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Join a prominent Talent Acquisition Consultancy as a Landscape Architect, specializing in FEED (Front-End Engineering Design). We are looking for a talented professional to enhance our innovative design team. In this pivotal role, you will conceptualize, develop, and implement cutting-edge landscape designs for extensive infrastructure and development projects. Your expertise will be crucial during the early design phases, ensuring alignment with project objectives, sustainability benchmarks, and client expectations.
The ideal candidate will possess a robust background in landscape architecture and design, with hands-on experience in FEED development. You will collaborate with multidisciplinary teams to elevate projects from initial concepts to detailed design execution.
Join a prominent Talent Acquisition Consultancy as a Landscape Architect, specializing in FEED (Front-End Engineering Design). We are looking for a talented professional to enhance our innovative design team. In this pivotal role, you will conceptualize, develop, and implement cutting-edge landscape designs for extensive infrastructure and development projec…
Join klivvr as a Solutions Architect where you will be at the forefront of designing innovative technology solutions that meet our clients' needs. In this role, you will collaborate with cross-functional teams to understand business requirements and translate them into technical architectures. Your expertise will help us drive digital transformation and enhance operational efficiency for our clients.
Role overview The IT Solution Architect - Pre-Sales at Help AG in Cairo focuses on identifying new business opportunities and presenting a portfolio of security solutions to both existing clients and new prospects. This position involves preparing technical materials for proposals and RFPs, supporting the sales process from initial engagement through post-implementation, and ensuring solutions align with client requirements during Proof of Concept stages. Main responsibilities Identify business opportunities and introduce Help AG’s security solutions to customers and prospects. Prepare technical content for proposals and RFP responses. Lead Proof of Concept projects, making sure solutions address client needs and expectations. Support customer success after implementation by working with delivery teams and uncovering further sales opportunities, such as cross-selling and up-selling. Conduct technical workshops, assessments, and solution demonstrations to help clients evaluate options and support adoption. Collaborate with sales, delivery, and vendor teams to ensure proposals are technically accurate, competitive, and tailored to customer needs and industry standards. Contribute to the company’s growth in the market with a focus on sales performance. Location This role is based in Cairo, Al Qāhirah, Egypt.
At b_labs, the innovation and digitization division of B.TECH, we are on a transformative journey to revolutionize the consumer electronics and appliances industry. As a pivotal player in the Egyptian retail landscape, we are committed to establishing B.TECH as the premier omni-channel platform in Egypt. Joining our team means immersing yourself in a dynamic startup culture while benefiting from the stability of a well-established organization with a consistent growth trajectory. You will collaborate with a forward-thinking, customer-centric team dedicated to pioneering digital retail solutions across the Middle East.Key Responsibilities:Partnering with business leaders to devise innovative strategies that meet organizational objectives using advanced techniques and tools.Clearly conveying analytical methodologies and their alignment with business goals to stakeholders.Promoting the significance of data-driven decision-making, emphasizing the rationale and methodologies behind effective problem-solving.Leading analytical initiatives and integrating efforts with data engineers, business leads, analysts, and developers to enhance tools and applications.Developing robust, interpretable, and scalable models that are seamlessly integrated into analytic data products.Sharing your enthusiasm for data science within the wider enterprise, while establishing long-term processes, frameworks, tools, and standards.Engaging with external thought leaders through conferences and community events to stay at the forefront of industry innovations.
Job Overview: As a System Design / Solution Architect, you will be responsible for crafting robust system architectures and technical solutions that prioritize scalability, stability, and security, ensuring alignment with business objectives.Core Responsibilities: Develop high-level and low-level design architectures for systems and applications. Assess project requirements and convert them into actionable architectural solutions. Establish design standards and oversee technical governance. Architect system and service integrations, including APIs. Evaluate technical decisions and review deliverables from the development team. Collaborate with implementation teams to navigate and resolve architectural challenges. Maintain documentation of architecture and technical diagrams.
Join our dynamic team as a Cloud Transformation Architect, specializing in cloud solutions across major platforms such as AWS, Azure, and Google Cloud Platform (GCP). This fully remote position allows you to collaborate with clients to drive innovation and implement sustainable digital transformations.Key Responsibilities:Architect and design cloud solutions to meet business needs.Automate processes within cloud environments, leveraging tools from AWS, Azure, or GCP.Utilize DevOps pipeline tools like Azure DevOps, GitLab, GitHub, or Jenkins.Lead teams in developing high-level models and visualizations.Contribute to the design of container-based solutions and enterprise-level architecture.
