analytics engineer ii

talabat

<div>
 Since launching in Kuwait in 2004, talabat, the leading on-demand food and Q-commerce app for everyday deliveries, has been offering convenience and reliability to its customers. talabat&rsquo;s local roots run deep, offering a real understanding of the needs of the communities we serve in eight countries across the region.
 
 
 We harness innovative technology and knowledge to simplify everyday life for our customers, optimize operations for our restaurants and local shops, and provide our riders with reliable earning opportunities daily.
 
 
 Here at talabat, we are building a high performance culture through engaged workforce and growing talent density. We're all about keeping it real and making a difference. Our 6,000+ strong talabaty are on an awesome mission to spread positive vibes. We are proud to be a multi great place to work award winner.
 
 
 
 Job Description
 
 
 
 As the leading delivery company in the region, we have a great responsibility and opportunity to impact the lives of millions of customers, restaurant partners, and riders. To realize our potential, we need to advance our platform to become much more intelligent in how it understands and serves our users.
 
 
 As a n Analytics Engineer, you will be responsible for transforming raw data into well-structured, reliable, and accessible data models that enable analysts, data scientists, and business stakeholders to make informed decisions. You will work closely with data engineers to build scalable data pipelines and collaborate with analysts to ensure data is actionable and insightful.
 
 
 <ul>
 <li>
 Design, build, and maintain clean, efficient, and scalable data models in SQL and dbt. Optimize query performance and data processing efficiency.
 </li>
 <li>
 Ensure data is structured to support self-service analytics and business intelligence.
 </li>
 <li>
 Work closely with data engineers to define data requirements and enhance ETL pipelines.
 </li>
 <li>
 Partner with product analysts, data scientists, and business teams to ensure data meets analytical and reporting needs.
 </li>
 <li>
 Implement and enforce data quality best practices to ensure accuracy and consistency.
 </li>
 <li>
 Develop and maintain data transformation workflows using dbt, SQL, and cloud-based data platforms. Automate data validation and reporting processes.
 </li>
 <li>
 Monitor data integrity and troubleshoot data issues proactively. Advocate for best practices in documentation, testing, and version control.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor's degree in engineering, computer science, technology, or similar fields. A postgraduate degree is a plus but not required.
 </li>
 <li>
 Strong proficiency in Python, SQL and experience with dbt for data modeling.
 </li>
 <li>
 Experience working with cloud-based data warehouses (e.g., Snowflake, BigQuery, GCP, Redshift).
 </li>
 <li>
 Familiarity with version control (Git) and CI/CD practices for data workflows.
 </li>
 <li>
 Understanding of data engineering principles, including ETL/ELT processes.
 </li>
 </ul>
</div>

Analytics Engineer II

Arrow Electronics

<div>
 
 Position
 
 
 
 Senior Data Engineer
 
 
 
 Job Description
 
 
 
 Seeking an experienced Senior Data Engineer to design, development, and optimization of
 
 
 our data pipelines, data models, and analytics infrastructure. The ideal candidate has
 
 
 strong experience in building scalable data platforms across operational systems and
 
 
 enterprise data warehouses.
 
 
 Key Responsibilities
 
 
 Core Responsibilities
 
 
 <ul>
 <li>
 Design, build, and maintain scalable ETL/ELT pipelines for structured and unstructured data.
 </li>
 <li>
 Develop high-quality data integration workflows using modern data engineering tools and frameworks.
 </li>
 <li>
 Optimize data processing performance, storage usage, and pipeline reliability.
 </li>
 <li>
 Implement data quality checks, validation rules, and monitoring dashboards.
 </li>
 <li>
 Collaborate with data analysts, data scientists, and business teams to deliver reliable datasets suitable for reporting and analytics.
 </li>
 <li>
 Manage data security, access controls, and governance best practices.
 </li>
 <li>
 Support production workflows, troubleshoot issues, and improve platform stability.
 
 
 </li>
 </ul>
 Additional Responsibilities for Data Models &amp; Structures (Operational + DW)
 
 
 <ul>
 <li>
 Own the design and maintenance of logical and physical data models for
 
 
 </li>
 </ul>
 operational systems and enterprise data warehouse (OLTP + DWH).
 
