Python Developer Jobs in Egypt

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>As an AI &amp; Data Trainee, you will contribute to projects that turn data into insight and help shape AI-driven solutions that support business goals.<br> This role is a strong fit for someone looking to grow their foundation in artificial intelligence, machine learning, and data work while collaborating with teams across the business on meaningful technology initiatives.<br> Responsibilities Develop and implement AI and data-driven solutions to support business objectives.<br> Analyze large datasets to extract actionable insights and support decision-making.<br> Design and build machine learning models and algorithms tailored to company projects.<br> Collaborate with cross-functional teams to integrate AI solutions into existing systems and workflows.<br> Stay current with the latest advances in AI, machine learning, and data science technologies.<br> Support data governance, data quality, and ethical AI practices within the organization.<br> A culture of growth: Many of our leaders started in junior roles — we believe in investing in our people and growing talent from within.<br> Continuous feedback: We don’t wait for annual reviews — we believe in real-time coaching and development.<br> Supportive &amp; collaborative vibes: We're all about learning together, cheering each other on, and diving into challenges as a team.<br> A space for every personality: Love socializing?<br> You’ll thrive in our lively environment where conversation and connection are key.<br> Prefer quiet focus?<br> We’ve got dedicated Focus Rooms perfect for deep work.<br> Bachelor’s degree (or recent graduate) in Computer Science, Data Science, Artificial Intelligence, or a related field.<br> Basic knowledge of machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn (academic or personal projects are a plus).<br> Good programming skills in Python and familiarity with data processing libraries (such as Pandas and NumPy).<br> Basic understanding of working with data, including data cleaning workflows, and data visualization tools such as Power BI or Tableau, along with Python-based visualization libraries such as Matplotlib or Seaborn.<br> Foundational knowledge of statistics, data mining, predictive modeling concepts, and model experimentation workflows.<br> Experience working in Agile-style delivery.<br> Eligible to work in Egypt.<br> Experience with version control using Git is a plus.<br> Completion of solid AI, machine learning, or data projects is a plus.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><strong>Envision Employment Solutions</strong> is currently looking for a <strong>Senior Gen AI/Agentic AI Full Stack Lead </strong>for one of our partners, a leader in the <strong>Consulting &amp; Technology Services</strong>!</p><br><p><strong>Objective:</strong></p><br><p>We are seeking an experienced <strong>Senior Gen AI/Agentic AI Full Stack Lead</strong> to design, develop, and deploy advanced AI solutions using Generative AI, Agentic AI frameworks, Machine Learning, and Full Stack Python development. In this role, you will lead the end-to-end delivery of AI applications, from understanding business requirements and designing scalable solutions to deploying production-ready models. You will work closely with cross-functional teams and leverage cloud platforms such as AWS, Azure, and GCP to deliver innovative, high-quality AI solutions for enterprise clients.</p><br><p><strong>Responsibilities:</strong></p><br><ul><li>Collaborate with data engineers, data scientists, and business stakeholders to understand the data and the business problems.</li><li>Proven hands-on Gen AI / Agentic AI and data science with machine learning</li><li>Strong knowledge of Python</li><li>Experience of deploying the Gen AI applications with one of the Agent Frameworks like Langgraph, Autogen, Crew AI.</li><li>Experience in deploying the Gen AI stack/services provided by various platforms such as AWS, GCP, Azure</li><li>Experience in Generative AI and working with multiple Large Language Models and implementing Advanced RAG based solutions.</li><li>Experience in processing/ingesting unstructured data from PDFs, HTML, Image files, audio to text etc.</li><li>Experience with data gathering, data quality, system architecture, coding best practices</li><li>Hands-on experience with Vector Databases (such as FAISS, Pinecone, Weaviate, or Azure AI Search).</li><li>Experience with Lean / Agile development methodologies</li></ul> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and design appropriate solutions. Work closely with IT and infrastructure teams to deploy and maintain data storage and processing systems, including databases, data warehouses, and cloud infrastructure. Design, build, and maintain robust, scalable data pipelines to ingest, process, and transform data from various sources, including internal databases and external APIs. Optimize data pipelines for performance, scalability, and reliability, ensuring timely and accurate delivery of data. Implement data validation and quality checks to identify and rectify any issues in data pipelines, ensuring data integrity. Explore and evaluate new technologies, tools, and frameworks to improve data engineering processes and capabilities. Perform data modeling and schema design to support analytical and reporting requirements. Design and build data marts and business layers to facilitate efficient data access and analysis.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Bachelor s degree in Computer Science, Information Systems, or other related technical field or equivalent work. Proven experience as a Data engineer or similar role, with at least 4 years of experience. Advanced SQL knowledge/experience - complex queries and query optimization. Proficiency in programming languages such as Python. Experienced in the development of data warehouses and proficient in data modeling. Familiarity with cloud platforms such as AWS, Azure, or Google Cloud Platform. Experience in building data streams using technologies such as Kafka, Flink, or Spark Streaming is considered a plus. Strong problem-solving skills and attention to detail. The ability and willingness to learn new technologies on the job. Self driven, highly motivated, fast learner, ambitious and creative.</p><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Develop and implement the data engineering strategy in line with our business objectives and industry best practices Lead, mentor, and grow a team of data engineers, fostering a culture of innovation, collaboration, and continuous improvement Collaborate with the Data Architect to design, build, and optimize data infrastructure, ensuring it is scalable, secure, and performant Work closely with other engineering managers to ensure seamless data integration and accessibility for analytics and business intelligence initiatives Establish and enforce data engineering standards, guidelines, and best practices across the organization Identify, evaluate, and implement new data technologies and tools to enhance the capabilities of the data team Collaborate with cross-functional teams to identify data requirements and support data-driven projects Monitor and maintain the health and performance of mylo's data ecosystem, proactively identifying and addressing any issues Office environment: When you come to our b_labs office, you'll find creative workspaces and an open design to foster collaboration between teams.<br> Flexibility: You know best whether you want to work from home or in the office.<br> Equipment: From "Day 1" you will receive all the equipment you need be successful at work.<br> Bachelor's or Master's degree in Computer Science, Engineering, or a related field Minimum of 8 years of experience in data engineering, with at least 3 years in a leadership role Strong knowledge of data science tools, technologies, and best practices, including data warehousing, ETL, and data pipelines Proficiency in programming languages such as Python, Java, or Scala Experience with big data technologies such as Hadoop, Spark, and Kafka Familiarity with cloud-based data solutions (AWS, Azure, or Google Cloud) Exceptional problem-solving, communication, and leadership skills Ability to collaborate effectively with cross-functional teams and stakeholders</span> </div>