About the Role:The Multi-Cloud Solutions Architect for Presales is pivotal in driving our business forward by securing new ventures. This position demands comprehensive knowledge of multi-cloud frameworks and platforms such as AWS, Azure, and GCP. The ideal candidate will not only possess technical expertise but also excel in delivering engaging presentations and acting as a reliable consultant for prospective clients. Responsibilities include transforming intricate technical specifications into persuasive value propositions and tailored solutions that meet client needs while ensuring compliance with all applicable security and regulatory standards.Key Responsibilities:Solution Design & Development: Craft and design robust, scalable, and secure multi-cloud solutions that align with unique client specifications, involving the selection of suitable cloud services and integration methodologies.Presales Support: Serve as the technical lead throughout the presales journey, collaborating with sales teams to evaluate opportunities, formulate proposals, and conduct captivating presentations and demos.Technical Expertise: Maintain a comprehensive understanding of various cloud platforms (AWS, Azure, GCP) and associated technologies, including cloud security, networking, DevOps, and data management. Remain updated with emerging trends and best practices in cloud technology.Client Engagement: Foster relationships with potential clients, comprehend their business challenges and technical needs, and effectively communicate the value of proposed solutions to key stakeholders.Proposal Development: Aid in crafting high-quality proposals that include technical descriptions, architecture diagrams, and cost assessments, ensuring that all submissions are technically sound and competitive.Compliance & Security: Guarantee that all proposed solutions adhere to relevant regulations and security standards (e.g., NCSC guidelines, GDPR). Showcase a strong grasp of these regulations to clients.Collaboration: Partner with internal teams, including sales, delivery, and engineering, to ensure a smooth transition of projects and successful execution.Market Awareness: Stay abreast of market developments, competitor offerings, and new technologies in the multi-cloud domain, particularly within the UK public sector.Thought Leadership: Engage in thought leadership initiatives, including writing articles, blog posts, and speaking at industry events.
Job Overview: We are looking for a seasoned ServiceNow Technical Architect with extensive knowledge in IT Service Management (ITSM), IT Operations Management (ITOM), and IT Asset Management (ITAM). This pivotal role entails steering the technical architecture, solution design, and comprehensive delivery of intricate ServiceNow implementations and integrations. The ideal candidate will possess a robust background in enterprise IT architecture and a demonstrable history of delivering scalable ServiceNow solutions that align with ITIL best practices and business objectives.Key Responsibilities: Define and architect ServiceNow solutions across ITSM, ITOM, and ITAM modules to fulfill enterprise needs.Lead the technical strategy, roadmap planning, and architectural choices for ServiceNow deployments.Supervise solution design, configuration, customization, and integration tasks.Ensure technical governance and adherence to ServiceNow development best practices, coding standards, and platform functionalities.Work closely with business analysts, process consultants, and developers to translate functional requirements into effective technical solutions.Guide implementation teams through complex scenarios involving CMDB, Discovery, Event Management, Service Mapping, HAM/SAM, and more.Identify and mitigate technical risks while advising on platform scalability, performance, and security.Design and manage integrations between ServiceNow and external systems (including CMDB, monitoring tools, ERP, etc.) utilizing APIs (REST/SOAP), MID servers, and data sources.Review and validate technical documentation, architecture diagrams, and deployment plans.Lead troubleshooting and root cause analysis for performance and platform issues.Stay updated on ServiceNow product enhancements, releases, and industry trends, proactively recommending improvements.
Join our dynamic team as an Azure Data Engineer, where you'll leverage your expertise to evaluate and transform complex data sources, both SAP and non-SAP, into actionable business insights. Your role will involve developing and integrating these data sources into our cutting-edge Azure Data platform, ensuring that our analytics capabilities stay ahead of the curve. Key Responsibilities:• Conduct in-depth analyses of structured, semi-structured, and unstructured data sources to assess quality, completeness, and business impact.• Create, document, develop, implement, and test rapid prototypes demonstrating the value of data, showcasing your work to varied audiences.• Engage in early-stage design and feature definition processes.• Develop robust data pipelines using the Microsoft toolset and Databricks Stack, ensuring they are reusable and scalable.• Collaborate effectively with multidisciplinary engineering teams to integrate proven prototypes into production.
Enhancing Data Quality and Reliability:• Develop and implement advanced methodologies to boost the reliability and quality of data.• Integrate raw data from diverse sources to form consistent and machine-readable formats.Structural Development:• Design, develop, and test data structures that facilitate data extraction and transformation for predictive and prescriptive modeling.Process Definition:• Establish and oversee development, testing, release, update, and support processes for data engineering operations. Analyze and resolve code issues effectively.Big Data Models:• Create and optimize big data models and use cases based on the established data structure, preparing them for end-user data operations.Query Execution:• Formulate and execute queries on both structured and unstructured data sources to diagnose process issues and perform bulk updates.Feature Layer Development:• Design and implement the feature zone with essential features and KPIs required by various stakeholders, aiding in the construction of robust machine learning models.Batch Scheduling and Reporting:• Ensure accurate and timely batch production scheduling and report distribution.Ad Hoc Requests:• Address ad hoc requests from users, such as data research, file manipulation and transfer, as well as investigating process issues.
