sales engineer

software engineer

ai engineer

backend engineer

business analyst

data engineer

sonnen Egypt

<div>
 
 Standort
 
 
 
 Cairo, EG
 
 
 
 Stellen-ID
 
 : 4758
 
 
 At the earliest date possible we are looking for support for our #teamsonnen
 
 
 Clean and affordable energy for all is one of the greatest challenges of our time. Sonnen has been committed to this mission since 2010 and is now represented in Europe, the USA and Australia with over 1,000 team members globally. In Germany, our offices are located in the beautiful Wildpoldsried (Allg&auml;u) and the vibrating heart of Berlin Kreuzberg.
 
 
 At sonnen, we are building the energy system of the future. To this end, we are developing new technologies and business models that have not existed before. Whether intelligent power storage, virtual power plants or digital services - we set the trends of a new energy world. That means, among other things, the inexpensive production and storage of renewable energy and the intelligent networking of producers and consumers. sonnen thereby gives people around the world the opportunity to become independent of fossil fuels and conventional energy supplier.
 
 
 We are growing steadily and are looking for people who want to join us in our vision of clean and affordable energy for all while making a positive impact on climate change.
 
 
 We are seeking a Data Engineer (m/f/d) to join our team and play a pivotal role in enabling our Business Intelligence and Data Science teams. As a Data Engineer, you will be responsible for maintaining and enhancing our AWS-based analytics platform, provisioning data from various sources, and enabling the development and stable operation of analytical solutions. We&rsquo;re looking for someone who shares our values, who isn&rsquo;t afraid to challenge existing processes, and who would like to work on innovative solutions in a fast-moving environment. If this sounds like you, then don&rsquo;t hesitate to get in touch.
 
 
 
 What you will do to help drive the energy transition:
 
 
 
 <ul>
 <li>
 (Senior) Define and design the architecture of our analytics platform, ensuring scalability, performance, and reliability.
 </li>
 <li>
 You design and build scalable data pipelines, ETL processes, and data lake and data warehousing solutions to support our analytics solutions.
 </li>
 <li>
 You develop and maintain data integration processes with a variety of structured and unstructured data sources.
 </li>
 <li>
 You implement, test, and maintain infrastructural components of sonnen&rsquo;s analytics platform and deploy and maintain data models.
 </li>
 <li>
 You implement data quality checks and monitoring mechanisms to ensure accuracy, completeness, and consistency of data.
 </li>
 <li>
 You define coding principles and support data scientists and analysts in implementing algorithms into operational solutions.
 </li>
 <li>
 Adhere to stringent quality assurance and documentation standards, utilizing version control and code repositories such as Gitlab.
 </li>
 <li>
 You stay up to date with emerging trends and technologies in data engineering and assess their potential applications to our business needs.
 </li>
 <li>
 (Senior) Share your knowledge by coaching/pair coding with more junior engineers.
 
 
 </li>
 </ul>
 
 What You Will Need On That Journey
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in computer science or a related technical field.
 </li>
 <li>
 +3 years of relevant employment experience in roles such as Data Scientist, Data Engineer, or Data Architect.
 </li>
 <li>
 +3 years of experience with ETL tools, Data Modeling, and Data Architecture.
 </li>
 <li>
 Experience with Big Data technologies such as Hadoop, Hive, and Spark.
 </li>
 <li>
 Ability to translate organizational goals into technical solutions.
 </li>
 <li>
 Experience with Infrastructure as Code (experience in Terraform and Ansible are a plus).
 </li>
 <li>
 Proficiency in Python, SQL, and NoSQL.
 </li>
 <li>
 Excellent communication and project management skills.
 
 
 </li>
 </ul>
 
 Stellensegment:
 
 Business Intelligence, Data Warehouse, Computer Science, Quality Assurance, Project Manager, Technology
</div>

Data Engineer (m/f/d)

<div>
 
 Standort
 
 
 
 Cairo, EG
 
 
 
 Stellen-ID
 
 : 5268
 
 
 At the earliest date possible we are looking for support for our #teamsonnen
 
 
 Clean and affordable energy for all is one of the greatest challenges of our time. Sonnen has been committed to this mission since 2010 and is now represented in Europe, the USA and Australia with over 1,000 team members globally. In Germany, our offices are located in the beautiful Wildpoldsried (Allg&auml;u) and the vibrating heart of Berlin Kreuzberg.
 
