67 Data Professional 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.

Organi group is looking for the following position to join us.

SAP Materials Master Data Engineer

Location : Fifth Settlement

Job purpose :

This role is essential in ensuring accuracy, standardization, and efficiency in managing materials master data across major construction and contracting projects.

Job Description:

• Manage and maintain SAP Materials Master Data across multiple projects

• Ensure accuracy, standardization, and prevent duplication of materials.

• Collaborate with Procurement, Warehousing, and Project teams

• Support construction operations with accurate and structured materials data.

• Monitor and enhance data quality while ensuring compliance with governance standards.

Qualifications and Skills:

• 3–5 years of experience in SAP MM (Materials Master focus).

• Strong knowledge of construction materials (civil, mechanical, electrical).

• Previous experience in Construction / Contracting / MEP industries preferred.

• Excellent skills in Excel, data validation, and analysis.

• Strong communication and teamwork abilities.

• Fluency in English (written & spoken)

If interested, send your CV to - with the job title mentioned in the subject.

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.

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.