technical support engineer

ai platform engineer

analytics engineer ii

contracts engineer

data analyst

data engineer

Henkel

<div>
 
 About this Position
 
 The Data Engineer supports the development and operation of Henkel&rsquo;s enterprise metadata platform, DataHub. The role focuses on building scalable data engineering and governance solutions that connect key enterprise platforms into one centralized ecosystem serving global data consumers.
 
 
 As part of a hands-on engineering environment, the position contributes to data quality, automation, and cloud-based capabilities that strengthen how data is discovered, understood, and trusted across Henkel.
 
 
 
 What You&acute;ll Do
 
 
 
 <ul>
 <li>
 Build and maintain scheduled metadata ingestion pipelines integrating platforms such as Databricks Unity Catalog, Power BI, SAP, and Azure Synapse into DataHub
 </li>
 <li>
 Support and enhance governance automation solutions covering dataset compliance, ownership, descriptions, lineage, and automated tagging
 </li>
 <li>
 Develop and improve data quality and completeness scoring capabilities across the enterprise data landscape
 </li>
 <li>
 Work directly with DataHub SDKs, REST APIs, and GraphQL APIs to support metadata operations and integrations
 </li>
 <li>
 Contribute to AI-enabled metadata access capabilities supporting intelligent assistants and modern AI solutions
 </li>
 <li>
 Build and maintain data lineage between source systems and downstream consumers
 </li>
 <li>
 Develop scalable cloud-native solutions running on Azure Kubernetes Service (AKS)
 </li>
 <li>
 Collaborate with global and cross-functional teams to support scalable and reliable enterprise data solutions
 </li>
 <li>
 Support engineering best practices including testing, monitoring, and continuous platform enhancements
 
 
 </li>
 </ul>
 
 What makes you a good fit
 
 
 
 <ul>
 <li>
 </li>
 <li>
 Strong experience with Python and SQL, including working with analytical databases such as PostgreSQL or Databricks
 </li>
 <li>
 Experience building and maintaining scalable and scheduled data pipelines, including automation, error handling, and reliability practices
 </li>
 <li>
 Understanding of REST APIs, GraphQL, and system integrations
 </li>
 <li>
 Experience with cloud platforms and services, preferably Microsoft Azure and Databricks
 </li>
 <li>
 Familiarity with containerization technologies and Kubernetes-based environments
 </li>
 <li>
 Experience with metadata platforms or data governance solutions such as DataHub or similar tools is considered a plus
 </li>
 <li>
 Familiarity with CI/CD pipelines, infrastructure automation, and modern engineering practices is an advantage
 </li>
 <li>
 Strong analytical, problem-solving, and communication skills
 </li>
 <li>
 Ability to work independently and collaborate effectively with technical and non-technical stakeholders
 </li>
 <li>
 Passion for data quality, governance, automation, and scalable engineering solutions
 </li>
 <li>
 Comfortable working with modern technologies, open-source solutions, and continuously learning new concepts and tools
 
 
 </li>
 </ul>
 
 Some perks of joining Henkel
 
 
 
 <ul>
 <li>
 Flexible work scheme with flexible hours, hybrid work model, and work from anywhere policy for up to 30 days per year
 </li>
 <li>
 Diverse national and international growth opportunities
 </li>
 <li>
 Global wellbeing standards with health and preventive care programs
 </li>
 <li>
 Gender-neutral parental leave for a minimum of 8 weeks
 </li>
 <li>
 Employee Share Plan with voluntary investment and Henkel matching shares
 </li>
 <li>
 Comprehensive Health Insurance for employee + dependents
 </li>
 <li>
 Employee Assistance Programme provides a wide range of mental health and wellbeing benefits
 
 
 </li>
 </ul>
 At Henkel, we come from a broad range of backgrounds, perspectives, and life experiences. We believe the uniqueness of all our employees is the power in us. Become part of the team and bring your uniqueness to us! We look for a diverse team of individuals who possess different backgrounds, experiences, personalities and mindsets.
</div>

Data Engineer

Partner One Capital

<div>The Data Engineer operates within the framework established by the Lead &mdash; designing, building, and maintaining robust data pipelines and transformation logic that power analytics, compliance, and operational reporting across the Mortgage Cadence Platform. The role is execution-focused with increasing ownership of end-to-end data workflows as familiarity with the platform grows. Strong SQL, ETL, and data quality skills are required; the ability to build reports and leverage semantic models is secondary to data engineering excellence. 
 
