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data scientist

data scientist / senior machine learning engineer Jobs in House Logistics Coordinator Jobs In Egypt Jobs In Egypt Jobs In Egypt Jobs In Egypt Jobs In Cairo Egypt

data scientist / senior machine learning engineer

data engineer

Halan - حالا

<div>
 
 Job Overview:
 
 
 We are seeking a talented and motivated Senior Data Engineer with expertise in Scala and Python to join our data engineering team. This individual will play a key role in the design, development, and optimization of our data infrastructure and data pipelines. The ideal candidate has a passion for building scalable, high-performance systems and is eager to broaden their knowledge across the entire data engineering stack, from hardware infrastructure to project development.
 
 
 Key responsibilities:
 
 
 &bull; Collaborate with cross-functional teams to design, develop, and maintain data engineering solutions using Scala, Python, and Apache Spark.
 
 
 &bull; Implementation of new data engineering technologies, frameworks, and tools, such as HDFS, MongoDB, and PostgreSQL, to enhance performance, scalability, and efficiency.
 
 
 &bull; Understand and optimize hardware and resource consumption for data engineering projects.
 
 
 &bull; Develop a deep understanding of hardware infrastructure, including servers, clusters, and distributed systems, to ensure optimal data processing and storage.
 
 
 &bull; Design and architect high-performance, fault-tolerant, and scalable data pipelines.
 
 
 &bull; Conduct research and stay current with the latest advancements in data engineering, hardware technologies, and distributed computing paradigms.
 
 
 &bull; Mentor and guide junior team members, fostering a culture of continuous learning and skill development.
 
 
 &bull; Collaborate with stakeholders to gather requirements, propose technical solutions, and deliver high-quality data engineering projects.
 
 
 Requirements:
 
 
 &bull; 2-3 years of professional experience as a Software Engineer, with a focus on data engineering.
 
 
 &bull; Keen interest in hardware infrastructure, resource consumption optimization, and data engineering project development.
 
 
 &bull; Proven ability to work effectively in an Agile development environment and manage multiple priorities.
 
 
 &bull; Strong problem-solving, analytical thinking, communication, and collaboration skills.
 
</div>

Data Engineer

DXC Technology

<div>
 
 
 Job Title: Informatica IDMC Platform Administrator
 
 
 
 
 
 
 
 Location:
 
 Egypt
 
 
 
 
 
 
 
 
 
 
 Role Overview:
 
 
 
 We are seeking an experienced
 
 Data Engineer with Informatica IDMC Platform Administration expertise
 
 to join our data platform team.
 
 
 This role combines strong
 
 hands-on data engineering
 
 skills with the ability to
 
 administer, configure, and optimize
 
 the
 
 Informatica Intelligent Data Management Cloud (IDMC / IICS)
 
 environment.
 
 
 You will design and maintain robust, scalable data pipelines while ensuring the
 
 stability, security, and performance
 
 of our Informatica Cloud platform. The role involves close collaboration with data architects, business analysts, and infrastructure teams to deliver high-quality data solutions supporting analytics, integration, and governance initiatives.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 
 
 Data Engineering:
 
 
 <ul>
 <li>
 Design, build, and maintain
 
 data integration pipelines
 
 using Informatica IDMC (IICS) and other ETL tools.
 </li>
 <li>
 Develop data ingestion and transformation processes from
 
 varied data sources
 
 (on-premises and cloud: Azure, AWS, SQL Server, Snowflake, etc.).
 </li>
 <li>
 Optimize and monitor data flows for
 
 performance, scalability, and reliability
 
 .
 </li>
 <li>
 Implement
 
 data quality, cleansing, and validation
 
 routines.
 </li>
 <li>
 Collaborate with data scientists, analysts, and BI developers to enable efficient data consumption.
 </li>
 <li>
 Document ETL logic, data mappings, and transformation rules.
 </li>
 </ul>
 
 
 Platform Administration:
 
