senior software engineer

data analyst

production engineer

project engineer

ai engineer

data engineer

Invygo

<div><p><b>About invygo</b></p><p>
invygo was founded in 2018 in Dubai with the purpose of <b>redefining mobility in the Middle East and North Africa (MENA)</b>. Fuelled by a passion for innovation, technology and mobility, our mission is to empower people to move on their own terms, minimising the frustrations caused by traditional car ownership models. We make car access seamless and flexible for everyone.. We believe invygo is the smartest way to move, and to keep living up to our ideal, we rely on our people to share these goals and ambitions. Headquartered in Dubai, with offices in Riyadh and Cairo, our team consists of passionate, dedicated, <b>bold innovators</b> that are relentless in enabling the company to deliver a trusted and personalised experience that transforms how people move in MENA. With successful expansions into<b> UAE,</b> <b>Saudi Arabia</b> and <b>Qatar</b>, our footprint is rapidly growing as we continue to innovate and transform the automotive landscape across the region.</p><p>
At invygo, we&rsquo;re not just offering a service; we&rsquo;re crafting a new era of mobility in MENA. We are always seeking passionate, dedicated and innovative thinkers to join us in making our future vision a reality. If you are that person, join us in moving the MENA mobility landscape forward and continuing to insure that invygo is, and remains, the smartest way to move.</p><p><b>
About the role</b><br>
At invygo, we are revolutionizing the way people lease cars. As a Data Engineer on our team, you'll play a key role in powering data-driven decisions across the business. Your work will focus on building scalable data pipelines, managing integrations from diverse sources, and ensuring the accuracy and reliability of critical datasets.</p><p><b>
What you will be doing</b></p><ul>
<li>Design, implement, and maintain ETL/ELT pipelines using AWS and custom scripts.</li>
<li>Ensure robust data syncing between DWH and data sources.</li>
<li>Develop and maintain scrapers of websites and mobile applications.</li>
<li>Set up alerts and monitoring for data anomalies (e.g. missing data, syncing issues).</li>
<li>Implement data quality assurance and validation frameworks.</li>
<li>Improve query and system performance, including optimization of Redshift clusters, table vacuuming, and scheduling batch jobs.</li>
<li>Work closely with DevOps for data flow integration across environments.</li>
<li>Transition legacy ETLs to modern platforms and ensure scheduled exports run reliably.</li>
<li>Eliminate redundant procedures and replace outdated solutions.</li>
</ul><p><b>Requirements</b></p><ul>
<li>3+ years of proven experience as a Data Engineer</li>
<li>Excellent programming skills in Python and SQL.</li>
<li>Hands-on experience with AWS (DMS, Redshift, S3, Glue).</li>
<li>Familiarity with data scraping techniques and frameworks.</li>
<li>Strong understanding of data warehousing concepts and performance tuning.</li>
<li>Experience with data migration.</li>
<li>Knowledge of DevOps practices and working in Agile environments.</li>
<li>Ability to work independently and collaboratively in a fast-paced environment.</li></ul></div><p></p>

