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CrossWorkers

<div><h3 class="jobSectionHeader">Senior Data Engineer</h3><h3 class="jobSectionHeader">
Job Title: Senior Data Engineer</h3>
Department: IT Department 
Location: On-site 
Employment Type: Full-time 
Level: Mid-level / Senior 
Location: Cairo Office, New Cairo 
About the Job:
We are seeking for a Data Engineer with strong experience in AI/ML data pipelines and expertise in modern data platforms such as Databricks, Snowflake, or Azure AI. You will design, implement, and optimize large-scale data systems to support machine learning and analytics initiatives. 
Technical profile/ Your duties:<ul>
<li>
Deliver the assigned tasks within due time frame and minimum percentage of defects/bugs, ensuring the needed quality of delivery is attained.</li>
<li>Ensure being up to date with the latest needed technologies aiding the Client&rsquo;s projects needs and delivery.</li>
<li>Document all tasks being implemented for easy reference to the development team and Clients.</li>
<li>Effectively Communicates with the Team/Client, for an easy flow of information and connection with the team.</li>
<li>Manage time to utilize 25% - 30% for research and learning and 70% - 75% for technical development.</li>
<li>Provides information by collecting, analyzing, and summarizing development and service issues.</li>
<li>Follow the NDA &amp; Security Data Protection Guidelines ensuring data is confidential and not disclosed to any third parties</li> 
</ul>
Job Description:<ul>
<li>
Design and build end-to-end data pipelines enabling AI and ML solutions.</li>
<li>Work with Databricks, Snowflake, or Azure AI for large-scale data processing.</li>
<li>Develop ETL/ELT pipelines and optimize data flows.</li>
<li>Ensure data quality, integrity, and governance.</li>
<li>Collaborate with Data Scientists to support ML model development and deployment.</li>
<li>Write efficient queries and workflows using SQL.</li>
<li>Automate workflows using Python or similar scripting languages.</li>
Optimize performance of data systems and storage layers. 
<li>
</li>
</ul>Required Skills and Qualification: 
<ul>
<li>Strong experience with AI/ML workflows or supporting machine learning teams.</li>
<li>Hands-on expertise in Databricks, Snowflake, or Azure AI.</li>
<li>Excellent knowledge of SQL and data modeling.</li>
<li>Experience with Python for data engineering tasks.</li>
<li>Familiarity with cloud data architectures (Azure/AWS/GCP).</li>
<li>Strong understanding of distributed computing and modern data ecosystems.</li> 
</ul>
Join Us and Thrive! Here's What We Offer:<ul>
<li>
Seamless Commute: Enjoy hassle-free transportation to and from work!</li>
<li>Work-Life Harmony: We believe in balancing your professional and personal life, because you deserve it!</li>
<li>Competitive Salary: We value your skills and offer an attractive package.</li>
<li>Comprehensive Care: Rest easy with our social and medical insurance that keeps you covered.</li>
<li>Inspiring Workspace: Work in a vibrant office equipped with the latest technology to fuel your creativity.</li>
<li>Empowered Environment: Experience a management style that&rsquo;s open and inclusive, rooted in Scandinavian values.</li>
<li>Grow With Us: Unlock your potential with opportunities for personal development and continuous learning!</li>
<li>Travel: Travel to connect with your client and build lasting relationships!</li> 
</ul>
About Crossworkers 
We are Danish owned software offshoring company, providing European clients with professional Egyptian developers. 
We have been in business since 2009, providing excellent services within the offshoring software development. 
The headquarters are in Copenhagen, Denmark and the Offshore Development Center is in the Fifth Settlement, New Cairo. 
 We have more branches in Sweden, Norway, Finland, Switzerland, UK, Germany and lately Bahrain.</div>

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>
5+ 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>
PJ7GmyHdvJ</div>

