458 Team Data jobs in Egypt

Envision Employment Solutions
is currently looking for a
Data Engineer
for one of our partners, a global leader in consulting, digital transformation, technology and engineering services.

This position requires flexibility to work on US times and flexibility to travel abroad when needed.

Responsibilities:

Cloud Solutions:

• Develop, deploy, and manage cloud-based applications and solutions using cloud services.
• Optimize cloud infrastructure for performance, scalability, and cost-effectiveness.

Data Management:

• Ensure data quality and consistency through data cleaning, transformation, and validation processes.
• Perform complex data analysis and preprocessing on large datasets.
• Design and implement scalable and robust data pipelines to support analytics and data processing needs.
• Build data products
• Write optimized SQL queries for data retrieval, manipulation, and reporting.

CI/CD Pipeline Management:

• Design and implement CI/CD pipelines to automate application builds, testing, and deployment.
• Maintain and improve existing pipelines for efficiency and reliability.

Requirements:

• 4 to 6 years of experience in deploying machine learning models in production environments
• Hands-on experience with large datasets and data preprocessing.
• Proficiency in Python: Extensive experience in building and maintaining scalable, efficient applications.
• Proficiency in SQL: Strong knowledge of SQL for data manipulation and querying.
• Solid, in-depth knowledge of cloud services (Azure, AWS, GCP), with hands-on experience in developing, deploying, and managing applications.
• Experience with AI and machine learning frameworks and tools.
• Experience using Git for version control in collaborative development environments.
• Experience in integrating and managing CI/CD pipelines.
• Excellent written and verbal communication skills to collaborate effectively with cross-functional teams.
• Fluent in Qatari Arabic & English, both spoken and written.

About the Role

We are seeking a
TMCB Data Analyst
to turn complex datasets into actionable insights that drive business decisions. In this role, you will collect, clean, process, and analyze data, applying statistical techniques, data visualization, and business intelligence tools to uncover trends and support strategic initiatives.

The ideal candidate is highly analytical, detail-oriented, and thrives in a dynamic environment—bridging technical expertise with business needs while effectively communicating insights to stakeholders.

Key Responsibilities

Data Analysis & Reporting

• Extract, clean, validate, and transform data from multiple sources
• Ensure accuracy and integrity through validation techniques
• Generate KPIs, dashboards, and performance insights for business teams
• Translate complex data into clear, actionable insights

Data Quality, Documentation & Visualization

• Implement validation checks and resolve data quality issues
• Document methodologies, processes, and data sources
• Build and maintain interactive dashboards in
  Power BI
• Identify automation opportunities to streamline workflows
• Support data governance and best practices

Cross-Functional Collaboration

• Partner with teams to define reporting requirements
• Present insights and recommendations to leadership

Qualifications & Experience

Bachelor's degree in Data Science, Statistics, Economics, Computer Science, or related field (Master's preferred)

3–6 years of experience in data analysis (business, finance, or analytics roles preferred)

Strong expertise in
Power BI
, Power Query, Power Automate, and advanced Excel

Proficiency in
SQL
and strong data management skills

Experience with talent management learning systems is a plus

Skills & Attributes

• Strong statistical knowledge and analytical mindset
• Ability to communicate findings clearly to non-technical audiences
• Detail-oriented with a focus on accuracy
• Problem-solving and critical thinking skills
• Adaptable, with the ability to manage shifting priorities

Interested?
Apply now and be part of a team where your insights directly shape strategic decisions. Please refrain from reaching the recruiter directly, please apply and if successful, you will be contacted.

Envision Employment Solutions is currently looking for a Data Architect (DataBricks) for one of our partners, a global leader in consulting, digital transformation, technology and engineering services.

This position requires flexibility to work on US times and flexibility to travel abroad when needed.