 
 <ul>
 <li>
 Administer and manage the
 
 Informatica IDMC platform
 
 , including
 
 Secure Agents, runtime environments, and user access
 
 .
 </li>
 <li>
 Manage
 
 system upgrades, patching, and configuration
 
 .
 </li>
 <li>
 Oversee
 
 environment management
 
 (Dev, Test, Prod),
 
 asset migration
 
 , and
 
 deployment processes
 
 .
 </li>
 <li>
 Ensure
 
 platform connectivity
 
 with various cloud and on-prem systems through secure channels (VPN, proxies, etc.).
 </li>
 <li>
 Monitor performance and troubleshoot runtime or connectivity issues.
 </li>
 <li>
 Implement
 
 governance standards, backup, and recovery procedures
 
 .
 </li>
 <li>
 Collaborate with Informatica Support for platform-related issues or incidents.
 </li>
 </ul>
 
 
 
 
 
 Required Skills and Experience:
 
 
 <ul>
 <li>
 
 5+ years
 
 of experience as a Data Engineer or ETL Developer.
 </li>
 <li>
 
 2+ years
 
 of experience administering
 
 Informatica IDMC (IICS)
 
 or similar Informatica Cloud platforms.
 </li>
 <li>
 Strong proficiency in
 
 SQL
 
 and data modeling concepts.
 </li>
 <li>
 Hands-on experience with
 
 data integration, transformation, and migration
 
 .
 </li>
 <li>
 Experience connecting Informatica to
 
 cloud platforms
 
 (Azure, AWS, or GCP).
 </li>
 <li>
 Familiarity with
 
 Secure Agent setup
 
 ,
 
 user and role management
 
 , and
 
 API integration
 
 .
 </li>
 <li>
 Working knowledge of
 
 Git / CI-CD pipelines
 
 for data deployment automation.
 </li>
 <li>
 Strong understanding of
 
 data security and governance principles
 
 .
 </li>
 </ul>
 
 
 
 
 
 Preferred Qualifications:
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in
 
 Computer Science, Information Systems, or related field
 
 .
 </li>
 <li>
 
 Informatica Certified Professional
 
 (IICS / IDMC Administrator or Data Integration Specialist).
 </li>
 <li>
 
 Microsoft Azure Data Engineer Associate
 
 or equivalent certification.
 </li>
 <li>
 Familiarity with
 
 Snowflake, Databricks, or Synapse Analytics
 
 .
 </li>
 <li>
 Experience with
 
 Python, PowerShell, or REST APIs
 
 for automation and orchestration.
 </li>
 <li>
 Exposure to
 
 Data Quality (IDQ), Data Governance, or MDM
 
 modules.
 </li>
 </ul>
 
 
 
 
 
 Soft Skills:
 
 
 <ul>
 <li>
 Strong analytical and problem-solving skills.
 </li>
 <li>
 Excellent communication and documentation abilities.
 </li>
 <li>
 Proactive, self-motivated, and comfortable working independently or in global teams.
 </li>
 <li>
 Ability to manage multiple priorities in a fast-paced, agile environment.
 </li>
 <li>
 Collaboration mindset &mdash; works well with business, IT, and operations stakeholders.
 </li>
 </ul>
 
 
</div>

Servier Egypt

<div>
 Date posted: Oct 16, 2025
 
 
 City: Cairo
 
 
 Country/Region: EG
 
 
 Type of Contract: Full-time Employment / Unlimited
 
 
 Job Requisition ID: 10146
 
 
 Data engineer
 
 
 
 About The Role
 
 
 
 The IS Developer- Data Engineer will be responsible for analyzing user needs to conceive, develop or improve computer programs. They are accountable for software maintenance and development as needed alongside project documentation and testing.
 
 
 
 Core Responsibilities
 
 
 
 <ul>
 <li>
 Analyze software and data to identify and solve issues.
 </li>
 <li>
 Participate in meetings to determine software requirements.
 </li>
 <li>
 Conduct software demonstrations and training.
 </li>
 <li>
 Debug and fix software defects.
 </li>
 <li>
 Develop new or modify existing software.
 </li>
 <li>
 Update project documentation and report time.
 </li>
 <li>
 Provide project updates.
 </li>
 <li>
 Test software and participate in code reviews.
 