Unifonic

<div>Proudly voted a Great Place to Work&reg;, we are a dynamic startup in the SaaS space that is revolutionizing the way businesses communicate. Our team is made up of 500 energetic and passionate Unifones who are dedicated to delivering the best possible experience to 5000+ customer-centric companies. 
We pride ourselves on our fun and collaborative work environment, where creativity and new ideas are constantly encouraged. As shareholders in the business, we&rsquo;re so much more than a group of passionate communicators. We are Unifones. Join our team and be a part of something big! 
Meet the Team!
Our Engineering team is responsible for designing, developing, and maintaining the systems and technologies that drive Unifonic&rsquo;s solutions. We work closely with other departments to ensure our products and services meet the needs of our customers. If you are passionate about technology and are excited about working on cutting-edge communication and engagement solutions, we want you on our team. 
As a Senior Data Engineer, you will invest in our &quot;Data Foundation&quot; space to become a data-driven organization and to provide our business with needed insights about our customers, performance, and future predictions. In this role, you will be responsible for building the future enterprise Data Lake for Unifonic, end-to-end data-related capabilities from data ingestion to reporting. 
Help us shape the future of communication by:<ul><li>
Helping to establish industry best practices for the data engineering team, by building the needed capabilities for the organization to become more data-driven.</li><li>
Evolving our data architecture by determining structural requirements; developing and installing solutions.</li><li>
Building upon existing data lakes &amp; data warehouses based on structural requirements and in-depth analysis.</li><li>
Testing and maintaining those databases to ensure their longevity and overall efficiency.</li></ul> 
What you'll bring:<ul><li>
Hands-on 6+ years of experience in Data Engineering and Big Data.</li><li>
Proven work experience with ETL Development or similar areas.</li><li>
Advanced knowledge in Database Engines, Data Lakes, Data Practices, and policies.</li><li>
In-depth understanding of database structure principles, integration, ETL, ELT, data processing, and data management.</li><li>
Expertise in Data Warehouse &amp; Data Lake technologies. Such as Vertica, Greenplum, Cloudera framework/ecosystems, Apache Kafka, ApacheNiFi, Apache Spark, Impala, etc).</li><li>
Hands-on experience with programming languages, such as Python, Java, Scala, and SQL.</li><li>
Experienced in assembling large, complex data sets that meet functional / non-functional business requirements.</li><li>
Experienced in building the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources technologies.</li><li>
Bachelor&rsquo;s degree in a related field.</li><li>
Analytical skills and strong organizational abilities.</li></ul>
As a Unifone you&rsquo;ll receive a range of benefits:<ul><li>
Competitive salary and bonus.</li><li>
Unifonic share scheme (we are all owners!).</li><li>
30 holiday days after the first anniversary.</li><li>
Spend up to 10 weeks per year working from anywhere in the world!</li><li>
Paid leave for new parents.</li><li>
LinkedIn Learning License.</li></ul></div>

Al Ahly Momkn

<div>
 A subsidiary of Al Ahly Capital, Al Ahly Momkn is a fast-evolving Fin-tech company committed to promoting secure, convenient &amp; seamless payment solutions and financial services for business owners, service providers and consumers across Egypt.
 
 
 
 
 At Al Ahly Momkn, we foster a culture of innovation, collaboration, and personal growth.
 
 
 
 We believe in empowering our employees to unleash their full potential and make a real impact in their roles. As part of our team, you'll have the opportunity to work on exciting projects, learn from industry experts, and be part of a supportive and inclusive community.
 
 
 
 <ul>
 <li>
 Create and enhance data solutions enabling seamless delivery of data and is responsible for collecting, parsing, managing, and analyzing large sets of data across different domains for analysis.
 
 </li>
 <li>
 Use different Data warehousing concepts to build a Data warehouse for internal departments of the organization.
 
 </li>
 <li>
 Designs and develops data pipelines, data ingestion and ETL processes that are scalable, repeatable, and secure for stakeholder needs.
 
 </li>
 <li>
 Build Data architecture to support data management strategies to support business intelligence efforts for various stakeholders.
 
 </li>
 <li>
 Develops near real-time and batch ETL data processes aligned with business needs, manages and augments data pipeline from raw OLTP databases to data solution structures.
 
 </li>
 <li>
 Documents data flow diagrams, security access, data quality and data availability across all business systems.
 
