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<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>We are seeking Associates and Senior Associates Atlassian Engineers to join our growing team. In this role, you will play a key part in designing, implementing, and supporting Atlassian solutions primarily Jira, Jira Service Management (JSM), and Confluence with a strong focus on ITSM implementations, automation, and cloud transformation. You will work closely with clients and internal stakeholders to deliver scalable, secure, and business aligned Atlassian solutions. The role sits within the Cloud Service Delivery function, based in Cairo, collaborating with delivery teams and client transformation programs across the PwC Global Network, including Germany UK and the Netherlands.</p><p>Key Responsibilities</p><p>As an Atlassian Engineer, you will:</p><ul><li>Design, implement, and support Atlassian Cloud and Data Center solutions, with a strong emphasis on Jira Service Management (ITSM) use cases</li><li>Lead and contribute to ITSM implementations in JSM, including incident, problem, change, request, and asset management</li><li>Configure and manage Jira projects and workflows</li><li>Manage and optimize Confluence spaces, templates, permissions, and knowledge base structures</li><li>Implement and maintain Assets / Insight (CMDB) configurations and integrations</li><li>Develop and maintain automations, scripts, and API based integrations with third party systems</li><li>Perform and support large scale cloud migrations for Jira and Confluence, including pre migration assessments and post migration optimization</li><li>Troubleshoot complex technical issues related to performance, security, integrations, and user experience</li><li>Support daily operational tickets and service requests, ensuring adherence to best practices and Atlassian standards</li><li>Collaborate closely with other engineers, developers, architects, and project managers across global teams</li><li>Contribute to continuous improvement, documentation, and knowledge sharing within the Atlassian practice</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><h2>Required Qualifications &amp; Experience</h2><ul><li>Bachelor s degree in Computer Science, Computer Engineering, or a related field</li><li>2+ years of experience in application technical support, Atlassian administration, or Atlassian development (additional experience expected for Senior Associates)</li><li>Strong hands on experience with Jira, Jira Service Management, and Confluence</li><li>Proven experience implementing ITSM solutions in JSM</li><li>Experience working with Assets / Insight, APIs, and advanced automations</li><li>Hands on experience with cloud migrations, including DC to Cloud and Cloud to Cloud</li><li>Experience with Atlassian REST APIs, Forge, and scripting/automation tools</li><li>Solid understanding of IT service management (ITIL concepts) and Agile methodologies</li><li>Strong communication, stakeholder management, and problem solving skills</li><li>Professional proficiency in English</li></ul><h2>Desirable Qualifications</h2><ul><li>Atlassian Certification, such as: ACP 620 (Managing Jira Cloud Projects) ACP 120 (Atlassian Certified Professional: Jira Administration for Cloud)</li><li>Experience working in large enterprise or global delivery environments</li><li>Exposure to enterprise integrations, reporting, and governance models</li><li>Experience with Atlassian Marketplace apps and plugin development</li></ul><p>At PwC, The skills we look for in future employees. All our people need to demonstrate the skills and behaviors that support us in delivering our business strategy. This is important to the work we do for our business, and our clients. These skills and behaviors make up our global leadership framework, The PwC Professional . The PwC Professional focuses on five core attributes; whole leadership, business acumen, technical and digital, global and inclusive, and relationships. We use this framework to recruit, develop and assess our people, at all grades and all areas of our business, because we expect all of our people to be leaders.</p><ul><li>Whole leadership : The ability to lead yourself and others to make a difference and create a positive impact in a responsible, authentic, resilient, inclusive and passionate manner.</li><li>Global acumen: The ability to operate and collaborate effectively with a mindset that transcends boundaries and embraces diverse perspectives.</li><li>Technical and Digital : Focus on fast growing technologies and how to make use of them towards digital transformation.</li><li>Business acumen: The ability to bring business knowledge, innovation and insight to create distinctive value for clients and PwC.</li><li>Relationships: The ability to build relationships of high value which are genuine and meaningful.</li></ul><p></p></section>

<p><h4>Join us</h4> <p>At Vodafone, we’re not just shaping the future of connectivity for our customers – we’re shaping the future for everyone who joins our team. When you work with us, you’re part of a global mission to connect people, solve complex challenges, and create a sustainable and more inclusive world. If you want to grow your career whilst finding the perfect balance between work and life, Vodafone offers the opportunities to help you belong and make a real impact.</p> <h4>Role profile</h4> <p>Design scalable and reliable solutions for promotional offers.<br> Manage day-by-day tasks in queue according to priorities set in sprint planning meetings.<br> Work closely with different commercial teams to deliver personalized customer offers.<br> Ensure on-time high quality deliverables for CVM platforms and segments propositions.<br> Plan releases and provide proper support to released packages.</p> <h4>Competencies and qualifications</h4> <p><strong>Passionate about quality.</strong> A love of writing bug-free code, tuning and analysis through a rigorous scientific approach.<br> <strong>Agile.</strong> Time spent working on closely-knit teams using Agile methodologies such as Scrum and Kanban.<br> <strong>Team player.</strong> You enjoy collaborating with, learning from, and teaching others so we all can become better. You assume the good intent in others, and actively do your part to create a positive work environment.<br> <strong>Empathy for customers.</strong> A desire to serve customers first. You love to help Vodafone’s customers to get them happy with your developed feature.</p> <p><strong>Must have technical / professional qualifications:</strong></p> <ul> <li>Bachelor's degree in computer science, computer engineering, other technical discipline, or equivalent work experience.</li> <li>0-4 years experience in application development using Java and Spring Boot framework.</li> <li>Excellent knowledge in SQL development and tuning.</li> <li>Fair knowledge in different programming and scripting languages.</li> </ul> <h4>Not a perfect fit?</h4> <p>Worried that you don’t meet all the desired criteria exactly? At Vodafone we are passionate about empowering people and creating a workplace where everyone can thrive, whatever their personal or professional background. If you’re excited about this role but your experience doesn’t align exactly with every part of the job description, we encourage you to still apply as you may be the right candidate for this role or another opportunity.</p> <h4>Who we are</h4> <p>We are a leading international telco, serving millions of customers. At Vodafone, we believe that connectivity is a force for good. If we use it for the things that really matter, it can improve people's lives and the world around us. Through our technology we empower people, connecting everyone regardless of who they are or where they live and we protect the planet, whilst helping our customers do the same.</p> <p>Belonging at Vodafone isn't a concept; it's lived, breathed, and cultivated through everything we do. You'll be part of a global and diverse community, with many different minds, abilities, backgrounds and cultures. We're committed to increase diversity, ensure equal representation, and make Vodafone a place everyone feels safe, valued and included.</p> <p>Together we can.</p></p><p></p>