 
 </li>
 </ul>
 
 Experience &amp; Qualification
 
 
 
 <ul>
 <li>
 Bachelor's degree in computer science or related field.
 </li>
 <li>
 1-2 years of software development experience.
 </li>
 <li>
 Proficiency in C#, HTML, CSS, JavaScript, and MS SQL.
 </li>
 <li>
 Technical documentation skills.
 </li>
 <li>
 Strong problem-solving abilities.
 </li>
 <li>
 Knowledge of software development life cycle.
 </li>
 <li>
 Excellent communication skills.
 </li>
 <li>
 Ability to work independently and in teams.
 </li>
 <li>
 Proficiency in English.
 </li>
 <li>
 Attention to detail and adaptability.
 
 
 </li>
 </ul>
 
 Job Description
 
 
 
 Candidate Profile
 
 
 Whatever your area of expertise, your work within the Servier Group helps advance therapeutic progress for the benefit of patients. You will be part of teams recognised for their scientific excellence and reach your full potential in a professional environment that encourages you to develop yourself. Tailor-made onboarding journeys, mobility opportunities, quality trainings, responsible management, team spirit... All this and more in a workplace focused on your well-being.
 
 
 At Servier, we are committed to therapeutic progress to serve patient needs. We put the diversity of our employees as a source of richness for the fulfillment of this vocation.
</div>

Data engineer

SSC HR Solutions

<div>
 About Company :
 
 
 global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2024 global revenues of &euro;22.1 billion.
 
 
 Job Description:
 
 
 As a Data Streaming Engineer, you will be building and maintaining robust, scalable Kubernetes-based event streaming platforms. You will play a pivotal role in ensuring the reliability and efficiency of our production and development environments, enabling smooth deployments and accurate event reporting.
 
 
 Key Responsibilities:
 
 
 Kubernetes Infrastructure Management:
 
 
 <ul>
 <li>
 Design, provision, and maintain Kubernetes clusters across various environments (cloud, on-premises, hybrid)
 </li>
 <li>
 Monitor cluster performance and optimize resource utilization
 </li>
 <li>
 Troubleshoot issues and implement solutions to ensure high availability and stability
 
 
 </li>
 </ul>
 Splunk Operations &amp; Engineering:
 
 
 <ul>
 <li>
 Manage Splunk infrastructure including indexers, search heads
 </li>
 <li>
 Troubleshoot ingestion issues, latency, and indexing delays across distributed environments
 </li>
 <li>
 Develop and maintain SPL queries, saved searches, alerts, and dashboards
 </li>
 <li>
 Perform capacity planning, performance tuning, and upgrade planning for Splunk components
 </li>
 <li>
 Implement data onboarding strategies and field extractions for new log sources
 
 
 </li>
 </ul>
 Cribl Pipeline Management:
 
 
 <ul>
 <li>
 you Cribl experience is advantageous but not required
 </li>
 <li>
 Design, build, and optimize Cribl pipelines for log routing, transformation, filtering, and enrichment
 </li>
 <li>
 Integrate Cribl with various data sources and destinations
 </li>
 <li>
 Automate pipeline deployments and configuration using CI/CD and GitOps practices
 
 
 </li>
 </ul>
 Production Support:
 
 
 <ul>
 <li>
 Participate in incident response and resolution, ensuring minimal downtime and disruption to services
 </li>
 <li>
 Continuously analyze and improve the performance, reliability, and security of production environments
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 Qualifications:
 
 
 <ul>
 <li>
 Bachelor's degree in Engineering, Computer Science, Information Technology, or a related field
 </li>
 <li>
 Minimum of 5 years of professional experience
 </li>
 <li>
 Outstanding English communication, both verbal and non-verbal
 </li>
 <li>
 Strong Kubernetes Expertise: Deep understanding of Kubernetes architecture, concepts, and best practices. Hands-on experience with deploying and managing Kubernetes clusters at scale
 </li>
 <li>
 Splunk or ELK Familiarity: Experience working with log data platforms such as Splunk and ELK, including organizing, interpreting, and preparing data for analysis. Familiarity with tools and processes used to manage and streamline data flows across systems
 </li>
 <li>
 GitLab Familiarity: Understanding of GitLab CI/CD features and capabilities. Ability to write efficient and maintainable pipeline scripts
 </li>
 <li>
 Cloud Infrastructure Knowledge: Experience with cloud platforms (AWS, Azure, GCP) and cloud-native technologies
 </li>
 <li>
 Troubleshooting and Problem-Solving: Ability to analyze complex problems, diagnose root causes, and implement effective solutions
 </li>
 <li>
 Collaboration and Communication: Strong communication and interpersonal skills, able to collaborate effectively with cross-functional teams
 
