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About Us Ready to rock the future with us? At Hellmann we put our people at the heart of everything we do, because for us, relationship matters. Joining us does not just mean becoming part of a global company. It is an invitation to shape the future of the logistics industry together with us. Our Hellmann culture is based on our four values: Caring, Entrepreneurial, Forward-Thinking and Reliable. These values resonate with yours? Then become part of our FAMILY that consists of around 14.000 employees in more than 241 locations worldwide. For the better. Together. It is vital for maintaining accurate financial records and ensuring timely payment processing, which supports our operational efficiency. About The Job Accounts Payable Processing: Process invoices, purchase orders, and expense reports accurately and efficiently, ensuring adherence to company policies and procedures. Maintain vendor records, including contact information, payment terms, and pricing details. Collaborate with vendors to resolve any invoicing or payment-related discrepancies. Verify the accuracy and completeness of invoices, ensuring proper coding, approval, and documentation. Resolve any discrepancies or issues that may arise during the verification process. Prepare and process payments to vendors within established payment terms. Ensure compliance with internal controls and assist in reconciling accounts payable transactions. Review and process employee expense reports, ensuring compliance with company policies and appropriate documentation. Vendor invoicing. Maintain organized and accurate accounts payable records, both electronically and physically. Ensure proper filing and archiving of financial documents. Assist in generating regular reports related to accounts payable activities, such as outstanding payables, aging analysis, and cash flow projections. Assist in internal and external audit processes, providing necessary documentation and support as required. Support the accounting team with additional tasks and projects as assigned. About You Interpersonal/Communication skills. Team worker. Time management skills Organizational and planning skills Attention to detail and accurate. Strong problem-solving skills combined with a solution-orientated approach. Analytical and logical skills. About Our Benefits A strong Team Spirit and a lot of fun together A safe, multi-cultural and inclusive environment Individual opportunities for growth and development Inclusion and social diversity are firmly anchored values in our corporate culture. Regardless of gender, age, any disabilities, religion, ethnic origin or sexual identity: We are looking forward to meeting you! If you are excited by this fantastic opportunity and have what it takes, then click APPLY! Show more

PetroApp is looking for a dedicated and detail-oriented Accountant to join our finance team. In this role, you will be responsible for performing essential accounting functions, maintaining accurate financial records, and supporting the team in achieving financial objectives. As an Accountant, you will assist in processing financial transactions, preparing financial reports, and ensuring compliance with accounting principles. If you are a motivated individual with a strong foundation in accounting, we invite you to apply! Responsibilities Prepare and maintain accurate financial records, including ledgers and journals Assist in the preparation of monthly financial statements and reports Manage accounts payable and receivable processes, ensuring timely processing of invoices and payments Perform regular account reconciliations to ensure accuracy of financial data Support the month-end close process and assist with audits as needed Adhere to company policies and accounting procedures to ensure compliance Collaborate with team members to identify and implement improvements in accounting processes Stay updated on relevant accounting regulations and best practices Requirements Bachelor's degree in accounting, Finance, or a related field 0-2 years of experience in accounting or finance roles Basic knowledge of accounting principles and practices Odoo & Taxing experience is a must Proficient in Microsoft Excel and accounting software Strong attention to detail and accuracy Excellent organizational and time management skills Effective communication skills and ability to work as part of a team Ability to adapt to a fast-paced environment and manage multiple tasks Benefits Private Health Insurance Performance Bonus Show more

Careers Details HomeCareersCareers Details Full timeOn siteUrgent S e n i o r S o f t w a r e Q A E n g i n e e r Cairo, Egypt J o b D e s c r i p t i o n We're looking for a seasoned Senior QA Engineer to champion quality across our software platforms. This role goes beyond testing—it's about building a culture of precision, reliability, and continuous improvement. Lead end-to-end QA efforts, architect scalable test frameworks, and collaborate with cross-functional teams to deliver flawless user experiences. R e q u i r e m e n t s 5+ years of hands-on QA experience in agile software development environments. Strong proficiency in test automation and scripting (e.g., Python, JavaScript, or Java). Deep understanding of software QA methodologies, tools, and processes. Experience with CI/CD tools and version control systems (e.g., Git). Familiarity with cloud