 
 At sonnen, we are building the energy system of the future. To this end, we are developing new technologies and business models that have not existed before. Whether intelligent power storage, virtual power plants or digital services - we set the trends of a new energy world. That means, among other things, the inexpensive production and storage of renewable energy and the intelligent networking of producers and consumers. sonnen thereby gives people around the world the opportunity to become independent of fossil fuels and conventional energy supplier.
 
 
 We are growing steadily and are looking for people who want to join us in our vision of clean and affordable energy for all while making a positive impact on climate change.
 
 
 We are seeking for a Data Engineer who will empower sonnen&rsquo;s business with data-driven insights, services and products with the help of sonnen&rsquo;s AWS-based analytics platform and by provisioning data from various sources from within and outside the company.
 
 
 We&rsquo;re looking for someone who shares our values, who isn&rsquo;t afraid to challenge existing processes, and who would like to work on innovative solutions in a fast-moving environment. If this sounds like you, then don&rsquo;t hesitate to get in touch.
 
 
 
 What you will do to help drive the energy transition:
 
 
 
 <ul>
 <li>
 You develop and maintain data analysis processes with a variety of structured and unstructured data sources.
 </li>
 <li>
 You implement, test, and maintain infrastructural components of sonnen&rsquo;s analytics platform and deploy and maintain data models.
 </li>
 <li>
 You implement data quality checks and monitoring mechanisms to ensure accuracy, completeness, and consistency of data.
 </li>
 <li>
 You collaborate with the business SMEs and stakeholders to understand their data requirements and support their analysis and modeling needs.
 </li>
 <li>
 You adhere to stringent quality assurance and documentation standards using version control and code repositories (e.g., Gitlab).
 </li>
 <li>
 You stay up-to-date with emerging trends and technologies in data engineering, and assess their potential applications to our business needs.
 
 
 </li>
 </ul>
 
 What You Will Need On That Journey
 
 
 
 <ul>
 <li>
 You hold a bachelor&rsquo;s degree in Computer Science or a related technical field
 </li>
 <li>
 You have 3+ years of relevant employment experience (Data Scientist, Engineer or Architect)
 </li>
 <li>
 You have experience with data architecture and warehousing solutions (e.g. AWS Redshift, Databricks)
 </li>
 <li>
 You continue to enhance the existing platform, creating the technical foundation for scalable processes. Both data and result quality are important to you.
 </li>
 <li>
 You have good knowledge of Python, Pandas, SQL, NoSQL, RestAPI
 </li>
 <li>
 You are fluent in English. German is a plus.
 
 
 </li>
 </ul>
 
 Stellensegment:
 
 Computer Science, Quality Assurance, SQL, Database, Technology
</div>

Data Engineer (m/w/d)

EVA pharma

<div>
 
 Join EVA Pharma, a leading pharmaceutical company dedicated to empowering the fight for&nbsp;Health and well-being as a fundamental human right. Recognized and certified as a best place to work, we are committed to fostering a supportive and innovative environment for&nbsp;our team members.
 
 
 
 Job Summary:
 
 
 We are seeking a passionate and talented
 
 Data Scientist II
 
 to join our dynamic team. The&nbsp;ideal candidate will contribute to our mission of enhancing human health and well-being,&nbsp;ensuring that we meet the highest standards of excellence in our industry.
 
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Collect, clean, and analyze structured and unstructured datasets to uncover insights and support data-driven decisions. Build and validate predictive models and machine learning algorithms to address business and healthcare challenges
 </li>
 <li>
 Apply cutting-edge techniques such as large language models, fine-tuning, and retrieval-augmented generation to create generative AI solutions for areas like drug discovery, clinical research, and patient engagement
 </li>
 <li>
 Conduct statistical tests, identify key patterns and correlations, and design experiments to validate hypotheses and measure impact
 </li>
 <li>
 Translate analytical findings into clear, actionable insights through Power BI dashboards and visual reports that inform strategic and operational decisions
 </li>
 <li>
 Stay current with emerging AI and ML technologies, apply modern data science tools to enhance efficiency, and collaborate with data engineers to deploy and optimize production-ready models
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Bachelor's degree in Data Science, Computer Science, Statistics, or a related field
 </li>
 </ul>
 <ul>
 <li>
 2-4 years of experience as a Data Scientist or in a similar analytical role
 </li>
 <li>
 Strong command of Python and SQL, with hands-on experience using machine learning libraries such as scikit-learn, TensorFlow, or PyTorch
 </li>
 <li>
 Familiarity with modern Generative AI frameworks and tools, including Hugging Face and LangChain, is highly desirable, with a Solid foundation in statistics, data analysis, and hypothesis testing, along with proficiency in Power BI for creating dashboards and reports
 </li>
 <li>
 Experience working with cloud platforms (e.g. Azure, or GCP), strong problem-solving abilities, and the capability to communicate complex analytical insights clearly to diverse audiences
 </li>
 </ul>
</div>