 
 </li>
 </ul>
 The following details apply to the positions:
 
 
 
 Work Model:
 
 
 
 <ul>
 <li>
 All positions will follow a hybrid work model: 3 days from the office (CFC) and 2 days from home
 </li>
 <li>
 Work schedule is Monday to Friday
 
 
 </li>
 </ul>
 you must be willing to travel twice a year for short-term periods
 
 
 Qualifications:
 
 
 <ul>
 <li>
 Bachelor's degree in Engineering, Computer Science, Information Technology, or a related field
 </li>
 <li>
 Minimum of 5 years of professional experience
 </li>
 <li>
 Outstanding English communication, both verbal and non-verbal
 </li>
 <li>
 Strong Kubernetes Expertise: Deep understanding of Kubernetes architecture, concepts, and best practices. Hands-on experience with deploying and managing Kubernetes clusters at scale
 </li>
 <li>
 Splunk or ELK Familiarity: Experience working with log data platforms such as Splunk and ELK, including organizing, interpreting, and preparing data for analysis. Familiarity with tools and processes used to manage and streamline data flows across systems
 </li>
 <li>
 GitLab Familiarity: Understanding of GitLab CI/CD features and capabilities. Ability to write efficient and maintainable pipeline scripts
 </li>
 <li>
 Cloud Infrastructure Knowledge: Experience with cloud platforms (AWS, Azure, GCP) and cloud-native technologies
 </li>
 <li>
 Troubleshooting and Problem-Solving: Ability to analyze complex problems, diagnose root causes, and implement effective solutions
 </li>
 <li>
 Collaboration and Communication: Strong communication and interpersonal skills, able to collaborate effectively with cross-functional teams
 
 
 </li>
 </ul>
 The following details apply to the positions:
 
 
 
 Work Model:
 
 
 
 <ul>
 <li>
 hybrid work model: 3 days from the office (CFC) and 2 days from home
 </li>
 <li>
 Work schedule is Monday to Friday
 
 
 </li>
 </ul>
 you must be willing to travel twice a year for short-term periods
 
 
 
 Other Key Points:
 
 
 
 <ul>
 <li>
 Fluency in English: 90% of all roles involve global interviews, so it is essential that you can communicate fluently in English and have a clear, understandable accent
 </li>
 <li>
 The company does not want Foreigners they need Egyptians
 </li>
 </ul>
</div>

Data Streaming Engineer

<div>
 
 
 Note: Only Egyptian citizens will be considered for this role.
 
 
 
 
 
 
 
 Role Overview:
 
 
 
 We are seeking an experienced
 
 Data Engineer with Informatica IDMC Platform Administration expertise
 
 to join our data platform team.
 
 
 This role combines strong
 
 hands-on data engineering
 
 skills with the ability to
 
 administer, configure, and optimize
 
 the
 
 Informatica Intelligent Data Management Cloud (IDMC / IICS)
 
 environment.
 
 
 You will design and maintain robust, scalable data pipelines while ensuring the
 
 stability, security, and performance
 
 of our Informatica Cloud platform. The role involves close collaboration with data architects, business analysts, and infrastructure teams to deliver high-quality data solutions supporting analytics, integration, and governance initiatives.
 
