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

Premier Services and Recruitment

<div>
 
 
 Forward Deployed Engineer II
 
 
 
 
 Location:
 
 Maadi, Cairo, Egypt (Hybrid)
 
 
 We are seeking a
 
 Forward Deployed Engineer II
 
 to lead the technical deployment and integration of AI-driven enterprise solutions within banking and enterprise environments. In this role, you will collaborate directly with client IT, infrastructure, security, and business teams to design deployment architectures, build integrations, and ensure successful implementation and ongoing support of client environments.
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Lead the deployment and lifecycle management of enterprise software solutions within client environments, including on-premises and highly secure infrastructures.
 </li>
 <li>
 Design deployment architectures, network topology, security requirements, integration points, and data flows.
 </li>
 <li>
 Develop and maintain technical documentation, including:
 </li>
 <li>
 API documentation
 </li>
 <li>
 Architecture diagrams
 </li>
 <li>
 Integration guides
 </li>
 <li>
 Deployment runbooks
 </li>
 <li>
 Environment handover documentation
 </li>
 <li>
 Update and rollback procedures
 </li>
 <li>
 Build and maintain integration components such as APIs, connectors, adapters, and automation scripts.
 </li>
 <li>
 Integrate solutions with enterprise platforms, including databases, messaging systems, ERP/CRM solutions, and internal APIs.
 </li>
 <li>
 Deploy and manage applications using Docker, Kubernetes, Linux, and related technologies.
 </li>
 <li>
 Manage software updates, patches, and configuration changes in production environments.
 </li>
 <li>
 Troubleshoot complex infrastructure, networking, and security issues involving VPNs, firewalls, proxies, certificates, authentication, and load balancers.
 </li>
 <li>
 Collaborate with Product, Engineering, DevOps, and Delivery teams to ensure seamless deployments and customer success.
 </li>
 <li>
 Participate in technical discovery sessions, solution design, and implementation planning.
 </li>
 <li>
 Identify opportunities to standardize deployment processes and improve delivery efficiency.
 </li>
 <li>
 Mentor junior engineers and contribute to technical best practices.
 </li>
 <li>
 Participate in on-call support and critical production escalations as required.
 </li>
 </ul>
 
 
 Qualifications
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Computer Engineering, Information Technology, or a related field.
 </li>
 <li>
 2&ndash;4 years of experience in Solutions Engineering, Systems Integration, DevOps, Technical Implementation, Backend Engineering, or a similar role.
 </li>
 <li>
 Strong hands-on experience with
 
 Python
 
 and API development using frameworks such as
 
 FastAPI
 
 ,
 
 Django
 
 , or similar.
 </li>
 <li>
 Experience deploying and managing applications using
 
 Docker
 
 ,
 
 Kubernetes
 
 , and
 
 Linux
 
 .
 </li>
 <li>
 Experience working with on-premises, private cloud, or highly secure enterprise environments.
 </li>
 <li>
 Solid understanding of networking concepts, including VPNs, firewalls, proxies, DNS, TLS/SSL, load balancers, and certificate management.
 </li>
 <li>
 Experience integrating with enterprise systems such as REST/SOAP APIs, Oracle, SQL Server, ERP, CRM, or messaging platforms.
 </li>
 <li>
 Strong troubleshooting and analytical problem-solving skills.
 </li>
 <li>
 Excellent technical documentation and communication skills.
 </li>
 <li>
 Ability to work directly with client technical and business stakeholders.
 </li>
 <li>
 Willingness to travel to client sites when required.
 </li>
 </ul>
 
 
 Preferred Skills
 
 
 <ul>
 <li>
 Experience within banking, fintech, or enterprise software environments.
 </li>
 <li>
 Knowledge of enterprise security standards and infrastructure best practices.
 </li>
 <li>
 Familiarity with CI/CD pipelines and cloud technologies.
 </li>
 <li>
 Experience working in customer-facing technical delivery roles
 </li>
 </ul>
 
 
 
</div>

Forward Deployed Engineer II

sonnen Egypt

<div>
 
 Standort
 
 
 
 Cairo, EG
 
 
 
 Stellen-ID
 
 : 4758
 
 
 Join the energy revolution with #teamsonnen!
 
 
 At sonnen, we&rsquo;re driven by a clear goal: creating a future powered by clean, affordable energy for everyone. That&rsquo;s why we make our customers independent &ndash; not only from fossil fuels, but also from rising electricity costs.
 
 
 The key to this independence is our intelligent, all-in-one energy system. It combines solar panels, battery storage, energy tariffs, and wallboxes &ndash; all developed and manufactured in Germany.
 