RESPONSIBILITIES<ul><li>
Design and build extraction, transformation, and loading (ETL) pipelines using Microsoft Fabric (Dataflow Gen2, Notebooks, or equivalent tools)</li><li>
Write optimized SQL queries and transformations for data ingestion from designated source systems</li><li>
Apply data quality rules and validation logic at each pipeline stage</li><li>
Implement incremental loads and manage refresh schedules for performance</li><li>
Escalate to Lead for architectural decisions or complex transformation patterns</li><li>
Define and implement data quality checks at ingestion, transformation, and output stages</li><li>
Perform ongoing data validation to ensure pipeline outputs align with business logic and source system expectations</li><li>
Identify, document, and escalate data quality issues with root cause analysis</li><li>
Maintain data quality dashboards and SLA monitoring</li><li>
Support UAT for new data sources or transformation logic</li><li>
Build and maintain data transformations using Power Query, SQL, or Python as appropriate</li><li>
Develop dimensional models and define aggregation logic aligned with analytics requirements</li><li>
Optimize data structures for performance and maintainability</li><li>
Document transformation logic, lineage, and assumptions per team standards</li><li>
Troubleshoot pipeline failures and performance issues; coordinate resolution with IT/Engineering</li><li>
Respond to data discrepancy reports from business users and analysts</li><li>
Maintain documentation of data sources, data dictionaries, and transformation specifications</li><li>
Support capacity planning and optimization of Fabric environments and pipelines</li><li>
Collaborate with Lead to define semantic models and calculated metric</li></ul> 

Requirements 
<ul><li>
Advanced SQL &mdash; query optimization, window functions, performance tuning, debugging complex transformations</li></ul><ul><li>
Proficient with Microsoft Fabric &mdash; (Dataflow Gen2, Notebooks, Lakehouse) OR equivalent ETL tools (Python, dbt, Talend, Informatica)</li><li>
Strong understanding of relational database design and dimensional modeling</li><li>
Power Query / M &mdash; complex data shaping, merging, error handling, and transformation logic</li><li>
Python or similar scripting language &mdash; data manipulation, pipeline automation</li><li>
Git/version control basics &mdash; able to collaborate on code and track changes</li><li>
Data quality and testing frameworks &mdash; unit tests, assertions, validation rules</li><li>
Ability to interpret business requirements and design efficient data solutions</li><li>
Data governance mindset &mdash; understands data lineage, documentation, and quality standards</li><li>
Proactive about identifying edge cases and potential data issues</li><li>
Mortgage/lending domain familiarity preferred; willingness to learn domain required</li><li>
Works effectively within defined standards and escalates architectural questions to Lead</li><li>
Able to balance speed with quality; advocates for technical excellence</li></ul></div>

Coca-Cola HBC

<div>
 
 
 Department:
 
 Data, Insights &amp; Artificial Intelligence (DIAI)
 
 
 
 Location:
 
 Egypt
 
 
 
 
 
 
 As a Data Quality Engineer,
 
 you will play a key role in the design, build, configuration, monitoring and continuous improvement of Coca-Cola Hellenic&rsquo;s Data Quality Management products, with a primary focus on the Data Control Center (DCC).
 
 
 You will work closely with the Data Quality &amp; Standards Product Manager, Business Stakeholders, Business Unit Data Stewards and IT partners (DTPS), ensuring that data quality controls, monitoring and reporting enable reliable and trusted data across the organization.
 
 
 This is a hands-on data engineering role requiring strong technical skills in SQL, PySpark and Azure-based data platforms, combined with full ownership of deliverables from design to production support and the flexibility to handle ad-hoc requests and parallel priorities while translating business requirements into scalable and automated data quality solutions.
 
 
 
 
 
 
 YOUR NEW KEY RESPONSIBILITIES
 
 
 
 
 Data Quality Controls (DCC)
 
 
 
 &bull; Build, configure and maintain Data Quality controls in the Data Control Center (DCC).
 
 
 &bull; Translate business requirements into data quality rules, including logic definition, thresholds, exception handling and reduction of false positives.
 
 
 &bull; Ensure DQ controls are aligned with agreed business definitions and standards.
 