 
 
 
 </li>
 </ul>
 Requirements
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science or related field.
 
 </li>
 <li>
 Minimum 3 years of experience working with Python, Linux/Windows servers, and databases (Oracle, MySQL, MS-SQL, MongoDB).
 
 </li>
 <li>
 Proven hands-on experience in ETL development using Apache Spark, Airflow, Impala, Hadoop, and HDFS, along with strong understanding of ODS, DDS, and data marts.
 
 </li>
 <li>
 Good understanding of FinTech, E-Payment systems, and related business functions.
 
 </li>
 <li>
 Strong communication skills and ability to work effectively under ambitious timelines in a dynamic, high-growth environment.
 
 
 
 
 </li>
 </ul>
 Benefits
 
 
 <ul>
 <li>
 Embark on an exciting journey with the Fin-Tech Experts.
 
 </li>
 <li>
 Join a workplace that actively encourages and supports all talents.
 
 </li>
 <li>
 A support system where you have a safe place to voice your opinion, share feedback, and be your true authentic self.
 
 </li>
 <li>
 Join us in our mission to accelerate financial inclusion and make financial freedom accessible to all.
 
 
 </li>
 </ul>
</div>

Envision Employment Solutions

Envision Employment Solutions is currently looking for a Senior Data Management Engineer for one of our partners, a global leader in the IT Services and IT Consulting.
 
Job Summary: 
We are looking for a Senior Data Management Engineer / Senior Data Engineer with strong experience in data architecture, integration, and transformation, particularly with Informatica. The ideal candidate will be responsible for designing and implementing end-to-end data solutions that enable data accessibility, quality, and governance across the enterprise.
 You will work closely with cross-functional teams to understand business requirements and translate them into scalable, reliable, and secure data systems.
 
Responsibilities: 
<ul>
<li>Design, build, and maintain data pipelines and ETL processes using Informatica</li>
<li>Develop and optimize data integration workflows for structured and unstructured data</li>
<li>Ensure data quality, consistency, and security across platforms</li>
<li>Collaborate with business analysts, data architects, and developers to align data solutions with business needs</li>
<li>Maintain documentation of data flows, processes, and systems</li>
<li>Troubleshoot and resolve data-related issues and performance bottlenecks</li>
<li>Participate in data modeling and architecture discussions</li>
</ul>
Requirements: 
<ul>
<li>Bachelor's degree in Computer Science, Information Systems, or related field</li>
<li>3 to 4 years of experience in data engineering or data management roles</li>
<li>Strong hands-on experience with Informatica (PowerCenter, IDQ, or Cloud Data Integration)</li>
<li>Proficiency in SQL and experience working with relational databases (Oracle, SQL Server, etc.)</li>
<li>Solid understanding of data warehousing concepts and architecture</li>
<li>Experience with data governance and metadata managemen</li>
<li>Familiarity with cloud data platforms (e.g., AWS, Azure, GCP) is a plus</li>
<li>Excellent communication skills in English (Very Good Level)</li>
</ul>