Data Engineer

The Coca-Cola Company

<div><div><div><div><div><div><div><div>Egypt (Cairo)
</div></div></div></div><div><div><div>Information Technology
</div></div></div><div><div><div>Hybrid
</div></div></div><div><div><div>Experienced Professionals
</div></div></div></div></div></div><div><div><div><div><div><div><b>Department</b>: Data, Insights &amp; AI
</div><div><b>Location</b>: Egypt (Cairo).<br>
</div><div></div><br>
<div>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.<br>
</div><div></div><br>
<br>
<div><b>YOUR NEW KEY RESPONSIBILITIES:
</b></div><ul><li>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.
</li><li>Load and process data from Azure Data Lake, orchestrate Azure Databricks jobs, and manage Azure Data Factory pipelines with a high degree of proficiency.
</li><li>Develop and implement robust data quality frameworks to ensure data integrity across all stages of the data lifecycle.
</li><li>Perform data profiling, analysis, and validation to identify, troubleshoot, and resolve data quality issues in a timely and effective manner.
</li><li>Implement security, governance, and access control measures to safeguard sensitive data within Microsoft Azure environments.
</li><li>Build and maintain machine learning workflows and data pipelines that support model development, deployment, and ongoing monitoring.
</li><li>Utilize Git based version control to manage code repositories, apply structured branching strategies, and enable collaborative development practices.
</li><li>Apply Agile methodologies to plan, prioritize, and deliver data engineering work in iterative development cycles.
</li><li>Develop and maintain comprehensive documentation for data solutions, including data models, data flows, architectural diagrams, and detailed technical specifications.
</li><li>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.
</li><li>Collaborate with Azure developers and data engineers from Coca Cola Hellenic vendors, offering guidance on data engineering techniques, standards, and methodologies.
</li><li>Work closely with DevOps teams to implement and maintain continuous integration and continuous delivery pipelines for Azure based applications and data workflows.
</li><li>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.<br>
</li></ul><div></div><br>
<div><b>ARE THESE YOUR SECRET INGREDIENTS?
</b></div><ul><li>Bachelor&rsquo;s degree in computer science, engineering, or a related discipline (or equivalent practical experience),
</li><li>Two or more years of professional experience; Microsoft Azure Data Engineer certification is considered an advantage.
</li><li>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
</li><li>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.
</li><li>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.
</li><li>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.
</li><li>Proven ability to ensure data quality, reliability, and operational efficiency, supporting advanced analytics and machine learning workflows.
</li><li>A foundational understanding of machine learning concepts, feature engineering, and machine learning operations for model deployment and monitoring.<br>
</li></ul><div></div><br>
<div><b>ABOUT YOUR NEW TEAM
</b></div><div>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.
</div><div>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.
</div><div>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.
</div><div>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.<br>
</div><div></div><br>
<div><b>AT COCA-COLA HBC, DIVERSITY HELPS US THRIVE
</b></div><div>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.<br>
</div></div></div></div></div></div><div></div><br>
<div><div><div><h3 class="jobSectionHeader"><b>Benefits
</b></h3></div></div><div><div><div><div><div>Coaching and mentoring programs</div>
</div></div><div><div><div>Development opportunities</div>
</div></div><div><div><div>Equal opportunity employer</div>
</div></div><div><div><div>IT Equipment</div>
</div></div><div><div><div>Learning programs</div>
</div></div><div><div><div>Work with iconic brands</div>
</div></div><div><div><div>Supportive team</div>
</div></div><div><div><div>Volunteering Opportunities</div></div></div></div></div></div></div>

PropertyPilot

<p></p><div><p><b>About PropertyPilot</b></p>
<p>
PropertyPilot is building a new, app-first product for property investors. The product foundation is in place, and we are entering the phase where early users, real feedback, and market momentum matter most.</p>
<p>
We are operating before product-market fit. Growth at PropertyPilot is not about brand campaigns or long planning cycles &mdash; it&rsquo;s about getting the right users in the door, learning from real usage, and iterating quickly. We believe the strongest growth engines are built through disciplined experimentation and tight feedback loops between growth, product, and engineering.</p>
<p>
This is a hands-on environment by design. Leaders at PropertyPilot execute. You will be directly responsible for driving early adoption, recruiting and activating beta users, testing acquisition channels, and turning data into insight. There is no team to manage at the start &mdash; and that&rsquo;s intentional.</p>
<p><b>
About this Role</b></p>
<p>
We are looking for a Senior Data Engineer to design and maintain scalable data pipelines and analytics platforms. You will play a key role in transforming raw data into reliable, high-quality datasets.</p>
<p><b>
Key Responsibilities</b></p>
<ul>
<li>Design, build, and maintain <b>ETL/ELT pipelines</b></li>
<li>Manage large-scale data ingestion and transformation</li>
<li>Work with cloud-native data solutions on <b>AWS</b></li>
<li>Ensure data quality, reliability, and performance</li>
<li>Collaborate with analytics, product, and engineering teams</li>
<li>Optimize data workflows for scalability and cost</li>
</ul>
<p><b>Required Skills &amp; Experience</b></p>
<ul>
<li>Strong experience with <b>ETL pipelines</b></li>
<li>Expertise with <b>AWS data tools</b> (e.g. S3, Glue, Athena, Redshift, EMR)</li>
<li>Proficiency in SQL and data modeling</li>
<li>Experience handling large and complex datasets</li>
<li>Strong problem-solving and debugging skills</li>
</ul>
<p><b>Nice to Have</b></p>
<ul>
<li>Experience with <b>GIS / geospatial data processing</b></li>
<li>Knowledge of spatial databases or geospatial formats</li>
<li>Experience with data orchestration tools (e.g. Airflow)</li></ul></div>