 
 <ul>
 <li>
 Define and enforce data modeling standards, naming conventions, and schema governance.
 </li>
 <li>
 Translate business processes into efficient database schemas, including star/snowflake models.
 </li>
 <li>
 Optimize queries and database structures for high-performance analytics and real-time data access.
 </li>
 <li>
 Work closely with DBAs, architects, and product teams to ensure data models meet scalability and performance requirements.
 </li>
 <li>
 Lead database refactoring efforts, schema evolution, and versioning processes.
 </li>
 <li>
 Perform impact analysis for schema changes across upstream and downstream systems.
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 Must-Have Requirements
 
 
 <ul>
 <li>
 5+ years of experience as a Data Engineer or similar role.
 </li>
 <li>
 Strong Python Skills and Experience
 </li>
 <li>
 Strong SQL /PLSQL skills and experience with relational databases (Oracle, PostgreSQL, MySQL, or similar).
 </li>
 <li>
 Experience with NoSQL databases and streaming systems (Kafka, Kinesis, etc.).
 </li>
 <li>
 Hands-on experience with data processing frameworks (Spark, Databricks, or similar).
 </li>
 <li>
 Proficiency with cloud platforms (AWS).
 </li>
 <li>
 Experience with workflow orchestration (Airflow, Prefect, or similar).
 </li>
 <li>
 Strong understanding of ETL/ELT patterns, data warehousing concepts, and BI fundamentals.
 </li>
 <li>
 Proven ability to design robust data models and optimize database structures.
 </li>
 <li>
 Knowledge of data governance, cataloging, and metadata management.
 
 
 </li>
 </ul>
 Nice-to-Have Skills
 
 
 <ul>
 <li>
 Familiarity with CI/CD, infrastructure-as-code, and DevOps practices.
 </li>
 <li>
 Experience with real-time analytics or high-volume distributed data systems
 
 
 </li>
 </ul>
 
 Location:
 
 
 
 EG-Cairo, Egypt (Al Emdad &amp; Al Tamween)
 
 
 
 Time Type
 
 
 
 Full time
 
 
 
 Job Category
 
 
 
 Information Technology
</div>

Senior Data Engineer

Sana Commerce

<div>
 
 What started in 2007 with a pizza and a plan has grown into a fast-moving SaaS company empowering manufacturers, distributors, and wholesalers to thrive in complex B2B commerce.
 
 
 
 
 Our mission is simple: help businesses build stronger relationships through seamless digital commerce.
 
 
 
 
 At Sana Commerce, you&rsquo;ll join a team that&rsquo;s bold, growth-oriented, and customer-obsessed, where every engineer has real ownership and impact.
 
 
 
 
 We are looking for a
 
 Senior Data Engineer
 
 to design, build, and optimize our
 
 Azure and Databricks-based data infrastructure
 
 . You will play a critical role in developing scalable
 
 ETL pipelines, data ingestion frameworks, and
 
 
 contribute to
 
 
 AI/ML-powered solutions
 
 that drive internal decision-making and customer-facing insights.
 
 
 
 
 This is a hands-on role that requires expertise in
 
 Azure Data Services, Databricks, and Python/SQL
 
 . You will work closely with
 
 Data Architects, Engineers, and Product teams
 
 to develop robust data solutions that power
 
 analytics, personalization, and AI-driven customer experiences
 
 .
 
 
 
 
 
 
 Job Description
 
 
 
 
 
 Data Pipeline Development &amp; Infrastructure
 
 
 
 
 <ul>
 <li>
 Design, build, and maintain
 
 scalable data pipelines
 
 </li>
 <li>
 Develop
 
 real-time and batch data processing
 
 frameworks for structured and unstructured data.
 </li>
 <li>
 Implement
 
 ETL/ELT workflows
 
 to ingest data from various sources, ensuring
 
 high availability and performance
 
 .
 </li>
 <li>
 Optimize
 
 data storage and retrieval
 
 of data in (near) real time and batch processes
 </li>
 <li>
 Ensure
 
 cost-efficient
 
 and
 
 high-performance
 
 data infrastructure that scales with business needs.
 </li>
 </ul>
 
 
 Data Solutions &amp; AI-Driven Applications
 
 
 
