver / Gold) implementation on Fabric or Databricks</li><li>Databricks &mdash; notebooks, dbutils, workspace files, cluster configuration</li><li>CI/CD with Azure DevOps and Git &mdash; branching strategy, PR-gated deployments, environment promotion</li><li>Experience in Analysis, Design, Development, Implementation, Testing and Support of Data Warehousing and Data Integration Solutions and ETL data pipelines</li><li>5+ years in data engineering with at least 1 year hands-on in Microsoft Fabric</li></ul>
NICE TO HAVE<ul><li>Microsoft Fabric certification (DP-700 or equivalent)</li><li>Experience migrating from Databricks or ADF to Microsoft Fabric</li><li>Financial services or investment data domain knowledge</li><li>Microsoft Purview &mdash; lineage, sensitivity labels, workspace scanning</li><li>Power BI Direct Lake mode and semantic model design</li><li>Experience in ETL design and development, Data Quality, and Data Engineering using Informatica.</li></ul></div>

Integrant

<div>We're on the lookout for exceptional individuals to join our team as Senior Data Engineers. As a part of our team, you'll be driving change and making a significant impact in the gaming industry.<ul>
<li>Lead the design, development, and maintenance of end-to-end data analytical solutions using Microsoft on-premises and cloud technologies.</li>
<li>Engage in collaborative requirement elicitation activities with our valued clientele.</li>
<li>Mentor and guide junior team members in the field of data engineering.</li>
<li>Showcase your expertise by delivering innovative analytical solutions to our clients and contributing to knowledge transfer within the organization.</li> 
</ul> 
 
Requirements 
<ul>
<li>4+ years of experience as a data engineer.</li>
<li>Familiarity with analytical architectures including Data Warehouses, Data Lakes and Data Lakehouses.</li>
<li>Knowledge of Microsoft relational engines available &ndash; both on-premises (MS SQL Server) and on the cloud (Azure SQL, Azure Synapse Analytics Dedicated Pools).</li>
<li>Knowledge of query and workload optimization.</li>
<li>Knowledge of administrating and managing analytical solutions both on premises and on the cloud.</li>
<li>Knowledge of NoSQL offerings on Azure (e.g. CosmosDB).</li>
<li>Knowledge of setting up Data Lakes on ADLS gen 2 and Azure Synapse Analytics.</li>
<li>Knowledge of using SSIS and Azure Data Factory to set up ETL jobs.</li>
<li>Knowledge of setting up OLAP solutions using SSAS.</li>
<li>Familiarity with Azure Data Catalog to manage data lake metadata.</li>
<li>Knowledge of governance over Azure based analytical solutions including using tools such as Purview, Active Directory, Key Vault, Azure DevOps, etc.</li>
<li>Knowledge of using Azure Stream Analytics to capture and analyze data in real time.</li>
<li>Knowledge of setting up data warehouse solutions both on-premises (using MS SQL Server) and on the cloud (using Azure Synapse Analytics).</li>
<li>Knowledge of Dimensional Modeling (Dimensions, Facts, Slowly Changing Dimensions, Outriggers, Role Playing Dimensions, Junk Dimensions, Degenerate Dimensions, Multi-valued Dimensions, Transactional Facts, Periodic Snapshot Facts and Accumulating Snapshot Facts).</li>
<li>Knowledge of implementing common ETL patterns to support data warehouse workloads.</li>
<li>Knowledge of using U-SQL, PolyBase and Azure Data Lake Analytics to perform federated querying.</li>
<li>Knowledge of PowerBI.</li>
<li>Familiarity with SSRS.</li>
<li>Snowflake Experience: Experience with Snowflake is required.</li>
</ul>Nice to Have:<ul>
<li>An MSc in Computer Science or other relevant field.</li>
<li>Familiarity with Azure Databricks.</li>
<li>Familiarity with DataOps</li>
<li>Familiarity with Azure Cognitive Services.</li>
<li>Familiarity with Azure ML.</li>
<li>Familiarity with MLOps.</li>
<li>Familiarity of containerization tools and frameworks (Docker, Kubernetes, etc.)</li>
<li>Familiarity with Azure HD Insight.</li>
<li>Familiarity with the Hadoop ecosystems, including tools like Hive, Spark and Kafka.</li>
<li>Familiarity with Azure Functions to perform lightweight transformations.</li> 
</ul> 
 
Benefits 
<ul>
<li>Salary paid in USD</li>
<li>Six-month career advancing opportunities</li>
<li>Supportive and friendly work environment</li>
<li>Premium medical insurance [employee +family]</li>
<li>English language development courses</li>
<li>Interest-free loans paid over 2.5 years</li>
<li>Technical development courses</li>
<li>Planned overtime program (POP)</li>
<li>Employment referral program</li>
<li>Premium location in Maadi</li>
<li>Social insurance</li></ul></div>

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

EVA pharma

<div>
 
 Join EVA Pharma, a leading pharmaceutical company dedicated to empowering the fight for&nbsp;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&nbsp;our team members.
 