Senior Data Engineer

SDG Group

<div><h2 class="jobSectionHeader"><b>Responsibilities</b></h2><ul><li><p><b>
End-to-End Solutions:</b> You will design and develop end-to-end solutions for processing large data volumes, spanning from the initial business problem to scalable and optimized ETL/ELT pipelines.</p></li><li><p><b>
Tech Stack:</b> You will work with technologies such as <b>Databricks, Snowflake, dbt, and Microsoft Fabric</b>, using <b>Spark (Python/Scala)</b>, <b>SQL</b>; and orchestration with <b>Airflow, Data Factory</b> or similar tools.</p></li><li><p><b>
Advanced Architectures:</b> You will help to define and implement advanced architectures under the <b>Data Lakehouse and Data Warehouse</b> paradigms, supporting diverse data processing patterns including <b>Batch, Near Real Time, and Streaming</b>.</p></li><li><p><b>
Data Integration:</b> You will develop <b>data ingestion and transformation pipelines</b> from diverse sources (APIs, files, databases, streaming), to build analytical data models supporting business use cases.</p></li><li><p><b>
Platform Foundation</b>: You will collaborate in the implementation of frameworks and engines that provide a standard framework for the main functions of a data platform: <b>Orchestration, Ingestion, Transformation, Quality, Security, Testing, Deployment, Observability</b>, among others.</p></li><li><p><b>
Collaboration:</b> You will collaborate with multidisciplinary teams and stakeholders, translating complex requirements into efficient technical solutions.</p></li><li><p><b>
Continuous Learning:</b> You will stay up to date with the latest technological trends&mdash;especially in Data &amp; Analytics&mdash;through continuous training and the exploration of new tools and innovations.</p></li><li><p><b>
Career Path</b>: You will be in control of your professional development together with your managers. SDG Group will give you the opportunity to build a professional career oriented to become a Data Architect in a world-class organization.</p></li></ul><p></p><h2 class="jobSectionHeader"><b>
Requirements</b></h2><ul><li><p><b>
Education:</b> Degree in Computer Engineering or Computer Science. It&rsquo;s a plus to have a Master&rsquo;s Degree in any Data-related field.</p></li><li><p><b>
Languages:</b> English C1 level or higher.</p></li><li><p><b>
Experience:</b> <b>2+ years</b> of experience in <b>Data Lake and/or Data Warehouse</b> projects.</p></li><li><p><b>
ETL/ELT:</b> Experience on data integration with <b>Spark (Python or Scala) and/or SQL</b> and <b>dimensional data modeling</b>.</p></li><li><p><b>
Cloud:</b> Experience working in Cloud environments (<b>AWS, GCP, or Azure</b>) and platforms (<b>Databricks, Snowflake, Microsoft Fabric</b>).</p></li><li><p><b>
Code Management &amp; DataOps:</b> Solid understanding of Git, CI/CD, pipeline monitoring, data quality control, and data versioning.</p></li><li><p><b>
Consulting Background:</b> Previous experience in consulting is a plus.</p></li></ul></div><p></p>