 
 
 
 
 Key Responsibilities:
 
 
 
 
 Data Engineering:
 
 
 <ul>
 <li>
 Design, build, and maintain
 
 data integration pipelines
 
 using Informatica IDMC (IICS) and other ETL tools.
 </li>
 <li>
 Develop data ingestion and transformation processes from
 
 varied data sources
 
 (on-premises and cloud: Azure, AWS, SQL Server, Snowflake, etc.).
 </li>
 <li>
 Optimize and monitor data flows for
 
 performance, scalability, and reliability
 
 .
 </li>
 <li>
 Implement
 
 data quality, cleansing, and validation
 
 routines.
 </li>
 <li>
 Collaborate with data scientists, analysts, and BI developers to enable efficient data consumption.
 </li>
 <li>
 Document ETL logic, data mappings, and transformation rules.
 </li>
 </ul>
 
 
 Platform Administration:
 
 
 <ul>
 <li>
 Administer and manage the
 
 Informatica IDMC platform
 
 , including
 
 Secure Agents, runtime environments, and user access
 
 .
 </li>
 <li>
 Manage
 
 system upgrades, patching, and configuration
 
 .
 </li>
 <li>
 Oversee
 
 environment management
 
 (Dev, Test, Prod),
 
 asset migration
 
 , and
 
 deployment processes
 
 .
 </li>
 <li>
 Ensure
 
 platform connectivity
 
 with various cloud and on-prem systems through secure channels (VPN, proxies, etc.).
 </li>
 <li>
 Monitor performance and troubleshoot runtime or connectivity issues.
 </li>
 <li>
 Implement
 
 governance standards, backup, and recovery procedures
 
 .
 </li>
 <li>
 Collaborate with Informatica Support for platform-related issues or incidents.
 </li>
 </ul>
 
 
 
 
 Required Skills and Experience:
 
 
 <ul>
 <li>
 
 5+ years
 
 of experience as a Data Engineer or ETL Developer.
 </li>
 <li>
 
 2+ years
 
 of experience administering
 
 Informatica IDMC (IICS)
 
 or similar Informatica Cloud platforms.
 </li>
 <li>
 Strong proficiency in
 
 SQL
 
 and data modeling concepts.
 </li>
 <li>
 Hands-on experience with
 
 data integration, transformation, and migration
 
 .
 </li>
 <li>
 Experience connecting Informatica to
 
 cloud platforms
 
 (Azure, AWS, or GCP).
 </li>
 <li>
 Familiarity with
 
 Secure Agent setup
 
 ,
 
 user and role management
 
 , and
 
 API integration
 
 .
 </li>
 <li>
 Working knowledge of
 
 Git / CI-CD pipelines
 
 for data deployment automation.
 </li>
 <li>
 Strong understanding of
 
 data security and governance principles
 
 .
 </li>
 </ul>
 
 
 
 
 Preferred Qualifications:
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in
 
 Computer Science, Information Systems, or related field
 
 .
 </li>
 <li>
 
 Informatica Certified Professional
 
 (IICS / IDMC Administrator or Data Integration Specialist).
 </li>
 <li>
 
 Microsoft Azure Data Engineer Associate
 
 or equivalent certification.
 </li>
 <li>
 Familiarity with
 
 Snowflake, Databricks, or Synapse Analytics
 
 .
 </li>
 <li>
 Experience with
 
 Python, PowerShell, or REST APIs
 
 for automation and orchestration.
 </li>
 <li>
 Exposure to
 
 Data Quality (IDQ), Data Governance, or MDM
 
 modules.
 </li>
 </ul>
 
 
 
 
 Soft Skills:
 
 
 <ul>
 <li>
 Strong analytical and problem-solving skills.
 </li>
 <li>
 Excellent communication and documentation abilities.
 </li>
 <li>
 Proactive, self-motivated, and comfortable working independently or in global teams.
 </li>
 <li>
 Ability to manage multiple priorities in a fast-paced, agile environment.
 </li>
 <li>
 Collaboration mindset &mdash; works well with business, IT, and operations stakeholders.
 </li>
 </ul>
 
 
 
 
 
 Note: Only Egyptian citizens will be considered for this role.
 
 
 
 
</div>

Informatica IDMC Platform Administrator

Deloitte

<div>
 
 Connect to your career at Deloitte
 
 
 
 
 Deloitte
 
 , 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.
 
 
 Deloitte innovation hub (DIH) is a strategic initiative 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.
 
 
 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.
 
 
 
 Connect to your career at Deloitte.
 