 
 
 
 
 
 Monitoring, Operations &amp; Issue Resolution
 
 
 
 &bull; Monitor DQ performance and ensure stable DCC operations, including regular refresh cycles and system reliability.
 
 
 &bull; Troubleshoot failed checks, investigate data issues and perform root-cause analysis in collaboration with relevant stakeholders.
 
 
 &bull; Support incident resolution and contribute to continuous operational improvements.
 
 
 
 
 
 
 Continuous Improvement &amp; Enhancement
 
 
 
 &bull; Implement improvements to existing DQ checks and contribute to the continuous enhancement of DCC capabilities.
 
 
 &bull; Identify opportunities to improve automation, scalability and reusability of controls and monitoring processes.
 
 
 &bull; Identify opportunities to automate monitoring and reduce manual effort for stakeholders.
 
 
 
 
 
 
 Reporting &amp; Dashboards
 
 
 
 &bull; Develop and maintain DQ dashboards and scorecards, enabling visibility of DQ KPIs, trends and drilldowns.
 
 
 &bull; Support stakeholders with insights and reporting to track performance and drive quality improvement actions.
 
 
 
 
 
 
 Data Standards Operationalization
 
 
 
 &bull; Support data standards operationalization by ensuring alignment between published standards and DQ checks.
 
 
 &bull; Support adoption and compliance visibility by enabling reporting and transparency on standards adherence.
 
 
 
 
 
 
 Collaboration &amp; Delivery Support
 
 
 
 &bull; Work closely with the Product Manager and business stakeholders to clarify requirements, validate solutions and ensure high usability and adoption.
 
 
 &bull; Collaborate with DTPS and vendors to deliver end-to-end solutions, including integration dependencies and technical enablement.
 
 
 &bull; Run demos and workshops when needed to support rollout, stakeholder understanding and adoption.
 
 
 Testing, Release &amp; Documentation
 
 
 &bull; Support release and testing activities, including UAT support and regression testing.
 
 
 &bull; Maintain basic documentation of implemented DQ checks, logic, definitions and changes.
 
 
 
 
 
 
 ARE THESE YOUR SECRET INGREDIENTS?
 
 
 
 &bull; 3+ years in data engineering / analytics engineering / data quality engineering
 
 
 &bull; Strong SQL and Python for scalable data validation and monitoring
 
 
 &bull; Experience working with Databricks and modern data pipelines (ADF or similar)
 
 
 &bull; Strong analytical and problem-solving mindset with attention to detail and quality.
 
 
 &bull; Ability to translate business requirements into technical implementation and measurable outcomes.
 
 
 &bull; Comfortable working across multiple stakeholders in a cross-functional environment.
 
 
 &bull; Strong communication skills and ability to explain technical topics to non-technical audiences.
 
 
 &bull; Ownership mindset: proactive, reliable and continuously improving solutions.
 
 
 
 
 
 
 REQUIRED TECHNICAL SKILLS
 
 
 
 &bull; SQL
 
 
 &bull; Python
 
 
 &bull; PySpark
 
 
 &bull; Azure Databricks
 
 
 &bull; Azure Data Factory
 
 
 &bull; Power BI
 
 
 
 
 
 
 NICE TO HAVE
 
 
 
 &bull; Power Platform (Power Automate, etc.)
 
 
 &bull; Microsoft Fabric
 
 
 &bull; Copilot Studio
 
 
 &bull; Experience working in a Data Mesh framework and/or domain data product mindset
 
 
 &bull; Good awareness of key SAP MDG, MM, S/4HANA domains
 
 
 
 
 
 
 ABOUT YOUR NEW TEAM:
 
 
 
 We are Coca-Cola Hellenic, a growth-focused consumer goods business and strategic bottling partner of the Coca-Cola Company. We bottle, distribute and sell an unrivalled range of products in 29 markets in Europe, Africa and Eurasia. As we do, we create value for all stakeholders, support socio-economic growth and build a more positive environmental impact.
 
 
 We bring together more than 30,000 people from over 70 nationalities, coming from five continents. The diversity of our markets, from mature to emerging economies, provides a wide range of attractive opportunities for growth.
 
 
 We nurture our talents. We give opportunities to people across all functions and levels, as well as different geographies, backgrounds and education. We are willing to take a risk on the people we believe in, even if they don&rsquo;t have the perfect experience. We have faith in what every person can be.
 