Role OverviewWe are seeking a highly skilled Data Engineer Team Lead to spearhead the design and validation of robust data pipelines, data structures, and cutting-edge big data solutions, including data lake platforms. This role is crucial for optimizing data search and retrieval processes within our organization. You will collaborate closely with data structure designers to establish a comprehensive enterprise data architecture.Key ResponsibilitiesEnhancing Data Quality and Reliability:* Develop and implement innovative strategies to enhance data reliability and quality.* Integrate raw data from diverse sources to produce consistent, machine-readable formats.Data Structure Development:* Lead the design and testing of data structures that facilitate effective data extraction and transformation for predictive and prescriptive analytics.Process Definition:* Establish and manage development, testing, release, and support processes for data engineering operations. Identify and rectify code bugs as necessary.Big Data Model Development:* Oversee the creation of big data models and use cases that are aligned with data structures, preparing them for seamless data operations.Query Execution:* Formulate and execute queries on both structured and unstructured data sources to diagnose process issues or conduct bulk updates.Feature Layer Implementation:* Direct the development and implementation of feature zones with essential features and KPIs requested by stakeholders to support robust machine learning models.Batch Scheduling and Reporting:* Ensure accuracy and timeliness in batch production scheduling and report distribution.Data Transformation Management:* Design and oversee processes that support data transformation, data structures, metadata management, dependency tracking, and workload management.Required Competencies* Performance Excellence* Leadership & Empowerment* Collaboration & Synergy Creation* Agility & Resilience* Innovation & Digital Transformation* Strategic Thinking* People-Centric ApproachTechnical Skills* Strong proficiency in Java, C#, and Python for application development.* Extensive experience with Cloudera or comparable big data platforms, including services like Apache Hive, Apache Scala, BizSpark, Impala, Apache Spark, Data Security, Kafka, HBase, Sqoop, NiFi, and Python for programming and data analysis.* Expertise in handling and processing large datasets using distributed computing frameworks.* Advanced SQL skills for querying and managing relational databases.* Comprehensive understanding of data warehousing principles and best practices.* Proficiency in data analysis and visualization tools.
Join EVA Pharma, a pioneering pharmaceutical organization committed to championing Health and well-being as a fundamental human right. Proudly recognized as a top employer, we are dedicated to cultivating a nurturing and innovative atmosphere for our team.Job Overview:We are on the lookout for a motivated and skilled Data Scientist II to enhance our vibrant team. The successful candidate will play a pivotal role in our efforts to improve human health and well-being while maintaining the highest standards of excellence in our field.Key Duties:Gather, cleanse, and scrutinize both structured and unstructured datasets to extract insights and support data-driven decision-making. Develop and validate predictive models and machine learning algorithms to tackle business and healthcare issues.Utilize advanced techniques such as large language models, fine-tuning, and retrieval-augmented generation to devise generative AI solutions in areas like drug discovery, clinical research, and patient engagement.Perform statistical analyses, identify significant patterns and correlations, and design experiments to test hypotheses and assess impact.Convert analytical results into concise, actionable insights through Power BI dashboards and visual reports that guide strategic and operational decisions.Keep abreast of emerging AI and ML technologies, apply contemporary data science tools to boost efficiency, and collaborate with data engineers to deploy and enhance production-ready models.
Job Overview:We are on the lookout for a talented and driven Data Integration Specialist to architect, develop, and maintain scalable ETL (Extract, Transform, Load) solutions across our enterprise data platforms. The ideal candidate will possess robust expertise in ETL tools, SQL, and shell scripting, alongside practical experience in integrating significant data volumes from various source systems into comprehensive enterprise data warehouses. Familiarity with Hadoop, Massively Parallel Processing (MPP) systems, and Unix/Linux environments will be considered a strong advantage.Key Responsibilities:Gather and analyze ETL requirements from both business and technical stakeholders, translating them into effective data integration solutions.Create, develop, and sustain ETL workflows and data pipelines for the seamless loading of data from various sources into Data Warehouses and Data Marts.Guarantee data quality, accuracy, and timeliness, while complying with predefined SLAs and performance standards.Enhance existing data integration processes for improved performance, scalability, and resource efficiency.Diagnose and resolve ETL and data loading challenges in collaboration with other data and infrastructure teams.Offer mentorship and support to junior developers, fostering knowledge sharing within the team.Develop and maintain thorough technical documentation for data integration processes, design choices, and operational practices.
Role OverviewAs a Senior Data Engineer specializing in Machine Learning (ML) and Artificial Intelligence (AI), you will be instrumental in developing and sustaining data pipelines tailored for ML/AI applications. Your efforts will focus on managing extensive datasets, including unstructured and semi-structured information, to ensure our analytics and machine learning initiatives are grounded in high-quality data.Your ResponsibilitiesDesign, implement, and optimize data pipelines specifically for ML/AI scenarios, ensuring effective handling of large-scale datasets.Construct feature pipelines and feature stores that promote data reusability and consistency for machine learning models.Work closely with Data Scientists and ML Engineers to clarify data needs for model training, validation, and deployment.Guarantee that data quality, lineage, and governance adhere to the standards necessary for AI/ML applications.Facilitate MLOps practices by integrating data pipelines into model training, monitoring, and deployment processes.Utilize distributed processing frameworks (e.g., Spark, Databricks, Azure Synapse) for scalable ML data processing.