<p><h4>Who we are</h4> <p><strong>VOIS (Vodafone Intelligent Solutions)</strong> is a strategic arm of Vodafone Group Plc, creating value for customers by delivering intelligent solutions through talent, technology & transformation.</p> <p>As the largest shared services organisation in the global telco industry with 30,000 FTE, our portfolio of next-generation solutions and services are designed in partnership with customers across Vodafone Group, local markets, and partner markets to simplify and drive growth. With our strategic partner Accenture, we work alongside our Vodafone customers, other telco and tech companies to drive transformation, meet the challenges of our industry and ensure we stay relevant and resilient. This partnership is a unique, industry-first model which brings together the best of in-house and third-party capability.</p> <p>We work with customers across 28 countries from 10 VOIS locations: Albania, Egypt, Hungary, India, Romania, Spain, Turkey, UK, Germany, Ireland, and with a network of teams in Czech Republic, Italy, Greece, and Portugal.</p> <h4>About this role</h4> <h4>What you’ll do</h4> <h4>Who you are</h4> <h4>Not a perfect fit?</h4> <p>Concerned you may not meet every requirement? Vodafone is committed to creating an inclusive workplace where everyone can thrive. If you are excited about this role but your experience does not align exactly with every aspect of the job description, you are encouraged to apply. You may be the right candidate for this or another opportunity, and the recruitment team will support you in exploring where your skills fit best.</p> <h4>What's in it for you</h4> <h4>What skills you will learn</h4> <h4>VOIS equal opportunity employer commitment</h4> <p>Vodafone recognises and celebrates the value of diversity in building a workforce that reflects the customers and communities it serves. No form of discrimination is tolerated. This includes, but is not limited to, discrimination based on race, colour, age, veteran status, gender identity, gender expression, sexual orientation, pregnancy, maternity or parental status, ethnicity, disability, religion or belief, political affiliation, trade union membership, nationality, citizenship, indigenous status, medical condition, HIV status, neurodiversity, social origin, cultural background, marital or civil partnership status, or socio-economic background.</p> <h4>Join us</h4> <p>At Vodafone, we’re working hard to build a better future. A more connected, inclusive and sustainable world. As a dynamic global community, it's our human spirit, together with technology, that empowers us to achieve this.</p> <p>We challenge and innovate in order to connect people, businesses, and communities across the world. Delighting our customers and earning their loyalty drive us, and we experiment, learn fast and get it done, together.</p> <p>With us, you can truly be yourself and belong, share inspiration, embrace new opportunities, thrive, and make a real difference.</p> <h4>Alert</h4> <p>Apply for Vodafone jobs only through the official Vodafone Careers website to avoid job scams and fraud.</p></p><p></p>

<p><strong>About the Role:</strong><br>We are seeking a detail-oriented and proactive <strong>Master Data Management Specialist</strong> to join our Supply Chain team. This role will be responsible for managing, validating, and maintaining accurate master data within our ERP system, ensuring data integrity across the organization and supporting ERP implementation and upgrades.</p><p>&nbsp;</p><p><strong>Key Responsibilities:</strong></p><ul><li><p>Implement and maintain company-wide item coding structures in alignment with ERP and business rules.</p></li><li><p>Lead and coordinate with all departments to complete ERP master data templates (items, suppliers, customers, BOMs where applicable).</p></li><li><p>Validate all submitted templates for accuracy, completeness, and compliance with coding standards.</p></li><li><p>Perform regular data cleansing and ensure non-duplication of data using validation rules and logic.</p></li><li><p>Maintain and update ERP master data including:</p><ul><li><p>Supplier Register</p></li><li><p>Customer Master</p></li><li><p>Item Master List</p></li><li><p>Other master data domains as required</p></li></ul></li><li><p>Control master data change requests and approvals according to the authority matrix.</p></li><li><p>Support ERP implementation and upgrades from a data perspective.</p></li><li><p>Coordinate with the IT ERP team on master data structure and migration.</p></li><li><p>Train end-users on data entry guidelines and standards.</p></li><li><p>Ensure compliance with internal controls and audit requirements.</p></li></ul><p></p><p><strong>Requirements</strong></p><p><strong>Qualifications &amp; Experience:</strong></p><ul><li><p>Bachelor’s degree in industrial engineering, Supply Chain, Logistics, or related field.</p></li><li><p>3–5 years of experience in ERP master data management, preferably within supply chain environments.</p></li><li><p>Hands-on experience with Oracle ERP is preferred.</p></li><li><p>Exposure to manufacturing, logistics, industrial, or trading companies is an advantage.</p></li></ul><p><strong>Technical Skills:</strong></p><ul><li><p>Strong knowledge of ERP master data domains: Item, Supplier, and Customer Masters.</p></li><li><p>Experience with ERP master data templates and data cleansing.</p></li><li><p>Advanced Excel skills (pivot tables, VLOOKUP, duplicates detection).</p></li><li><p>Understanding of item classification logic, units of measure, product hierarchy, and item attributes (procurement, inventory, costing).</p></li></ul><p><strong>Personal Skills:</strong></p><ul><li><p>Exceptional attention to detail and accuracy.</p></li><li><p>Analytical, structured, and process-oriented thinker.</p></li><li><p>Strong documentation discipline.</p></li><li><p>Excellent communication and coordination skills.</p></li><li><p>Ability to work cross-functionally across all departments.</p></li><li><p>High integrity and respect for confidentiality.</p></li></ul><p></p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Advansys is seeking a highly skilled Senior UI/UX Designer to join our innovative team.<br> In this role, you will be responsible for leading the design of user-centric digital experiences, collaborating with cross-functional teams to create intuitive and engaging interfaces that enhance customer satisfaction and drive business growth.