Junior Data Engineer

Valeo

<div><p>Valeo is a tech global company, designing breakthrough solutions to reinvent the mobility. We are an automotive supplier partner to automakers and new mobility actors worldwide. Our vision? Invent a greener and more secured mobility, thanks to solutions focusing on intuitive driving and reducing CO2 emissions. We are leader on our businesses, and recognized as one of the largest global innovative companies.
</p><p></p><p><b>You will be joining the </b><b>AI4ALL </b>initiative within our Group IS Application Center (GISACC). This agile team is dedicated to revolutionizing our products and internal tools by harnessing the power of cutting-edge <b>Generative AI </b>. We aim to build scalable, serverless, and intelligent applications that seamlessly integrate into Valeo&rsquo;s workflow.
</p><h3 class="jobSectionHeader"><b>Mission
</b></h3><p><b>As a </b><b>Senior AI Data Engineer </b>, you will bridge the gap between raw enterprise data and our Generative AI ecosystem. You will architect the &quot;nervous system&quot; of our AI models, ensuring our LLMs have access to high-quality, real-time, and contextually relevant data to power the next generation of Valeo&rsquo;s Software Defined Vehicle (SDV) tools and internal processes.
</p><h3 class="jobSectionHeader"><b>Key Responsibilities
</b></h3><ul><li><p><b>Advanced RAG Architecture: </b>Design and implement end-to-end pipelines for Retrieval-Augmented Generation (RAG), including advanced retrieval techniques, Graph RAG, Agentic RAG, and multimodal RAG.
</p></li><li><p><b>Vector Database Management: </b>Architect and optimize vector stores (e.g., Qdrant, Pinecone) to handle high-dimensional embeddings and ensure low-latency similarity searches.
</p></li><li><p><b>Data Connectivity: </b>Design, develop, and maintain secure data connectors to pull information from various external tools, SaaS platforms, and internal databases.
</p></li><li><p><b>Data Pre-processing for Gen-AI: </b>Develop cleaning and normalization workflows specifically for unstructured data (PDFs, HTML, Markdown) to ensure optimal LLM performance.
</p></li><li><p><b>Orchestration: </b>Use tools like LangChain, LlamaIndex, or Haystack to orchestrate complex data flows between storage, embedding models, and LLM endpoints.
</p></li><li><p><b>Monitoring &amp; Evaluation: </b>Implement &quot;RAG-as-a-service&quot; monitoring to track retrieval quality (faithfulness, relevancy) and data drift in production.
</p></li></ul><h3 class="jobSectionHeader"><b>Candidate Profile
</b></h3><ul><li><p><b>Education: </b>B.Sc. or M.Sc. in Computer Science, Data Engineering, or a related field.
</p></li><li><p><b>Experience: </b>5+ years in Data Engineering with a recent focus on AI/ML pipelines.
</p></li><li><p><b>Technical Skills:
</b></p><ul><li><p><b>Languages: </b>Expert proficiency in <b>Python </b>and SQL; knowledge of Java or Go is a plus.
</p></li><li><p><b>Data Tools: </b>Experience with Spark, Kafka, Airflow/Prefect, and dbt.
</p></li><li><p><b>AI Frameworks: </b>Hands-on experience with LangChain, LlamaIndex, OpenAI API, Hugging Face, MCP, A2A, and ADK.
</p></li><li><p><b>Vector DBs: </b>Proficiency with Qdrant, Pinecone, Chroma, Weaviate, or pgvector.
</p></li><li><p><b>Cloud/DevOps: </b>Knowledge of GCP/AWS, Docker, and Kubernetes.
</p></li></ul></li><li><p><b>Preferred: </b>Deep understanding of embedding models, chunking strategies, and unstructured data extraction tools (e.g., Unstructured.io, PyMuPDF).
</p></li></ul><p><b>Job:
</b></p>R&amp;D Engineer
<p><b>Organization:
</b></p>Software Development
<p><b>Schedule:
</b></p>Full time
<p><b>Employee Status:
</b></p>Regular
<p><b>Job Type:
</b></p><p><b>Job Posting Date:
</b></p>2026-01-26
<div><i>Join Us !
</i><br>
<i>Being part of our team, you will join:
</i><br>
<ul><li><i>one of the largest global innovative companies, with more than 20,000 engineers working in Research &amp; Development
</i></li><li><i>a multi-cultural environment that values diversity and international collaboration
</i></li><li><i>more than 100,000 colleagues in 31 countries... which make a lot of opportunity for career growth
</i></li><li><i>a business highly committed to limiting the environmental impact if its activities and ranked by Corporate Knights as the number one company in the automotive sector in terms of sustainable development
</i></li></ul><br>
<i>More information on Valeo: </i><i>https://www.valeo.com</i></div></div>