 
 And although we have so much to be proud of, we always stay humble. We believe the real magic happens - for us and for you - when we OPEN UP.
 
 
 
 
 
 
 AT COCA-COLA HBC, DIVERSITY HELPS US THRIVE
 
 
 
 At Coca-Cola HBC, we are an inclusive employer that thrives on diversity. This means our environment provides equal opportunities for all, regardless of race, color, religion, age, disability, sexual orientation, or gender identity. Join us in nurturing a culture where everyone belongs and contributes to our collective success.
 
 
 
</div>

Integrant, Inc.

<div>
 
 We're on the lookout for exceptional individuals to join our team as
 
 Principal 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>
 6+ 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 - 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>

Principal Data Engineer

<div>
 
 Introduction
 
 
 
 A career in IBM Consulting is built on long-term client relationships and close collaboration worldwide. You&rsquo;ll work with leading companies across industries, helping them shape their hybrid cloud and AI journeys. With support from our strategic partners, robust IBM technology, and Red Hat, you&rsquo;ll have the tools to drive meaningful change and accelerate client impact. At IBM Consulting, curiosity fuels success. You&rsquo;ll be encouraged to challenge the norm, explore new ideas, and create innovative solutions that deliver real results. Our culture of growth and empathy focuses on your long-term career development while valuing your unique skills and experiences.
 
 
 
 Your Role And Responsibilities
 
 
 
 As a Data Engineer specializing in Data Integration, you will design and build solutions to transfer data from operational and external environments to the business intelligence environment. You will utilize various tools to create and implement Extract, Transform, and Load (ETL) processes, ensuring the seamless flow of data throughout the business intelligence solution's lifecycle. Your primary responsibilities will include:
 
 
 <ul>
 <li>
 Design Data Integration Solutions: Create solutions to transfer data from operational and external environments to the business intelligence environment, utilizing tools such as Informatica, Ab Initio software, and DataStage.
 </li>
 <li>
 Implement ETL Processes: Develop and implement Extract, Transform, and Load (ETL) processes to ensure the seamless flow of data throughout the business intelligence solution's lifecycle.
 </li>
 <li>
 Utilize Data Integration Tools: Apply knowledge of Informatica, Ab Initio software, and DataStage to design and build data integration solutions.
 </li>
 <li>
 Ensure Seamless Data Flow: Ensure the smooth flow of data throughout the business intelligence solution's lifecycle by creating and implementing efficient ETL processes.
 </li>
 <li>
 Support Business Intelligence: Support the business intelligence environment by designing and building solutions to transfer data from operational and external environments.
 
 
 </li>
 </ul>
 
 Required Technical And Professional Expertise
 
 
 
 <ul>
 <li>
 Exposure to Data Integration Tools: Familiarity with tools such as Informatica, Ab Initio software, and DataStage, with the ability to apply this knowledge to design and build data integration solutions.
 </li>
 <li>
 Experience with ETL Processes: Understanding of Extract, Transform, and Load (ETL) processes, with the ability to develop and implement these processes to ensure seamless data flow.
 </li>
 <li>
 Data Solution Design: Exposure to designing solutions to transfer data from operational and external environments to the business intelligence environment.
 </li>
 <li>
 Data Flow Management: Experience working with data flows, with the ability to ensure the smooth flow of data throughout the business intelligence solution's lifecycle.
 </li>
 <li>
 Business Intelligence Support: Exposure to supporting business intelligence environments, with the ability to design and build solutions to transfer data from operational and external environments.
 
 
 </li>
 </ul>
 
 Preferred Technical And Professional Experience
 
 
 
 <ul>
 <li>
 Additional Data Integration Tools: Exposure to other data integration tools beyond Informatica, Ab Initio software, and DataStage, with the ability to quickly learn and apply new tools to design and build data integration solutions.
 </li>
 <li>
 Advanced ETL Process Development: Experience with complex ETL process development, including data mapping, data transformation, and data quality checks, to ensure seamless data flow throughout the business intelligence solution's lifecycle.
 </li>
 <li>
 Business Intelligence Environment Knowledge: Exposure to various business intelligence environments, with the ability to design and build solutions to transfer data from operational and external environments to support business intelligence initiatives.
 </li>
 </ul>
</div>

Senior Data Engineer

Sana Commerce

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

Senior Data Engineer - Alexandria

Halan - حالا

<div>
 
 
 About the Role
 
 
 
 
 
 
 
 As a Data Engineering Intern, you will work alongside experienced engineers to build, optimize, and maintain data systems that power critical business decisions. This is a hands-on, mentorship-driven role designed to help you develop practical skills in data engineering, software development, and modern data platforms.
 