Company Description Ain Shams University, founded in July 1950 as Ibrahim Pasha University, is the third established university in Egypt. It has played a key role alongside Cairo University and Alexandria University in expanding access to higher education for a growing youth population. Over time, Ain Shams University has developed a strong network of distinguished faculties and academic institutes. The university is recognized for its commitment to academic excellence, research, and the preparation of future professionals across multiple disciplines. Computer science students benefit from a vibrant academic environment and opportunities for practical learning.<br>Role Description A Computer Science Student at Ain Shams University engages in full-time, on-site study and academic work at the Cairo campus. Day-to-day activities include attending lectures and labs, completing programming assignments, participating in group projects, and conducting research under faculty guidance. Students are expected to engage actively in class discussions, collaborate with peers, and apply analytical thinking to solve computing problems. The role also involves staying up to date with emerging technologies, preparing for exams, and participating in academic events or workshops related to computer science.<br>Qualifications<br> <br>Foundational knowledge in Computer Science, including core concepts, data structures, and algorithms. Programming skills in one or more languages (such as Python, Java, C++, or similar) and the ability to write clean, efficient code. Strong Analytical Skills and problem-solving abilities for tackling theoretical and practical computing challenges. Effective Communication skills, including the ability to collaborate with peers and present technical ideas clearly. Research skills, with the capacity to gather information, review academic literature, and contribute to projects under supervision. Commitment to full-time study and readiness to work in an on-site, campus-based environment in Cairo. Basic familiarity with mathematics relevant to computer science (such as discrete mathematics and logic) is beneficial. Demonstrated motivation to learn, adapt to new technologies, and participate in academic and extracurricular activities.

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Intetics, a leading global technology company providing custom software application development, distributed professional teams, software product quality assessment, and “all-things-digital” solutions, is looking for a Senior Java developer to enrich its team with a skilled professional to spread the company’s ideas, vision, content, and messages.<br> Connected Car, Autonomous Self-Driving Vehicle technologies, IoT, Embedded Application Development, Internet Radio and Mobile Apps are just some of the cool things we work on here at Abalta Technologies.<br> We are pioneers in the navigation and mapping industry and have worked with over 60 global name brands since our inception.<br> We are looking for a passionate, ambitious software engineer who is able to take responsibility for the backend of our product and is able to select the right technologies and tools to build the solution within our set of core technologies.<br> If you are able to turn those into a working solution for the client we invite you to join our team.<br> We are looking for Java Developers to join our growing team to work on digital map projects.<br> Primary Responsibilities: Have a BS or MS in CS, CE, or EE 5+ years work experience with Java programming Have excellent written and verbal communication skills Be self-motivated.<br> Must be able to anticipate problems, spot opportunities and take a proactive approach to responsibilities Be motivated to continue to learn new skills Have strong interpersonal skills to facilitate working within a team and with the customer Responsibilities: Software subsystem design and implementation Attend code and design reviews Interact with customers Help drive the technical direction of the engineering group in the following areas: Coding standards and guidelines Agile/Scrum methodology Provide assistance to other engineers in a constructive manner that will promote productivity One or more of the following additional skills are highly desired: Experience with HERE OLP, OLP API Experience with Python Experience with GIS Experience with GPS and mapping APIs Experience with Agile/Scrum development methodology Experience with AWS</span> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Siemens EDA is a global technology leader in Electronic Design Automation software. Our software tools enable companies around the world to develop highly innovative electronic products faster and more cost-effectively. Our customers use our tools to push the boundaries of technology and physics to deliver better products in the increasingly complex world of chip, board, and system design. Position Overview The Design-to-Silicon (D2S) is seeking a highly qualified QA Test Engineer to join the Calibre Semi-Manufacturing QA Team in Cairo, Egypt. Responsibilities: Monitor quality processes and procedures throughout the entire product lifecycle, including inspections, code reviews, requirements validation, code coverage analysis, and continuous quality improvement. Define product quality expectations, create plans to measure them, and ensure successful execution of those plans. Be accountable for schedule predictability and measuring progress against objectives. Understand the level of quality required at different phases of the product lifecycle and ensure the product performs as intended in the customer's environment. Collaborate with customers, Marketing, and Customer Support to understand customer needs and requirements. Document verification and validation activities to ensure the reproducibility of results. Assess the technical quality of the product, including usability, functionality, reliability, and serviceability. Test products to identify defects, limitations, and boundary conditions. Collaborate and coordinate with global Engineering and QA teams as needed. Review functional and design specifications, as well as other project documentation. Review internal and external product and release documentation, and provide appropriate feedback to stakeholders (e.g., KPD and third-party providers). Coordinate with Software Development and Release teams to ensure high-quality software releases.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Bachelor's degree in Electrical Engineering (Electronics and Communications) or Computer Engineering. 