Senior AI Data Engineer, AI4ALL

Manpower Egypt

<div>
 <p>
  For a very well-known multinational company located in Cairo, Egypt, a Data Center Engineer is needed.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Tasks and Duties
  </strong>
 </p>
 <ul>
  <li>
   <strong>
    Design and Architecture:
   </strong>
   Design and develop systems and networks to optimize data center operations and physical infrastructure.
  </li>
  <li>
   <strong>
    Installation and Maintenance:
   </strong>
   Supervise and perform installation, configuration, testing, and maintenance of server hardware, network equipment (Servers, SAN Storage, SAN Switches, Tape Library, VCenter, AD, etc), and other related IT infrastructure.
  </li>
  <li>
   <strong>
    Monitoring and Troubleshooting:
   </strong>
   Monitor system performance, diagnose complex hardware/software problems, and provide support to resolve incidents quickly.
  </li>
  <li>
   <strong>
    Capacity Planning and Optimization:
   </strong>
   Conduct capacity planning for power, cooling, space, and networking resources to ensure optimal usage and prevent bottlenecks.
  </li>
  <li>
   <strong>
    Process and Documentation:
   </strong>
   Develop, document, and maintain operational procedures, system configurations, and knowledge base articles, ensuring all processes are followed and documented accurately.
  </li>
  <li>
   <strong>
    Disaster Recovery and Business Continuity:
   </strong>
   Develop, implement, and test disaster recovery and backup solutions to ensure business continuity.
  </li>
  <li>
   <strong>
    Collaboration and Vendor Management:
   </strong>
   Collaborate with cross-functional teams (e.g., data scientists, cloud architects, facilities management) and liaise with third-party vendors for equipment and services
  </li>
 </ul>
 <p>
  <strong>
   Qualifications
  </strong>
 </p>
 <ul>
  <li>
   Extensive practical experience in data center operations and infrastructure management (typically 4+ years in a data engineering or data center role).
  </li>
  <li>
   In-depth understanding of data center technologies, including networking (TCP/IP, switching/routing protocols), storage (SAN, NAS), compute, and virtualization (VMware ESXi, Hyper-V).
  </li>
  <li>
   Proficiency in server operating systems, such as Windows and Linux.
  </li>
  <li>
   Knowledge of physical infrastructure including power and cooling systems, racks, and cabling standards.
  </li>
  <li>
   Familiarity with data center monitoring and management tools (DCIM, etc.).
  </li>
  <li>
   Strong analytical and problem-solving skills to quickly diagnose and resolve complex issues.
  </li>
 </ul>
 <p>
  <strong>
   Comen skills for all profiles
  </strong>
 </p>
 <ul>
  <li>
   Excellent communication and interpersonal skills for effective collaboration with technical and non-technical stakeholders.
  </li>
  <li>
   Leadership and project management skills to oversee projects and guide junior engineers.
  </li>
  <li>
   Detail-oriented approach and strong attention to following strict procedures and safety protocols.
  </li>
  <li>
   Adaptability and a continuous learning mindset to stay current with rapidly evolving technology.
  </li>
  <li>
   Ability to work under pressure and potentially on-call for critical incidents in a 24/7 environment.
  </li>
 </ul>
 <p>
 </p>
</div>