 
 <ul>
 <li>
 develop data pipelines for
 
 ML recommenders, search functionality, and AI-enhanced features
 
 .
 </li>
 <li>
 Develop and maintain
 
 data models, APIs, and integrations
 
 to support analytics and customer applications.
 </li>
 <li>
 Support
 
 eCommerce-related data solutions
 
 , including product recommendations, customer segmentation, and personalization models.
 </li>
 </ul>
 
 
 Collaboration &amp; Continuous Improvement
 
 
 
 
 <ul>
 <li>
 Work closely with
 
 Data Architects, Analysts, and Product Teams
 
 to understand data requirements and deliver best-in-class solutions.
 </li>
 <li>
 Monitor and troubleshoot
 
 performance issues
 
 , ensuring high availability and efficiency of data pipelines.
 </li>
 <li>
 Continuously optimize
 
 cost, performance, and scalability
 
 of data engineering solutions.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 6+ years of experience as a
 
 Data Engineer
 
 , working with
 
 Azure and Databricks
 
 </li>
 <li>
 Strong expertise in
 
 data pipeline development, ETL workflows, and real-time/batch data processing
 
 .
 </li>
 <li>
 Experience in
 
 big data technologies, and large-scale data storage
 
 .
 </li>
 <li>
 Familiarity with
 
 data governance, security, and compliance best practices
 
 and
 
 tools
 
 </li>
 <li>
 Proficiency in
 
 Python,
 
 
 and
 
 
 SQL,
 
 for data transformation, data quality and automation.
 </li>
 <li>
 Strong experience in
 
 optimizing data performance and cost-efficiency in cloud environments
 
 .
 </li>
 </ul>
 
 
 Nice to Have
 
 
 
 
 <ul>
 <li>
 Experience with
 
 eCommerce data solutions
 
 , such as customer segmentation, recommendation engines, and personalization models.
 </li>
 <li>
 Knowledge of
 
 event-driven architectures, streaming data processing, and real-time analytics
 
 .
 </li>
 <li>
 Familiarity with
 
 LLM-based AI applications and OpenAI
 
 
 or similar
 
 
 APIs
 
 .
 </li>
 </ul>
 
 
 Why you&rsquo;ll love working here
 
 
 
 
 <ul>
 <li>
 Impact from day one &ndash; Join a scale-up where your ideas shape how global businesses operate online.
 </li>
 <li>
 Continuous learning &ndash; Access a structured onboarding rated 9.1/10 by previous hires, mentorship, and feedback culture.
 </li>
 <li>
 Hybrid flexibility &ndash; Work from our office in Alexandria 3 days per week and from home 2 days.
 </li>
 <li>
 Career growth &ndash; Expand your technical and leadership scope in a company built for long-term success.
 </li>
 </ul>
 
 
 Our values
 
 
 
 
 
 At Sana Commerce, our values drive everything we do:
 
 
 
 <ul>
 <li>
 Champions of Our League &ndash;
 
 We deliver lasting success, balancing quick wins and long-term value
 
 </li>
 <li>
 Supercharge Our Customers &ndash;
 
 We&rsquo;re revolutionizing B2B commerce together, helping our customers to lead and succeed.
 
 </li>
 <li>
 Determined to Grow &ndash;
 
 We embrace challenges, growing and raising the bar for ourselves and our industry.
 
 </li>
 <li>
 Bold Together &ndash;
 
 We dare to be bold because we have each other&rsquo;s back.
 
 </li>
 </ul>
 
 
 Ready to build reliability that scales?
 
 
 
 
 
 Apply now and help shape the foundation of our next-generation SaaS platform.
 
 
 
 
 
 
 Additional Information
 
 
 
 
 
 
 
 
 
 
 
</div>

Senior Data Engineer - Alexandria

Whitehall Resources

<div>
 
 
 
 Senior IoT Solutions Engineer
 
 
 
 
 An exciting new
 
 Senior IoT Solutions Engineer
 
 opportunity has arisen, working for a leading organisation investing in the next generation of connected products and smart technology solutions.
 
 
 In this role, you will play a key part in designing, developing and supporting scalable IoT platforms. You'll work across the full IoT lifecycle, helping to deliver innovative connected solutions used in commercial environments.
 