Role Overview PetroApp is seeking a Lead Data Engineer in Cairo to shape and advance the company’s data capabilities. This senior role influences PetroApp’s data strategy, working across analytics, business intelligence, engineering, governance, and advanced analytics. The Lead Data Engineer partners closely with Product, Engineering, Operations, Commercial, Finance, and Leadership to position data as a strategic asset for the company. This position focuses on building a solid data foundation, establishing KPIs, and enabling data-driven decisions. Key applications include transaction analytics, customer growth, fraud detection, operational improvements, and unit economics. Main Responsibilities Define and guide PetroApp’s data strategy, roadmap, and operational approach. Develop and scale data infrastructure for ingestion, transformation, modeling, warehousing, and self-service analytics. Establish a single source of truth for essential business and product metrics. Work with Product and Engineering to improve instrumentation, event tracking, experimentation, and measurement. Partner with Commercial, Operations, Finance, and Leadership to deliver actionable insights and clear dashboards. Design KPI frameworks covering customer growth, retention, transaction performance, service adoption, operational efficiency, fraud prevention, and profitability. Build dashboards, reporting layers, and analytical models that support daily operations and long-term strategy. Implement data governance practices, including quality checks, lineage tracking, documentation, access controls, and privacy compliance. Identify and prioritize advanced analytics use cases such as forecasting, anomaly detection, and process automation. Conduct root-cause analysis on business or operational challenges and translate findings into practical strategies. Recruit, mentor, and develop a high-performing data team over time. Champion a strong data culture throughout PetroApp.
Envision Employment Solutions is on the lookout for a skilled Data Operations and Support Engineer to join our esteemed partner, a renowned global leader in IT Services and Consulting.Job SummaryThe Data Operations and Support Engineer will play a crucial role in ensuring the seamless operation and support of enterprise data platforms and integrations. This includes monitoring, troubleshooting, and maintaining production workflows across various systems such as SAP PO, Informatica, and Cloudera, while upholding data integrity and ensuring timely issue resolution.Key ResponsibilitiesOversee the end-to-end implementation of data strategies to support enterprise data management functions.Utilize supporting tools and logs to identify and present root causes of data issues across different functions.Manage the processes of production data operations, deployments, documentation, and data population to ensure compliance with corporate data management standards.Collaborate closely with data functions to ensure all support processes adhere to bank policies, internal controls, data protection legislation, and relevant industry standards.Identify opportunities for process efficiency and improvement, proposing and implementing data automation initiatives.Foster strong collaborative relationships with internal stakeholders, subject matter experts, clients, and vendors.Implement and oversee data backup, restore, and archiving solutions.Ensure data availability throughout its lifecycle.Monitor and manage the performance of data solutions, layers, and transactions.Align database standards from DBA to data support requirements across management layers.Support new data products and participate in new project initiatives.
Join our dynamic team as a Data Analyst specializing in home appliances! We are looking for a meticulous and insightful professional to enhance our data-driven strategies and support critical business operations. The ideal candidate will possess strong analytical capabilities to collect, interpret, and analyze diverse data sets, providing actionable insights that will drive operational efficiency, profitability, and strategic growth.Key Responsibilities: Gather, clean, and analyze extensive datasets from various internal and external sources. Assess business trends and performance metrics utilizing statistical tools and data visualization methods. Produce regular and on-demand reports to aid management in decision-making processes. Collaborate with cross-functional teams (Sales, Operations, Finance, Procurement) to identify opportunities and enhance processes. Design and develop dashboards and KPIs using tools such as Power BI, Tableau, or Excel. Create predictive models to assist with forecasting and demand planning. Maintain data accuracy and integrity across all reporting platforms. Clearly present findings and recommendations to stakeholders. Qualifications: Bachelor’s degree in Data Science, Statistics, Computer Science, Business Analytics, or a related field. Minimum of 2 to 4 years of experience as a Data Analyst, preferably within the home appliances sector. Proficient in SQL, Microsoft Excel, and data visualization tools (e.g., Power BI, Tableau). Familiarity with Python or R for data analysis is advantageous. Strong analytical and problem-solving skills with exceptional attention to detail. Excellent communication and presentation skills in English; proficiency in Arabic is a plus.
Join our dynamic team at ssc-hr as a Data Scientist Project Manager where you will spearhead the execution of innovative AI and data-driven projects. This pivotal role requires you to manage and coordinate cross-functional teams including data scientists, machine learning engineers, and developers to drive the successful implementation of various AI tools.Your expertise in agile methodologies and modern project management tools such as Click Up and Jira will be essential as you lead daily stand-ups, sprint planning, and retrospectives, ensuring continuous improvement in project delivery.
We are seeking a highly analytical and results-driven Senior Growth Analyst to join our dynamic team at klivvr. In this pivotal role, you will analyze market trends, identify growth opportunities, and implement strategies that drive business expansion. You will collaborate closely with cross-functional teams to optimize our growth initiatives and enhance customer engagement. Your data-driven insights will play a crucial role in shaping our strategic decisions and fostering long-term success.
Full-time|On-site|Al Shorouk City, El Shorouk, Egypt
Envision Employment Solutions is on the lookout for a talented Business Intelligence Data Developer to join one of our esteemed partners, a prominent player in the IT Services and IT Consulting sector.In this role, you will take charge of leading the design, analysis, and development of reports and dashboards tailored for various internal banking departments including Finance, Risk, and Marketing. You will utilize statistical tools and data visualization techniques to uncover and communicate meaningful trends to diverse audiences, while also identifying variances, risks, and opportunities to support strategic decision-making.Key responsibilities include ensuring all documentation adheres to corporate standards, handling data ethically, and fostering a data-driven culture within the organization. You will collaborate closely with senior stakeholders and subject matter experts to build robust analytical capabilities across the business.