0 2 years of experience in software testing and test automation. Good knowledge of Linux/Unix operating systems, version control tools (e.g., Git, CVS), Bash, Python, Tcl, and defect tracking systems. Experience with GUI testing is a plus. Good understanding of IC manufacturing processes and IC layout design. Good knowledge of Software Quality Assurance processes and software testing concepts is an advantage. Excellent communication skills and the ability to work closely with Product Owners and R&amp;D teams to understand software features and customer use cases. Self-motivated with a strong aptitude for continuous learning.</p><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Envision Employment Solutions is currently looking for a Senior Gen AI/Agentic AI Full Stack Lead for one of our partners, a leader in the Consulting &amp; Technology Services !<br> Objective: We are seeking an experienced Senior Gen AI/Agentic AI Full Stack Lead to design, develop, and deploy advanced AI solutions using Generative AI, Agentic AI frameworks, Machine Learning, and Full Stack Python development.<br> In this role, you will lead the end-to-end delivery of AI applications, from understanding business requirements and designing scalable solutions to deploying production-ready models.<br> You will work closely with cross-functional teams and leverage cloud platforms such as AWS, Azure, and GCP to deliver innovative, high-quality AI solutions for enterprise clients.<br> Responsibilities: Collaborate with data engineers, data scientists, and business stakeholders to understand the data and the business problems.<br> Proven hands-on Gen AI / Agentic AI and data science with machine learning Strong knowledge of Python Experience of deploying the Gen AI applications with one of the Agent Frameworks like Langgraph, Autogen, Crew AI.<br> Experience in deploying the Gen AI stack/services provided by various platforms such as AWS, GCP, Azure Experience in Generative AI and working with multiple Large Language Models and implementing Advanced RAG based solutions.<br> Experience in processing/ingesting unstructured data from PDFs, HTML, Image files, audio to text etc.<br> Experience with data gathering, data quality, system architecture, coding best practices Hands-on experience with Vector Databases (such as FAISS, Pinecone, Weaviate, or Azure AI Search).<br> Experience with Lean / Agile development methodologies Bachelor's degree in computer science, Engineering, Mathematics, Statistics, or related field Proficient in Python and common machine learning libraries such as TensorFlow, PyTorch, Scikit-learn, etc.<br> Hands-on experience with CI/CD pipelines and DevOps tools like Jenkins, GitHub Actions, or Terraform.<br> Proficiency in NoSQL and SQL databases (PostgreSQL, MongoDB, CosmosDB, DynamoDB).<br> Experience in Python AI/ML frameworks such as TensorFlow, PyTorch, or LangChain.<br> Experience in creating Web UI applications, ML models &amp; pipelines, Gen AI and Agentic AI solutions.<br> Experience in Agentic AI frameworks like Autogen, Crew AI, Semantic Kernal, Langgraph etc.<br>, Strong understanding of LLM fine-tuning, local deployment of open source models Proficiency in building RESTful APIs using FastAPI, Flask, or Django.<br> Knowledge in Model evaluation tools like DeepEval, FMeval, RAGAS , Bedrock model evaluation.<br> Experience with perception (e.<br>g. computer vision), time series data (e.<br>g. text analysis) Data visualization tools such as Tableau, Query languages such as SQL, Hive Good applied statistics skills, such as distributions, statistical testing, regression, etc.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Envision Employment Solutions is currently looking for a Senior Gen AI/Agentic AI Full Stack Lead for one of our partners, a leader in the Consulting &amp; Technology Services !<br> Objective: We are seeking an experienced Senior Gen AI/Agentic AI Full Stack Lead to design, develop, and deploy advanced AI solutions using Generative AI, Agentic AI frameworks, Machine Learning, and Full Stack Python development.<br> In this role, you will lead the end-to-end delivery of AI applications, from understanding business requirements and designing scalable solutions to deploying production-ready models.<br> You will work closely with cross-functional teams and leverage cloud platforms such as AWS, Azure, and GCP to deliver innovative, high-quality AI solutions for enterprise clients.<br> Responsibilities: Collaborate with data engineers, data scientists, and business stakeholders to understand the data and the business problems.<br> Proven hands-on Gen AI / Agentic AI and data science with machine learning Strong knowledge of Python Experience of deploying the Gen AI applications with one of the Agent Frameworks like Langgraph, Autogen, Crew AI.<br> Experience in deploying the Gen AI stack/services provided by various platforms such as AWS, GCP, Azure Experience in Generative AI and working with multiple Large Language Models and implementing Advanced RAG based solutions.<br> Experience in processing/ingesting unstructured data from PDFs, HTML, Image files, audio to text etc.<br> Experience with data gathering, data quality, system architecture, coding best practices Hands-on experience with Vector Databases (such as FAISS, Pinecone, Weaviate, or Azure AI Search).<br> Experience with Lean / Agile development methodologies Bachelor's degree in computer science, Engineering, Mathematics, Statistics, or related field Proficient in Python and common machine learning libraries such as TensorFlow, PyTorch, Scikit-learn, etc.<br> Hands-on experience with CI/CD pipelines and DevOps tools like Jenkins, GitHub Actions, or Terraform.<br> Proficiency in NoSQL and SQL databases (PostgreSQL, MongoDB, CosmosDB, DynamoDB).<br> Experience in Python AI/ML frameworks such as TensorFlow, PyTorch, or LangChain.<br> Experience in creating Web UI applications, ML models &amp; pipelines, Gen AI and Agentic AI solutions.<br> Experience in Agentic AI frameworks like Autogen, Crew AI, Semantic Kernal, Langgraph etc.<br>, Strong understanding of LLM fine-tuning, local deployment of open source models Proficiency in building RESTful APIs using FastAPI, Flask, or Django.<br> Knowledge in Model evaluation tools like DeepEval, FMeval, RAGAS , Bedrock model evaluation.<br> Experience with perception (e.<br>g. computer vision), time series data (e.<br>g. text analysis) Data visualization tools such as Tableau, Query languages such as SQL, Hive Good applied statistics skills, such as distributions, statistical testing, regression, etc.<br></span> </div>

