458 Data Team jobs in Egypt

b_labs is the transformation and digitization arm of B.TECH, on a mission to change the industry as we know it. We spearhead tech innovation at B.TECH, an organization that has been a cornerstone of the Egyptian retail industry. We are the engine powering B.TECH in achieving its goal of becoming the leading omni-channel platform for consumer electronics and appliances in Egypt. By joining b labs, you will get to benefit from a collaborative startup environment, while also enjoying the stability of working within a company that has achieved strong growth year after year. You will be part of a visionary, customer-focused team with an ambitious mission-to become a trailblazer for digital retail within the Middle East.

The Data Engineering Manager will lead the development and implementation of b_labs' data engineering strategy and oversee a team of data engineers. This role will play a crucial part in shaping the company's data infrastructure and collaborating with the Data Architect and Head of Analytics to drive data-driven decision-making across the organisation.

Responsibilities

• Develop and implement the data engineering strategy in line with b_labs' business objectives and industry best practices
• Lead, mentor, and grow a team of data engineers, fostering a culture of innovation, collaboration, and continuous improvement
• Collaborate with the Data Architect to design, build, and optimize b_labs' data infrastructure, ensuring it is scalable, secure, and performant
• Work closely with the Head of Analytics to ensure seamless data integration and accessibility for analytics and business intelligence initiatives
• Establish and enforce data engineering standards, guidelines, and best practices across the organization
• Identify, evaluate, and implement new data technologies and tools to enhance the capabilities of the data engineering team
• Collaborate with cross-functional teams to identify data requirements and support data-driven projects
• Monitor and maintain the health and performance of b_labs' data ecosystem, proactively identifying and addressing any issues

Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field
• Minimum of 8 years of experience in data engineering, with at least 3 years in a leadership role
• Strong knowledge of data engineering tools, technologies, and best practices, including data warehousing, ETL, and data pipelines
• Proficiency in programming languages such as Python, Java, or Scala
• Experience with big data technologies such as Hadoop, Spark, and Kafka
• Familiarity with cloud-based data solutions (AWS, Azure, or Google Cloud)
• Exceptional problem-solving, communication, and leadership skills
• Ability to collaborate effectively with cross-functional teams and stakeholders

Benefits

Office environment: When you come to our b_labs office, you'll find creative workspaces and an open design to foster collaboration between teams.

Flexibility: You know best whether you want to work from home or in the office.

Equipment: From "Day 1" you will receive all the equipment you need be successful at work.

Job Description
Proudly voted a Great Place to Work, we are a dynamic startup in the SaaS space that is revolutionizing the way businesses communicate. Our team is made up of 500 energetic and passionate Unifones who are dedicated to delivering the best possible experience to 5000+ customer-centric companies.

We pride ourselves on our fun and collaborative work environment, where creativity and new ideas are constantly encouraged. As shareholders in the business, we're so much more than a group of passionate communicators. We are Unifones. Join our team and be a part of something big

Meet the team
Our Engineering team is responsible for designing, developing, and maintaining the systems and technologies that drive Unifonic's solutions. We work closely with other departments to ensure our products and services meet the needs of our customers. If you are passionate about technology and are excited about working on cutting-edge communication and engagement solutions, we want you on our team.

Lead data engineering for high-scale batch and streaming platforms to deliver near-real-time, accurate reporting and customer-facing analytics. Own data quality and observability end-to-end, enabling trustworthy C-level dashboards and low-latency use cases. Operate and optimize OLAP serving layers (Vertica/ClickHouse) for sub-minute freshness at scale.

Help Us Shape The Future Of Communications By

• Operating and evolve a large volume data lake and streaming pipelines with clear SLOs for latency, freshness, completeness, and accuracy. Establish on-call, runbooks, and incident response for data platform reliability .
• Implementing data quality by design: data modeling/contracts, schema governance, and automated validation embedded in data pipelines and orchestration (Airflow/Dagster) .
• Delivering high-accuracy reporting and certified metrics with a governed semantic layer, ensure consistent definitions across C-level dashboards and customer-facing APIs .
• Building and optimize streaming use cases (Kafka + Spark/Flink) with exactly-once semantics, late-data handling, CDC, backfill strategies, set and meet near-real-time SLAs for dashboards .
• Owning real-time OLAP serving: design and operate Vertica/ClickHouse tables, partitioning, indexing, projections/rollups, and retention to balance latency, cost, and concurrency .
• Establishing end-to-end observability (metrics, logs, traces, lineage) across dataflows and APIs; track MTTD/MTTR and error budgets for data incidents .
• Optimizing cost/performance across storage and compute (tiering, compression, query optimization, autoscaling) on OCI/AWS/GCP.
• Shipping robust, versioned analytical APIs (batch/streaming) with SLAs, schema governance, and usage monitoring.
• Coaching and grow high-performing teams, and communicate status and trade-offs clearly to executives and non-technical stakeholders.