 
 If you are an experienced IoT Engineer with strong cloud, integration and data platform expertise, we would love to hear from you!
 
 
 
 
 Do you have:
 
 
 
 <ul>
 <li>
 5+ years' experience designing and delivering enterprise IoT solutions
 </li>
 <li>
 Strong experience with IoT platforms, and cloud-based architectures
 </li>
 <li>
 Experience with Azure IoT or similar cloud IoT platforms
 </li>
 <li>
 Hands-on experience with REST APIs, MQTT, Kafka and event-driven integration patterns
 </li>
 <li>
 Experience working with SQL databases
 </li>
 <li>
 Deep understanding of commercial IoT use cases
 </li>
 <li>
 Experience integrating IoT platforms with enterprise applications, data platforms and analytics solutions
 </li>
 <li>
 Excellent problem-solving skills with experience troubleshooting connectivity and performance issues
 </li>
 </ul>
 
 
 
 Do you want:
 
 
 
 <ul>
 <li>
 To play a key role in the design and evolution of enterprise IoT platforms?
 </li>
 <li>
 To work with modern cloud, data and integration technologies?
 </li>
 <li>
 To collaborate with international engineering, data and product teams?
 </li>
 <li>
 To be part of exciting projects delivering connected products at scale?
 </li>
 </ul>
 
 
 If so, then please do apply!
 
 
 
 
 IoT | Azure | MQTT | Kafka | REST API | Event-Driven Architecture | Cloud Integration | SQL | Python | JavaScript | Node.js
 
 
</div>

Senior IoT Solutions Engineer

Integrant, Inc.

<div>
 
 We're on the lookout for exceptional individuals to join our team as
 
 Principal Data Engineers
 
 . As a part of our team, you'll be driving change and making a significant impact in the gaming industry.
 
 <ul>
 <li>
 Lead the design, development, and maintenance of end-to-end data analytical solutions using Microsoft on-premises and cloud technologies.
 </li>
 <li>
 Engage in collaborative requirement elicitation activities with our valued clientele.
 </li>
 <li>
 Mentor and guide junior team members in the field of data engineering.
 </li>
 <li>
 Showcase your expertise by delivering innovative analytical solutions to our clients and contributing to knowledge transfer within the organization.
 </li>
 
 </ul>
 
 Requirements
 
 
 <ul>
 <li>
 6+ years of experience as a data engineer.
 </li>
 <li>
 Familiarity with analytical architectures including Data Warehouses, Data Lakes and Data Lakehouses.
 </li>
 <li>
 Knowledge of Microsoft relational engines available - both on-premises (MS SQL Server) and on the cloud (Azure SQL, Azure Synapse Analytics Dedicated Pools).
 </li>
 <li>
 Knowledge of query and workload optimization.
 </li>
 <li>
 Knowledge of administrating and managing analytical solutions both on premises and on the cloud.
 </li>
 <li>
 Knowledge of NoSQL offerings on Azure (e.g. CosmosDB).
 </li>
 <li>
 Knowledge of setting up Data Lakes on ADLS gen 2 and Azure Synapse Analytics.
 </li>
 <li>
 Knowledge of using SSIS and Azure Data Factory to set up ETL jobs.
 </li>
 <li>
 Knowledge of setting up OLAP solutions using SSAS.
 </li>
 <li>
 Familiarity with Azure Data Catalog to manage data lake metadata.
 </li>
 <li>
 Knowledge of governance over Azure based analytical solutions including using tools such as Purview, Active Directory, Key Vault, Azure DevOps, etc.
 </li>
 <li>
 Knowledge of using Azure Stream Analytics to capture and analyze data in real time.
 </li>
 <li>
 Knowledge of setting up data warehouse solutions both on-premises (using MS SQL Server) and on the cloud (using Azure Synapse Analytics).
 </li>
 <li>
 Knowledge of Dimensional Modeling (Dimensions, Facts, Slowly Changing Dimensions, Outriggers, Role Playing Dimensions, Junk Dimensions, Degenerate Dimensions, Multi-valued Dimensions, Transactional Facts, Periodic Snapshot Facts and Accumulating Snapshot Facts).
 </li>
 <li>
 Knowledge of implementing common ETL patterns to support data warehouse workloads.
 </li>
 <li>
 Knowledge of using U-SQL, PolyBase and Azure Data Lake Analytics to perform federated querying.
 </li>
 <li>
 Knowledge of PowerBI.
 </li>
 <li>
 Familiarity with SSRS.
 </li>
 <li>
 