Responsibilities:

• Design, develop, and implement data architectures on the Databricks platform, including data lakes, data warehouses, and data pipelines.
• Define and implement data governance and security policies within the Databricks environment.
• Collaborate with data engineers to optimize data ingestion, transformation, and processing pipelines on Databricks.
• Develop and maintain data models and schemas for various business domains.
• Conduct data profiling and quality assessments to ensure data accuracy and completeness.
• Troubleshoot and resolve data-related issues within the Databricks environment.
• Stay abreast of the latest advancements in Databricks technologies and best practices.
• Mentor and guide junior data engineers and analysts.
• Collaborate with business stakeholders to understand their data needs and translate them into technical requirements.
• Participate in the evaluation and selection of new data technologies and tools.
• Contribute to the development and improvement of data architecture standards and best practices.

Requirements:

• Bachelor's degree in Computer Science, Computer Engineering, or a related field.
• 9+ years of experience as a Data Architect or a similar role.
• Strong experience with Databricks, including Delta Lake, Spark SQL, and Databricks SQL.
• Experience with cloud platforms such as AWS, Azure, or GCP.
• Experience with data warehousing and data lake architectures.
• Strong understanding of data modeling and data warehousing concepts.
• Experience with data integration and ETL/ELT processes.
• Proficiency in SQL and Python.
• Experience with data governance and security best practices.
• Excellent communication and interpersonal skills.
• Strong analytical and problem-solving skills.
• Ability to work independently and as part of a team.

Benefits:

• Competitive Salary based on experience
• Social and medical insurance
• Learning, development and career progression

Responsibilities

• Develop, maintain, and optimize data pipelines for efficient data processing.
• Design and implement scalable data architectures.
• Ensure data integrity, quality, and security across various sources.
• Collaborate with data scientists, and to support business needs.
• Perform data cleansing, transformation, and integration from multiple sources.
• Monitor and troubleshoot data-related issues and optimize performance.
• Work with cloud-based and on-premises data storage solutions.
• Implement data governance policies and best practices.

Qualifications

• Strong proficiency in SQL and database management.
• Experience with ETL (Extract, Transform, Load) processes.
• Knowledge of programming languages like Python, Java, or Scala.
• Familiarity with cloud platforms (AWS, Azure, Google Cloud).
• Understanding of big data technologies (Hadoop, Spark).
• Strong analytical and problem-solving skills.
• Experience with data warehousing and data modeling.

We are looking for a goal-oriented and technically brilliant Data Analyst to join our GTM Operations team. You will be the key link between our complex data systems and our Go-To-Market strategy, providing the insights that help our Sales, Marketing, and Leadership teams make smarter, faster decisions. If you have a passion for data visualization, a knack for modeling, and the business sense to know what matters, this is your role.

What You'll Do

• Be the Insight Engine: Proactively analyze our diverse data to uncover trends, correlations, and opportunities that others might miss. Tell the story behind the numbers to influence our GTM strategy.
• Build the Foundation: Design, build, and maintain clean, reliable, and performant dashboards and reports in Looker that become the single source of truth for the entire company.
• Power Our Growth: Help build and refine sophisticated marketing attribution and sales forecasting models to directly measure and improve the effectiveness of our revenue teams.
• Champion Data Integrity: Establish standardized definitions for key metrics (like "active users" and "enterprise acquisition") to ensure clarity and consistency across all teams.
• Drive Efficiency: Identify and fix slow queries and data pipeline bottlenecks, working to streamline how we access and use our data.
• Support Key Initiatives: Collaborate on building financial models for critical, high-impact projects like pricing strategy.

What We're Looking For

• A bachelor's degree in Data Analytics, Statistics, Business, or a related quantitative field.
• 3+ years of professional experience in a Data Analyst, BI Analyst, or similar role.
• You are a SQL expert: You can write complex, optimized queries in your sleep.
• You are a visualization pro: You have advanced experience with Looker (or similar BI tools like Tableau, Power BI) and know how to make data intuitive and actionable.
• You have foundational data warehousing knowledge: Hands-on experience with Redshift, BigQuery, or Snowflake, and familiarity with ETL tools like Fivetran.
• You're a business-minded technologist: You don't just report the data; you understand what it means for the business and can make strategic recommendations.
• You're a brilliant communicator: You can effectively partner with and present to stakeholders from technical teams to company executives.

Bonus Points If You Have

• Experience in a B2B SaaS environment.
• A background in Marketing, Product, or Sales operations.
• Experience with Python or R for statistical analysis.