Job requirements

What You Will Bring

• 8+ years in Data/Analytics with 3+ leading data engineering teams delivering production-grade pipelines and SLAs.
• Proven track record operating large-scale OLAP stores and dimensional models, expert SQL/query optimization for analytics.
• Production experience with streaming stacks (Kafka + Spark/Flink) powering near-real-time dashboards and APIs.
• Hands-on with orchestration (Airflow) and CI/CD for data.
• Cloud-native data architectures (OCI/AWS/GCP) with measurable cost optimization.
• Data quality and observability ownership (data models/contracts, automated checks, lineage, SLOs).

Nice To Have

• ClickHouse in production: schema design with MergeTree engines, partitioning/sorting, materialized views/rollups, replication, Kafka ingestion, and backup/restore.

As a Unifone you will receive a range of benefits:

• Competitive salary and bonus.
• Unifonic share scheme (we are all owners).
• 30 holiday days after the first anniversary.
• Your Birthday off
• Spend up to 25 days per year working from anywhere in the world
• Paid leave for new parents.

Job Title:
Data Engineering Instructor

Location:
Cairo, Egypt

Employment Type:
Full-time

Company Overview

AMIT
(Association of Management and Information Technology) is a leading training and consulting company committed to delivering exceptional service quality. We continuously evolve by exploring new training areas and methodologies, enabling us to stay ahead of contemporary trends. At AMIT, we partner closely with our clients to anticipate emerging market needs and provide tailored training solutions.

Job Description

We are seeking a highly skilled and enthusiastic
Data Engineering Instructor
to join our growing training team. The ideal candidate has a strong background in data architecture, ETL/ELT pipelines, and cloud data platforms. You will be responsible for delivering engaging sessions that combine theory with hands-on, real-world application, supporting learners in gaining industry-relevant expertise.

Key Responsibilities

• Design and deliver 
  interactive, practical training sessions
   on data engineering tools and concepts.
• Teach topics such as:
• Data pipeline architecture (
  ETL/ELT
  )
• Data warehousing and data modeling
• Distributed data processing (
  Apache Spark
  )
• Cloud data platforms (
  Azure
  , 
  AWS
  , 
  GCP
  )
• SQL and Python
   for data transformation
• Data governance, privacy, and security best practices
• Develop 
  real-world lab exercises and hands-on projects
   simulating business use cases.
• Evaluate student performance and provide 
  timely, constructive feedback
  .
• Track learner progress and adapt instruction to meet individual needs.
• Collaborate with academic and curriculum teams to maintain and update course content.
• Offer 
  career mentorship
   and technical guidance to students.

Qualifications

• A 
  Bachelor's degree
   in 
  Computer Science
  , or a closely related field.
• A 
  Master's degree
   is a strong advantage.

Industry & Teaching Experience

• 1–3 years
   of 
  hands-on industry experience
   in 
  data engineering
  , 
  data science
  , or a similar technical role.
• Minimum of 
  2 years
   specifically in 
  data engineering
   roles.
• 1–2 years
   of 
  teaching, mentoring, or instructional experience
  , with a proven ability to design and manage 
  engaging learning environments
  .

Technical Skills

• Programming
  :
• Python (
  Pandas
  , 
  PySpark
  )
• SQL
  , 
  Bash scripting
• Data Engineering Tools
  :
• Apache Airflow
  , 
  Apache Spark
  , 
  DBT
  , and basic familiarity with 
  Kafka
• Cloud Platforms
  :
• Azure Data Factory
  , 
  Azure Synapse Analytics
  , 
  Azure SQL
  , and basic exposure to 
  AWS Glue
• Databases
  :
• Proficient in 
  SQL Server
   and 
  PostgreSQL
• Strong knowledge of 
  data architecture
  , 
  pipelines
  , and 
  modern data warehousing
   solutions.