 Snowflake Experience:
 
 Experience with Snowflake is required.
 </li>
 </ul>
 
 Nice to Have:
 
 <ul>
 <li>
 An MSc in Computer Science or other relevant field.
 </li>
 <li>
 Familiarity with Azure Databricks.
 </li>
 <li>
 Familiarity with DataOps
 </li>
 <li>
 Familiarity with Azure Cognitive Services.
 </li>
 <li>
 Familiarity with Azure ML.
 </li>
 <li>
 Familiarity with MLOps.
 </li>
 <li>
 Familiarity of containerization tools and frameworks (Docker, Kubernetes, etc.)
 </li>
 <li>
 Familiarity with Azure HD Insight.
 </li>
 <li>
 Familiarity with the Hadoop ecosystems, including tools like Hive, Spark and Kafka.
 </li>
 <li>
 Familiarity with Azure Functions to perform lightweight transformations.
 
 </li>
 </ul>
 
 Benefits
 
 
 <ul>
 <li>
 Salary paid in USD
 </li>
 <li>
 Six-month career advancing opportunities
 </li>
 <li>
 Supportive and friendly work environment
 </li>
 <li>
 Premium medical insurance [employee +family]
 </li>
 <li>
 English language development courses
 </li>
 <li>
 Interest-free loans paid over 2.5 years
 </li>
 <li>
 Technical development courses
 </li>
 <li>
 Planned overtime program (POP)
 </li>
 <li>
 Employment referral program
 </li>
 <li>
 Premium location in Maadi
 </li>
 <li>
 Social insurance
 </li>
 </ul>
</div>

Principal Data Engineer

Succedo Labs

<div>
 About Succedo Labs
 
 Succedo Labs is an AI-native product studio helping startups and enterprises launch premium digital products at startup speed.
 
 
 We build:
 
 <ul>
 <li>
 AI Solutions &amp; Automation
 </li>
 <li>
 SaaS Platforms
 </li>
 <li>
 Mobile Applications
 </li>
 <li>
 Data &amp; Analytics Dashboards
 </li>
 <li>
 Custom Software Products
 </li>
 </ul>
 <li>
 
 </li>
 
 We're looking for an exceptional
 
 AI Product Engineer
 
 who can transform ideas into production-ready products using modern AI-powered development workflows.
 
 
 This is not a traditional software engineering role.
 
 
 We're looking for builders who leverage AI to move faster, think like product owners, and ship high-quality products rapidly.
 
 
 
 
 What You'll Do
 <ul>
 <li>
 Build web and mobile applications using AI-assisted development tools.
 </li>
 <li>
 Turn product requirements into working MVPs and production-ready solutions.
 </li>
 <li>
 Collaborate directly with founders, clients, and designers.
 </li>
 <li>
 Design and implement AI-powered features and workflows.
 </li>
 <li>
 Integrate APIs, databases, authentication systems, and third-party services.
 </li>
 <li>
 Continuously improve development speed, quality, and automation.
 </li>
 <li>
 Contribute to technical architecture and product decisions.
 
 </li>
 </ul>
 What We're Looking For
 
 Must Have
 <ul>
 <li>
 Strong experience building modern web applications.
 </li>
 <li>
 Experience with AI-assisted development workflows.
 </li>
 <li>
 Ability to independently build complete products from concept to deployment.
 </li>
 <li>
 Strong problem-solving and product-thinking mindset.
 </li>
 <li>
 Excellent communication skills.
 