Join a prominent Talent Acquisition Consultancy as a Landscape Architect, specializing in FEED (Front-End Engineering Design). We are looking for a talented professional to enhance our innovative design team. In this pivotal role, you will conceptualize, develop, and implement cutting-edge landscape designs for extensive infrastructure and development projec…
Join klivvr as a Solutions Architect where you will be at the forefront of designing innovative technology solutions that meet our clients' needs. In this role, you will collaborate with cross-functional teams to understand business requirements and translate them into technical architectures. Your expertise will help us drive digital transformation and enhance operational efficiency for our clients.
Role overview The IT Solution Architect - Pre-Sales at Help AG in Cairo focuses on identifying new business opportunities and presenting a portfolio of security solutions to both existing clients and new prospects. This position involves preparing technical materials for proposals and RFPs, supporting the sales process from initial engagement through post-implementation, and ensuring solutions align with client requirements during Proof of Concept stages. Main responsibilities Identify business opportunities and introduce Help AG’s security solutions to customers and prospects. Prepare technical content for proposals and RFP responses. Lead Proof of Concept projects, making sure solutions address client needs and expectations. Support customer success after implementation by working with delivery teams and uncovering further sales opportunities, such as cross-selling and up-selling. Conduct technical workshops, assessments, and solution demonstrations to help clients evaluate options and support adoption. Collaborate with sales, delivery, and vendor teams to ensure proposals are technically accurate, competitive, and tailored to customer needs and industry standards. Contribute to the company’s growth in the market with a focus on sales performance. Location This role is based in Cairo, Al Qāhirah, Egypt.
At b_labs, the innovation and digitization division of B.TECH, we are on a transformative journey to revolutionize the consumer electronics and appliances industry. As a pivotal player in the Egyptian retail landscape, we are committed to establishing B.TECH as the premier omni-channel platform in Egypt. Joining our team means immersing yourself in a dynamic startup culture while benefiting from the stability of a well-established organization with a consistent growth trajectory. You will collaborate with a forward-thinking, customer-centric team dedicated to pioneering digital retail solutions across the Middle East.Key Responsibilities:Partnering with business leaders to devise innovative strategies that meet organizational objectives using advanced techniques and tools.Clearly conveying analytical methodologies and their alignment with business goals to stakeholders.Promoting the significance of data-driven decision-making, emphasizing the rationale and methodologies behind effective problem-solving.Leading analytical initiatives and integrating efforts with data engineers, business leads, analysts, and developers to enhance tools and applications.Developing robust, interpretable, and scalable models that are seamlessly integrated into analytic data products.Sharing your enthusiasm for data science within the wider enterprise, while establishing long-term processes, frameworks, tools, and standards.Engaging with external thought leaders through conferences and community events to stay at the forefront of industry innovations.
Job Overview: As a System Design / Solution Architect, you will be responsible for crafting robust system architectures and technical solutions that prioritize scalability, stability, and security, ensuring alignment with business objectives.Core Responsibilities: Develop high-level and low-level design architectures for systems and applications. Assess project requirements and convert them into actionable architectural solutions. Establish design standards and oversee technical governance. Architect system and service integrations, including APIs. Evaluate technical decisions and review deliverables from the development team. Collaborate with implementation teams to navigate and resolve architectural challenges. Maintain documentation of architecture and technical diagrams.
Join our dynamic team as a Cloud Transformation Architect, specializing in cloud solutions across major platforms such as AWS, Azure, and Google Cloud Platform (GCP). This fully remote position allows you to collaborate with clients to drive innovation and implement sustainable digital transformations.Key Responsibilities:Architect and design cloud solutions to meet business needs.Automate processes within cloud environments, leveraging tools from AWS, Azure, or GCP.Utilize DevOps pipeline tools like Azure DevOps, GitLab, GitHub, or Jenkins.Lead teams in developing high-level models and visualizations.Contribute to the design of container-based solutions and enterprise-level architecture.