 
 
 
 Role
 
 
 
 We are seeking skilled data protection architects and engineers with expertise in Data Loss Prevention (DLP), data discovery, access governance, database monitoring, Cloud Access Security Broker (CASB), data classification, and rights management. The ideal candidate will have a background in designing, implementing, integrating, and operating data protection solutions to mitigate the risk of sensitive data loss for our clients. As part of this role, you will be expected to:
 
 
 <ul>
 <li>
 Define data protection use cases and technical specifications to safeguard data across its lifecycle, from creation to deletion, in both on-premises and cloud environments, using solutions such as DLP and CASB.
 </li>
 <li>
 Design and architect Data Protection solutions that align with business objectives and comply with industry cybersecurity standards (e.g., NIST).
 </li>
 <li>
 Create system architecture and data flow diagrams with technical descriptions of each component.
 </li>
 <li>
 Define the dependencies to implement the solution, such as network rules and server infrastructure.
 </li>
 <li>
 Integrate workflows with third-party systems and security tools, such as Security Information and Event Management (SIEM) solutions and cloud platforms like AWS and Azure.
 </li>
 <li>
 Configure and implement data discovery servers.
 </li>
 <li>
 Configure and implement security rules (e.g., DLP policies) to protect sensitive data.
 </li>
 <li>
 Work with IT infrastructure teams to ensure pre-requisites have been met.
 </li>
 <li>
 Configure and implement agents for database monitoring and DLP monitoring.
 </li>
 <li>
 Integrate Data Protection solutions with existing enterprise applications/systems using API connections.
 </li>
 <li>
 Configure custom reporting dashboards using tools such as PowerBI.
 </li>
 <li>
 Develop technical documentation for Data Protection implementations.
 </li>
 <li>
 Execute testing for Data Protection solutions and troubleshoot issues.
 
 
 </li>
 </ul>
 
 Connect to your opportunity.
 
 
 
 To succeed in this role, you will need the following skills:
 
 
 <ul>
 <li>
 1-3 years of hands-on experience in Cybersecurity with exposure on the Data Protection domain.
 </li>
 <li>
 Bachelor&rsquo;s or master&rsquo;s degree in information technology, Cybersecurity, computer science, or a related field.
 
 
 </li>
 </ul>
 Domain expertise in
 
 
 two
 
 
 to
 
 
 four
 
 
 of the following areas:
 
 
 <ul>
 <li>
 Data discovery, inventory, and classification solutions (e.g., Microsoft, BigID, Cyera).
 </li>
 <li>
 Data Loss Prevention (DLP) and Cloud Access Security Broker (CASB) (e.g., Microsoft, Netskope, Proofpoint, ZScaler).
 </li>
 <li>
 Database Activity Monitoring (DAM) (e.g., Imperva, IBM Guardium).
 </li>
 <li>
 Data Access Governance (e.g., Varonis).
 </li>
 <li>
 Information Rights Management (e.g., Microsoft, Seclore, Vera).
 </li>
 <li>
 Data Security Posture Management (DSPM) tools (e.g., Symmetry, Flow, Polar, Laminar).
 </li>
 <li>
 Systems administration experience with various operating systems (e.g., Windows Server, Unix, Linux).
 </li>
 <li>
 Database administrator (DBA) experience with database technologies (e.g., Oracle, Microsoft SQL).
 </li>
 <li>
 Ability to optimize data security operations including ruleset tuning, triaging, and reporting.
 
 
 </li>
 </ul>
 
 The Following Skills Are Also Preferred
 
 
 
 <ul>
 <li>
 Experience in secure configuration of container-based architectures (e.g., Kubernetes, Docker).
 </li>
 <li>
 Technical skills including scripting (Python/PowerShell) and coding frameworks.
 </li>
 <li>
 Security certifications and exposure to other security domains (e.g., Cloud).
 
 
 </li>
 </ul>
 
 Connect to your business &ndash; Technology &amp; Transformation
 
 
 
 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.
 
 
 
 Personal Independence
 
 
 
 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 "Immediate Family Members" 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.
 
 
 
 Connect with your colleagues.
 