environments (AWS, Azure, or GCP) and containerized testing (Docker). Solid grasp of performance testing principles and tools. Excellent analytical, problem-solving, documentation, and communication skills. Bonus: ISTQB certification, experience with security testing, or exposure to healthcare/regulated domains. R e s p o n s i b i l i t i e s Design, implement, and maintain robust test strategies for web, mobile, and API layers. Develop and execute manual and automated test cases across functional, regression, performance, and security domains. Own the QA lifecycle from planning through release, ensuring traceability and coverage. Build and scale automation frameworks using Selenium, Cypress, or Playwright. Integrate automated tests into CI/CD pipelines (e.g., GitHub Actions, Jenkins, or Azure DevOps). Conduct API testing using Postman, REST Assured, or similar tools. Perform load and stress testing using JMeter, Locust, or k6. Collaborate with developers, product managers, and DevOps to triage issues and optimize release cycles. Mentor junior QA engineers and promote best practices across teams. Drive continuous improvement through root cause analysis and quality metrics. Job Information Job CodeQA-ENG-SR-007 DepartmentQuality Assurance RoleSenior Software QA Engineer LocationCairo, Egypt Experience5-8 yrs Send Your CV Now L e t ’ s B u i l d F u t u r e T o g e t h e r Get Started Now We architect digital platforms that scale trust, drive transformation, and meet global standards across industries, borders, and regulations. Services Digital Transformation Business Process Automation AI Enablement Enterprise Integrations Data & Analytics Software Outsourcing Resources About Us Careers Contact Us Our Offices Head Office123 Clock Tower, Business Bay, Dubai, UAE. Mon-Fri 9am-5pm Egypt OfficeThe GrEEK Campus (F-211), 171 El Tahrir, Down Town, Cairo, Egypt. Sun-Thu 9am-5pm info@tanemera.com © 2025 Tanemera All right reserved Privacy Policy Terms & Condition Show more

Business insight and decision support: Translate strategic and operational questions into clear analyses, dashboards, reports, and recommendations for leadership and functional teams KPI and metrics ownership: Define, document, and govern business metrics across fuel consumption, transaction activity, customer adoption, fleet performance, station coverage, invoicing, product usage, savings, churn, and operational efficiency Dashboard and reporting delivery: Build reliable self-service dashboards for executives, product, sales, finance, operations, customer success, and country or regional teams Customer and product analytics: Analyze user journeys, feature adoption, customer cohorts, fleet behavior, transaction trends, fuel limits, budget usage, and drop-off points to guide product and growth decisions Operations and finance analytics: Support reconciliation, invoicing, station performance, wallet movement, service usage, cost analysis, revenue tracking, and profitability insights Fraud and anomaly insight: Partner with product, operations, and data engineering to identify unusual fuel patterns, tampering indicators, policy exceptions, and monitoring rules that improve trust and control Experimentation and forecasting: Design analyses for pilots, pricing, campaigns, product launches, and operational changes; support forecasting for consumption, transactions, customer demand, and station utilization Data storytelling: Present insights clearly, explain trade-offs, quantify impact, and convert analysis into practical recommendations and action plans Data quality partnership: Work with data engineering to improve source data, metric definitions, documentation, dashboard reliability, and analytics-ready datasets Analytics mentorship: Set standards for analysis quality, dashboard design, metric governance, and stakeholder communication while mentoring less experienced analysts Requirements Required qualifications 5+ years of experience in data analytics, business intelligence, product analytics, revenue analytics, operations analytics, or a similar analytical role Advanced SQL skills with the ability to independently extract, transform, join, validate, and analyze complex data from multiple domains Strong experience building dashboards and data products using Power BI, Tableau, Looker, Metabase, Superset, or similar BI tools Strong understanding of KPI design, metric definitions, funnel analysis, cohort analysis, segmentation, trend analysis, forecasting, and root-cause analysis Ability to convert ambiguous business questions into analytical plans, structured hypotheses, and actionable recommendations Experience working with transactional, product, customer, payment, operational, or financial datasets at scale Working knowledge of Python or R for analysis, automation, statistical exploration, or notebook-based research Excellent stakeholder management and communication skills, including the ability to explain technical findings to non-technical audiences Strong attention to data accuracy, definitions, documentation, and reproducibility Comfort working in fast-paced product and engineering environments with changing priorities and high ownership expectations Preferred qualifications Experience in fintech, fleet management, logistics, mobility, fuel, marketplace, SaaS, or high-volume transaction businesses Experience with dbt, semantic layers, data catalogs, metric stores, or analytics engineering