<p>Are you a passionate <strong>Data Analyst</strong> ready to transform raw data into actionable insights? We are seeking an experienced professional to join our dynamic IT/Software Development team in the vibrant city of <strong>Alexandria, Egypt</strong>. This is a unique opportunity to leverage your analytical prowess in a <strong>hybrid work environment</strong>, blending the best of office collaboration and remote flexibility.</p><p><strong>Overview:</strong> As a Data Analyst, you will be at the forefront of understanding complex datasets, identifying trends, and providing crucial recommendations that drive strategic business decisions. You'll work within a supportive team committed to innovation and excellence, making a tangible impact on our projects and products.</p><ul><li><strong>Responsibilities:</strong></li><li>Perform comprehensive data analysis to identify patterns, anomalies, and opportunities for improvement.</li><li>Design, develop, and maintain robust dashboards and reports to visualize key performance indicators.</li><li>Collaborate with cross-functional teams to understand business requirements and translate them into technical specifications.</li><li>Utilize statistical methods to interpret data and present findings clearly and concisely to stakeholders.</li><li>Ensure data integrity and accuracy across various systems.</li><li>Contribute to the continuous improvement of data collection, analysis, and reporting processes.</li></ul><ul><li><strong>Skills & Technologies:</strong></li><li>You will be expected to bring strong skills in <strong>Computer Science</strong> principles, a deep understanding of <strong>Data Analysis</strong> methodologies, and a solid background in <strong>Information Technology (IT)</strong>. Proficiency in tools like <strong>SQL</strong> and programming languages such as <strong>Python</strong> is crucial. Experience with <strong>Data Visualization</strong> tools and <strong>Statistical Analysis</strong> techniques will be highly valued.</li></ul><ul><li><strong>Growth Opportunities:</strong></li><li>We are committed to your professional development. You'll have access to cutting-edge technologies and continuous learning opportunities to expand your expertise in areas like advanced analytics, machine learning, and big data platforms. Grow your career within a company that values innovation and personal advancement.</li></ul><ul><li><strong>Team & Culture:</strong></li><li>Join a collaborative and inclusive team where your ideas are heard, and your contributions are celebrated. Our culture fosters creativity, problem-solving, and a shared passion for technology. We believe in empowering our employees to achieve their full potential while maintaining a healthy work-life balance.</li></ul><ul><li><strong>Impact:</strong></li><li>Your work will directly influence product development, operational efficiency, and strategic planning. You'll play a pivotal role in shaping our data-driven future, helping us make smarter decisions and deliver exceptional value to our users.</li></ul><p><strong>Requirements</strong></p><ul><li>Are you ready to elevate your career and make a significant impact? We are seeking an <strong>Experienced Data Analyst</strong> with a passion for data-driven insights.</li><li><strong>Required Skills:</strong> We're looking for individuals with a strong foundation in <strong>Computer Science</strong>, proven expertise in <strong>Data Analysis</strong>, and a solid understanding of <strong>Information Technology (IT)</strong>. Essential skills include proficiency in <strong>SQL</strong> for querying and manipulating data, strong command of <strong>Python</strong> for data processing and analysis, experience with <strong>Data Visualization</strong> tools, and a solid grasp of <strong>Statistical Analysis</strong>. Knowledge of <strong>Database Management</strong>, <strong>ETL</strong> processes, and fundamental <strong>Machine Learning</strong> concepts will set you apart. Beyond technical prowess, excellent <strong>Problem Solving</strong>, <strong>Communication</strong>, and <strong>Critical Thinking</strong> abilities are paramount.</li><li><strong>Experience Requirements:</strong> Candidates should possess between <strong>3 to 7 years of relevant professional experience</strong> in data analysis or a related IT field.</li><li><strong>Career Level Expectations:</strong> This role is ideal for an <strong>Experienced</strong> professional eager to take on significant challenges and contribute to high-impact projects.</li></ul>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span> What you´ll do </span><ul> <li>Application Portfolio &amp; Product Planning</li> <li>Governance, Risk &amp; Compliance (GRC)</li> <li>Vendor Management &amp; Commercial Operations</li> <li>Requirements Orchestration &amp; Stakeholder Management</li> <li>KPI Maintenance &amp; Operational Monitoring</li> <li>Documentation &amp; Architectural Understanding</li> <li>Project Management<br></li> </ul> <br><br> What makes you a good fit <ul> <li>Bachelor's degree in information technology, Computer Science, Business, or a related field.</li> <li>3 – 5 years of hands-on experience in application management, IT service management, or a comparable role within a global enterprise environment.</li> <li>Proven track record managing business-critical applications across multiple time zones.</li> <li>Demonstrable experience with vendor management, contract lifecycle administration, and PO/invoice processes.</li> <li>Experience working within GRC frameworks and responding to security assessment processes (e.g., SIG, ISO 27001, SOC 2).</li> <li>Previous involvement in application upgrade projects or global rollouts is highly desirable.</li> <li>Solid understanding of enterprise application architectures (e.g., multi-tier, etc..).</li> <li>Familiarity with infrastructure standards including cloud platforms, virtualization, networking, and hosting concepts.</li> <li>Experience with integration technologies and middleware (APIs, ESB, data pipelines).</li> <li>Working knowledge of ITSM tools and processes (incident, change, problem management).</li> <li>Proficiency with standard productivity and collaboration tools (MS Office 365, SharePoint, Confluence, Jira, or equivalent).</li> <li>Ability to read and interpret technical documentation, architecture diagrams, and data flow maps.</li> <li>Understanding of enterprise printing architectures and print management platforms.</li> <li>Exposure to task automation tools, scripts.</li> <li>Scripting skills in one or more languages (e.g., Python, PowerShell, Bash) for automation and operational tasks.</li> <li>Experience with server administration and OS-level management (Windows Server / Linux).Familiarity with warehouse management or supply chain IT systems is a plus.&nbsp;</li> </ul> Some perks of joining Henkel <ul> <li>Flexible work scheme with flexible hours, hybrid work model, and work from anywhere policy for up to 30 days per year</li> <li>Diverse national and international growth opportunities</li> <li>Global wellbeing standards with health and preventive care programs</li> <li>Gender-neutral parental leave for a minimum of 8 weeks</li> <li>Employee Share Plan with voluntary investment and Henkel matching shares</li> <li>Comprehensive Health Insurance for employee + dependents</li> <li>Employee Assistance Programme provides a wide range of mental health and wellbeing benefits</li> </ul> <p>At Henkel, we come from a broad range of backgrounds, perspectives, and life experiences. We believe the uniqueness of all our employees is the power in us. Become part of the team and bring your uniqueness to us! We look for a diverse team of individuals who possess different backgrounds, experiences, personalities and mindsets.</p><br> <br> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>As a Data Analyst at Prepit, you will be responsible for analyzing data, building and maintaining ETL processes, ensuring data quality, and delivering insights that drive product and business decisions. You'll collaborate closely with Product, Engineering, and Business teams to develop scalable reporting solutions and support a data-driven culture.