<br> You will conduct user research, develop wireframes, prototypes, and high-fidelity designs, and ensure consistency across all digital touchpoints.<br> Additionally, you will mentor junior designers and contribute to establishing design best practices within the organization.<br> 5+ years of professional experience in UI/UX design with a strong portfolio demonstrating your design process and successful projects.<br> Expertise in design tools such as Figma, Sketch, Adobe Creative Suite, or similar.<br> Experience conducting user research, usability testing, and incorporating feedback into design iterations.<br> Deep understanding of user-centered design principles, interaction design, and visual design.<br> Ability to create wireframes, prototypes, and high-fidelity mockups effectively communicating design ideas.<br> Strong communication skills to present and articulate design concepts to stakeholders and development teams.<br> Familiarity with front-end technologies (HTML, CSS, JavaScript) is a plus.<br> Experience working in Agile environments is preferred.<br> Strong leadership skills and ability to mentor junior designers.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Company Description<br><p>About Shutter Studio</p><br><p>Shutter Studio is Pentavalue’s experiential technology and digital activation business. We help brands create interactive experiences for events and campaigns through creative concepts, photo experiences, 360 booths, robots, interactive games, AR/VR, sensors, and customized digital solutions.</p><br><br>Job Description<br><p>The Business Development Executive is responsible for generating qualified leads, acquiring new clients, building strategic partnerships, closing deals, and contributing to Shutter Studio’s revenue growth.</p><br><p>The role manages the client lifecycle from the initial enquiry and requirements gathering through proposal, negotiation, closing, execution coordination, and post-event follow-up. The Business Development Executive serves as the main point of contact for assigned clients and ensures a professional experience throughout the engagement.</p><br><p>Key Responsibilities</p><br><p>Business Development and Client Acquisition</p><br><ul><li>Research potential clients, industries, partners, and market opportunities.</li><li>Generate qualified leads through outreach, networking, referrals, and other sales activities.</li><li>Build and maintain an active sales pipeline.</li><li>Understand client requirements and recommend suitable Shutter services.</li><li>Conduct client meetings, presentations, negotiations, and follow-ups.</li><li>Prepare proposals, quotations, presentations, and commercial offers.</li><li>Close deals and achieve assigned monthly, quarterly, and annual sales targets.</li><li>Build strategic partnerships with potential clients, agencies, venues, suppliers, and other relevant partners.</li><li>Identify upselling, cross-selling, repeat-business, and client-retention opportunities.</li></ul><p>Client Lifecycle Management</p><br><ul><li>Own assigned client engagements from initial enquiry to completion and post-event follow-up.</li><li>Act as the main point of contact for prospective and existing clients.</li><li>Gather, document, and communicate client requirements accurately.</li><li>Coordinate with Marketing, Operations, Creative, Production, and other relevant departments.</li><li>Monitor project and event progress to ensure alignment with the approved scope and client expectations.</li><li>Ensure deliverables, reports, materials, and project outputs are properly handed over.</li><li>Collect client feedback and identify opportunities for future collaboration.</li><li>Maintain long-term client relationships that support retention and loyalty.</li></ul><p>Market Research and Reporting</p><br><ul><li>Monitor market trends, competitor activities, and emerging services.</li><li>Identify market gaps, new solutions, and business opportunities.</li><li>Provide management with relevant market insights and recommendations.</li><li>Maintain accurate CRM records, client communications, pipeline stages, and project updates.</li><li>Prepare regular reports covering leads, sales activities, opportunities, closed deals, and performance against targets.</li><li>Follow company policies, pricing guidelines, workflows, and documentation requirements.</li></ul><br>Qualifications<br><p>Qualifications and Requirements</p><br><ul><li>Bachelor’s degree in Business Administration, Marketing, Sales, or a related field.</li><li>1–3 years of experience in Business Development, B2B Sales, Account Management, Client Relations, Event Management, or a similar role.</li><li>Experience in lead generation, client acquisition, negotiation, and deal closing.</li><li>Strong communication, presentation, persuasion, and relationship-building skills.</li><li>Ability to manage client accounts and coordinate with multiple internal teams.</li><li>Proficiency in Microsoft Office, Google Workspace, and CRM platforms.</li><li>Ability to prepare business proposals, quotations, reports, and commercial presentations.</li><li>Experience in events, marketing services, branding, production, digital marketing, or client services is preferred.</li><li>Proactive, target-driven, organized, accountable, and capable of managing multiple priorities.</li></ul><br>Additional Information<br><p>Key Performance Indicators</p><br><ul><li>Qualified leads generated.</li><li>New clients acquired.</li><li>Number and value of closed deals.</li><li>Revenue generated and sales target achievement.</li><li>Sales conversion rate.</li><li>Strategic partnerships established.</li><li>Client retention and repeat-business rates.</li><li>Customer satisfaction and service quality.</li><li>Successful management of clients from enquiry to final delivery.</li><li>Accuracy of CRM records and timely submission of reports.</li></ul><p>What We Offer</p><br><ul><li>A dynamic and innovative work environment.</li><li>Opportunities to work on technology, production, and creative projects.</li><li>Career growth and continuous learning.</li><li>Performance-based incentives.</li><li>Competitive salary.</li></ul><p><strong>Thank you very much for sharing your profile with us, Our team takes due care of every CV</strong></p><br><br><br> </div>