Data Center Engineer

Deloitte

<div><div><div><b>Location
</b></div><p>Cairo, Egypt Delivery Center
</p></div><div><div><p><b>Deloitte Innovation Hub I AI &amp; Data Engineer, Cairo, Egypt</b></p><p><b>
Deloitte</b><b>, </b>established globally in 1845, is the world&rsquo;s largest and leading professional services firm, providing Audit &amp; Assurance, Tax &amp; Legal and Consulting and related services to public and private clients spanning multiple industries. Present in more than 150 countries, Deloitte is distinct in its ability to help clients solve their most complex problems, from strategy to implementation.</p><p>
Deloitte innovation hub (DIH) is a strategic initiative/priority established by Deloitte North &amp; South Europe (NSE) to support our ambition to become the leading business transformation partner of choice for our clients and to expand and scale our delivery footprint across EMEA. With access to a scaled, diverse, highly skilled, motivated, and engaged workforce, DIH is delivering complex technical solutions for clients&rsquo; most complex business problems, across Portfolios that include &lsquo;Strategy &amp; Transactions&rsquo;, &lsquo;Customer&rsquo;, &lsquo;Engineering, AI &amp; Data, &lsquo;Enterprise, Technology &amp; Performance&rsquo; and &lsquo;Cyber&rsquo;. DIH is aiming to become the destination for top talents in Egypt for a long, exciting career.</p><p>
We invest in outstanding people of diverse talents and backgrounds and empower them to achieve more than they could elsewhere. Our work combines advice with action and integrity. We believe that when our clients and society are stronger, so are we. Our organization has grown in scale and diversity, providing services across the region, with our shared culture remaining the same. We aim to help clients realize their ambitions, make a positive difference in society, and maximize the success of our people. This drive fuels the commitment and humanity that run deep through our every action.</p><p><b>
Connect to your career at Deloitte</b></p><p>
Deloitte drives progress. Using our vast range of expertise, that covers audit, risk advisory, and consulting services across tax, legal, business, technology, and corporate finance, we help our clients&rsquo; become leaders wherever they choose to compete. To do this, we invest in outstanding people. We build teams of future thinkers, with diverse talents and backgrounds, and empower them all to reach for and achieve more.</p><p>
What brings us all together at Deloitte? It&rsquo;s how we approach the thousands of decisions we make every day. How we behave, our beliefs and our attitudes. In other words: our values. Whatever we do, wherever we are in the world, <b>we lead the way, serve with integrity, take care of each other, foster inclusion, and collaborate for measurable impact.</b> These five shared values lead every decision we make and action we take, guiding us to deliver impact how and where it matters most.</p><p><b>
Connect to your opportunity</b></p><p>
We are looking for candidates that have a variety of experience across the following areas</p><ul><li>
Conduct data analysis to identify insights and trends.</li><li>
Develop and deploy machine learning models.</li><li>
Collaborate with data engineers to ensure data availability and quality.</li><li>
Provide recommendations for AI strategy and implementation.</li><li>
Stay updated on the latest AI and data science developments.</li><li>
Assist clients in understanding and interpreting AI and data-driven insights.</li><li>
Troubleshoot and debug AI algorithms as needed.</li><li>
Document and communicate project progress and results to clients.</li></ul><p><b>
Connect to your skills and professional experience</b></p><ul><li><b>
Education:</b> A bachelor's or higher degree in a relevant field such as computer science, data science, or machine learning.</li><li><b>
Experience:</b></li><ul><li>
Significant experience in data analysis, data science, and machine learning.</li><li>
Proficiency in programming languages like Python and R.</li><li>
Experience with data visualization tools (e.g., Tableau, Power BI).</li><li>
Strong understanding of statistical concepts and modelling techniques.</li><li>
Familiarity with data pre-processing and cleaning.</li><li>
Knowledge of popular machine learning frameworks (e.g., TensorFlow, PyTorch).</li><li>
Experience deploying machine learning models in production.</li><li>
