data engineer

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data pipeline engineer

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

Coca-Cola HBC

<div>
 
 
 Department:
 
 Data Insights &amp; Automation, Digital &amp; Technology Platform Services.
 
 
 
 Location:
 
 Cairo, Egypt.
 
 
 
 
 
 We are looking for a highly skilled and experienced
 
 Azure Data Engineer
 
 with significant technical skills in Azure and strong business acumen to join our team in Coca-Cola Hellenic Digital &amp; Technology Platform Services (DTPS) and be part of the Data Platforms team. You will have the opportunity to contribute to the strategy, design and development of our Enterprise and Operational Reporting, providing insights and supporting decision making for end users.
 
 
 The role involves significant collaboration with business and IT teams, opportunity to integrate and transform data from various data systems into structures that are suitable for building analytical solutions, design, develop and implement Azure-based solutions connecting certified and validated data sources to Power BI front-end visualizations - creating a single source of truth for reporting across CCH.
 
 
 
 
 
 
 YOUR KEY RESPONSIBILITIES:
 
 
 
 &bull; Design, build, and maintain scalable ELT/ETL pipelines using Azure Data Factory, ensuring reliability and performance at terabyte scale.
 
 
 &bull; Contribute to end-to-end pipeline health: monitoring, alerting, incident response, and continuous improvement.
 
 
 &bull; Identify and resolve bottlenecks across ingestion, transformation, and serving layers; drive measurable performance gains.
 
 
 &bull; Implement and extend existing medallion architecture patterns.
 
 
 &bull; Develop data ingestion processes from multiple sources, ensuring accuracy, completeness, and consistency.
 
 
 &bull; Support the migration from SAP BW, ensuring data continuity and quality throughout.
 
 
 &bull; Ensure data integrity and availability through appropriate storage solutions, partitioning strategies, and access controls.
 
 
 &bull; Work independently on clearly scoped tasks, communicating progress and blockers regularly with your team.
 
 
 &bull; Collaborate with data scientists, BI analysts, and business stakeholders to understand requirements and translate them into technical solutions.
 
 
 &bull; Participate in agile ceremonies, contribute to sprint planning, and own your backlog items end-to-end.
 
 
 
 
 
 
 ARE THESE YOUR SECRET INGREDIENTS?
 
 
 
 &bull; Bachelor's degree in Information Technology, Computer Science, or related field.
 
 
 &bull; 3+ years of experience in data engineering with hands-on exposure to Azure (Azure Data Factory, Azure Data Lake Storage, Fabric).
 
 
 &bull; Proven experience designing and building production-grade data pipelines that handle large volumes of data reliably.
 
 
 &bull; Strong SQL skills and experience with data modelling, schema design, and query optimization.
 
 
 &bull; Hands-on experience with Databricks (PySpark / Spark SQL) for large-scale data transformation.
 
 
 &bull; Working proficiency in Python; exposure to Scala or C#/.NET is a plus.
 
 
 &bull; Understanding of data warehouse and lakehouse concepts.
 
 
 &bull; Ability to manage your own tasks within a defined sprint scope and deliver consistently.
 
 
 &bull; Good communication skills - able to translate technical concepts for business stakeholders and vice versa.
 
 
 &bull; Excellent problem-solving and debugging skills.
 
 
 &bull; Excellent spoken and written English
 
 
 &bull; Communication, organizational and analytical skills
 
 
 
 Preferred Qualifications:
 
 
 
 &bull; Exposure to real-time or near-real-time streaming concepts (Azure Event Hubs, Apache Kafka, or Spark Streaming).
 
 
 &bull; Basic experience with CI/CD practices, Git version control, and familiarity with Azure DevOps.
 
 
 &bull; Familiarity with infrastructure-as-code concepts (Terraform) is a bonus.
 
 
 &bull; Awareness of SAP BW data structures and export mechanisms; prior migration experience is not expected.
 
 
 &bull; Some exposure to big data technologies such as Hadoop, Spark, or Hive.
 
 
 &bull; Curious, problem-solving mindset - comfortable digging into issues with support from senior teammates.
 
 
 &bull; Exposure to Power BI or DAX for understanding how data is consumed downstream.
 
 
 
 
 
 
 ABOUT YOUR NEW TEAM:
 
 
 
 We are Coca-Cola Hellenic, a growth-focused consumer goods business and strategic bottling partner of the Coca-Cola Company. We bottle, distribute and sell an unrivalled range of products in 29 markets in Europe, Africa and Eurasia. As we do, we create value for all stakeholders, support socio-economic growth and build a more positive environmental impact.
 