Communication & Professional Skills

• Excellent 
  communication
  , 
  presentation
  , and 
  interpersonal skills
  .
• Fluent in 
  English
   (both written and spoken).
• Maintains a 
  professional appearance
   and represents the organization in academic and training settings.
• Committed to 
  student success
  , with the ability to adapt instructional methods based on learner needs.

Instructional & Training Skills

• Curriculum Development
• Lesson Planning & Structuring Content
• Hands-on Lab Design & Execution
• Interactive Teaching Techniques
• Classroom & Time Management
• Student Engagement & Mentorship
• Assessment & Feedback Delivery
• Online/Remote Teaching Tools (e.g., Zoom, Google Classroom, MS Teams)

Our
Talent Acquisition Team
will be in touch with shortlisted applicants.

We look forward to having you on our team

Best of luck,

Talent Acquisition Team – AMIT

Professional Summary

• A dedicated and knowledgeable Data Engineering Instructor with a solid background in data architecture, pipeline development, and cloud-based data solutions. Proven ability to deliver engaging, hands-on training that bridges the gap between theoretical concepts and practical implementation. Experienced in mentoring aspiring data professionals through well-structured learning programs that focus on real-world use cases, best practices, and industry-relevant tools.

Key Responsibilities

• Design, develop, and deliver high-impact training programs in Data Engineering, tailored for diverse audiences including university students, early-career professionals, and corporate teams.

• Teach core topics such as:

• Data pipeline architecture (ETL/ELT processes)
• Data warehousing and modeling
• Big data processing using distributed systems
• Cloud data platforms (Azure, AWS, GCP)
• SQL, Python for data transformation and automation
• Data governance, security, and privacy
• Build hands-on labs and projects simulating real-world business scenarios to enhance learner engagement and retention.
• Continuously evaluate and enhance course materials to keep pace with rapidly evolving data technologies and tools.
• Provide technical mentorship, career guidance, and personalized feedback to learners.
• Collaborate with academic institutions and training centers to align course outcomes with market demands and certification standards.

Technical Skills

• Programming: Python (Pandas, PySpark), SQL, Bash
• Data Tools: Apache Airflow, Apache Spark, DBT, Kafka (intro level)
• Cloud Platforms: Azure Data Factory, Azure Synapse, Azure SQL, AWS Glue (intro level)
• Databases: SQL Server, PostgreSQL,

If you're Interested In & Qualified for the Above Criteria, Please Send Your Updated CV & We Will Get in Touch with You As Soon As Possible

Best Wishes Of Luck

Talent Acquisition Team

*Portfolio And Project Management: *

• Develop and implement AI and data plans aligned with RDMC goals and objectives.
• Create and manage data governance by ensuring that data models adhere to needs, policies and regulations.
• Create and maintain conceptual, logical, and physical data models for various applications, ensuring they align with business requirements and objectives.

*Stakeholders Management: *

• Work with Business Partners to design and deploy Al models and algorithms to solve complex business problems.
• Collaborate with cross-functional teams to integrate Al solutions into various business processes.
• Prepare and present reports on data and Al initiatives to management.

*AI & Data Management: *

• Oversee the collection, storage, and analysis of large datasets; and ensure data quality, integrity, and security.
• Design, implement, and maintain data warehousing solutions, ensuring data integrity, security, and performance optimization.
• Monitor and evaluate the performance of Al systems and make necessary improvements.

*Organization Management: *

• Lead teams of Data Scientists, Machine Learning Engineers, Data and Bl specialists.
• Provide training and mentorship to team members.
• Stay updated with the latest trends and advancements in data science and Al.

*Other Duties: *

• Provide AI & Data services to Paris HQ or other subsidiaries if requested by RDMC.
• Perform other related duties or assignments as directed by the technical management.

*Qualifications: *
Essential Qualifications, Knowledge & Experience

• Bachelor's or master's degree is preferred in Computer Science, Data Science, Business Information Systems, or related STEM study.
• Good English and Arabic Language level, French is a plus

*Knowledge: *

• Strong knowledge of relevant programming languages such as Python, R, and SQL.
• Knowledge of data science techniques, Al frameworks/ models and ML tools.
• Excellent leadership and team management skills.