Senior Data Management Engineer

SDG Group

<div>SDG Group is expanding its global Data &amp; Analytics practice and is seeking a motivated Data Analytics Engineer with 2 to 6 years of experience in DataOps. The ideal candidate has strong hands-on experience with either Databricks or Snowflake, alongside solid understanding of modern cloud data platforms and best practices in data engineering.
This role offers a full-time employment contract in USD, allowing remote work on international projects aligned with the European working week (Monday to Friday).
Key Responsibilities<ul>
<li>
Design, build, and maintain scalable and reliable data pipelines following DataOps best practices</li>
<li>Work with modern cloud data stacks using Databricks (Spark, Delta Lake) or Snowflake (Snow pipe, tasks, streams)</li>
<li>Develop and optimize ETL/ELT workflows using Python, SQL, and orchestration tools</li>
<li>Work with Azure data services (ADF, ADLS, Azure SQL, Azure Functions)</li>
<li>Implement CI/CD practices using Azure DevOps or Git-based workflows</li>
<li>Ensure data quality, consistency, and governance across all delivered data solutions</li>
<li>Monitor and troubleshoot pipelines for performance and operational excellence</li>
<li>Collaborate with international teams, architects, and analytics consultants</li>
<li>Contribute to technical documentation and solution design assets</li>
</ul>
Required Skills &amp; Qualifications<ul>
<li>
Bachelor&rsquo;s degree in computer science, Engineering, Information Systems, or related field</li>
<li>Hands-on experience in DataOps / Data Engineering</li>
<li>Strong knowledge in Databricks OR Snowflake (one of them is mandatory)</li>
<li>Proficiency in Python and SQL</li>
<li>Experience with Azure data ecosystem (ADF, ADLS, Synapse, etc.)
</li><li>Understanding of CI/CD practices and DevOps for data.</li>
<li>Knowledge of data modeling, orchestration frameworks, and monitoring tools</li>
<li>Strong analytical and troubleshooting skills</li>
<li>Eagerness to learn and grow in a global consulting environment</li>
</ul>
Nice to Have<ul>
<li>
Experience with Delta Live Tables, Unity Catalog, or Lakehouse concepts</li>
<li>Knowledge of BI tools (Power BI, Qlick)</li>
<li>Exposure to Agile / Scrum frameworks</li>
Relevant certifications (Azure Data Engineer, Databricks, Snowflake) 
<li>
 
</li></ul>What We Offer<ul>
<li>
Remote working model aligned with international project needs</li>
<li>Full-time employment contract with a USD-based compensation package</li>
<li>Opportunity to work on European and global engagements</li>
<li>Mentorship and growth paths within SDG Group</li>
<li>A dynamic, innovative, and collaborative environment</li>
<li>Access to world-class training and learning platforms</li></ul></div>

Junior/Senior Data Analytics Engineer

Henkel

<div><div><h4 class="jobSectionHeader">About this Position
</h4>The position is part of the Global Business Solution in Cairo (GBS+ Cairo), in the Global Tech Hub specifically handling the Data Analytics.<h4 class="jobSectionHeader">
What you&acute;ll do
</h4><ul><li>Contribute to data analytics and digital transformation projects on a global scale.</li><li>
Work closely with business units and functions to analyze data, identify key drivers, and define the necessary analytics and KPIs that steer the business and enable data-driven decision making.</li><li>
Participate in data processing and transformation to prepare data for building analytics solutions using cloud platforms.</li><li>
Build data models following state-of-the-art schemas such as star schema and snowflake.</li><li>
Contribute to developing dashboards and reports in Power BI, combining existing and new data sources to deliver actionable insights.</li><li>
Support the design, development, and maintenance of data-driven solutions by piloting advanced tools and cloud technologies (e.g., Azure, Databricks).</li><li>
Assist in data preprocessing and analysis across multiple systems to ensure data accuracy, quality, and consistency.</li>
</ul><h4 class="jobSectionHeader">What makes you a good fit
</h4><ul><li>Bachelor&rsquo;s degree, master's degree in computer science, Business Informatics, Actuarial Sciences, or a related field.</li><li>
4&ndash;6 year of relevant work experience in data analytics, business intelligence or engineering.
</li><li>Strong proficiency in Python for data processing &amp; transformations, analytics, and automation (experience with R is a plus)
</li><li>Proficiency in SQL and strong understanding of database Design &amp; Data Modeling (e.g., star schema, snowflake).</li><li>
Hands-on experience with data visualization tools such as Power BI (mandatory) or Tableau</li><li>
Preferable experience with Microsoft Azure ecosystem (e.g., DevOps, Machine Learning,
 
Databricks, Data Factory etc.) and familiarity with SAP processes.
</li><li>Fluent in English, with excellent communication and teamwork skills.
</li><li>Proficient in Microsoft Office applications (Word, Excel, PowerPoint).</li>
</ul><h4 class="jobSectionHeader">Some perks of joining Henkel
</h4><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></div>

Senior Data Analytics Engineer

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2000 senior data engineer jobs IN Egypt

Senior Data Engineer

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Junior/Senior Data Analytics Engineer

Senior Data Analytics Engineer