 
 
 Location: Cairo, Egypt
 
 
 &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 organizations; I wanted to be part of a team that made a difference that I could be proud of.&rdquo; - Dan, Technology &amp; Transformation
 
 
 &ldquo;Everyone always says, &ldquo;it&rsquo;s the people,&rdquo; and that&rsquo;s true. Working for a brand you feel proud of feels pretty good too. And you don&rsquo;t have any stress about fitting into a particular stereotype, because there are so many different types of people in Deloitte Digital.&rdquo; &ndash; Gillian, Technology &amp; Transformation
 
 
 
 Our commitment to you
 
 
 
 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.
 
 
 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.
 
 
 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.
 
 
 
 Connect to your next step
 
 
 
 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.
 
 
</div>

Deloitte Innovation Hub I Cyber Security I Data Protection Engineer, Cairo, Egypt

Arrow Components

<div>
 
 Position
 
 
 
 Data Scientist / Senior Machine Learning Engineer
 
 
 
 Job Description
 
 
 
 
 Position Overview:
 
 
 
 As Data Scientist / Senior Machine Learning Engineer at Arrow Electronics, you will assume a pivotal role in driving our data science and machine learning initiatives to reach unprecedented heights. Collaborating closely with cross-functional multinational teams, your responsibilities will encompass the end-to-end machine learning lifecycle, including stakeholder communications, data analysis, designing, development, deployment, and optimization of cutting-edge models aimed at addressing intricate challenges and generating actionable insights. Your expertise in data analysis, model development, and deployment will be crucial in shaping the future of our company.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Machine Learning Model Development: Design, develop, and implement advanced machine learning models and algorithms to solve real-world problems in various domains.
 </li>
 <li>
 Data Analysis: Explore and analyze large datasets to extract meaningful insights and identify trends, anomalies, and patterns.
 </li>
 <li>
 Model Evaluation: Evaluate the performance of machine learning models using appropriate metrics and fine-tune models for optimal results.
 </li>
 <li>
 Deployment: Lead the deployment of machine learning models into production environments and ensure scalability and efficiency.
 </li>
 <li>
 Cross-functional Collaboration: Collaborate closely with business stakeholders, software engineers, data engineers, and domain experts to integrate machine learning solutions into our products and services.
 </li>
 <li>
 Mentorship: Provide guidance and mentorship to junior data scientists and machine learning engineers, fostering a culture of continuous learning and growth.
 </li>
 <li>
 Research and Innovation: Stay up-to-date with the latest advancements in the field of data science and machine learning and apply innovative techniques to solve complex challenges.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Proven experience (2 to 5 years) in developing and deploying machine learning models in a production environment.
 </li>
 <li>
 Proficiency in programming languages, especially Python, and experience with data-related libraries such as pandas, matplotlib, NumPy, etc.
 </li>
 <li>
 Strong knowledge of machine learning frameworks and libraries.
 </li>
 <li>
 Expertise in data preprocessing, feature engineering, and model selection.
 </li>
 <li>
 Familiarity with large language models and AI agent design.
 </li>
 <li>
 Experience with text-based NLP, information extraction, entity recognition, and text-related data science tasks is highly desirable.
 </li>
 <li>
 Strong communication skills and the ability to convey technical concepts to non-technical stakeholders.
 </li>
 <li>
 Experience with vectorized databases and unstructured search engines is a plus.
 </li>
 <li>
 A Master&rsquo;s degree in computer science, Statistics, Data Science, or a related field is a plus.
 </li>
 <li>
 Publications or contributions to open-source projects are a plus.
 
 
 </li>
 </ul>
 If you are a passionate and experienced Data Scientist / Senior Machine Learning Engineer who thrives on solving challenging problems and wants to make a significant impact in the field, we encourage you to apply and join our dynamic team at Arrow Electronics Together, we will drive innovation and shape the future of data science and machine learning.
 
 
 
 Location:
 
 
 
 EG-Cairo, Egypt (Al Emdad &amp; Al Tamween)
 
 
 
 Time Type
 
 
 
 Full time
 
 
 
 Job Category
 
 
 
 Information Technology
</div>

Data Scientist / Senior Machine Learning Engineer

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