 
 
 Job Summary:
 
 
 We are seeking a passionate and talented
 
 Data Engineer Senior Lead
 
 to join our dynamic team. The&nbsp;ideal candidate will contribute to our mission of enhancing human health and well-being,&nbsp;ensuring that we meet the highest standards of excellence in our industry.
 
 
 
 
 Key Responsibilities:
 
 
 <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-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>
 
 Requirements
 
 
 
 
 <ul>
 <li>
 Bachelor'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>

Senior Data Engineer Lead

Teradata

<div>Our Company
Teradata is the connected multi-cloud data platform for enterprise analytics company. Our enterprise analytics solve business challenges from start to scale. Only Teradata gives you the flexibility to handle the massive and mixed data workloads of the future, today. 

The Teradata Vantage architecture is cloud native, delivered as-a-service, and built on an open ecosystem. These design features make Vantage the ideal platform to optimize price performance in a multi-cloud environment. 

What You&rsquo;ll Do
<ul><li>Data Engineer specializes in the design and development of the ETL environment, processes, programs, and scripts to acquire data from source systems and apply the data to the tables in the database.</li>
<li>Working as the Data Engineer within the Managed Services team supporting one of Teradata&rsquo;s premier accounts, this individual must have the skills necessary to understand the overall data warehouse architecture. The Data Engineer designs and builds the ETL environment with the specific toolset required by the client. The DI Consultant participates in making decisions on database design and overall solution architecture to maximize operational availability of the customer&rsquo;s environment.
</li><li>You will be required to do the below tasks successfully: -</li>
</ul><div><ul><li>Capture ETL Requirements</li></ul>
<ul><li>Design, develop, test, support processes for extracting, transforming and loading data from source systems to DWH and Data Marts</li></ul>
<ul><li>Maximize environment availability through design and deployment of robust operational processes.
</li></ul><ul><li>Ability to write performant Teradata database scripts (TPT, BTEQ)</li></ul>
<ul><li>Operationalize all Data Integration processes to maximize process robustness.
</li></ul><ul><li>Design the processes to meet service level agreements for data timeliness and frequency.</li></ul>
<ul><li>Analyze and improve query and solution performance.</li></ul>
<ul><li>Ability to optimize physical data models as required.</li></ul>
<ul><li>Building dynamic framework to compare between different layers of data.</li></ul>
<ul><li>Creates and maintains all required documentation (BRD, Designs, Unit Test, UAT &hellip;. etc.)</li></ul>
<ul><li>Mentoring and coaching junior team members</li></ul> 
</div>
Who You&rsquo;ll Work With
<ul><li>You will work with Managed Services team supporting one of Teradata&rsquo;s premier accounts in Military and Governmental sector in Egypt.</li>
<li>You will report to Managed Services Technical Delivery Manager</li> 
</ul>
What Makes You a Qualified Candidate
<ul><li>In depth knowledge of DWH concepts</li>
<li>In depth knowledge of the Microsoft Excel tool</li>
<li>In depth knowledge of Teradata RDBMS although other enterprise relational database knowledge will be considered</li>
<li>In depth knowledge of one of the enterprise strengths ETL tools i.e. Informatica.</li>
<li>Experience in implementing ETL solutions for large, enterprise-grade customers.</li>
<li>In depth knowledge of one of the enterprise strengths BI tools i.e. MS Power BI.</li>
<li>Egyptian National</li> 
</ul>
What You&rsquo;ll Bring
<ul><li>Good knowledge of Linux Commands and Shell Scripting</li>
<li>Very Good Knowledge of NiFi Scheduler Tool.</li>
<li>Good knowledge of Teradata Solutions</li>
<li>Very Good communication skills, both written and oral at all levels of stakeholder</li>
<li>Very Good Presentation Skills</li>
<li>Very Good Analytical and Problem-Solving Skills</li>
<li>Previous working experience at Egyptian Government/Armed Forces Authorities</li>
<li>Operational mind-set key to maximize environment availability.</li> 
</ul>
Why We Think You&rsquo;ll Love Teradata
We prioritize a people-first culture because we know our people are at the very heart of our success. We embrace a flexible work model because we trust our people to make decisions about how, when, and where they work. We focus on well-being because we care about our people and their ability to thrive both personally and professionally. We are an anti-racist company because our dedication to Diversity, Equity, and Inclusion is more than a statement. It is a deep commitment to doing the work to foster an equitable environment that celebrates people for all of who they are
Our Company
Teradata is the connected multi-cloud data platform for enterprise analytics company. Our enterprise analytics solve business challenges from start to scale. Only Teradata gives you the flexibility to handle the massive and mixed data workloads of the future, today. 