Job Details<br><br>Description<br><br>About Archer<br><br>A new regulatory change lands somewhere in the world every six minutes, and agentic AI is outpacing most teams' ability to govern it. At Archer, we help the enterprises powering the global economy turn that pressure into an advantage. <br><br>Mandates like the EU AI Act and the SEC cybersecurity disclosure rules are driving the most significant GRC buying cycle we have seen in years. That demand is why we are growing this team. <br><br>This is hard work that matters. Our customers span energy, utilities, financial services, pharmaceuticals, and the public institutions communities depend on. People choose Archer because they get to partner with the most trusted brands in the world, on work that protects the customers and communities those brands serve. <br><br>If that sounds like your kind of work, let's chat. <br><br>The Role<br><br>We are looking for a forward-thinking Full-Stack Data Engineer II to join our team in Egypt. This is not a traditional ETL role; you will be at the forefront of the Data + AI era, leveraging Data Bricks to build intelligent data products. You will be responsible for the end-to-end lifecycle of data, from ingestion and Lakehouse architecture to developing agentic AI workflows that allow our business systems to act autonomously based on data insights.<br><br>AI & Agentic Focus<br><br>Build and deploy LLM-based agents that utilize data tools to solve complex tasks, including implementing Retrieval-Augmented Generation (RAG) patterns and autonomous chains-of-thought for decision-making.<br><br>Stack: Data Bricks & Agentic AI<br><br>What You'll Do<br><br>Design and optimize Delta Lake tables within Data Bricks using Unity Catalog for governance. Develop and deploy agentic workflows using Lang Chain, Auto Gen, or Data Bricks Mosaic AI. Build Python-based backend services (Fast API) to expose AI-driven insights. Manage data pipelines using Data Bricks Workflows and Delta Live Tables (DLT). Implement monitoring frameworks to ensure agent accuracy, safety, and performance.<br><br>You'll Thrive Here If You<br><br>2–4 years experience with PySpark and SQLStrong experience with Data Bricks (Unity Catalog, DLT, Notebooks) Understanding of Lakehouse architecture Hands-on experience with LLMs and prompt engineering Experience building AI agents using APIs and tools Backend development in Python and Docker<br><br>Even Better If You Have<br><br>MLflow for model tracking and deployment Vector databases (Pinecone, Weaviate, Data Bricks Vector Search) Familiarity with Egyptian data localization requirements<br><br>Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without notice at management discretion based on business need.<br><br>Equal Opportunity<br><br>Archer is committed to the principle of equal employment opportunity for all employees and applicants for employment and to providing employees with a work environment free of discrimination and harassment. All employment decisions at Archer are based on business needs, job requirements and individual qualifications, without regard to race, color, religion, national origin, sex (including pregnancy), age, disability, sexual orientation, gender identity and/or expression, marital, civil union or domestic partnership status, protected veteran status, genetic information, or any other characteristic protected by federal, state or local laws. Archer will not tolerate discrimination or harassment based on any of these characteristics. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. All Archer employees are expected to support this policy and contribute to an environment of equal opportunity.<br><br>If you need a reasonable accommodation during the application process, please contact talent-acquisition@archerirm.com. All employees must be legally authorized to work in the country they are applying for. Archer and its approved consultants will never ask you for a fee to process or consider your application for a career with Archer. Archer reserves the right to amend or withdraw any job posting at any time, including prior to the advertised closing date.<br><br>Please contact our Talent Acquisition team at Talent-Acquisition@archerirm.com for the range and related compensation details. Actual pay may vary based on location, experience, skills, and internal equity.

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>Project description We are looking for an experienced Model-Based Development (MBD) Engineer to support automotive embedded software development activities. The ideal candidate will have strong expertise in MATLAB/Simulink and proven experience developing, validating, and integrating model-based software solutions for automotive Electronic Control Units (ECUs). The engineer will work closely with system, software, and validation teams to develop control algorithms, generate production code, and support integration into embedded automotive platforms. Responsibilities Develop and maintain control algorithms using MATLAB and Simulink. Create and modify system and software models based on requirements. Perform model verification and validation. Generate production-ready embedded C code using Embedded Coder. Support integration of generated code into automotive ECU software platforms. Analyze and troubleshoot software issues identified during testing and vehicle integration. Collaborate with systems, software, and calibration engineers. Maintain compliance with automotive development processes and quality standards. Participate in design reviews and technical discussions. Skills Must have Strong experience with: MATLAB Simulink Good knowledge of: Embedded C programming Automotive ECU software architecture Software debugging and analysis Version control systems (Git preferred) Experience with: Model-Based Design workflows MIL, SIL, and HIL testing Requirements traceability Automotive software integration Nice to have Powertrain Controls Body Controls Chassis Systems ADAS Other Languages English: B2 Upper Intermediate Seniority Senior</p><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Company Description<br><p>PentaValue is a rising global Software and digital solutions organization based in Cairo, Egypt founded in 2015. The firm offers your business the best technology, consultation, digital marketing service, security system service and security system.<br> <br> We believe that quality and client satisfaction are our priority, We are focused on engrossing ourselves in your business by creating a long-lasting partnership with our partners. Moreover, one of our major business goals is to enhance the use of technology in every aspect of our life and coming up with intelligent solutions that make our daily activities easier and simpler.<br> <br> We&nbsp;never stop striving, researching, and trying to find out new techniques and formulas in every service and product that we provide which would make us grow fast and reach the peak of the digital industry.&nbsp;</p><br><br>Job Description<br><p><strong>Long-term growth leads to business success — and here at PentaValue, we welcome prospective team members who can help push our vision forward. We’re currently searching for an experienced business development manager who can partner with multiple departments to drive measurable results that benefit our business. Our ideal candidate will be able to implement an effective sales approach that expands our reach, strengthens client relationships, and trains our sales professionals. They will also actively seek out other business opportunities that can boost revenue and set our company apart.