 
 As the first and only provider in Germany, we also connect thousands of home batteries into one shared network: the sonnenVPP, our industry-leading virtual power plant.
 
 
 In short: every day, we&rsquo;re working to shape the energy future. And we&rsquo;d be thrilled to have you join us!
 
 
 We are seeking a Data Engineer (m/f/d) to join our team and play a pivotal role in enabling our Business Intelligence and Data Science teams. As a Data Engineer, you will be responsible for maintaining and enhancing our AWS-based analytics platform, provisioning data from various sources, and enabling the development and stable operation of analytical solutions. We&rsquo;re looking for someone who shares our values, who isn&rsquo;t afraid to challenge existing processes, and who would like to work on innovative solutions in a fast-moving environment. If this sounds like you, then don&rsquo;t hesitate to get in touch.
 
 
 
 What you will do to help drive the energy transition:
 
 
 
 <ul>
 <li>
 (Senior) Define and design the architecture of our analytics platform, ensuring scalability, performance, and reliability.
 </li>
 <li>
 You design and build scalable data pipelines, ETL processes, and data lake and data warehousing solutions to support our analytics solutions.
 </li>
 <li>
 You develop and maintain data integration processes with a variety of structured and unstructured data sources.
 </li>
 <li>
 You implement, test, and maintain infrastructural components of sonnen&rsquo;s analytics platform and deploy and maintain data models.
 </li>
 <li>
 You implement data quality checks and monitoring mechanisms to ensure accuracy, completeness, and consistency of data.
 </li>
 <li>
 You define coding principles and support data scientists and analysts in implementing algorithms into operational solutions.
 </li>
 <li>
 Adhere to stringent quality assurance and documentation standards, utilizing version control and code repositories such as Gitlab.
 </li>
 <li>
 You stay up to date with emerging trends and technologies in data engineering and assess their potential applications to our business needs.
 </li>
 <li>
 (Senior) Share your knowledge by coaching/pair coding with more junior engineers.
 
 
 </li>
 </ul>
 
 What You Will Need On That Journey
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in computer science or a related technical field.
 </li>
 <li>
 +3 years of relevant employment experience in roles such as Data Scientist, Data Engineer, or Data Architect.
 </li>
 <li>
 +3 years of experience with ETL tools, Data Modeling, and Data Architecture.
 </li>
 <li>
 Experience with Big Data technologies such as Hadoop, Hive, and Spark.
 </li>
 <li>
 Ability to translate organizational goals into technical solutions.
 </li>
 <li>
 Experience with Infrastructure as Code (experience in Terraform and Ansible are a plus).
 </li>
 <li>
 Proficiency in Python, SQL, and NoSQL.
 </li>
 <li>
 Excellent communication and project management skills.
 
 
 </li>
 </ul>
 
 Stellensegment:
 
 Database, Project Manager, Data Warehouse, SQL, Quality Assurance, Technology
</div>

Data Engineer (m/f/d)

<div>
 
 We are seeking a highly motivated and experienced AI/ML Developer Level II to join our dynamic
 
 
 team. In this role, you will be a key contributor to the design, development, and deployment of
 
 
 sophisticated conversational AI systems, primarily using the RASA framework. Your deep
 
 
 expertise in Python, coupled with hands-on experience in the Google Cloud Platform (GCP)
 
 
 ecosystem, will be essential for building, scaling, and maintaining robust, enterprise-grade virtual
 
 
 assistants and chatbots. You will move beyond prototyping to take ownership of components,
 
 
 optimize model performance, and ensure the reliability of our AI solutions in production.
 
 
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 :(Must-have
 
 <ul>
 <li>
 )RASA Framework Development: Design, build, and maintain advanced conversational AI agents using the RASA Open Source and/or RASA X/Pro platforms. This includes developing complex dialogue management with stories and rules, configuring the NLU pipeline, and creating custom actions
 </li>
 <li>
 .Model Training &amp; Optimization: Train, evaluate, and fine-tune RASA NLU and dialogue models. Implement strategies for continuous improvement using conversation analytics and user feedback to enhance intent classification, entity recognition, and response quality
 </li>
 <li>
 .Python-Centric Solutioning: Write clean, eƯicient, and well-documented Python code forcustom actions, policies, and integrations. Develop scalable backend services and APIs to connect RASA agents with other business systems
 </li>
 <li>
 .Google Cloud Platform (GCP) Integration &amp; Deployment: Architect, deploy, and manage RASA bots on GCP (using Google Kubernetes Engine - GKE, Pub/Sub for messaging, Cloud Run, or Compute Engine). Utilize GCP services like Vertex AI and Dialogflow CX for complementary use-cases or hybrid architectures, and Cloud Speech-to-Text / Text-to-Speech for voice-enabled bots
 </li>
 </ul>
 
 
 
 
 
 .
 