The Teradata Vantage architecture is cloud native, delivered as-a-service, and built on an open ecosystem. These design features make Vantage the ideal platform to optimize price performance in a multi-cloud environment. 

What You&rsquo;ll Do
<ul><li>Data Engineer specializes in the design and development of the ETL environment, processes, programs, and scripts to acquire data from source systems and apply the data to the tables in the database.</li>
<li>Working as the Data Engineer within the Managed Services team supporting one of Teradata&rsquo;s premier accounts, this individual must have the skills necessary to understand the overall data warehouse architecture. The Data Engineer designs and builds the ETL environment with the specific toolset required by the client. The DI Consultant participates in making decisions on database design and overall solution architecture to maximize operational availability of the customer&rsquo;s environment.
</li><li>You will be required to do the below tasks successfully: -</li>
</ul><div><ul><li>Capture ETL Requirements</li></ul>
<ul><li>Design, develop, test, support processes for extracting, transforming and loading data from source systems to DWH and Data Marts</li></ul>
<ul><li>Maximize environment availability through design and deployment of robust operational processes.
</li></ul><ul><li>Ability to write performant Teradata database scripts (TPT, BTEQ)</li></ul>
<ul><li>Operationalize all Data Integration processes to maximize process robustness.
</li></ul><ul><li>Design the processes to meet service level agreements for data timeliness and frequency.</li></ul>
<ul><li>Analyze and improve query and solution performance.</li></ul>
<ul><li>Ability to optimize physical data models as required.</li></ul>
<ul><li>Building dynamic framework to compare between different layers of data.</li></ul>
<ul><li>Creates and maintains all required documentation (BRD, Designs, Unit Test, UAT &hellip;. etc.)</li></ul>
<ul><li>Mentoring and coaching junior team members</li></ul> 
</div>
Who You&rsquo;ll Work With
<ul><li>You will work with Managed Services team supporting one of Teradata&rsquo;s premier accounts in Military and Governmental sector in Egypt.</li>
<li>You will report to Managed Services Technical Delivery Manager</li> 
</ul>
What Makes You a Qualified Candidate
<ul><li>In depth knowledge of DWH concepts</li>
<li>In depth knowledge of the Microsoft Excel tool</li>
<li>In depth knowledge of Teradata RDBMS although other enterprise relational database knowledge will be considered</li>
<li>In depth knowledge of one of the enterprise strengths ETL tools i.e. Informatica.</li>
<li>Experience in implementing ETL solutions for large, enterprise-grade customers.</li>
<li>In depth knowledge of one of the enterprise strengths BI tools i.e. MS Power BI.</li>
<li>Egyptian National</li> 
</ul>
What You&rsquo;ll Bring
<ul><li>Good knowledge of Linux Commands and Shell Scripting</li>
<li>Very Good Knowledge of NiFi Scheduler Tool.</li>
<li>Good knowledge of Teradata Solutions</li>
<li>Very Good communication skills, both written and oral at all levels of stakeholder</li>
<li>Very Good Presentation Skills</li>
<li>Very Good Analytical and Problem-Solving Skills</li>
<li>Previous working experience at Egyptian Government/Armed Forces Authorities</li>
<li>Operational mind-set key to maximize environment availability.</li> 
</ul>
Why We Think You&rsquo;ll Love Teradata
We prioritize a people-first culture because we know our people are at the very heart of our success. We embrace a flexible work model because we trust our people to make decisions about how, when, and where they work. We focus on well-being because we care about our people and their ability to thrive both personally and professionally. We are an anti-racist company because our dedication to Diversity, Equity, and Inclusion is more than a statement. It is a deep commitment to doing the work to foster an equitable environment that celebrates people for all of who they are
# LI-AB1</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>

Explore 1212+ Senior data engineer in Egypt this May. Find roles across top companies and apply now to boost your career.

1212 senior data engineer jobs In Egypt

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer - Alexandria

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Senior Data Engineer

Senior Data Engineer