</strong></p><br><br>Qualifications<br><p><strong>Objectives of this role</strong></p><br><ul><li><p><strong>Develop, execute, and oversee a business strategy that prioritizes growth and positive customer ratings</strong></p><br></li><li><p><strong>Maintain positive professional relationships with clients&nbsp;</strong></p><br></li><li><p><strong>Use financial techniques to improve sales revenue</strong></p><br></li><li><p><strong>Monitor sales progress to ensure that corporate goals are being met&nbsp;</strong></p><br></li><li><p><strong>Track all business-related invoices&nbsp;</strong></p><br></li><li><p><strong>Train sales professionals and help improve their skills</strong></p><br></li></ul><p><strong>Responsibilities</strong></p><br><ul><li><p><strong>Conduct high-level industry research to develop effective sales solutions</strong></p><br></li><li><p><strong>Promote the company’s products or services to prospective clients&nbsp;</strong></p><br></li><li><p><strong>Participate in collaborative business meetings to update key stakeholders</strong></p><br></li><li><p><strong>Provide continuous, constructive feedback to salespeople&nbsp;</strong></p><br></li><li><p><strong>Review sales contracts to ensure they meet legal and corporate guidelines</strong></p><br></li><li><p><strong>Interact with clients and respond to important inquiries about the company’s products or services</strong></p><br></li></ul><p><strong>Skills and qualifications</strong></p><br><ul><li><p><strong>Proven record of sales growth&nbsp;</strong></p><br></li><li><p><strong>Experience in customer service, marketing, or a sales-related field</strong></p><br></li><li><p><strong>experience in software field.</strong></p><br></li><li><p><strong>Strong knowledge of business and sales growth techniques&nbsp;</strong></p><br></li><li><p><strong>Exceptional project management skills</strong></p><br></li><li><p><strong>Clear verbal and written communication skills&nbsp;</strong></p><br></li><li><p><strong>Enthusiasm for the company and its growth potential</strong></p><br></li></ul><p><strong>Preferred qualifications</strong></p><br><ul><li><p><strong>Experience in managing sales or marketing teams</strong></p><br></li><li><p><strong>Sharp negotiation and networking skills&nbsp;</strong></p><br></li><li><p><strong>Organizational skills</strong></p><br></li><li><p><strong>Problem-solving skills</strong></p><br></li><li><p><strong>Educational background in business, marketing, or finance</strong></p><br></li></ul><br>Additional Information<br><p><strong>Dear candidate, </strong></p><br><p><strong>Thank you very much for sharing your profile with us, Our team takes due care of every CV,&nbsp;</strong></p><br><br><br> </div>

Preferred Qualifications• 1-3 years of experience in SDR/BDR or Saa S sales roles• Experience selling to US-based customers• Familiarity with Saa S or B2B technology products• Proven ability to meet or exceed quotas• Bachelor's degree in Business, Marketing, or related field (often preferred but not mandatory) Common KPIs• 50-100 outbound activities/day• 5-15 meetings booked/month• Pipeline generated• Conversion rate from lead to opportunity• Response time to inbound leads

Preferred Qualifications• 1-3 years of experience in SDR/BDR or Saa S sales roles• Experience selling to US-based customers• Familiarity with Saa S or B2B technology products• Proven ability to meet or exceed quotas• Bachelor's degree in Business, Marketing, or related field (often preferred but not mandatory) Common KPIs• 50-100 outbound activities/day• 5-15 meetings booked/month• Pipeline generated• Conversion rate from lead to opportunity• Response time to inbound leads

To design, build, and maintain scalable data infrastructure and pipelines that enable reliable, efficient, and secure data flow for analytics, business intelligence, and AI/ML initiatives. Reporting directly to the Data Analytics & AI Manager, the role ensures that data from ERP (Oracle), production systems, supply chain, and other sources is ingested, transformed, and made available for data-driven decision-making across FCG's frozen food manufacturing and export operations.<br>RESPONSIBILITIESDesign, develop, and maintain robust ETL/ELT pipelines to ingest data from multiple sources (Oracle ERP, production systems, WMS, IoT sensors, external APIs). Build batch and real-time data pipelines using orchestration tools (Airflow, Prefect, or similar) to support analytics and AI/ML workloads. Ensure data quality, consistency, and reliability throughout the pipeline lifecycle. Design and manage data warehouse and data lake solutions (Snowflake, Big Query, Redshift, or Azure Synapse) optimized for analytics and AI consumption. Implement dimensional modeling (Kimball/Inmon) and data vault methodologies to support BI dashboards and AI feature stores. Optimize storage, partitioning, and query performance for large-scale datasets used by data analysts and data scientists Build and maintain feature stores and training datasets for machine learning models. Collaborate with data scientists to understand data requirements for predictive modeling, forecasting, and optimization algorithms. Implement data transformation logic for model training, validation, and inference pipelines. Integrate data from internal systems (Oracle ERP, WMS, HRIS) and external sources (supplier portals, logistics APIs, market data feeds). Build and maintain API-based data extraction and ingestion services for analytics consumption. Collaborate with application teams to ensure seamless data flow between operational systems and the analytics environment. Implement data quality checks, validation rules, and monitoring within pipelines to ensure accuracy for BI and AI use cases. Ensure data lineage, cataloging, and metadata management for full traceability. Collaborate with the Data Governance team to enforce data standards and security policies. Tune SQL queries, pipeline performance, and data processing jobs to meet SLA requirements for dashboards and AI model refreshes. Optimize resource utilization and cost efficiency for cloud data platforms. Troubleshoot data pipeline failures and ensure timely resolution with minimal impact on analytics users. Work closely with Data Analysts, BI Developers, and Data Scientists to understand data requirements for dashboards, reports, and models. Provide clean, well-documented, and timely datasets for analytics and AI/ML initiatives. Mentor junior data engineers and contribute to best practices within the Data & Analytics team. Maintain technical documentation for data pipelines, schemas, data dictionaries, and feature stores. Ensure compliance with data security, privacy, and retention policies.<br><br><br>REQUIREMENTSBachelor's degree in Computer Science, Data Engineering, Information Systems, or related field. Master's degree is a plus.5–8 years of experience in data engineering, ETL/ELT development, or data warehousing. Experience in manufacturing, FMCG, or food processing industries is preferred. Proven experience supporting analytics, BI, and AI/ML initiatives is highly desirable. Experience with ERP data extraction is a strong advantage. Programming: Advanced Python (Pandas, PySpark) and SQL. ETL/Orchestration: Airflow, dbt, Prefect, or similar tools. Cloud Platforms: AWS (S3, Redshift, Glue), Azure (Data Factory, Synapse), or GCP (Big Query, Dataflow). Data Warehousing: Snowflake, Big Query, Redshift, or Azure Synapse. Big Data Technologies: Spark, Kafka (preferred). Version Control: Git (Git Hub/Git Lab). o Containerization: Docker (preferred). Feature Stores: Experience with Feast, Tecton, or similar (preferred). Strong analytical and problem-solving abilities. Excellent communication and collaboration skills, especially with analytics and data science teams. Attention to detail and commitment to data quality. Ability to work independently and handle multiple priorities.