 Nice-to-hav
 
 
 <ul>
 <li>
 e:CI/CD &amp; MLOps: Implement and maintain CI/CD pipelines for automated testing, building, and deployment of RASA models using tools like Git. Champion MLOps best practices for versioning, monitoring, and retraining model
 </li>
 <li>
 s.Data Management: Leverage Google BigQuery for analyzing conversation logs and deriving insights. Use Cloud Storage for managing training data and model artifact
 </li>
 </ul>
 
 
 
 
 
 
 s.
 
 Required Qualificatio
 
 
 
 <ul>
 <li>
 ns:Education: Bachelor&rsquo;s degree in Computer Science, Engineering, Data Science, or a related field, or equivalent practical experien
 </li>
 <li>
 ce.Experience: 3+ years of professional experience in AI/ML development, with at least 2 years of hands-on, in-depth experience building and deploying production-level chatbots with the RASA framewo
 </li>
 <li>
 rk.Programming: Strong proficiency in Python, with a solid understanding of software engineering principles, design patterns, and API developme
 </li>
 <li>
 nt.Google Cloud Platform: Proven, hands-on experience with core GCP services, includi
 </li>
 <li>
 ng:Compute: Google Kubernetes Engine (GKE), Cloud Run, or App Engi
 </li>
 <li>
 ne.AI/ML Services: Practical knowledge of Dialogflow and/or Cloud Natural Language A
 </li>
 <li>
 PI.Infrastructure: Cloud Storage, Cloud Build, IAM, and VPC networki
 </li>
 <li>
 ng.Machine Learning Fundamentals: Solid understanding of NLP fundamentals (intent detection, entity extraction, context management) and practical experience with machine learning libraries (e.g., scikit-learn, spaCy, Transformer
 </li>
 <li>
 s).Version Control &amp; Collaboration: High proficiency with Git in a collaborative team environme
 </li>
 </ul>
 
 
 
 
 
 
 nt.
 
 Soft Skills &amp; Other Requireme
 
 
 
 <ul>
 <li>
 nts:Problem-Solving: Excellent analytical and problem-solving skills with the ability to troubleshoot complex technical issues in distributed syst
 </li>
 <li>
 ems.Ownership &amp; Initiative: A proactive mindset with the ability to take ownership of projects from conception to deployment and beyond, working with minimal supervis
 </li>
 <li>
 ion.Communication: Strong verbal and written communication skills. Ability to clearly articulate technical concepts to both technical and non-technical stakehold
 </li>
 <li>
 ers.Agile Methodology: Experience working in an Agile/Scrum development proc
 </li>
 <li>
 ess.Team Player: A collaborative attitude, with a willingness to mentor junior developers and share knowledge with the t
 </li>
 <li>
 eam.Continuous Learning: A passion for staying up-to-date with the rapidly evolving field
 </li>
 <li>
 s ofConversational AI, MLOps, and cloud technolog
 </li>
 </ul>
 
 
 
 
 ies.
 
 Preferred Qualifications (Bo
 
 <ul>
 <li>
 nus):GCP Professional Machine Learning Engineer or other GCP certificat
 </li>
 <li>
 ions.Experience with containerization technologies (Docker) and orchestration (Kuberne
 </li>
 <li>
 tes).Knowledge of infrastructure-as-code tools like Terra
 </li>
 </ul>
 
 
 
 form.
</div>

Artificial Intelligence Engineer

<div>
 
 
 About the Role
 
 
 
 
 
 
 We are seeking an experienced AI/ML Developer Level II to join our Innovation &amp; Software Solutions team. In this role, you will be responsible for designing, developing, deploying, and optimizing enterprise-grade conversational AI solutions using the RASA framework, Python, and Google Cloud Platform (GCP). Working closely with cross-functional teams, you will build scalable, production-ready virtual assistants and intelligent automation solutions while driving continuous improvements in machine learning models, NLP performance, and MLOps practices. This is an excellent opportunity for a proactive developer who is passionate about conversational AI, cloud technologies, and delivering innovative AI-powered solutions at scale.
 
