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Description We're on the lookout for exceptional individuals to join our team as Senior Lead Data Engineers - Databricks. As part of our team, you'll play a key role in designing and delivering modern, scalable data platforms for clients across multiple industries, leveraging Azure and Databricks technologies. You will lead the design, development, and optimization of end-to-end data engineering solutions built on modern Lakehouse architectures. Working closely with clients and cross-functional teams, you'll translate business requirements into scalable, high-performance data platforms while mentoring engineers and driving technical excellence. Requirements Responsibilities Lead the design, development, and maintenance of scalable data engineering solutions using Azure and Databricks. Design and implement modern Lakehouse architectures following industry best practices. Build and optimize large-scale batch and streaming data pipelines. Develop ETL/ELT pipelines using Databricks, PySpark, SQL, and Azure Data Factory. Design, implement, and optimize Delta Lake solutions for reliable and performant data processing. Collaborate with clients to gather requirements and translate business needs into technical solutions. Optimize Spark workloads for performance, scalability, and cost efficiency. Design and maintain enterprise-grade Data Warehouses, Data Lakes, and Lakehouses. Implement data governance, security, and metadata management using Azure services such as Purview, Key Vault, and Microsoft Entra ID (Azure Active Directory). Establish CI/CD pipelines and DevOps practices for data engineering workloads. Mentor and coach junior data engineers while promoting engineering best practices. Participate in architecture discussions, solution design, and technical leadership initiatives. Contribute to internal knowledge sharing and continuous improvement. Requirements Required 10+ years of professional experience in Data Engineering. 4+ years of hands-on experience with Databricks. Strong experience developing data pipelines using PySpark and Apache Spark. Strong experience designing and implementing Lakehouse architectures. Experience working with Delta Lake and Medallion Architecture. Strong knowledge of SQL and Python. Experience with Azure Data Factory. Experience working with Azure Data Lake Storage Gen2 (ADLS Gen2). Experience with Azure Synapse Analytics. Experience with Data Warehousing concepts and dimensional modeling. Strong understanding of ETL and ELT design patterns. Experience optimizing Spark jobs, partitioning strategies, joins, caching, and workload performance. Experience with Git and Azure DevOps CI/CD pipelines. Experience implementing secure data platforms using Azure Key Vault, Microsoft Entra ID, and Microsoft Purview. Experience building scalable enterprise data platforms in Azure. Experience working directly with clients and gathering technical requirements. Experience mentoring engineers and leading technical initiatives. Strongly Preferred Experience with Snowflake. Experience building real-time streaming solutions using Structured Streaming, Kafka, or Event Hubs. Experience with Databricks Workflows. Experience with Delta Live Tables. Experience with Unity Catalog. Experience with Databricks SQL. Experience with MLflow. Experience with dbt. Experience with Airflow or other orchestration platforms. Experience working in Agile environments. Nice to Have MSc in Computer Science or a related field. Experience with DataOps practices. Experience with MLOps. Experience with Azure Machine Learning. Experience with Azure Cognitive Services. Experience with Docker and Kubernetes. Experience working with Microsoft Fabric. Experience with Power BI. Technical Skills Core Technologies Azure Databricks Apache Spark PySpark SQL Python Delta Lake Azure Data Factory Azure Synapse Analytics ADLS Gen2 Snowflake Data Engineering Data Warehousing Data Lakes Lakehouse Architecture Medallion Architecture Dimensional Modeling ETL / ELT Batch Processing Streaming Data Pipelines Data Governance Performance Optimization Azure Ecosystem Azure DevOps Microsoft Purview Azure Key Vault Microsoft Entra ID Azure Functions Event Hubs Nice-to-Have Technologies Kafka Airflow dbt MLflow Docker Kubernetes Power BI Benefits Salary paid in USD Six-month career advancing opportunities Supportive and friendly work environment Premium medical insurance [employee +family] English language development courses Interest-free loans paid over 2.5 years Technical development courses Planned overtime program (POP) Employment referral program Premium location in Maadi Social insurance Show more