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Job Summary We are looking for a Data Loss Prevention (DLP) Implementation Consultant to deploy, configure, and implement an enterprise Data Loss Prevention solution.<br> The consultant will be responsible for installing and activating the DLP platform, configuring security policies, deploying endpoint agents for Windows and macOS devices, and ensuring the solution is operational and aligned with customer security requirements.<br> Key Responsibilities Activate and configure DLP software licenses.<br> Install and deploy the DLP Management Server.<br> Configure the DLP Server according to best practices.<br> Design, implement, and fine-tune DLP policies.<br> Configure policy rules for data protection and compliance.<br> Deploy DLP endpoint agents on Windows and macOS devices.<br> Validate agent communication with the DLP server.<br> Perform system testing and troubleshooting.<br> Monitor deployment progress and resolve implementation issues.<br> Collaborate with customer IT and security teams during implementation.<br> Prepare deployment documentation and configuration guides.<br> Conduct knowledge transfer sessions for customer administrators.<br> Support UAT and go-live activities.<br> Ensure implementation follows vendor and security best practices.<br> Required Qualifications Bachelor's degree in Computer Science, Information Security, or a related field.<br> 3+ years of experience implementing enterprise DLP solutions.<br> Experience deploying DLP servers and endpoint agents.<br> Knowledge of Windows and macOS administration.<br> Experience creating and managing DLP policies.<br> Understanding of endpoint security and data protection concepts.<br> Familiarity with Active Directory and Group Policy.<br> Strong troubleshooting and analytical skills.<br> Excellent communication and documentation skills.<br> Preferred Qualifications Experience with one or more DLP solutions such as: Forcepoint DLP Symantec DLP (Broadcom) Trellix/McAfee DLP Microsoft Purview DLP Digital Guardian CoSoSys Endpoint Protector Security certifications such as Security+, CISSP, or vendor-specific certifications.<br> Experience with SIEM and endpoint security solutions.<br> Experience with data classification and compliance frameworks (GDPR, ISO 27001, HIPAA, PCI-DSS).<br> Soft Skills Customer-facing communication skills.<br> Strong documentation abilities.<br> Problem-solving mindset.<br> Ability to work independently.<br> Strong organizational skills.<br> Team collaboration.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Allianz is a dynamic environment for individuals who embrace initiative and growth, fostering a supportive culture that strengthens our global leadership. By prioritizing the well-being of both our 83 million private and corporate customers and our 142,000 employees, Allianz cultivates a collaborative atmosphere where employees are empowered to excel, innovate, and challenge industry standards.<br>Allianz Partners offers extensive expertise in automotive, international health and life, travel insurance, assistance, and direct sales, leading the Allianz B2B2C portfolio. United under the Allianz Global Assistance brand, Allianz Global Automotive and Allianz Worldwide Care specialize in combining strengths to develop innovative solutions that enhance client experiences. Our 15,000 employees, representing 60 nationalities and speaking 58 languages across 34 countries, embody the diverse and inclusive spirit of Allianz Partners. Our core values emphasize daring and caring, anytime and anywhere. If this resonates with you, we invite you to join us.<br>Key Responsibilities:<br> <br>Your duties will include, but are not limited to:<br>- Ensuring transactional accounting accuracy and compliance with relevant accounting standards within your assigned area.<br>- Managing bank account bookings and reporting according to established processes and procedures.<br>- Accurately reconciling company bank statements with financial records, identifying discrepancies, investigating errors, and preparing reports to maintain data integrity.<br>- Conducting weekly or monthly reconciliations of all company bank accounts by comparing accounting entries with bank statements.<br>- Identifying unrecorded transactions or discrepancies and coordinating with responsible parties to resolve them.<br>- Maintaining thorough documentation of bank statements and monthly reconciliation reports.<br>- Providing support during internal and external audits as required.<br> <br>Qualifications and Skills:<br>- Bachelor's degree in Accounting or Finance.<br>- 1 to 3 years of accounting experience.<br>- Knowledge of taxation.<br>- Understanding of the insurance industry.<br>- Excellent communication and interpersonal abilities.<br>- Intermediate to advanced proficiency in Excel.<br>- Experience with SAP or GRP systems.<br>- Proactive approach with the ability to deliver high-quality results under competing deadlines.<br>- Ability to work independently while coordinating with the team as needed.<br>- Strong listening, written, and verbal communication skills.<br>- Proficiency in Business English and Arabic.<br>- Professional and timely communication with internal clients regarding deliveries, inquiries, support, and issue resolution.<br>Work effectively in an environment shaped by artificial intelligence (AI), machine learning, data, analytics and cloud-based tools, using insights responsibly with our standards of data governance, security and ethical use.<br>What We Offer:<br> <br>Our employees are vital to our business success. We recognize each individual's unique needs and ambitions and take pride in supporting their professional journeys.<br>We empower and encourage your personal and professional development by providing a wide range of courses and targeted development programs. This takes place within a global environment that promotes international mobility and career advancement. Prioritizing your health and well-being is essential to us, which is why we offer Work Well programs designed to provide peace of mind and flexibility, helping you achieve a better work-life balance.<br>74637 | Finance &amp; Accounting | Professional | PG07 | Allianz Partners | Full-Time | Permanent<br> <br>Allianz Group is one of the most trusted insurance and asset management companies in the world. Caring for our employees, their ambitions, dreams and challenges, is what makes us a unique employer. Together we can build an environment where everyone feels empowered and has the confidence to explore, to grow and to shape a better future for our customers and the world around us. <br>We at Allianz believe in a diverse and inclusive workforce and are proud to be an equal opportunity employer. We encourage you to bring your whole self to work, no matter where you are from, what you look like, who you love or what you believe in.<br>We therefore welcome applications regardless of ethnicity or cultural background, age, gender, nationality, religion, disability or sexual orientation.<br>Join us. Let's care for tomorrow.<br><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Talent.AI Lab Residency | Cairo, Egypt | 12 months About the program The Data Resident will participate in Finaira’s 12-month Talent.<br>AI Lab Residency, contributing to real-world data science and AI initiatives under the guidance of experienced engineers and mentors.<br> The role provides handson exposure to the full data and forecasting lifecycle, including data quality, feature engineering, statistical analysis, machine learning, forecasting, and behavioral segmentation.<br> Residents will conduct practical research, test new approaches, and deliver meaningful contributions through two structured rotations.