 
 
 
 
 
 
 
 
 Responsibilities:
 
 
 
 
 
 <ul>
 <li>
 Design, develop, and maintain enterprise-grade conversational AI solutions using RASA Open Source and RASA Pro/X.
 </li>
 <li>
 Develop complex dialogue flows, NLU pipelines, custom actions, stories, and rules.
 </li>
 <li>
 Train, evaluate, fine-tune, and optimize NLP models to improve chatbot performance, intent recognition, entity extraction, and user experience.
 </li>
 <li>
 Build clean, scalable, and maintainable backend services and APIs using Python.
 </li>
 <li>
 Deploy, monitor, and manage AI applications on Google Cloud Platform (GKE, Cloud Run, Compute Engine, Pub/Sub, Vertex AI, Dialogflow, Cloud Speech-to-Text, and Text-to-Speech).
 </li>
 <li>
 Integrate conversational AI solutions with enterprise systems and third-party services.
 </li>
 <li>
 Contribute to CI/CD pipelines, automated testing, model versioning, and MLOps best practices.
 </li>
 <li>
 Analyze conversational data using BigQuery and leverage Cloud Storage for managing training datasets and model artifacts.
 </li>
 <li>
 Collaborate within an Agile development environment and mentor junior team members when needed.
 </li>
 </ul>
 
 
 
 
 
 Qualifications:
 
 
 
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Software Engineering, Data Science, or a related discipline, or equivalent practical experience.
 </li>
 <li>
 Strong hands-on experience with Python and software engineering best practices.
 </li>
 <li>
 Proven experience developing conversational AI solutions using RASA.
 </li>
 <li>
 Hands-on experience with Google Cloud Platform (GCP) services.
 </li>
 <li>
 Strong understanding of Natural Language Processing (NLP) concepts, including intent classification, entity recognition, dialogue management, and context handling.
 </li>
 <li>
 Experience working with machine learning frameworks such as spaCy, scikit-learn, or Transformers.
 </li>
 <li>
 Proficiency with Git and collaborative software development workflows.
 </li>
 <li>
 Excellent analytical, problem-solving, and communication skills.
 </li>
 </ul>
 
 
 
 
 
 Preferred Skills:
 
 
 
 
 
 <ul>
 <li>
 Experience with Docker and Kubernetes.
 </li>
 <li>
 Knowledge of Terraform or other Infrastructure-as-Code tools.
 </li>
 <li>
 Experience implementing CI/CD pipelines and MLOps workflows.
 </li>
 <li>
 Google Cloud certifications, particularly Professional Machine Learning Engineer, are highly desirable.
 </li>
 </ul>
 
 
</div>

AI/ML Developer Level II

Confidential

<div>
 
 
 
 Role Objectives
 
 
 
 
 As a Software Mobile Engineer III specialized in React Native, you'll collaborate with cross functional teams to define, design, and deliver new features, integrating external data sources and APIs. You'll contribute to feature development aligned with the product roadmap, demonstrate leadership in project architecture and code quality, and adhere to coding best practices and agile methodologies. Your role entails implementing user stories with modern design and coding standards.
 
 
 
 
 
 
 
 Roles &amp; Responsibilities:
 
 
 
 
 
 
 <ul>
 <li>
 Collaborate with cross-functional teams to define, design, and ship new features.
 </li>
 <li>
 Work with outside data sources and API.
 </li>
 <li>
 Help in developing new features following our product roadmap.
 </li>
 <li>
 Exercise leadership in project architecture &amp; code quality.
 </li>
 <li>
 Follow coding best-practices.
 </li>
 <li>
 Follow agile/continuous integration engineering best practices.
 </li>
 <li>
 Implement user stories using modern design and coding best practices.
 </li>
 </ul>
 
 
 
 
 
 
 REQUIRED EDUCATION, KNOWLEDGE, AND SKILLS
 
 
 
 
 
 
 
 Must have a Bachelor's degree, preferably in Computer Science or Engineering.
 
 
 3+ years experience developing react native mobile apps.
 
 
 Experience with JavaScript and TypeScript.
 
 
 Good experience with Redux.
 
 
 Experience with iOS/Android native development is a plus.
 
 
 Experience with crash reporting and application logging solutions.
 
 
 Experience integrating with third-party libraries and APIs.
 
 
 Shipped production quality Android applications.
 
 
 Solid understanding of the full mobile development lifecycle.
 
 
 Understanding of analytics.
 
 
 Solid understanding of Gitflow.
 
 
 Experience with GraphQL is a plus.
 
 
 Experience with e-commerce/fintech/supply chain business is a plus.
 
</div>

Software Mobile Engineer III - RN

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