workflows Familiarity with fraud analytics, anomaly detection, operational controls, pricing analysis, or customer savings measurement Experience with A/B testing, causal inference, retention analysis, churn prediction, LTV modeling, or commercial performance analytics Arabic and English business communication skills are a plus for regional stakeholder engagement Core analytics stack expectations The exact stack may evolve, but the successful candidate should be comfortable operating across the following categories: Analysis: SQL, spreadsheets, Python or R, notebooks, statistical methods, and business case modeling BI and visualization: Power BI, Tableau, Looker, Metabase, Superset, or equivalent dashboarding tools Data modeling: dimensional thinking, metric definitions, cohort tables, funnel tables, and curated analytical datasets Collaboration: requirements gathering, stakeholder workshops, documentation, presentations, and decision memos Governance: metric catalog, dashboard ownership, access control awareness, and data quality issue management Product analytics: event data, customer journeys, feature usage, adoption metrics, retention, and conversion analysis Benefits Competitive salary and benefits package Opportunity to work on cutting-edge technology with a passionate team Career growth and development opportunities A collaborative and inclusive work environment Show more

Job Description Proudly voted a Great Place to Work®, we are a dynamic startup in the SaaS space that is revolutionizing the way businesses communicate. Our team is made up of 500 energetic and passionate Unifones who are dedicated to delivering the best possible experience to 5000+ customer-centric companies. We pride ourselves on our fun and collaborative work environment, where creativity and new ideas are constantly encouraged. As shareholders in the business, we’re so much more than a group of passionate communicators. We are Unifones. Join our team and be a part of something big! Meet the team! Our Engineering team is responsible for designing, developing, and maintaining the systems and technologies that drive Unifonic’s solutions. We work closely with other departments to ensure our products and services meet the needs of our customers. If you are passionate about technology and are excited about working on cutting-edge communication and engagement solutions, we want you on our team. As a Senior Machine Learning (AI) Engineer, you will be responsible for designing, developing, and deploying advanced machine learning solutions across various domains, including NLP, Text Classification, RAG, LLMs, Recommender engines, and Anomaly detection. This role involves end-to-end project ownership, from data preprocessing to the creation of service APIs, and offers opportunities to work on cutting-edge AI technologies. Help Us Shape The Future Of Communication By Leading the end-to-end design, development, and deployment of robust and scalable machine learning solutions, with a strong emphasis on NLP and RAG architectures. Architecting and implementing RAG systems, combining large language models (LLMs) with robust retrieval mechanisms to improve the accuracy, factual grounding, and interpretability of generated content. Applying advanced NLP techniques for tasks such as text classification, entity recognition, sentiment analysis, summarization, question answering, and information extraction. Researching, evaluating, and integrating state-of-the-art NLP models and RAG frameworks (e.g., Transformers, BERT, GPT variants, Vector Databases, Semantic Search). Mentoring junior team members on the team, sharing knowledge, and advising the best machine learning and software engineering practices and approaches. Establishing and maintaining robust communication channels with other cross-functional teams to facilitate the integration of machine learning solutions into other Unifonic products. Developing and optimizing highly confident machine learning algorithms and models and creating/exposing the service APIs using frameworks such as Flask, FastAPIs, or other relevant frameworks. Staying up to date with the latest machine learning research papers, and AI trends (i.e. Generative AI). Collaborating with the data engineering team and other teams to collect and analyze extensive datasets, extracting insights and patterns, in real-time, near-real-time, or batch processing mode. Implementing proof of concepts and prototypes to demonstrate the potential of new AI use cases and innovations. Building scalable, maintainable machine learning services, which should handle thousands of requests per second, and help to perform the required load tests to meet the SLA. Reviewing the code of other team members and suggesting improvements to ensure the SOLID principles and clean architecture. Assisting in the project documentation and demos. Job Requirements What you'll bring: Proven experience designing and implementing RAG systems, including familiarity with various retrieval strategies (e.g., BM25, dense retrieval, hybrid approaches) and knowledge graph integration. Hands-on experience with LLM orchestration frameworks such as LangChain, LangGraph, CrewAI, or similar tools for building and managing autonomous agents. Deep expertise in various NLP techniques and models, including but not limited to: Transformer architectures (e.g., BERT, GPT, T5, LLama, Mistral) Large Language Models (LLMs) and