<br> How you'll shape your future Work the full forecasting lifecycle on a live Finaira system: data quality, classical and deep-learning models, classification reformulation, and behavioral segmentation Run R&amp;D on open problems in the domain: benchmark newer forecasting methods honestly against established baselines and establish where they win Read current literature and turn promising ideas into tested experiments rather than summaries Complete two rotations of five to six months, each ending in a shipped contribution and a proof-ofconcept Work with a discipline mentor for each rotation, reviewed at fixed checkpoints.<br> Your two-track pairing is assigned at the end of a five-week onboarding phase, based on cohort balance and observed strengths.<br> Your starting foundation Solid Python: you have written code someone else could run Statistics, probability, and applied machine learning at working depth Data wrangling and feature work on real, messy data Comfort designing an experiment and evaluating it honestly You read technical papers without handholding Version control and reproducible code as a habit Strong signals, none required: time series work, clustering or segmentation on a real dataset, a thesis or reading group, exposure to LLM tooling.<br> What we are looking for A senior student graduating in 2027 , or a graduate within one year of graduation Major: Computer Science, Computer Engineering, AI, Data Science, Communication and Networks Engineering, Business Informatics, or Actuarial Science Professional English: you will read papers and write technical documentation Commitment: Available for the full twelve months, starting October 2026 Undergraduates: flexible hours around your timetable, minimum one on-site day per week.<br> Graduates: full-time on site with one remote day accommodated, on site throughout the first six months What you will get A dedicated mentor, and a portfolio of real contributions.<br> An optional track supports you toward publishing your research.<br> Residents who clear the bar at the final review move into defined graduation pathways.<br> Finaira is an Equal Opportunity Employer and is committed to providing a workplace free of discrimination and harassment.<br> All employment decisions are based on business needs, job requirements, and individual qualifications, without regard to any status protected by the laws or regulations in the locations where we operate.<br></span> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Job Overview We are seeking an experienced Data Governance &amp; Management Specialist with 6 12+ years of experience to establish, implement, and manage enterprise data governance frameworks. The ideal candidate will have strong expertise in data governance standards, data quality management, metadata management, master data management, data classification, and privacy practices. This role will support organizations in improving data trust, compliance, accessibility, and business value through effective governance strategies. Key Responsibilities Develop and implement enterprise data governance frameworks aligned with industry standards and business objectives. Establish data governance policies, standards, processes, and operating models. Define data ownership, stewardship models, and governance responsibilities across business and technology teams. Implement data quality management frameworks to improve accuracy, completeness, and reliability of enterprise data. Manage metadata, data cataloging, lineage, and business glossary initiatives. Support Master Data Management (MDM) strategies and implementation. Define and implement data classification and data privacy frameworks. Collaborate with business stakeholders, data owners, security teams, and technology teams to ensure effective data governance. Monitor governance KPIs, data quality metrics, and compliance requirements. Drive adoption of governance practices across enterprise data initiatives. Support regulatory compliance and data protection requirements. Required Technical &amp; Functional Skills Data Governance Frameworks Strong understanding of DAMA-DMBOK or NDMO frameworks and data governance principles. Experience designing and implementing enterprise data governance operating models. Knowledge of data stewardship, ownership, policies, standards, and governance processes. Data Governance Platforms Hands-on experience with Collibra or Alation for: Data catalog management Metadata management Business glossary creation Data lineage tracking Governance workflow management Data Quality Management Experience with Informatica Data Quality (DQ) or comparable data quality tools. Strong understanding of data profiling, validation rules, quality monitoring, and remediation processes. Master Data Management Experience implementing Master Data Management (MDM) frameworks and processes. Understanding of master data domains, golden records, and data synchronization approaches. Data Classification &amp; Privacy Experience with Data Classification and Data Privacy frameworks. Knowledge of sensitive data identification, protection controls, and compliance requirements. Understanding of privacy regulations and enterprise data protection practices. Qualifications Bachelor's degree in Computer Science, Information Technology, Data Management, Business Analytics, or a related field. 6 12+ years of experience in Data Governance, Data Management, Data Quality, or Enterprise Data Management. Strong understanding of enterprise data architecture and governance practices. Excellent communication, stakeholder management, and collaboration skills. Experience working with cross-functional teams in enterprise environments. Preferred Skills Experience supporting large-scale data transformation initiatives. Knowledge of cloud data platforms and modern data ecosystems. Familiarity with data security, risk management, and compliance frameworks. Experience establishing Data Governance Centers of Excellence (CoE). Certifications such as CDMP, DAMA, Data Governance, or Privacy certifications are a plus. Key Technology &amp; Capability Stack Data Governance Frameworks: DAMA-DMBOK or NDMO Data Governance Platforms: Collibra or Alation Data Quality: Informatica Data Quality (DQ) and Data Profiling and Quality Monitoring Data Management: Master Data Management (MDM) and Metadata Management and Data Lineage Data Protection: Data Classification and Data Privacy and Compliance Management Governance Practices: Data Ownership and Data Stewardship and Governance Operating Models Share</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Bachelor's degree in Computer Science, Information Technology, Data Management, Business Analytics, or a related field. 6 12+ years of experience in Data Governance, Data Management, Data Quality, or Enterprise Data Management. Strong understanding of enterprise data architecture and governance practices. Excellent communication, stakeholder management, and collaboration skills. Experience working with cross-functional teams in enterprise environments. Preferred Skills Experience supporting large-scale data transformation initiatives. Knowledge of cloud data platforms and modern data ecosystems. Familiarity with data security, risk management, and compliance frameworks. Experience establishing Data Governance Centers of Excellence (CoE). Certifications such as CDMP, DAMA, Data Governance, or Privacy certifications are a plus.</p><p></p></section>