 </li>
 </ul>
 Preferred Experience
 <ul>
 <li>
 Replit
 </li>
 <li>
 Cursor
 </li>
 <li>
 OpenAI APIs
 </li>
 <li>
 Claude
 </li>
 <li>
 Supabase
 </li>
 <li>
 Next.js
 </li>
 <li>
 React
 </li>
 <li>
 Vercel
 </li>
 <li>
 PostgreSQL
 </li>
 <li>
 AI Agents &amp; Automation
 
 </li>
 </ul>
 Success Metrics
 <ul>
 <li>
 Speed of product delivery.
 </li>
 <li>
 Quality of shipped solutions.
 </li>
 <li>
 Client satisfaction.
 </li>
 <li>
 Ability to turn ideas into working products quickly.
 </li>
 <li>
 Contribution to improving our AI-native development processes.
 
 </li>
 </ul>
 What We Offer
 <ul>
 <li>
 Competitive salary.
 </li>
 <li>
 Flexible remote work.
 </li>
 <li>
 Opportunity to work on innovative AI and digital product projects.
 </li>
 <li>
 Direct collaboration with founders and clients.
 </li>
 <li>
 Exposure to startups, enterprise projects, and emerging technologies.
 </li>
 <li>
 Significant growth opportunities as Succedo Labs expands.
 
 </li>
 </ul>
 Why Join Succedo Labs?
 
 We're building a new kind of product studio&mdash;one that combines product thinking, AI, and modern development workflows to launch products faster than traditional teams.
 
 
 If you're excited about building real products, leveraging AI, and working in a fast-moving environment, we'd love to hear from you.
 
 
 📩
 
 Apply at:
 
 hello@succedo.ai
 
 <ul>
 <li>
 
 Subject:
 
 AI Product Engineer &ndash; Succedo Labs
 </li>
 </ul>
</div>

AI Product Engineer

BCG X

<div>
 Who We Are
 
 
 Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact.
 
 
 To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures&mdash;and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive.
 
 
 
 We Are BCG X
 
 
 
 We&rsquo;re a diverse team of more than 3,000 tech experts united by a drive to make a difference. Working across industries and disciplines, we combine our experience and expertise to tackle the biggest challenges faced by society today. We go beyond what was once thought possible, creating new and innovative solutions to the world&rsquo;s most complex problems. Leveraging BCG&rsquo;s global network and partnerships with leading organizations, BCG X provides a stable ecosystem for talent to build game-changing businesses, products, and services from the ground up, all while growing their career. Together, we strive to create solutions that will positively impact the lives of millions.
 
 
 What You'll Do
 
 
 Our BCG X teams own the full analytics value-chain end to end: framing new business challenges, designing innovative algorithms, implementing, and deploying scalable solutions, and enabling colleagues and clients to fully embrace AI. Our product offerings span from fully custom-builds to industry specific leading edge AI software solutions.
 
 
 As an AI Software Engineer you&rsquo;ll be part of our rapidly growing engineering team and help to build the next generation of AI solutions. You&rsquo;ll have the chance to partner with clients in a variety of BCG regions and industries, and on key topics like climate change, enabling them to design, build, and deploy new and innovative solutions.
 
 
 What You'll Bring
 
 
 We Are Looking For Talented Individuals With a Passion For Software Development, Large-scale Data Analytics And Transforming Organizations Into AI Led Innovative Companies. Successful Candidates Possess The Following
 
 
 <ul>
 <li>
 Apply software development practices and standards to develop robust and maintainable software
 </li>
 <li>
 Actively involved in every part of the software development life cycle
 </li>
 <li>
 Experienced at guiding non-technical teams and consultants in and best practices for robust software development
 </li>
 <li>
 Optimize and enhance computational efficiency of algorithms and software design
 </li>
 <li>
 Motivated by a fast-paced, service-oriented environment and interacting directly with clients on new features for future product releases
 </li>
 <li>
 Enjoy collaborating in teams to share software design and solution ideas
 </li>
 <li>
 A natural problem-solver and intellectually curious across a breadth of industries and topics
 </li>
 <li>
 4+ years of relevant experience.
 
 
 </li>
 </ul>
 
 Technologies
 
 
 
 Programming Languages: Python
 
 
 Additional info
 
 
 #BCGXjob
 
 
 Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws.
 
 
 BCG is an E - Verify Employer. Click here for more information on E-Verify.
</div>

Forward Deployed AI Engineer, Egypt - BCG X

Explore 82+ Analytics engineer ii in Cairo this July. Find roles across top companies and apply now to boost your career.