*Experience: *

• At least 5 years of experience in AI/ML or data related fields.
• with evidence of successfully implemented projects.
• Experience seeing or managing data projects through the full life cycle is a plus.
• Understanding of the corporate environment is required.

Desired Behaviors & Experiences

• Ability to pay attention to details.
• Strong analytical and problem-solving abilities.
• Excellent communication and presentation skills.
• Ability to work in a fast-paced and dynamic environment.

*Qualifications:
Profil de candidat recherché : *

• Bachelor's or master's degree is preferred in Computer Science, Data Science, Business Information Systems, or related STEM study.
• Good English and Arabic Language level, French is a plus

*Knowledge: *

• Strong knowledge of relevant programming languages such as Python, R, and SQL.
• Knowledge of data science techniques, Al frameworks/ models and ML tools.
• Excellent leadership and team management skills.

*Experience: *

• At least 5 years of experience in AI/ML or data related fields.
• with evidence of successfully implemented projects.
• Experience seeing or managing data projects through the full life cycle is a plus.
• Understanding of the corporate environment is required.

Data Engineering Related Responsibilities

• Design, develop, and maintain scalable and efficient data pipelines for ingesting, transforming, and processing data from various sources (e.g., databases, APIs, streaming platforms).
• Build and manage data warehouses, data lakes, and other storage solutions to enable efficient data storage and retrieval.
• Optimize and maintain data infrastructure for performance, scalability, and data quality, ensuring data consistency and integrity.
• Monitor, troubleshoot, and resolve data pipeline issues, performance bottlenecks, and data-related anomalies.
• Implement and maintain data governance practices, including data lineage, metadata management, and access controls.
• Stay up-to-date with industry trends and best practices in data engineering, recommending and implementing new technologies and techniques as appropriate.
• Collaborate with DevOps teams to ensure proper deployment and automation of data pipelines and infrastructure.
• Document technical specifications, processes, and workflows for data engineering projects.
• Collaborate with cross-functional teams to identify data needs, gather requirements, and design data collection processes.
• Clean, transform, and pre-process raw data from different sources to ensure accuracy and consistency.
• Develop and implement data analysis methodologies, utilizing statistical techniques and machine learning algorithms.
• Perform exploratory data analysis to identify trends, patterns, and correlations that can lead to actionable insights.
• Create and maintain interactive dashboards and reports using data visualization tools (e.g., Tableau, Power BI) to communicate findings effectively.
• Monitor data quality and provide recommendations for data collection and storage improvements.
• Collaborate with IT teams to ensure proper data integration and implement data governance and security measures.
• Train and support team members in understanding and using data analysis tools and techniques.
• Collaborate with cross-functional teams, including data engineers, business analysts, and data scientists, to understand data requirements and design optimal data warehouse solutions that align with business objectives.
• Develop and implement end-to-end ETL (Extract, Transform, Load) processes to ingest, transform, and load data from various sources into the data warehouse. Utilize industry-leading ETL tools to automate and streamline these processes.
• Design and maintain comprehensive data models, schemas, and structures that accommodate current and future data needs. Ensure data accuracy, integrity, and performance by implementing best practices in data modelling and management.
• Monitor and maintain data quality within the data warehouse, proactively identifying and resolving data anomalies, inconsistencies, and errors. Implement data cleansing and transformation techniques to enhance data accuracy.
• Collaborate with database administrators to optimize query performance, identifying and resolving bottlenecks through query optimization, indexing strategies, and data partitioning.
• Work closely with business analysts, data scientists, and other stakeholders to understand data consumption patterns and provide support for their analytical initiatives. Translate business requirements into effective data solutions.
• Create and maintain comprehensive documentation for data warehouse processes, including data lineage, transformations, business rules, and metadata. Ensure knowledge sharing and continuity within the team.
• Stay up-to-date with industry best practices, emerging technologies, and trends in data warehousing and analytics. Continuously evaluate and recommend new tools, techniques, and methodologies to enhance the data warehouse infrastructure.
• Collaborate with IT security and compliance teams to ensure data security, privacy, and compliance with relevant regulations.

And any other assigned tasks.