their fine-tuning/adaptation Vector embeddings and similarity search Text classification, named entity recognition (NER), sentiment analysis, summarization, and question answering. Hands-on 3-5 years of relevant work experience as a Machine Learning Engineer. Hands-on 3+ years of experience with Python. Excellent analytical abilities, with the capacity to collect, organize, and analyze large datasets to glean valuable insights. End-to-end experience in training, evaluating, testing, and deploying machine learning products in production. Ability to write world-class code in Python (SOLID principles), considering the best software engineering fundamentals, i.e. data structures, algorithms, and data modeling Solid experience in ML frameworks such as NumPy, Pandas, Scikit-Learn, PyTorch, Keras, BERT, Tensorflow, and similar. Familiarity with MLOps best practices, e.g. Model deployment and reproducible research. Mastering data science needed skills like SQL, hypothesis testing, Data cleansing, data augmentation, data pre-processing techniques, and dimensionality reduction. Basic knowledge of Kubernetes and Docker is nice to have. Excellent understanding of Machine learning techniques like Naive Bayes classifiers, SVM, Decision Tree, KNN, K-means, Random Forest, modeling and optimization, evaluation metrics, classification, and clustering. Experience with the Hugging Face libraries (i.e. transformers). Experience fine-tuning pre-trained models and using vector search to enhance LLMs results. Experience with LLM frameworks (i.e. LangChain) and prompt engineering techniques. Familiar with code versioning tools such as GIT, CI/CD concepts, and toolchains. Familiar with Agile methodologies i.e. scrum and kanban. Ability to develop high-level architecture and low-level design, End-to-end for a specific project. Experience in event sourcing patterns and tools i.e. Kafka, RabbitMQ, or similar is a plus. Experience with LLM frameworks (i.e. LangChain) and prompt engineering techniques is nice to have. Experience in event sourcing patterns and tools i.e. Kafka, RabbitMQ, or similar is nice to have. General knowledge of Data warehouse tools e.g. Vertica is a plus. A Bachelor’s degree in a relevant field. (e.g. Computer Science, Computer Engineering, Software, etc). Excellent communication and collaboration skills. Good level of spoken and written Arabic and English. As a Unifone you will receive a range of benefits: Competitive salary and bonus. Unifonic share scheme (we are all owners!). 30 holiday days after the first anniversary. Your Birthday off! Spend up to 25 days per year working from anywhere in the world! Paid leave for new parents. Show more

Talent 360 is hiring a detail-oriented Junior Accountant for our client. In this role, you will be responsible for managing day-to-day accounting activities, maintaining accurate financial records, and ensuring compliance with accounting standards, company policies, and regulatory requirements. This is an excellent opportunity for an ambitious accounting professional who is looking to grow beyond core accounting functions and gain exposure to financial analysis, budgeting, forecasting, and business performance reporting. We are seeking someone who is eager to learn, develop new skills, and contribute to the organization's financial success in a collaborative and growth-oriented environment. Key Responsibilities Manage day-to-day accounting operations, including accounts payable, accounts receivable, general ledger entries, and bank reconciliations Prepare accurate monthly, quarterly, and annual financial statements and reports Assist in month-end and year-end closing activities and ensure compliance with accounting standards and company policies Monitor financial transactions and maintain accurate accounting records Support budget preparation, forecasting, and variance analysis Assist in financial analysis to identify trends, risks, and opportunities for business improvement Coordinate with internal teams and external auditors to ensure timely completion of audits and financial reviews Ensure compliance with tax regulations, financial reporting requirements, and internal controls Prepare ad hoc financial reports and analyses to support management decision-making Continuously identify opportunities to improve accounting processes and financial reporting efficiency Requirements Bachelor's degree in Accounting, Finance, or a related field 0-2 years of experience in general accounting, financial reporting, or a related finance role Strong knowledge of accounting principles, financial regulations, and reporting standards Proficiency in accounting software and Microsoft Office Suite, particularly Excel Experience preparing financial statements, reconciliations, and management reports Strong analytical, problem-solving, and numerical skills Excellent attention to detail and ability to maintain accurate financial records Strong organizational and time-management skills with the ability to meet deadlines Effective verbal and written communication skills in English Ability to work independently while collaborating effectively with cross-functional teams Interest in financial analysis, budgeting, forecasting, and business performance reporting Eagerness to learn, grow professionally, and expand responsibilities beyond core accounting functions Benefits Social Insurance Medical Insurance Flexible Hours Performance Bonus Show more