Staff Data Engineer<br>About the Role Intellias is looking for a Staff Data Engineer to join a large-scale digital healthcare initiative focused on building the data and AI foundations that power personalized healthcare experiences. This is a Staff-level Individual Contributor role for an engineer who combines deep data engineering expertise with distributed systems thinking, backend development, and technical leadership. You will design and build scalable data infrastructure, solve complex cross-platform engineering challenges, and establish technical patterns and standards adopted across multiple engineering teams. The role is highly hands-on while also requiring the ability to provide technical direction, mentor experienced engineers, and influence architecture across the broader platform.<br>Project Overview The project is building a FHIR-based healthcare data platform that integrates data from EHRs, healthcare applications, wearables, portals, and other sources to enable connected and personalized healthcare experiences. The platform supports:Real-time and batch data processing Operational and analytical workloads Healthcare interoperability Data-intensive product capabilities Machine learning and AI use cases Scalable, cloud-native data infrastructure<br>The technology landscape includes Python, PySpark, Apache Spark, Kafka, Duck DB, Prefect/Airflow, Fast API, Mongo DB, Docker, Kubernetes, and cloud-native infrastructure. The core engineering challenge is to build secure, reliable, and scalable data foundations capable of processing heterogeneous healthcare data while supporting product engineering, analytics, machine learning, and emerging AI capabilities.<br>What You’ll DoDesign and implement solutions for large-scale, ambiguous data engineering and distributed-systems challenges. Architect, build, and evolve real-time and batch data infrastructure supporting operational, analytical, and AI/ML workloads. Design and scale event-driven data pipelines using technologies such as Kafka, Spark, and PySpark. Build production backend services and APIs using Python and Fast API to support data and platform capabilities. Define scalable approaches to data ingestion, transformation, modeling, validation, storage, and delivery. Design data architectures that address schema evolution, data quality, heterogeneous data integration, scalability, and operational reliability. Establish and champion technical standards, architectural patterns, engineering best practices, and reusable platform components. Serve as a cross-team technical authority for data systems, distributed processing, pipelines, and platform architecture. Improve the reliability, scalability, performance, and cost efficiency of data infrastructure. Implement robust observability, logging, monitoring, and alerting across distributed data systems. Design systems with security, privacy, healthcare compliance, and scalability built in from the beginning. Improve engineering workflows, CI/CD pipelines, automated testing, and production deployment practices. Collaborate closely with Product, ML/AI, Platform, Infrastructure, and application engineering teams to develop shared data capabilities. Provide technical mentorship through architecture reviews, design discussions, pairing, and knowledge sharing. Evaluate emerging data and AI technologies and introduce them where they provide measurable improvements to platform capabilities or engineering efficiency. Remain hands-on with production engineering, validating architectural decisions through implementation and operational experience.<br>What You Bring Required Qualifications5+ years of professional software and data engineering experience, including at least 3 years working with large-scale distributed data systems. Deep expertise designing and building scalable data platforms, pipelines, and distributed processing systems. Strong hands-on proficiency in Python, with production experience using technologies and libraries such as PySpark, Pandas, and Fast API. Strong experience with Apache Spark/PySpark and distributed data processing at scale. Experience designing and implementing real-time and batch data pipelines using Kafka, Spark, or comparable distributed processing technologies. Strong understanding of data architecture, data modeling, schema evolution, data quality, and heterogeneous data integration. Experience with workflow orchestration technologies such as Prefect, Apache Airflow, or equivalent. Experience building production backend services and APIs supporting data and platform capabilities. Strong SQL skills and hands-on experience with modern data storage technologies, including relational and NoSQL databases such as Mongo DB. Strong understanding of distributed systems principles, including scalability, reliability, fault tolerance, consistency, and performance. Experience designing and implementing observability, logging, monitoring, and alerting for distributed data systems. Strong cloud-native engineering experience, including Docker, Kubernetes, CI/CD, and production deployment practices. Proven ability to independently design solutions for ambiguous, large-scale engineering problems spanning multiple systems and teams. Demonstrated experience establishing technical standards, engineering patterns, development practices, and reusable platform capabilities. Strong technical leadership skills, including experience mentoring senior engineers, conducting design reviews, and influencing architecture without formal people-management authority. Strong understanding of security, privacy, and data protection principles for production data platforms. Professional English proficiency sufficient for direct collaboration with U. S.-based engineering, product, ML, and platform teams. Bachelor's degree in computer science, Engineering, or a related field.<br>Nice to Have Experience with FHIR, HL7, C-CDA, or other healthcare interoperability standards. Previous experience in healthcare, Health Tech, or another regulated data environment. Understanding of HIPAA, HITECH, or comparable data privacy and compliance requirements. Experience deploying or supporting LLMs, ML models, AI-enabled data products, or retrieval-based systems. Experience building data infrastructure supporting ML/AI workloads and production inference. Hands-on experience with observability technologies such as Open Telemetry, Datadog, Prometheus, or similar platforms. Experience with Duck DB or modern analytical data-processing technologies. Experience with AI-assisted engineering tools such as Claude Code, Git Hub Copilot, Cursor, or comparable solutions. Contributions to open-source projects or publicly available engineering initiatives.<br>Why Join This Initiative? This role offers the opportunity to shape the data and AI foundations of a modern healthcare platform operating at significant scale. You will work on technically complex challenges spanning:Distributed data processing Event-driven architectures Backend services Cloud-native infrastructure Healthcare interoperability Data platform architecture AI/ML enablement<br>As a Staff-level Individual Contributor, your impact will extend well beyond individual services or pipelines. You will establish architectural patterns, influence technical decisions across teams, mentor experienced engineers, and help define how the broader engineering organization builds and operates data-intensive systems. At the same time, this is fundamentally a hands-on engineering role. You will design systems, build critical components, validate architectural decisions through code, and remain closely connected to how systems behave in production. This position is particularly well suited for an engineer who wants to combine deep technical expertise with organization-wide engineering influence while building data infrastructure that directly enables better healthcare products and emerging AI capabilities.