 
 
 
 We care more about your curiosity, problem-solving ability, and willingness to learn than the number of technologies you already know. If you enjoy working with data, building scalable systems, and exploring how data can drive real-world impact, this role is for you.
 
 
 
 
 
 
 
 Principal Responsibilities &amp; Accountabilities
 
 
 
 
 
 <ul>
 
 <li>
 
 Build and maintain ETL/ELT pipelines to collect, transform, and process data efficiently
 
 </li>
 
 <li>
 
 Write clean, maintainable, and reusable code using Python and SQL
 
 </li>
 
 <li>
 
 Work with relational and non-relational databases to store and retrieve data effectively
 
 </li>
 
 <li>
 
 Support data modeling efforts to improve reporting, analytics, and application performance
 
 </li>
 
 <li>
 
 Assist in monitoring, troubleshooting, and optimizing data workflows
 
 </li>
 
 <li>
 
 Collaborate with Data Scientists and Software Engineers to prepare datasets and support machine learning initiatives
 
 </li>
 
 <li>
 
 Use Git for version control and participate in code reviews and team discussions
 
 </li>
 
 <li>
 
 Follow engineering best practices, coding standards, testing, and documentation guidelines
 
 </li>
 
 </ul>
 
 
 
 
 
 Qualifications
 
 
 
 
 
 <ul>
 
 <li>
 
 Strong understanding of computer science fundamentals, including data structures, algorithms, and problem-solving
 
 </li>
 
 <li>
 
 Working knowledge of Python and SQL
 
 </li>
 
 <li>
 
 Understanding of database concepts, including relational databases and basic data modeling
 
 </li>
 
 <li>
 
 Familiarity with ETL processes and data transformation concepts
 
 </li>
 
 <li>
 
 Basic understanding of software engineering principles and Object-Oriented Programming (OOP)
 
 </li>
 
 </ul>
 
 
 
 
 
 Nice to Have
 
 
 
 
 
 <ul>
 
 <li>
 
 Exposure to big data technologies such as Apache Spark, Hadoop, or Flink
 
 </li>
 
 <li>
 
 Familiarity with cloud platforms such as AWS, GCP, or Azure
 
 </li>
 
 <li>
 
 Experience with PostgreSQL, MongoDB, Cassandra, Snowflake, or BigQuery
 
 </li>
 
 <li>
 
 Personal projects, GitHub repositories, or coursework involving data engineering or analytics
 
 </li>
 
 <li>
 
 Exposure to machine learning concepts, feature engineering, or MLOps practices
 
 </li>
 
 </ul>
 
 
 
 
 
 What You'll Gain
 
 
 
 
 
 <ul>
 
 <li>
 
 Real production experience working on large-scale data systems
 
 </li>
 
 <li>
 
 Exposure to modern data engineering tools, architectures, and best practices
 
 </li>
 
 <li>
 
 Experience collaborating with Data Science, Engineering, and Product teams
 
 </li>
 
 <li>
 
 Mentorship from experienced engineers and guidance on technical growth
 
 </li>
 
 <li>
 
 Potential pathway to a full-time role based on performance and impact
 
 </li>
 
 </ul>
 
 
 
 
 
 Program Highlights
 
 
 
 
 
 <ul>
 
 <li>
 
 1-month internship program
 
 </li>
 
 <li>
 
 Fully onsite experience
 
 </li>
 
 <li>
 
 Dedicated mentor assigned throughout the internship
 
 </li>
 
 <li>
 
 Hands-on exposure to real projects and day-to-day activities
 
 </li>
 
 <li>
 
 Opportunity to learn from experienced professionals
 
 </li>
 
 <li>
 
 Certificate of completion awarded upon successful completion of the program
 
 </li>
 </ul>
</div>

Data Engineer - Intern

Explore 480+ Data engineer in Egypt this July. Find roles across top companies and apply now to boost your career.

480 data engineer jobs In Egypt

Data Engineer

Data Engineer

Data Engineer

Principal Data Engineer

Senior Data Engineer

Senior Data Engineer - Alexandria

Data Engineer - Intern