</p><p>Key Responsibilities</p><ul><li>Collect, clean, transform, and analyze data from multiple sources.</li><li>Design, develop, and maintain ETL/ELT pipelines to ensure reliable and timely data availability.</li><li>Write efficient SQL queries to extract, validate, and analyze data.</li><li>Build and maintain dashboards and reports using Metabase.</li><li>Partner with Product, Engineering, and Business teams to define KPIs and reporting requirements.</li><li>Monitor data quality and implement validation checks to ensure data accuracy.</li><li>Perform ad hoc analyses to identify trends, opportunities, and business insights.</li><li>Support data modeling and optimize datasets for reporting and analytics.</li><li>Document data sources, ETL processes, and reporting logic.</li><li>Continuously improve data workflows through automation and process optimization.</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Bachelor's degree in Computer Science, Data Science, Information Systems, Statistics, Engineering, or a related field.</li><li>2 years of experience as a Data Analyst or in a similar role.</li><li>Strong proficiency in SQL.</li><li>Hands-on experience designing and maintaining ETL/ELT processes.</li><li>Experience working with relational databases (PostgreSQL, MySQL, or similar).</li><li>Experience creating dashboards and reports using Metabase.</li><li>Good understanding of data modeling and data warehousing concepts.</li><li>Experience with Python (Pandas) for data analysis or automation is a plus.</li><li>Familiarity with cloud platforms and modern data architectures is an advantage.</li><li>Excellent analytical, problem-solving, and communication skills.</li><li>Ability to work independently in a fast-paced startup environment.</li></ul><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>We are looking for a hands-on Applied Scientist / ML Engineer to support the development and improvement of AI/ML solutions, with a strong focus on Large Language Models, model accuracy, evaluation frameworks, and production-ready machine learning pipelines. The role will involve fine-tuning models, building RAG pipelines, improving prompt strategies, and collaborating with engineering teams to integrate AI capabilities into operational tools.</p><p>Key Responsibilities</p><ul><li>Fine-tune and optimize Large Language Models for domain-specific use cases.</li><li>Build evaluation frameworks to measure model quality, accuracy, and performance.</li><li>Develop and maintain RAG pipelines using operational data, documentation, and codebase references.</li><li>Design prompt engineering strategies and improve multi-step AI workflows.</li><li>Analyze model failure points, identify accuracy gaps, and recommend improvements.</li><li>Collaborate with software engineering teams to deploy model enhancements into production.</li><li>Create dashboards and reporting to track model performance and continuous improvement.</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>3+ years of hands-on experience in machine learning, deep learning, NLP, or LLM development.</li><li>Experience fine-tuning language models such as GPT, Claude, Llama, Mistral, or similar.</li><li>Strong Python skills and experience with PyTorch, TensorFlow, or Hugging Face Transformers.</li><li>Experience building end-to-end ML pipelines, including data preparation, training, evaluation, and deployment.</li><li>Knowledge of model evaluation metrics such as accuracy, F1, BLEU, ROUGE, and human evaluation methods.</li><li>Experience with RAG architectures, vector databases, and embedding models is preferred.</li><li>Familiarity with AWS ML tools such as Amazon Bedrock or SageMaker is a plus.</li><li>Ability to work independently and deliver high-quality results with minimal supervision.</li></ul><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Advansys is looking for a Junior Machine Learning Engineer to join our dynamic team.<br> This is an excellent opportunity for recent graduates or individuals with foundational experience in machine learning to advance their careers in a supportive and innovative environment.<br> You will assist in the development, implementation, and monitoring of machine learning models and algorithms.<br> Key responsibilities include: Assisting in the design and implementation of machine learning models under the guidance of senior engineers.<br> Conducting data cleaning and preprocessing to prepare datasets for training models.<br> Supporting the evaluation and fine-tuning of machine learning algorithms.<br> Collaborating with cross-functional teams to understand project requirements and objectives.<br> Documenting processes, model training, and outcomes clearly and comprehensively.<br> Staying updated with industry trends and best practices in machine learning and AI.<br> Participating in team meetings and contributing to brainstorming sessions.<br> Hybrid working model Social and medical insurance Transportation Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, or a related field.<br> Basic understanding of machine learning concepts and algorithms.<br> Familiarity with programming languages such as Python or R, and experience with ML libraries (e.<br>g., scikit-learn, TensorFlow, or Keras).<br> Experience with data manipulation and analysis tools such as Pandas and NumPy.<br> Strong analytical and problem-solving skills.<br> Good communication skills and the ability to work effectively in a team environment.<br> Enthusiasm for learning new technologies and techniques in AI/ML.<br> Internship or project experience in machine learning or data analysis is a plus.<br></span> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Yassir is seeking a highly skilled and motivated Senior Data Scientist, to join our Artificial Intelligence (AI) team and contribute to some of our key projects, such as Dynamic Pricing and Trip Dispatching. As a Data Scientist, you will play a crucial role in analyzing and modelling data to optimize our Machine Learning (ML) systems. Your expertise in both predictive modelling and software development will be essential in driving our solutions and providing value to Yassir. This is a very exciting opportunity, tackling some of Yassir s most critical problems.</p><p><br></p><p><b>Responsibilities</b></p><ul><li>Become an expert point of contact and thought leader on your scope by mastering the details and principles pertaining to it. Some key areas we have to focus include: optimizing our Pricing capabilities, such as Dynamic / Surge Pricing, Discounts / Commissioning Optimization and Personalized Pricing, optimizing our Dispatching capabilities, optimizing our Fraud Detection / Revenue Leakage Prevention capabilities, optimizing our Recommendations / Personalization capabilities, amongst others.