Certifications: Relevant certifications like AWS Machine Learning, Google Cloud AI, or Microsoft Certified: Azure AI Engineer can be beneficial.</li></ul></ul><p><b>
Connect to your service line &ndash; Technology and Transformation</b></p><p>
Distinctive thinking, deep expertise, and collaborative working. That&rsquo;s what connects us. That&rsquo;s what makes us Deloitte. If you want to help solve some of the biggest challenges around, join us. Together, we&rsquo;ll make an impact that matters.</p><p><b>
Personal independence</b></p><p>
Regulation and controls are standard practice in our industry and Deloitte is no exception. These controls provide important legal protection for both you and the firm. We are subject to several audit regulations, one of which requires that certain colleagues abide by specific personal independence constraints. This can mean that you and your &quot;Immediate Family Members&quot; are not permitted to hold certain financial interests (shares, funds, bonds etc.) with audit clients of the firm. The recruitment team will provide further detail as you progress through the recruitment process.</p><p><b>
Connect to your Industry</b></p><p>
&ldquo;What attracted me to Deloitte were the endless opportunities and the collective experience of other like-minded individuals. Deloitte&rsquo;s clients include many of the world&rsquo;s largest organisations; I wanted to be part of a team that made a difference that I could be proud of.&rdquo;</p><ul><li>Dan, Technology &amp; Transformation</li></ul><p><b>
Connect with your colleagues</b></p><p>
Location: Cairo. Egypt</p><p>
Your Work, Your Way: We call our hybrid working vision Deloitte Works. And it does. We trust you to make the right choices around where, when, and how you work. You&rsquo;ll be able to make decisions about how you work best, to be collaborative, learn from colleagues, share your experiences, build the relationships that will fuel your career and prioritise your wellbeing. Having great conversations with your team and your leadership paves the way for great collaborative ways of working.</p><p><b>
Connect to your agile working options</b></p><p>
Your Work, Your Way: We call our hybrid working vision Deloitte Works. And it does. We trust you to make the right choices around where, when, and how you work. You&rsquo;ll be able to make decisions about how you work best, to be collaborative, learn from colleagues, share your experiences, build the relationships that will fuel your career and prioritise your wellbeing. Having great conversations with your team and your leadership paves the way for great collaborative ways of working</p><p><b>
Our commitment to you</b></p><p>
Making an impact is more than just what we do: it&rsquo;s why we&rsquo;re here. So we work hard to create an environment where you can experience a purpose you believe in, the freedom to be you, and the capacity to go further than ever before.</p><p>
We want you. The true you. Your own strengths, perspective, and personality. So, we&rsquo;re nurturing a culture where everyone belongs, feels supported and heard, and is empowered to make a valuable, personal contribution. You can be sure we&rsquo;ll take your wellbeing seriously, too. Because it&rsquo;s only when you&rsquo;re comfortable and at your best that you can make the kind of impact you, and we, live for.</p><p>
Your expertise is our capability, so we&rsquo;ll make sure it never stops growing. Whether it&rsquo;s from the complex work you do, or the people you collaborate with, you&rsquo;ll learn every day. Through world-class development, you&rsquo;ll gain invaluable technical and personal skills. Whatever your level, you&rsquo;ll learn how to lead.</p><p><b>
Connect to your next step</b></p><p>
A career at Deloitte is an opportunity to develop in any direction you choose. Join us and you&rsquo;ll experience a purpose you can believe in and an impact you can see. You&rsquo;ll be free to bring your true self to work every day. And you&rsquo;ll never stop growing, whatever your level.</p><p></p><p><br>
Scan the QR code or click on the below link to complete your assessment and then click on apply!</p><b>
Assessment Link</b><div></div><div><div><p><br>
#LI-DNI</p></div></div></div></div></div><p></p>

Deloitte Innovation Hub I RiseUp Summit 2026 I AI & Data Engineer, Cairo, Egypt

Explore 1344+ Data engineer in Egypt this February. Find roles across top companies and apply now to boost your career.

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Deloitte Innovation Hub I RiseUp Summit 2026 I AI & Data Engineer, Cairo, Egypt