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 (Allgäu) 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's business with data-driven insights, services and products with the help of sonnen's AWS-based analytics platform and by provisioning data from various sources from within and outside the company.

We're looking for someone who shares our values, who isn'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't hesitate to get in touch.

What you will do to help drive the energy transition:

• You develop and maintain data analysis processes with a variety of structured and unstructured data sources.
• You implement, test, and maintain infrastructural components of sonnen's analytics platform and deploy and maintain data models.
• You implement data quality checks and monitoring mechanisms to ensure accuracy, completeness, and consistency of data.
• You collaborate with the business SMEs and stakeholders to understand their data requirements and support their analysis and modeling needs.
• You adhere to stringent quality assurance and documentation standards using version control and code repositories (e.g., Gitlab).
• You stay up-to-date with emerging trends and technologies in data engineering, and assess their potential applications to our business needs.

What You Will Need On That Journey

• You hold a bachelor's degree in Computer Science or a related technical field
• You have 3+ years of relevant employment experience (Data Scientist, Engineer or Architect)
• You have experience with data architecture and warehousing solutions (e.g. AWS Redshift, Databricks)
• You continue to enhance the existing platform, creating the technical foundation for scalable processes. Both data and result quality are important to you.
• You have good knowledge of Python, Pandas, SQL, NoSQL, RestAPI
• You are fluent in English. German is a plus.

Stellensegment:
Computer Science, Quality Assurance, SQL, Database, Technology

We're Hiring – Data Entry Specialist

Location:
Fifth Settlement – New Cairo (preferably nearby residents)

Full-time – On-site

Are you a fresh graduate or just starting your career? If you're skilled in Microsoft Office, detail-oriented, and organized, join our team and kick-start your professional journey

Requirements:

• Bachelor's degree in any field
• 0–2 years of experience
• Accuracy, time management & organization skills

What We Offer:

• Training & career growth
• Supportive work environment
• Competitive salary

Apply now
easy via LinkedIn or send your cv to ( ) or to WhatsApp

About us

Infomineo is a pioneering global AI-enhanced research company that transforms how businesses access, analyze, and act on critical intelligence. We've evolved from traditional business research outsourcing to become the strategic partner that combines cutting-edge artificial intelligence with deep human expertise. We offer 3 services to our global clients (leading consulting companies, Fortune 500 companies, and government entities): AI and Data Advisory, Next-Gen Insights and Resource Scaling. This is made possible by relying on 3 pillars of excellence: industry experts spread across 5 offices (Cairo, Casablanca, Mexico City, Dubai, Barcelona), 2) Our proprietary AI orchestrator, 3) Extensive knowledge assets combining 500,000+ delivered case studies and database subscriptions.

Ready to kick start your career with us?

About this role

This role will give you the opportunity to deliver high-added value data & analytics projects and build high-quality and innovative solutions for our clients within a growing service company.

What will you do?

• Propose solutions and strategies to tackle business challenges.
• Contribute to the design of the technical solution chosen to collect, analyze data, and display the results obtained.
• Manage a project from A to Z
• Analyze large amounts of information to find patterns and solutions.
• Data mining or extracting usable data from valuable data sources.
• Carry out preprocessing of structured and unstructured data
• Enhance data collection procedures to include all relevant information for developing analytic systems.
• Develop prediction systems and machine learning algorithms
• Present results in a clear manner
• Processing, cleansing, and validating the integrity of data to be used for analysis.
• Assist the IT teams in all phases of the production, maintenance, and update of the models developed.
• Provide internal training to new joiners when needed.
• Support the Team Lead/Manager regarding client relationships, business development, and internal projects.

Requirements

Who are you?

EDUCATION & PROFESSIONAL EXPERIENCE

• Master's degree in a relevant field such as Computer Science, Machine Learning, Data Science, Statistics, Applied Mathematics, Data Engineering
• 4 to 8 years of technical experience in advanced analytics and data science
• Full proficiency in English + 1 Additional language (French, German, Arabic, Spanish, Italian, Portuguese.)