</li><li>Identify and propose ML opportunities related to your scope and beyond</li><li>Support with requirements definition and prioritization of ML projects</li><li>Collaborate with cross-functional Engineering and Product teams</li><li>Champion Data Quality as a critical input component to all ML solutions and Analytics</li><li>Conduct Exploratory Data Analysis and subsequent Feature Selection / Engineering</li><li>Utilize Statistical and ML techniques, as appropriate, for model training</li><li>Validate and tune ML models</li><li>Visualize analysis / modelling results focusing on meaningful, actionable metrics and insights</li><li>Deploy and test ML applications using our MLOps infrastructure</li><li>Monitor ML models on their technical performance, business impact and underlying data / concept drift</li><li>Explain technical solutions in a business-friendly manner, supporting Product teams in their communications and reporting</li><li>Maintain and improve technical documentation of delivered solutions</li><li>Support the Data &amp; AI domain in developing its technical capabilities, improving its ways of working and collaboration with other dependent teams</li><li>Champion Data Culture, proactively share knowledge across teams, and participate and drive team building activities</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Solid Mathematical / Statistical / Machine Learning as well as Software Development technical skills - supported by a Masters degree or above in a relevant quantitative field such as Mathematics, Statistics, Data Science, Machine Learning, Operational Research, Computer Science, Software Engineering, Physics</li><li>Comfortable in efficient, production quality Python and SQL coding at a professional setting with at least 2 years of industry experience (more years of experience would be required for more Senior roles)</li><li>Comfortable with key software engineering concepts, such as code / memory profiling, code optimization, scalability, code / QA testing, cost optimization and associated best practices.</li><li>Comfortable with key Statistical concepts, such as statistical testing and causal analysis</li><li>Analytical thinking and problem solving skills</li><li>Engineering mindset focused towards delivering robust applied data science solutions</li><li>Visualization skills, including experience with common Python ecosystem libraries and/or Analytics / BI tooling</li><li>Familiarity and prior use of Cloud solutions and their data / ML services - at Yassir we use Google Cloud Platform (GCP), experience with which is highly preferred</li><li>Mastering of the end-to-end (ML) model development lifecycle</li><li>Excellent communication skills, including presentation and oral / written communication (clear articulation, concise documentation) in professional English</li><li>Positive attitude and resilience</li><li>Strong interpersonal skills focused on peer support, empathy, active listening, team building and stakeholder relationships building</li><li>Internal drive, self-motivation and ability to work independently including own effective project management</li></ul><p><strong>Nice to have</strong></p><ul><li>Experience with Financial Services companies</li><li>Experience working on ML features for Digital Products (apps, websites)</li><li>Experience with one or more from: Pricing / Economics related projects and/or modelling techniques (we welcome Economics / Econometrics backgrounds and experience), Fraud Detection related projects, Dispatching related projects, Personalization related projects</li></ul><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><strong>Envision Employment Solutions</strong> is currently looking for a <strong>Senior Gen AI/Agentic AI Full Stack Lead </strong>for one of our partners, a leader in the <strong>Consulting &amp; Technology Services</strong>!</p><br><p><strong>Objective:</strong></p><br><p>We are seeking an experienced <strong>Senior Gen AI/Agentic AI Full Stack Lead</strong> to design, develop, and deploy advanced AI solutions using Generative AI, Agentic AI frameworks, Machine Learning, and Full Stack Python development. In this role, you will lead the end-to-end delivery of AI applications, from understanding business requirements and designing scalable solutions to deploying production-ready models. You will work closely with cross-functional teams and leverage cloud platforms such as AWS, Azure, and GCP to deliver innovative, high-quality AI solutions for enterprise clients.</p><br><p><strong>Responsibilities:</strong></p><br><ul><li>Collaborate with data engineers, data scientists, and business stakeholders to understand the data and the business problems.</li><li>Proven hands-on Gen AI / Agentic AI and data science with machine learning</li><li>Strong knowledge of Python</li><li>Experience of deploying the Gen AI applications with one of the Agent Frameworks like Langgraph, Autogen, Crew AI.</li><li>Experience in deploying the Gen AI stack/services provided by various platforms such as AWS, GCP, Azure</li><li>Experience in Generative AI and working with multiple Large Language Models and implementing Advanced RAG based solutions.</li><li>Experience in processing/ingesting unstructured data from PDFs, HTML, Image files, audio to text etc.</li><li>Experience with data gathering, data quality, system architecture, coding best practices</li><li>Hands-on experience with Vector Databases (such as FAISS, Pinecone, Weaviate, or Azure AI Search).</li><li>Experience with Lean / Agile development methodologies</li></ul> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>We are seeking a Site Reliability Engineer to ensure the availability, reliability, and scalability of platforms and applications by combining software engineering with operational excellence. This role focuses on monitoring, automation, and proactive reliability engineering while working closely with development teams to design resilient systems and reduce manual operational effort. What you ll do _x000D_ Monitor application and platform availability and reliability, ensuring agreed service levels are met. Use software engineering practices to automate operational tasks and achieve low touch or zero touch operations. Design and enhance system and software architectures to improve scalability, capacity, performance, and reliability. Define, implement, promote, and monitor service level objectives (SLOs) and service level indicators (SLIs) in collaboration with product owners and development teams. Write automation code for provisioning and operating infrastructure at scale. Partner with development teams to ensure reliability and scalability are built into applications from the design stage. Build and maintain CI/CD pipelines and automation for deploying applications into production environments. Participate in an on call rotation to support applications and infrastructure. Investigate incidents, perform root cause analysis, and document post incident reviews with remediation recommendations. Document, share, and actively promote knowledge across teams and stakeholders. Engage with internal and external stakeholders to communicate complex technical topics and support the adoption of improved technology solutions.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Hold a Bachelor s degree in Computer Science, Computer Engineering, Software Engineering, or a related discipline. Have a minimum of 3 years professional experience in software engineering and/or IT support roles. Demonstrate strong analytical thinking and structured problem solving skills. Are adaptable, open minded, and comfortable working in environments with rapidly evolving technologies. Have experience working within multicultural and geographically distributed teams. Are able to navigate complex organisational environments and translate complexity into practical, simple solutions. Bring hands on experience with Google Cloud Platform and its managed services. Have coding experience using languages such as Python, Java, JavaScript, or Scala. Possess strong Linux and system administration skills. Show solid understanding of networks, databases, DNS, proxies, security, and web application architectures. Are familiar with SQL, relational databases, and NoSQL technologies such as MongoDB. Have experience with containerisation and orchestration tools including Docker and Kubernetes. Are comfortable working with infrastructure as code, CI/CD pipelines, monitoring tools, and version control systems. Work in an agile environment and demonstrate a delivery focused, customer centred mindset with strong English communication skills.