Job Overview We are looking for an experienced Senior Software Quality Engineer with at least 5 years of total software testing experience to join our QC Department. The ideal candidate will have strong hands-on experience in manual testing across web applications, APIs, and databases, along with solid expertise in API and UI test automation using Java-based technologies. The candidate will contribute to test strategy, automation framework development, quality risk identification, and collaboration with development, product, and business teams throughout the software development lifecycle. Key Responsibilities Review requirements, user stories, and acceptance criteria to identify test scenarios and quality risks. Design and execute manual tests for web applications, APIs, and databases. Perform functional, integration, regression, smoke, exploratory, and end-to-end testing. Develop and maintain UI automation tests using Selenium WebDriver, Java, and TestNG. Develop and maintain API automation tests using REST Assured, Java, and TestNG. Validate REST APIs using Postman and automated API testing frameworks. Perform database validation using SQL queries. Execute performance tests and analyze performance results. Report, track, retest, and manage defects throughout their lifecycle. Maintain test plans, test cases, test data, and execution reports. Integrate automated tests with CI/CD pipelines. Participate in Agile ceremonies and provide clear testing progress and risk updates. Support junior quality engineers and promote testing best practices. Required Qualifications Bachelor’s degree in Computer Science, Information Technology, or a related field. At least 5 years of experience in software quality control and testing. Strong manual testing experience across web applications, REST APIs, and databases. At least 2 years of experience in UI and API automation. Between 6 months and 1 year of performance testing experience. Strong experience with Java, Selenium WebDriver, REST Assured, TestNG, Postman, SQL, and Git. Very Good understanding of REST APIs, automation frameworks, Agile methodologies, and CI/CD practices. Experience with Maven and automation script coding best practices and automation design patterns such as Page Object Model and Fluent. Familiarity with JMeter and containers. Experience with Jira, Azure DevOps, or similar test management and defect-tracking tools. Strong analytical, problem-solving, communication, and collaboration skills. ISTQB Foundation Level certification is mandatory. Preferred Qualifications Experience with Automation Frameworks such as Shaft Engine. Experience with CI/CD tools such as Azure DevOps. Technical Skills Programming Language: Java UI Automation: Selenium WebDriver API Automation: REST Assured Test Framework: TestNG API Testing: Postman Database Testing: SQL Build Tools: Maven Version Control: Git Testing Areas: Web, API, Database, UI Automation, API Automation, and Performance Testing Show more

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 10.000 employees in more than 200 locations worldwide. For the better. Together. The Sales Manager is responsible for overseeing and guiding the team to achieve departmental goals, ensuring alignment with the company’s strategic objectives and products. This role focuses on optimizing sales processes, driving continuous improvement, and fostering a collaborative work environment to meet and exceed sales business targets. Preferable knowledge in the following verticals: Healthcare, FMCG, Fashion, Automotive and Industrial. 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

At PwC, our people in software and product innovation focus on developing cutting-edge software solutions and driving product innovation to meet the evolving needs of clients. These individuals combine technical experience with creative thinking to deliver innovative software products and solutions. Those in software engineering at PwC will focus on developing innovative software solutions to drive digital transformation and enhance business performance. In this field, you will use your knowledge to design, code, and test cutting-edge applications that revolutionise industries and deliver exceptional user experiences. Driven by curiosity, you are a reliable, contributing member of a team. In our fast-paced environment, you are expected to adapt to working with a variety of clients and team members, each presenting varying challenges and scope. Every experience is an opportunity to learn and grow. You are expected to take ownership and consistently deliver quality work that drives value for our clients and success as a team. As you navigate through the Firm, you build a brand for yourself, opening doors to more opportunities. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Apply a learning mindset and take ownership for your own development. Appreciate diverse perspectives, needs, and feelings of others. Adopt habits to sustain high performance and develop your potential. Actively listen, ask questions to check understanding, and clearly express ideas. Seek, reflect, act on, and give feedback. Gather information from a range of sources to analyse facts and discern patterns. Commit to understanding how the business works and building commercial awareness. Learn and apply professional and technical standards (e.g. refer to specific PwC tax and audit guidance), uphold the Firm's code of conduct and independence requirements. Show more

We are seeking a skilled and experienced Principal DevOps/SysOps Engineer to join our innovative team. The ideal candidate possesses a strong knowledge in Linux Servers administration, Managing clusters, monitoring tools, containerization (Docker and Kubernetes), cloud platforms (AWS, Azure, Google), infrastructure-as-code (Terraform and Ansible), and scripting languages using Bash and Python. If you are a seasoned professional with a deep understanding of the software development lifecycle, we invite you to apply and contribute to our dynamic and collaborative environment. If you are a passionate and experienced Principal DevOps/SysOps Engineer with a comprehensive skill set, including expertise in Linux, we encourage you to apply and contribute to our cutting-edge projects and initiatives. Responsibilities: Deploy, configure, and maintain Linux and Windows servers across physical and virtual environments Strong knowledge of HPC cluster management, job scheduling systems like SLURM or Run:AI Hands on experience of Docker containers and Kubernetes, implementation, administration and optimization within complex large scale environments Proven experience as a DevOps Engineer with a focus on CI/CD, containerization, GitOps and cloud technologies Proficiency in scripting languages such as Bash, Python for automation and performance tuning Experience with high-speed interconnects (Infiniband, Ethernet), distributed storage systems, and cluster networking Configure and maintain firewalls, load balancers, and VPNs Proven ability to troubleshoot complex system and networking issues in large-scale clusters Install and utilize monitoring tools to ensure the health, performance, and security of systems Worked with at least one major cloud provider (AWS, Azure, or Google) to deploy and manage cloud-based solutions Apply knowledge of cybersecurity best practices to enhance the security posture of systems Utilize infrastructure-as-code tools like Terraform and Ansible for efficient and reproducible infrastructure deployment Possess a good understanding of the software development lifecycle to collaborate effectively with development teams Requirements Bachelor's degree in Computer Science, Information Technology, or a related field with 5+ years of experience Proven experience as a DevOps Engineer with a focus on CI/CD, containerization, and cloud technologies Strong knowledge and hands-on experience with Docker containers and Kubernetes Interaction with at least one major cloud provider (AWS, Azure, or Google) Understanding and application of cybersecurity principles Proficiency in infrastructure-as-code tools like Terraform and Ansible Excellent scripting skills in Bash and Python Familiarity with the software development lifecycle Strong knowledge of Linux operating systems Preferred Experience: CKA/CKAD/CKS certification Certifications in relevant DevOps, cloud, and cybersecurity domains Additional scripting languages and automation tool proficiency Active participation in community forums or open-source projects Benefits Salary paid in USD Six-month career advancing opportunities Employee parking space Supportive and friendly work environment Premium medical insurance [employee +family] English language development courses Interest-free loans paid over 2.5 years Technical development courses Planned overtime program (POP) Employment referral program Premium location in Maadi Social insurance Show more