TECHNICAL SKILLS

• Proven hands-on experience in Python programming language coupled with additional languages experience if possible (e.g. SAS, R, Javascript)
• Strong skills in Statistics & Machine Learning such as regressions, Clustering techniques, Time Series techniques, Bagging & boosting trees, Ensemble models, Neural networks
• Exposure to BI/Data visualization platforms such as Power BI, Tableau, Looker, QlikView…
• Proven hands-on experience in Big Data environments and languages such as Hadoop, Hortonworks, Cloudera, Spark, Scala, PySpark, etc. &Big Data querying tools, such as Pig, Hive, and Impala
• Proven hands-on experience in large data sets both structured and unstructured data: Snowflake, SQL and relational databases, data warehouse, data lake
• Exposure to NoSQL databases, such as HBase, Cassandra, MongoDB
• Proven hands-on experience in API integration using Python for extracting data from different sources
• Proven hands-on experience in container technologies – Docker, Kubernetes, etc.
• Proven hands-on experience in solutions development & deployment experience in Cloud ecosystems and its associated services AWS, Azure, Google Cloud, and IBM Cloud.
• Experience in building robust data pipelines using ETL techniques and frameworks, such as Flume
• Experience to work with large volumes of structured and unstructured data and leveraging it to build AI/ML model deployment & monitoring/enhancements for standalone solutions or through end-to-end automated data pipelines

INTERPERSONAL SKILLS

• Can step back, analyze problems, find solutions and the drive to implement these. Good management skills with a track record of coordinating workflow and assuring quality with a strong ability to multitask.
• Can work & collaborate with variety of stakeholders & clients throughout data project lifecycle
• Strong interpersonal skills and organizational skills, high motivation, an attention to detail, flexibility, and ability to cope under stress, a focus on identifying the solutions to problems.
• Strong communication skills & ability to translate complex solutions into business implications and at the same time being able to explain mathematical concepts when required

Benefits

What we offer

• A competitive salary
• A great working environment
• A steep learning curve with interesting and diverse topics to work on
• A healthy work-life balance
• Health insurance Benefits

What is it like to work at Infomineo?

If you've spoken with someone who works at Infomineo, you've probably heard that our people are our most valuable asset. Our diversity, both in terms of professional experience and culture, is the company's greatest strength.By being a part of Infomineo, you'll have the opportunity to work alongside a friendly, smart, and international team that values intellectual vitality and creativity. You will learn the best practices and tools in your field of work, as well as how best to leverage AI for more efficiency to enable focusing on generating more impact to a client. You will grow your career and expertise across different regions and industries. As a member of the team, you'll be encouraged to contribute by applying your ideas while playing an instrumental role in the company's development and growth. Within this role, you'll support leading international institutions & companies with the data and information required to fuel key business decisions

Equal opportunity employer

Infomineo is an equal opportunity employer, we prohibit any sort of discrimination (based on color, race, sex, sexual orientation, religion, national origin or any other attributes) in all aspects of employment (recruiting, hiring, wages and salary, promotions, benefits, training and job termination).

If you believe you match our requirements and values, we would be happy to hear from you. Visit our website to know more about us, our services and company culture.

needed to accurately input and manage data. The ideal candidate will have experience listing products on online marketplaces such as Amazon, eBay, and Etsy.

Responsibilities

• Accurately input data into our systems and databases.
• Create and manage product listings on various online marketplaces, including writing descriptions, uploading images, and setting prices.
• Verify data for accuracy and completeness, correcting any errors.
• Maintain and update existing records and product listings.
• Generate reports and summaries as needed.
• Organize and maintain digital files and records.

Qualifications

• Proven experience in data entry or a related administrative role.
• Demonstrable experience with online marketplace platforms (e.g., Amazon, eBay, Shopify) is highly preferred.
• Excellent typing speed and accuracy.
• Proficiency in Microsoft Office Suite, particularly Excel.
• Strong attention to detail and organizational skills.
• Ability to work independently and manage time effectively.
• Good communication skills, both written and verbal.

Job Types: Full-time, Part-time

Pay: E£5, E£8,000.00 per month

Expected hours: 48 per week