Data Scientist II

CNTXT AI

<div>
 
 
 Company Overview
 
 
 
 At Cntxt, our mission is to accelerate the development of AI applications and the large language models (LLMs) that power them. We believe that to create the best models, high-quality data is essential. We provide enterprises with the tools to customize powerful generative models, unlocking the full potential of AI safely and effectively. Our Data Engine offers comprehensive features for collecting, curating, and annotating data, alongside robust tools for model evaluation and optimization.
 
 
 
 
 
 
 Technical Skills Required:
 
 
 <ol>
 <li>
 Artificial Intelligence and Machine Learning (AI/ML): A deep understanding of AI and ML concepts, algorithms, and techniques is essential. This includes knowledge of supervised learning, unsupervised learning, reinforcement learning, neural networks, deep learning architectures (such as CNNs, RNNs, GANs), natural language processing (NLP), computer vision, and related frameworks like TensorFlow, PyTorch, or scikit-learn.
 </li>
 <li>
 Software Development: Strong proficiency in software development principles, practices, and methodologies is necessary. This includes expertise in programming languages commonly used in AI development, such as Python, Go lang, as well as familiarity with software engineering best practices, version control systems (e.g., Git), and agile development methodologies.
 </li>
 <li>
 Data Engineering and Data Management: Knowledge of data engineering principles, including data collection, preprocessing, feature engineering, and data pipelines, is crucial for handling large-scale datasets effectively. Familiarity with databases (SQL and NoSQL), distributed computing frameworks (such as Apache Spark), and data warehousing concepts is also beneficial.
 </li>
 <li>
 Cloud Computing: Proficiency in cloud computing platforms like Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP) is important for deploying and scaling AI applications in the cloud. Skills in containerization technologies (e.gDocker, Kubernetes) and serverless computing are also valuable for optimising infrastructure resources.
 </li>
 <li>
 Model Deployment and Productionisation: Understanding how to deploy machine learning models into production environments is essential. This includes knowledge of model serving frameworks (e.g., TensorFlow Serving, PyTorch Serve), containerization for model deployment, continuous integration/continuous deployment (CI/CD) pipelines, and monitoring/model performance tracking.
 </li>
 <li>
 Data Privacy and Ethics: Awareness of data privacy regulations (e.g., GDPR, CCPA) and ethical considerations in AI development is important for ensuring compliance and responsible use of AI technologies. This includes knowledge of privacy-preserving techniques, bias mitigation strategies, and ethical AI principles.
 </li>
 <li>
 Cybersecurity: Understanding cybersecurity principles and best practices is essential for safeguarding AI systems against potential threats and vulnerabilities. This includes knowledge of secure coding practices, encryption techniques, network security, and threat detection/mitigation strategies.
 </li>
 <li>
 Domain Knowledge: Depending on the specific industry or application domain of the AI company (e.g., healthcare, finance, autonomous vehicles), domain-specific knowledge and expertise may be required to effectively develop and deploy AI solutions that address industry-specific challenges and requirements.
 </li>
 </ol>
 
 
</div>

Chief Technology Officer

Henkel

<div>
 At Henkel, you can be a game changer and craft your career. Unleash your entrepreneurial spirit by bringing your ideas to life within a global team. Our leading brands and technologies, along with our high-performing businesses will provide you with countless opportunities to develop your skills and explore new paths. Your career at Henkel will contribute to a more sustainable future, while you grow within our vibrant, diverse culture of trust and belonging. If you're up for challenging the status quo, join our team of pioneers and make your mark on the future with us.
 
 
 
 Do you dare to make an impact?
 