About the Role:The Multi-Cloud Solutions Architect for Presales is pivotal in driving our business forward by securing new ventures. This position demands comprehensive knowledge of multi-cloud frameworks and platforms such as AWS, Azure, and GCP. The ideal candidate will not only possess technical expertise but also excel in delivering engaging presentations and acting as a reliable consultant for prospective clients. Responsibilities include transforming intricate technical specifications into persuasive value propositions and tailored solutions that meet client needs while ensuring compliance with all applicable security and regulatory standards.Key Responsibilities:Solution Design & Development: Craft and design robust, scalable, and secure multi-cloud solutions that align with unique client specifications, involving the selection of suitable cloud services and integration methodologies.Presales Support: Serve as the technical lead throughout the presales journey, collaborating with sales teams to evaluate opportunities, formulate proposals, and conduct captivating presentations and demos.Technical Expertise: Maintain a comprehensive understanding of various cloud platforms (AWS, Azure, GCP) and associated technologies, including cloud security, networking, DevOps, and data management. Remain updated with emerging trends and best practices in cloud technology.Client Engagement: Foster relationships with potential clients, comprehend their business challenges and technical needs, and effectively communicate the value of proposed solutions to key stakeholders.Proposal Development: Aid in crafting high-quality proposals that include technical descriptions, architecture diagrams, and cost assessments, ensuring that all submissions are technically sound and competitive.Compliance & Security: Guarantee that all proposed solutions adhere to relevant regulations and security standards (e.g., NCSC guidelines, GDPR). Showcase a strong grasp of these regulations to clients.Collaboration: Partner with internal teams, including sales, delivery, and engineering, to ensure a smooth transition of projects and successful execution.Market Awareness: Stay abreast of market developments, competitor offerings, and new technologies in the multi-cloud domain, particularly within the UK public sector.Thought Leadership: Engage in thought leadership initiatives, including writing articles, blog posts, and speaking at industry events.
Job Overview: We are looking for a seasoned ServiceNow Technical Architect with extensive knowledge in IT Service Management (ITSM), IT Operations Management (ITOM), and IT Asset Management (ITAM). This pivotal role entails steering the technical architecture, solution design, and comprehensive delivery of intricate ServiceNow implementations and integrations. The ideal candidate will possess a robust background in enterprise IT architecture and a demonstrable history of delivering scalable ServiceNow solutions that align with ITIL best practices and business objectives.Key Responsibilities: Define and architect ServiceNow solutions across ITSM, ITOM, and ITAM modules to fulfill enterprise needs.Lead the technical strategy, roadmap planning, and architectural choices for ServiceNow deployments.Supervise solution design, configuration, customization, and integration tasks.Ensure technical governance and adherence to ServiceNow development best practices, coding standards, and platform functionalities.Work closely with business analysts, process consultants, and developers to translate functional requirements into effective technical solutions.Guide implementation teams through complex scenarios involving CMDB, Discovery, Event Management, Service Mapping, HAM/SAM, and more.Identify and mitigate technical risks while advising on platform scalability, performance, and security.Design and manage integrations between ServiceNow and external systems (including CMDB, monitoring tools, ERP, etc.) utilizing APIs (REST/SOAP), MID servers, and data sources.Review and validate technical documentation, architecture diagrams, and deployment plans.Lead troubleshooting and root cause analysis for performance and platform issues.Stay updated on ServiceNow product enhancements, releases, and industry trends, proactively recommending improvements.
Join our dynamic team as an Azure Data Engineer, where you'll leverage your expertise to evaluate and transform complex data sources, both SAP and non-SAP, into actionable business insights. Your role will involve developing and integrating these data sources into our cutting-edge Azure Data platform, ensuring that our analytics capabilities stay ahead of the curve. Key Responsibilities:• Conduct in-depth analyses of structured, semi-structured, and unstructured data sources to assess quality, completeness, and business impact.• Create, document, develop, implement, and test rapid prototypes demonstrating the value of data, showcasing your work to varied audiences.• Engage in early-stage design and feature definition processes.• Develop robust data pipelines using the Microsoft toolset and Databricks Stack, ensuring they are reusable and scalable.• Collaborate effectively with multidisciplinary engineering teams to integrate proven prototypes into production.
Enhancing Data Quality and Reliability:• Develop and implement advanced methodologies to boost the reliability and quality of data.• Integrate raw data from diverse sources to form consistent and machine-readable formats.Structural Development:• Design, develop, and test data structures that facilitate data extraction and transformation for predictive and prescriptive modeling.Process Definition:• Establish and oversee development, testing, release, update, and support processes for data engineering operations. Analyze and resolve code issues effectively.Big Data Models:• Create and optimize big data models and use cases based on the established data structure, preparing them for end-user data operations.Query Execution:• Formulate and execute queries on both structured and unstructured data sources to diagnose process issues and perform bulk updates.Feature Layer Development:• Design and implement the feature zone with essential features and KPIs required by various stakeholders, aiding in the construction of robust machine learning models.Batch Scheduling and Reporting:• Ensure accurate and timely batch production scheduling and report distribution.Ad Hoc Requests:• Address ad hoc requests from users, such as data research, file manipulation and transfer, as well as investigating process issues.