</p><p>Not a perfect fit? _x000D_ 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><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>TJM Labs builds AI-driven automation that strips away the repetitive, error-prone tasks slowing pharmacies down so teams can focus on patient care.<br> Our bots handle prescription intake, fax processing, insurance workflows and more, helping pharmacies scale efficiently without adding headcount.<br> TJM Labs is looking for a Full Stack Engineer to join our growing team.<br> This is an excellent opportunity for someone early in their software engineering career who enjoys solving problems, building thoughtful solutions, and learning quickly in a fast-paced remote environment.<br> We’re less focused on where you went to school or how many years of experience you have, and more interested in how you think, how you work, and your potential to grow.<br> As a Full Stack Engineer, you’ll support the development of internal tools, automations, and software products that help drive our business forward.<br> You’ll work closely with technical team members to build practical solutions, troubleshoot issues, and contribute to ongoing product improvements.<br> What You'll Do Design, build, and maintain software applications, services, and internal tools.<br> Develop new automation solutions and product features for pharmacy workflows.<br> Build and maintain integrations with third-party systems and APIs.<br> Troubleshoot production issues and improve system reliability and performance.<br> Write clean, maintainable, and well-tested code.<br> Participate in code reviews and technical discussions.<br> Collaborate with teammates to plan, scope, and deliver projects.<br> Use modern development tools, including AI-assisted workflows, to improve productivity and software quality.<br> Identify opportunities to simplify processes and improve engineering efficiency.<br> Contribute to architecture and technical design decisions as the platform grows.<br> Follow secure coding practices, protect company data, and adhere to internal information security policies and procedures.<br> Fully remote work environment.<br> Competitive compensation.<br> Meaningful projects with direct business impact.<br> High ownership and autonomy.<br> Opportunity to work with AI-driven technologies and modern development tools.<br> A collaborative team focused on solving real problems for healthcare customers.<br> 3+ years of software development experience.<br> Strong experience with Python.<br> Experience building web applications, APIs, or backend systems.<br> Experience with Git, GitHub, and modern software development workflows.<br> Familiarity with databases and data modeling.<br> Strong debugging, troubleshooting, and problem-solving skills.<br> Ability to work independently in a remote environment.<br> Clear written and verbal English communication skills.<br> Strong sense of ownership and accountability.<br> Nice to Have Experience with JavaScript, TypeScript, React, or modern frontend frameworks.<br> Experience building AI-powered applications, automations, or workflow systems.<br> Experience working with cloud infrastructure and deployment pipelines.<br> Experience integrating with third-party platforms and APIs.<br> Familiarity with healthcare technology or regulated industries.<br> Experience working at a startup or high-growth company.<br></span> </div>

<div><h3 data-path-to-node="6">Role Purpose</h3><p data-path-to-node="7">The Customer Support Engineer acts as the key technical bridge between the organization and external business clients utilizing digital shipping channels, APIs, and data feeds. The primary objective is threefold: keeping shipping platforms securely aligned with national customs and regulatory data standards, onboarding and technical support of external customers on core digital applications, and troubleshooting complex integration issues down to payload and log-level root causes to ensure zero business interruption.</p><h3 data-path-to-node="8"><br></h3><h3 data-path-to-node="8">Key Responsibilities</h3><ul data-path-to-node="9"><li><p data-path-to-node="9,0,0">Monitor national customs regulatory changes, evaluate their impact on digital shipping channels, and translate updates into technical change requests.</p></li><li><p data-path-to-node="9,1,0">Lead country-level digital integration projects from technical scoping and stakeholder alignment through to testing, final execution, and sign-off.</p></li><li><p data-path-to-node="9,2,0">Serve as the main point of contact for customer technical integration onboarding, guiding clients from requirements gathering through live production.</p></li><li><p data-path-to-node="9,3,0">Troubleshoot complex technical integration issues daily by analyzing API request/response payloads, error codes, and application system logs.</p></li><li><p data-path-to-node="9,4,0">Direct technical conversations with external client IT and operations departments to modify data streams, configurations, and connectivity.</p></li><li><p data-path-to-node="9,5,0">Collaborate closely with commercial and sales teams to provide technical guidance and map specific digital shipping solutions to client trading profiles.</p></li><li><p data-path-to-node="9,6,0">Act as the local technical expert on data quality, eliminating manual workarounds by driving systemic software enhancements through regional engineering channels.</p></li><li><p data-path-to-node="9,7,0">Package comprehensive diagnostic summaries—including reproduction steps and impact assessments—when escalating advanced platform anomalies to regional IT teams.</p></li><li><p data-path-to-node="9,8,0">Develop automated routines and scripts utilizing corporate office tools to minimize manual administration and streamline recurring reporting patterns.</p></li><li><p data-path-to-node="9,9,0">Plan and deliver professional technical briefings, walkthroughs, and educational documentation to help external clients proactively align with upcoming platform updates.</p></li></ul><h3 data-path-to-node="10"><br></h3><h3 data-path-to-node="10">Qualifications, Experience and Competencies</h3><ul data-path-to-node="11"><li><p data-path-to-node="11,0,0">University Graduate with a Bachelor's degree in Information Technology, Computer Science, Engineering, or a strictly related field.</p></li><li><p data-path-to-node="11,1,0">Professional fluency in both English and Arabic, with highly developed written English skills suitable for authoring external client-facing technical guidance.</p></li><li><p data-path-to-node="11,2,0">Minimum of 2 years of experience in a dedicated, external-customer-facing technical support, software integration, or customer solutions environment.</p></li><li><p data-path-to-node="11,3,0">Proven practical experience in API troubleshooting with a demonstrated ability to read and interpret REST/JSON and XML payloads.