 
 
 
 Your Role
 
 
 
 <ul>
 <li>
 Generate Value from data by providing relevant analytical insights gathered from data assets. Identifies, analyses, and interprets trends or patterns in complex datasets.
 </li>
 <li>
 Prioritizes information needs, including capturing requirements, building data flows, datasets, reports, and dashboards
 </li>
 <li>
 Automates &amp; maintains new and existing data models: identifies methods that to continuously improve data integrity across data sources
 </li>
 <li>
 Provides quality assurance of imported data. Supports initiatives for data integrity &amp; normalization
 </li>
 <li>
 Keeps up to date with latest industry trends, and proposes new technologies / systems based on research or industry best practices
 
 
 </li>
 </ul>
 
 YOUR SKILLS
 
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Business informatics, Networks Engineering, or any relevant study
 </li>
 <li>
 2-4 years of relevant work experience
 </li>
 <li>
 Fluent English speaker with excellent communication skills and teamwork abilities
 </li>
 <li>
 Proficient user of MS Office applications (Word, Excel, and PowerPoint)
 </li>
 <li>
 Mandatory Experience in Data Visualization (specifically Power BI) and Python with business acumen.
 </li>
 <li>
 Preferrable experience in Microsoft Azure and SAP Process knowledge with Networking &amp; Opportunity Management Skills
 
 
 </li>
 </ul>
 Henkel is an equal opportunity employer. We look for a diverse team of individuals who possess different backgrounds, experiences, and mindsets.
</div>

Sustainability Data Analyst

Concentrix

<div>
 
 BI &amp; Data Specialist Job Description
 
 
 As a Business Intelligence &amp; Data Specialist, you will be part of a global team, providing Business Intelligence services to one of our client&rsquo;s business unit.
 
 
 Job Description
 
 <ul>
 <li>
 Develop, maintain and improve business reports linked to sales agent productivity (productivity, call time, agent review etc.).
 </li>
 <li>
 Develop, maintain and improve reports linked to sales pipeline, forecast and revenue attainment.
 </li>
 <li>
 Work with set of business rules, analyze transaction records versus business rules and understand real time sales target attainment versus business rules. Support sales teams with escalations linked to missing records from scorecard.
 </li>
 <li>
 Support sales campaign management: actively participate in customer selection from client and/or 3rd party databases, support the improvement of global propensity models in line with sales targets. Complete pre-engagement administrative and maintenance tasks (such as campaign upload, data enrichment (1st/3rd party databases), maintain PowerApps and CRM systems), update and maintain insights dashboards (sales support tools), execute ad-hoc bulk updates in CRM linked to lead and opportunity records.
 </li>
 <li>
 Develop, maintain and improve business reports linked to Webhelp owned sales support tools.
 </li>
 </ul>
 
 Skills Needed
 
 <ul>
 <li>
 Relevant working experience with PowerQuery, PowerBI and PowerApps &ndash; ability to maintain reports built by global Business Intelligence (BI team) and develop new reports by utilizing PowerPlatform
 </li>
 <li>
 High level Microsoft Office skills (Excel &ndash; pivot tables, PowerPivot)
 </li>
 <li>
 Experience establishing processes to triage and resolve sales issues
 </li>
 <li>
 Relevant working experience with CRM and/or ERP systems (Microsoft Dynamics is an advantage)
 </li>
 <li>
 Ability to get things done (without or with a minimum level of supervision), working collaboratively across a highly matrixed organization, respecting deadlines
 </li>
 <li>
 Strong problem-solving skills
 </li>
 <li>
 Proven self-starter, able to deal with ambiguity
 </li>
 <li>
 Core Competencies: B2B or sales organizational awareness, strong business acumen, strategic insights, trusted advisor
 </li>
 <li>
 Professional Competencies: Adaptability, Drive for Results, Judgement, Collaboration, Analytical Problem Solving, Organized &amp; Disciplined
 </li>
 <li>
 Basic knowledge of SQL is required, experience with SSIS and SQL Server Analysis Services is an advantage
 </li>
 <li>
 Language skills: Fluent English is required
 </li>
 <li>
 Communication skills: strong written and verbal communication skills
 </li>
 <li>
 Education: bachelor&rsquo;s degree (with focus on one of the related fields: data engineering, digital business &amp; data science, business intelligence &amp; data analytics, business administration, economics, finance, business &amp; IT, software engineering) or equivalent work experience (minimum 2 years)
 </li>
 </ul>
</div>

Business Analyst

PwC Middle East

<div>
 
 Line of Service
 
 
 
 Advisory
 
 
 
 Industry/Sector
 
 
 
 Technology
 
 
 
 Specialism
 
 
 
 Advisory - Other
 
 
 
 Management Level
 
 
 
 Senior Associate
 
 
 
 Job Description &amp; Summary
 
 
 
 At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals.
 