Minimum Qualifications:

• Min 9 yrs. in data analysis, data manipulation, and data visualization
  .
• Knowledge of programming languages such as Python, R, or SQL for data manipulation and analysis.
• Bachelor's degree in Computer Science, Information Technology, or a related field;
• Knowledge of programming languages such as Python, R, or SQL for data manipulation and analysis.
• Familiarity with data visualization tools like Tableau, Power BI, or similar.
• Strong understanding of statistical concepts and experience applying them to real-world data.
• Knowledge of machine learning concepts and their applications is a plus.
• Strong communication skills to present complex findings in a clear and understandable manner.
• Attention to detail and ability to work in a fast-paced, dynamic environment.
• Prior Experience in ETL tools such as Informatica, Talend, or Apache NiFi, and data integration techniques for handling structured and unstructured data is a plus.
• Experience with SQL and database systems such as SQL Server, Oracle, or PostgreSQL. Familiarity with NoSQL databases is advantageous.
• Prior experience with SAP Business Objects (BO) is a plus.
• Understanding of data modelling, dimensional modelling, and data normalization techniques.
• Excellent problem-solving skills and attention to detail, with the ability to analyse complex data challenges and devise effective solutions and ability to work independently as well as in a collaborative team environment.
• Effective communication skills to collaborate with technical and non-technical stakeholders, translating technical concepts for a diverse audience.
• Experience with cloud-based data warehousing solutions (e.g., Amazon Redshift, Google BigQuery, Snowflake) and their associated services is a plus.
• Knowledge of programming languages such as Python, Java, or Scala for scripting and automation.
• Certifications in data warehousing technologies (e.g., AWS Certified Data Analytics, Google Cloud Professional Data Engineer) are advantageous.

We are looking for a Data Science & AI Instructor to join our expert team.

Qualifications :

• +5 years of experience in Data Science, Python Workshops, AI
• Must have previous teaching experience

Teaching conditions:

• Fully online via zoom
• Teaching after 7pm
• Freelancing - part-time by contract.

apply with cv and job title on:

• -

A leading Engineering Training Company is seeking Data science & AI instructor

to join our team.

As a Data Science Instructor, you'll play a pivotal role in our trainees' development.

Responsibilities:

• Develop and refine engaging session materials that resonate with diverse learning styles.

• Curate and prepare relevant datasets for practical exercises and impactful projects.

• Deliver clear, concise, and compelling explanations of complex technical concepts.

• Provide timely and insightful support to trainees through various communication channels.

• Evaluate progress and offer constructive mentorship, guiding trainees through their learning journey.

• Stay at the forefront of industry trends, continuously updating your knowledge of new technologies and tools.

Qualifications and requirements

-5 years of experience in, Data Science and related fields

-Educational background in relevant fields such as Engineering, Computer Science, Statistics, or Business.

-Communication Skills Articulate complex ideas clearly and effectively.

-Outstanding Presentation Skills

-Command attention and inspire learning.

-High Commitment Level Dedicated to trainee success and program excellence.

Strong Leadership Skills: -Guide and motivate aspiring professionals.

Technical Skills:

• Python Programming

• Data Analysis

• Deep Learning

• Machine Learning with Python

How to Apply:

If you're passionate about technology and eager to contribute to an innovative engineering training company, please send your CV to:

-

Space Code Academy is expanding its teaching team and looking for passionate
Data Science & Machine Learning professionals
to join as
part-time instructors
. This role is ideal for experts who want to share their knowledge, mentor aspiring data scientists, and gain recognition as leaders in the field.

Responsibilities:

• Deliver interactive training sessions covering Data Science & Machine Learning.
• Guide students through practical projects, case studies, and industry applications.
• Mentor learners on tools, frameworks, and career paths.

What We Offer:

• Flexible part-time teaching schedules.
• Competitive and rewarding compensation.
• A dynamic academic community with growth opportunities.
• Recognition as a subject-matter expert in AI & Data Science.

Requirements:

• Strong expertise in
  Python
  and core libraries (NumPy, Pandas, Matplotlib, Scikit-learn).
• Solid understanding of
  Machine Learning algorithms
  (supervised & unsupervised).
• Knowledge of
  Deep Learning
  frameworks (TensorFlow / PyTorch) is a plus.
• Experience in
  Data Analysis, Statistics, and Visualization
  .
• Previous teaching or mentoring experience is highly valued.
• Excellent communication skills in English.

How to Apply:

• Send your CV to
  
  with the subject line
  "Part-Time Data Science & ML Instructor Application"
  .