</p></li><li><p data-path-to-node="11,4,0">Direct experience analyzing application error messages, application logs, and utilizing standard testing tools such as Postman or similar clients.</p></li><li><p data-path-to-node="11,5,0">Strong working knowledge of corporate data handling tools, including relational database queries (SQL) and advanced analytical spreadsheet processing.</p></li><li><p data-path-to-node="11,6,0">Solid communication competence, with a proven ability to translate complex software restrictions to business users, and commercial needs to developers.</p></li><li><p data-path-to-node="11,7,0">Structural problem-solving approach focused on achieving long-term root-cause resolution over temporary issue closure.</p></li><li><p data-path-to-node="11,8,0">Exceptional self-prioritization skills, showing a capacity to work independently against strict, unyielding external regulatory deadlines.</p></li><li><p data-path-to-node="11,9,0">Experience or background in logistics, express shipping, or customs trade compliance frameworks is highly advantageous.</p></li><li><p data-path-to-node="11,10,0">Familiarity with modern data scripting or automation languages (such as Python, JavaScript, or workflow automation engines) is considered a valuable asset.</p></li></ul><div><br></div><p data-path-to-node="13"><strong>Equal Treatment Clause:</strong> We are committed to fostering equal opportunity and strictly reject all forms of discrimination. At DHL Group, employee selection is based exclusively on individual qualification, performance, skills, and professional experience.</p><p data-path-to-node="14"><br></p><p data-path-to-node="14">✨ We <strong data-path-to-node="14" data-index-in-node="5">Deliver the Difference</strong> </p><p data-path-to-node="14">✨ We <strong data-path-to-node="14" data-index-in-node="33">Care</strong> </p><p data-path-to-node="14">✨ We <strong data-path-to-node="14" data-index-in-node="43">Grow Together</strong></p></div>

<div><h3 data-path-to-node="6">Role Purpose</h3><p data-path-to-node="7">The Digital Customer Solutions (DCS) Specialist acts as the key technical bridge between the organization and external business clients utilizing digital shipping channels, APIs, and data feeds. The primary objective is threefold: keeping shipping platforms securely aligned with national customs and regulatory data standards, onboarding and technical support of external customers on core digital applications, and troubleshooting complex integration issues down to payload and log-level root causes to ensure zero business interruption.</p><h3 data-path-to-node="8"><br></h3><h3 data-path-to-node="8">Key Responsibilities</h3><ul data-path-to-node="9"><li><p data-path-to-node="9,0,0">Monitor national customs regulatory changes, evaluate their impact on digital shipping channels, and translate updates into technical change requests.</p></li><li><p data-path-to-node="9,1,0">Lead country-level digital integration projects from technical scoping and stakeholder alignment through to testing, final execution, and sign-off.</p></li><li><p data-path-to-node="9,2,0">Serve as the main point of contact for customer technical integration onboarding, guiding clients from requirements gathering through live production.</p></li><li><p data-path-to-node="9,3,0">Troubleshoot complex technical integration issues daily by analyzing API request/response payloads, error codes, and application system logs.</p></li><li><p data-path-to-node="9,4,0">Direct technical conversations with external client IT and operations departments to modify data streams, configurations, and connectivity.</p></li><li><p data-path-to-node="9,5,0">Collaborate closely with commercial and sales teams to provide technical guidance and map specific digital shipping solutions to client trading profiles.</p></li><li><p data-path-to-node="9,6,0">Act as the local technical expert on data quality, eliminating manual workarounds by driving systemic software enhancements through regional engineering channels.</p></li><li><p data-path-to-node="9,7,0">Package comprehensive diagnostic summaries—including reproduction steps and impact assessments—when escalating advanced platform anomalies to regional IT teams.</p></li><li><p data-path-to-node="9,8,0">Develop automated routines and scripts utilizing corporate office tools to minimize manual administration and streamline recurring reporting patterns.</p></li><li><p data-path-to-node="9,9,0">Plan and deliver professional technical briefings, walkthroughs, and educational documentation to help external clients proactively align with upcoming platform updates.</p></li></ul><h3 data-path-to-node="10"><br></h3><h3 data-path-to-node="10">Qualifications, Experience and Competencies</h3><ul data-path-to-node="11"><li><p data-path-to-node="11,0,0">University Graduate with a Bachelor's degree in Information Technology, Computer Science, Engineering, or a strictly related field.</p></li><li><p data-path-to-node="11,1,0">Professional fluency in both English and Arabic, with highly developed written English skills suitable for authoring external client-facing technical guidance.</p></li><li><p data-path-to-node="11,2,0">Minimum of 2 years of experience in a dedicated, external-customer-facing technical support, software integration, or customer solutions environment.</p></li><li><p data-path-to-node="11,3,0">Proven practical experience in API troubleshooting with a demonstrated ability to read and interpret REST/JSON and XML payloads.</p></li><li><p data-path-to-node="11,4,0">Direct experience analyzing application error messages, application logs, and utilizing standard testing tools such as Postman or similar clients.</p></li><li><p data-path-to-node="11,5,0">Strong working knowledge of corporate data handling tools, including relational database queries (SQL) and advanced analytical spreadsheet processing.</p></li><li><p data-path-to-node="11,6,0">Solid communication competence, with a proven ability to translate complex software restrictions to business users, and commercial needs to developers.</p></li><li><p data-path-to-node="11,7,0">Structural problem-solving approach focused on achieving long-term root-cause resolution over temporary issue closure.</p></li><li><p data-path-to-node="11,8,0">Exceptional self-prioritization skills, showing a capacity to work independently against strict, unyielding external regulatory deadlines.</p></li><li><p data-path-to-node="11,9,0">Experience or background in logistics, express shipping, or customs trade compliance frameworks is highly advantageous.</p></li><li><p data-path-to-node="11,10,0">Familiarity with modern data scripting or automation languages (such as Python, JavaScript, or workflow automation engines) is considered a valuable asset.</p></li></ul><div><br></div><p data-path-to-node="13"><strong>Equal Treatment Clause:</strong> We are committed to fostering equal opportunity and strictly reject all forms of discrimination. At DHL Group, employee selection is based exclusively on individual qualification, performance, skills, and professional experience.</p><p data-path-to-node="14"><br></p><p data-path-to-node="14">✨ We <strong data-path-to-node="14" data-index-in-node="5">Deliver the Difference</strong> </p><p data-path-to-node="14">✨ We <strong data-path-to-node="14" data-index-in-node="33">Care</strong> </p><p data-path-to-node="14">✨ We <strong data-path-to-node="14" data-index-in-node="43">Grow Together</strong></p></div>