Job Purpose The Senior Client Data Analyst serves as the strategic bridge between Finance, Treasury, and Operations, ensuring the integrity of the revenue cycle through advanced data architecture and predictive analytics. Reporting to the Treasury Manager, this role is essential for mitigating financial risk, optimizing working capital, and driving the digital transformation of client-facing financial processes. Responsibilities/Duties Profil de candidat recherché : Advanced Financial Analytics & Risk Mitigation Lead the analysis of client communications, case histories, and dispute patterns to proactively identify systemic risks and root causes of payment delays. Monitor and analyze complex aging receivables and cash-in data to ensure ledger accuracy and facilitate early detection of credit risks. Evaluate client payment behaviors and historical trends to provide actionable insights that optimize collection strategies and minimize bad debt exposure. Audit the e-invoice lifecycle including issuance, acceptance, and rejection phases to streamline the billing workflow and prevent downstream collection bottlenecks. Strategic Reporting & Digital Transformation Architect and automate analytical dashboards (e.g., Power BI, Tableau) that provide real-time visibility into receivables and collection KPIs. Design integrated monitoring systems for back-to-back invoicing to track the full financial lifecycle from supplier cash-out to client cash-in. Engineer data-driven forecasting models that provide the Treasury department with high-precision inputs for global cash flow planning. Innovate reporting frameworks by migrating manual data sets into scalable, automated cloud-based environments to enhance organizational agility. Cross-Functional Leadership & Operational Excellence Reconcile high-volume client data across Finance, Treasury, and Operations, spearheading process improvements where data silos or discrepancies are identified. Spearhead data-driven presentations for senior management, banking partners, and key stakeholders to support high-stakes financial negotiations and audits. Direct on-site communications and client-facing meetings by providing empirical evidence to resolve complex disputes and strengthen commercial relationships. Advise the Treasury Manager on day-to-day liquidity shifts and operational tasks, serving as a technical subject matter expert for the broader finance team. Safety Responsibilities Promote a positive safety culture within the workplace and attend any safety-related meetings or briefings as required within the job role. Comply with the requirements of RDMC RQHSE Policy and Safety Management System. Be mindful that Safety, Security, and Environmental protection are everyone’s responsibility. All staff members are accountable for reporting and intervening in any Safety, Security, or Environmental violations. Qualifications ESSENTIAL QUALIFICATIONS, KNOWLEDGE & EXPERIENCE Bachelor’s degree in Finance, Data Science, or Business Administration. Professional certification in data visualization (e.g., Microsoft Certified: Power BI Data Analyst Associate) or finance (e.g. CMA) is an advantage. Knowledge Advanced command of Power BI (DAX/Power Query), SQL, and ERP systems (SAP, Oracle, or Microsoft Dynamics 365), is an advantage. Deep understanding of Accounts Receivable (AR) lifecycles, GAAP/IFRS standards, and e-invoicing regulatory frameworks. Deep knowledge of data privacy laws. Experience 5–7 years of progressive experience in financial data analysis, revenue operations, or treasury analytics. Desired Behaviors & Experiences Proven track record of transforming "raw data" into clean, executive-ready narratives that drive decision-making. Ability to challenge the status quo and influence cross-functional stakeholders without direct authority. A forward-thinking approach to AI and Machine Learning applications in predictive financial modeling. High emotional intelligence when managing complex client disputes or high-pressure month-end closing cycles. High level of professionalism, ethical conduct, and integrity. Show more