Role OverviewWe are seeking a highly skilled Data Engineer Team Lead to spearhead the design and validation of robust data pipelines, data structures, and cutting-edge big data solutions, including data lake platforms. This role is crucial for optimizing data search and retrieval processes within our organization. You will collaborate closely with data structure designers to establish a comprehensive enterprise data architecture.Key ResponsibilitiesEnhancing Data Quality and Reliability:* Develop and implement innovative strategies to enhance data reliability and quality.* Integrate raw data from diverse sources to produce consistent, machine-readable formats.Data Structure Development:* Lead the design and testing of data structures that facilitate effective data extraction and transformation for predictive and prescriptive analytics.Process Definition:* Establish and manage development, testing, release, and support processes for data engineering operations. Identify and rectify code bugs as necessary.Big Data Model Development:* Oversee the creation of big data models and use cases that are aligned with data structures, preparing them for seamless data operations.Query Execution:* Formulate and execute queries on both structured and unstructured data sources to diagnose process issues or conduct bulk updates.Feature Layer Implementation:* Direct the development and implementation of feature zones with essential features and KPIs requested by stakeholders to support robust machine learning models.Batch Scheduling and Reporting:* Ensure accuracy and timeliness in batch production scheduling and report distribution.Data Transformation Management:* Design and oversee processes that support data transformation, data structures, metadata management, dependency tracking, and workload management.Required Competencies* Performance Excellence* Leadership & Empowerment* Collaboration & Synergy Creation* Agility & Resilience* Innovation & Digital Transformation* Strategic Thinking* People-Centric ApproachTechnical Skills* Strong proficiency in Java, C#, and Python for application development.* Extensive experience with Cloudera or comparable big data platforms, including services like Apache Hive, Apache Scala, BizSpark, Impala, Apache Spark, Data Security, Kafka, HBase, Sqoop, NiFi, and Python for programming and data analysis.* Expertise in handling and processing large datasets using distributed computing frameworks.* Advanced SQL skills for querying and managing relational databases.* Comprehensive understanding of data warehousing principles and best practices.* Proficiency in data analysis and visualization tools.
Join EVA Pharma, a pioneering pharmaceutical organization committed to championing Health and well-being as a fundamental human right. Proudly recognized as a top employer, we are dedicated to cultivating a nurturing and innovative atmosphere for our team.Job Overview:We are on the lookout for a motivated and skilled Data Scientist II to enhance our vibrant team. The successful candidate will play a pivotal role in our efforts to improve human health and well-being while maintaining the highest standards of excellence in our field.Key Duties:Gather, cleanse, and scrutinize both structured and unstructured datasets to extract insights and support data-driven decision-making. Develop and validate predictive models and machine learning algorithms to tackle business and healthcare issues.Utilize advanced techniques such as large language models, fine-tuning, and retrieval-augmented generation to devise generative AI solutions in areas like drug discovery, clinical research, and patient engagement.Perform statistical analyses, identify significant patterns and correlations, and design experiments to test hypotheses and assess impact.Convert analytical results into concise, actionable insights through Power BI dashboards and visual reports that guide strategic and operational decisions.Keep abreast of emerging AI and ML technologies, apply contemporary data science tools to boost efficiency, and collaborate with data engineers to deploy and enhance production-ready models.
Job Overview:We are on the lookout for a talented and driven Data Integration Specialist to architect, develop, and maintain scalable ETL (Extract, Transform, Load) solutions across our enterprise data platforms. The ideal candidate will possess robust expertise in ETL tools, SQL, and shell scripting, alongside practical experience in integrating significant data volumes from various source systems into comprehensive enterprise data warehouses. Familiarity with Hadoop, Massively Parallel Processing (MPP) systems, and Unix/Linux environments will be considered a strong advantage.Key Responsibilities:Gather and analyze ETL requirements from both business and technical stakeholders, translating them into effective data integration solutions.Create, develop, and sustain ETL workflows and data pipelines for the seamless loading of data from various sources into Data Warehouses and Data Marts.Guarantee data quality, accuracy, and timeliness, while complying with predefined SLAs and performance standards.Enhance existing data integration processes for improved performance, scalability, and resource efficiency.Diagnose and resolve ETL and data loading challenges in collaboration with other data and infrastructure teams.Offer mentorship and support to junior developers, fostering knowledge sharing within the team.Develop and maintain thorough technical documentation for data integration processes, design choices, and operational practices.
Role OverviewAs a Senior Data Engineer specializing in Machine Learning (ML) and Artificial Intelligence (AI), you will be instrumental in developing and sustaining data pipelines tailored for ML/AI applications. Your efforts will focus on managing extensive datasets, including unstructured and semi-structured information, to ensure our analytics and machine learning initiatives are grounded in high-quality data.Your ResponsibilitiesDesign, implement, and optimize data pipelines specifically for ML/AI scenarios, ensuring effective handling of large-scale datasets.Construct feature pipelines and feature stores that promote data reusability and consistency for machine learning models.Work closely with Data Scientists and ML Engineers to clarify data needs for model training, validation, and deployment.Guarantee that data quality, lineage, and governance adhere to the standards necessary for AI/ML applications.Facilitate MLOps practices by integrating data pipelines into model training, monitoring, and deployment processes.Utilize distributed processing frameworks (e.g., Spark, Databricks, Azure Synapse) for scalable ML data processing.