 
 
 Responsibilities
 
 
 
 In business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decision-making for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage.
 
 We are seeking a highly skilled and analytical
 
 Business Intelligence (BI) Engineer
 
 with strong expertise in
 
 Power BI
 
 to join our growing data team. The ideal candidate will be responsible for designing, developing, and maintaining scalable BI solutions that transform raw data into actionable insights to support strategic decision-making across the organization.
 
 
 
 Key Responsibilities:
 
 
 
 
 <ul>
 <li>
 Design, develop, and deploy interactive dashboards and reports using Power BI.
 </li>
 <li>
 Translate business needs into technical specifications and maintain robust BI solutions.
 </li>
 <li>
 Integrate data from multiple sources (e.g., SQL databases, APIs, Excel, cloud platforms).
 </li>
 <li>
 Develop and optimize DAX queries and data models for performance and usability.
 </li>
 <li>
 Collaborate with business stakeholders to understand reporting requirements.
 </li>
 <li>
 Implement and maintain data security and governance standards within Power BI.
 </li>
 <li>
 Monitor BI tools performance and troubleshoot technical issues as needed.
 </li>
 <li>
 Work closely with data engineers, analysts, and product teams to ensure data quality and integrity.
 </li>
 <li>
 Provide training and documentation for end-users and stakeholders on Power BI usage.
 
 
 </li>
 </ul>
 
 Required
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Information Systems, Statistics, or a related field.
 </li>
 <li>
 1-3 years of experience in a BI Engineer, Data Analyst, or similar role.
 </li>
 <li>
 Strong proficiency in Power BI, including DAX, Power Query (M), and data modeling.
 </li>
 <li>
 Hands-on experience with SQL and relational databases, and Python or R for data analysis.
 </li>
 <li>
 Familiarity with ETL processes and data warehousing concepts.
 </li>
 <li>
 Excellent problem-solving skills and attention to detail.
 </li>
 <li>
 Strong communication skills to present insights to both technical and non-technical audiences.
 
 
 </li>
 </ul>
 
 Preferred
 
 
 
 <ul>
 <li>
 Experience with Azure Data Services (e.g., Azure SQL, Data Factory).
 </li>
 <li>
 Exposure to other BI tools (e.g., Tableau, Looker) is a plus.
 </li>
 <li>
 Microsoft certifications (e.g., PL-300: Power BI Data Analyst) are a bonus.
 
 
 </li>
 </ul>
 
 Education
 
 
 (if blank, degree and/or field of study not specified)
 
 
 
 Degrees/Field of Study required:Degrees/Field of Study preferred:
 
 
 
 Certifications
 
 
 (if blank, certifications not specified)
 
 
 
 
 Required Skills
 
 
 
 
 Optional Skills
 
 
 
 Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Business Case Development, Business Data Analytics, Business Intelligence and Reporting Tools (BIRT), Business Intelligence Development Studio, Communication, Competitive Advantage, Continuous Process Improvement, Creativity, Data Analysis and Interpretation, Data Architecture, Database Management System (DBMS), Data Collection, Data Pipeline, Data Quality, Data Science, Data Visualization, Embracing Change, Emotional Regulation, Empathy, Inclusion, Industry Trend Analysis {+ 16 more}
 
 
 
 Desired Languages
 
 
 (If blank, desired languages not specified)
 
 
 
 
 Travel Requirements
 
 
 
 Not Specified
 
 
 
 Available for Work Visa Sponsorship?
 
 
 
 Yes
 
 
 
 Government Clearance Required?
 
 
 
 Yes
 
 
 
 Job Posting End Date
 
</div>

ETIC, BI Engineer Senior Associate

Explore 426+ Data engineer in Cairo this October. Find roles across top companies and apply now to boost your career.