Role Overview PetroApp is seeking a Lead Data Engineer in Cairo to shape and advance the company’s data capabilities. This senior role influences PetroApp’s data strategy, working across analytics, business intelligence, engineering, governance, and advanced analytics. The Lead Data Engineer partners closely with Product, Engineering, Operations, Commercial, Finance, and Leadership to position data as a strategic asset for the company. This position focuses on building a solid data foundation, establishing KPIs, and enabling data-driven decisions. Key applications include transaction analytics, customer growth, fraud detection, operational improvements, and unit economics. Main Responsibilities Define and guide PetroApp’s data strategy, roadmap, and operational approach. Develop and scale data infrastructure for ingestion, transformation, modeling, warehousing, and self-service analytics. Establish a single source of truth for essential business and product metrics. Work with Product and Engineering to improve instrumentation, event tracking, experimentation, and measurement. Partner with Commercial, Operations, Finance, and Leadership to deliver actionable insights and clear dashboards. Design KPI frameworks covering customer growth, retention, transaction performance, service adoption, operational efficiency, fraud prevention, and profitability. Build dashboards, reporting layers, and analytical models that support daily operations and long-term strategy. Implement data governance practices, including quality checks, lineage tracking, documentation, access controls, and privacy compliance. Identify and prioritize advanced analytics use cases such as forecasting, anomaly detection, and process automation. Conduct root-cause analysis on business or operational challenges and translate findings into practical strategies. Recruit, mentor, and develop a high-performing data team over time. Champion a strong data culture throughout PetroApp.
Envision Employment Solutions is on the lookout for a skilled Data Operations and Support Engineer to join our esteemed partner, a renowned global leader in IT Services and Consulting.Job SummaryThe Data Operations and Support Engineer will play a crucial role in ensuring the seamless operation and support of enterprise data platforms and integrations. This includes monitoring, troubleshooting, and maintaining production workflows across various systems such as SAP PO, Informatica, and Cloudera, while upholding data integrity and ensuring timely issue resolution.Key ResponsibilitiesOversee the end-to-end implementation of data strategies to support enterprise data management functions.Utilize supporting tools and logs to identify and present root causes of data issues across different functions.Manage the processes of production data operations, deployments, documentation, and data population to ensure compliance with corporate data management standards.Collaborate closely with data functions to ensure all support processes adhere to bank policies, internal controls, data protection legislation, and relevant industry standards.Identify opportunities for process efficiency and improvement, proposing and implementing data automation initiatives.Foster strong collaborative relationships with internal stakeholders, subject matter experts, clients, and vendors.Implement and oversee data backup, restore, and archiving solutions.Ensure data availability throughout its lifecycle.Monitor and manage the performance of data solutions, layers, and transactions.Align database standards from DBA to data support requirements across management layers.Support new data products and participate in new project initiatives.
Join our dynamic team as a Data Analyst specializing in home appliances! We are looking for a meticulous and insightful professional to enhance our data-driven strategies and support critical business operations. The ideal candidate will possess strong analytical capabilities to collect, interpret, and analyze diverse data sets, providing actionable insights that will drive operational efficiency, profitability, and strategic growth.Key Responsibilities: Gather, clean, and analyze extensive datasets from various internal and external sources. Assess business trends and performance metrics utilizing statistical tools and data visualization methods. Produce regular and on-demand reports to aid management in decision-making processes. Collaborate with cross-functional teams (Sales, Operations, Finance, Procurement) to identify opportunities and enhance processes. Design and develop dashboards and KPIs using tools such as Power BI, Tableau, or Excel. Create predictive models to assist with forecasting and demand planning. Maintain data accuracy and integrity across all reporting platforms. Clearly present findings and recommendations to stakeholders. Qualifications: Bachelor’s degree in Data Science, Statistics, Computer Science, Business Analytics, or a related field. Minimum of 2 to 4 years of experience as a Data Analyst, preferably within the home appliances sector. Proficient in SQL, Microsoft Excel, and data visualization tools (e.g., Power BI, Tableau). Familiarity with Python or R for data analysis is advantageous. Strong analytical and problem-solving skills with exceptional attention to detail. Excellent communication and presentation skills in English; proficiency in Arabic is a plus.
Join our dynamic team at ssc-hr as a Data Scientist Project Manager where you will spearhead the execution of innovative AI and data-driven projects. This pivotal role requires you to manage and coordinate cross-functional teams including data scientists, machine learning engineers, and developers to drive the successful implementation of various AI tools.Your expertise in agile methodologies and modern project management tools such as Click Up and Jira will be essential as you lead daily stand-ups, sprint planning, and retrospectives, ensuring continuous improvement in project delivery.
We are seeking a highly analytical and results-driven Senior Growth Analyst to join our dynamic team at klivvr. In this pivotal role, you will analyze market trends, identify growth opportunities, and implement strategies that drive business expansion. You will collaborate closely with cross-functional teams to optimize our growth initiatives and enhance customer engagement. Your data-driven insights will play a crucial role in shaping our strategic decisions and fostering long-term success.
Full-time|On-site|Al Shorouk City, El Shorouk, Egypt
Envision Employment Solutions is on the lookout for a talented Business Intelligence Data Developer to join one of our esteemed partners, a prominent player in the IT Services and IT Consulting sector.In this role, you will take charge of leading the design, analysis, and development of reports and dashboards tailored for various internal banking departments including Finance, Risk, and Marketing. You will utilize statistical tools and data visualization techniques to uncover and communicate meaningful trends to diverse audiences, while also identifying variances, risks, and opportunities to support strategic decision-making.Key responsibilities include ensuring all documentation adheres to corporate standards, handling data ethically, and fostering a data-driven culture within the organization. You will collaborate closely with senior stakeholders and subject matter experts to build robust analytical capabilities across the business.