 
 We bring together more than 30,000 people from over 70 nationalities, coming from five continents. The diversity of our markets, from mature to emerging economies, provides a wide range of attractive opportunities for growth.
 
 
 We nurture our talents. We give opportunities to people across all functions and levels, as well as different geographies, backgrounds and education. We are willing to take a risk on the people we believe in, even if they don&rsquo;t have the perfect experience. We have faith in what every person can be.
 
 
 And although we have so much to be proud of, we always stay humble. We believe the real magic happens &ndash; for us and for you &ndash; when we OPEN UP.
 
 
 
 
 
 
 AT COCA-COLA HBC, DIVERSITY HELPS US THRIVE
 
 
 
 At Coca-Cola HBC, we are an inclusive employer that thrives on diversity. This means our environment provides equal opportunities for all, regardless of race, color, religion, age, disability, sexual orientation, or gender identity. Join us in nurturing a culture where everyone belongs and contributes to our collective success.
 
</div>

Azure Data Engineer

Nawy

<div>
 Nawy Proptech is in search of a highly motivated and talented Data Engineer to become a valuable addition to our dynamic team. As a Data Engineer at Nawy, you will play a key role in data management, ensuring data quality, integrity, and modeling. We are seeking an individual with a strong technical background, hands-on experience with data processing technologies, and a passion for building robust and efficient data solutions.
 
 
 <ul>
 <li>
 Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and design appropriate solutions
 </li>
 <li>
 Work closely with IT and infrastructure teams to deploy and maintain data storage and processing systems, including databases, data warehouses, and cloud infrastructure
 </li>
 <li>
 Design, build, and maintain robust, scalable data pipelines to ingest, process, and transform data from various sources, including internal databases and external APIs
 </li>
 <li>
 Optimize data pipelines for performance, scalability, and reliability, ensuring timely and accurate delivery of data
 </li>
 <li>
 Implement data validation and quality checks to identify and rectify any issues in data pipelines, ensuring data integrity
 </li>
 <li>
 Explore and evaluate new technologies, tools, and frameworks to improve data engineering processes and capabilities
 </li>
 <li>
 Perform data modeling and schema design to support analytical and reporting requirements
 </li>
 <li>
 Design and build data marts and business layers to facilitate efficient data access and analysis
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Information Systems, or other related technical field or equivalent work
 </li>
 <li>
 Proven experience as a Data engineer or similar role, with at least 1 years of experience
 </li>
 <li>
 Advanced SQL knowledge/experience - complex queries and query optimization
 </li>
 <li>
 Proficiency in programming languages such as Python
 </li>
 <li>
 Experienced in the development of data warehouses and proficient in data modeling
 </li>
 <li>
 Familiarity with cloud platforms such as AWS, Azure, or Google Cloud Platform
 </li>
 <li>
 Experience in building data streams using technologies such as Kafka, Flink, or Spark Streaming is considered a plus
 </li>
 <li>
 Strong problem-solving skills and attention to detail
 </li>
 <li>
 The ability and willingness to learn new technologies on the job
 </li>
 <li>
 Self driven, highly motivated, fast learner, ambitious and creative
 </li>
 </ul>
</div>

Data Engineer

Watan First Solutions

<div>
 
 DevSecOps Engineer
 
 
 
 
 
 A senior engineer who owns our software delivery pipeline and the security inside it: CI/CD, Infrastructure-as-Code, containers, and security checks that run early on every build (shift-left). You work across Development, Security, and QA, on AWS, Azure, and GCP.
 
 
 
 
 
 Responsibilities
 
 
 &bull; Design, build, and maintain secure CI/CD pipelines across GitHub Actions, GitLab CI, and Bitbucket Pipelines with reusable templates and shared libraries.
 
 
 &bull; Implement Infrastructure-as-Code (Terraform) and configuration management (Ansible); administer Linux hosts and runners.
 
 
 &bull; Build and operate containerized workloads (Docker, Kubernetes; OpenShift a plus) across AWS, Azure, and GCP with GitOps delivery and multi-environment promotion.
 
 
 &bull; Embed security gates into the pipeline: SAST/SCA, SBOM generation, dependency compliance, secrets management (HashiCorp Vault), and artifact signing (Sigstore).
 
 
 &bull; Manage artifact &amp; dependency repositories (JFrog Artifactory / Nexus); set up observability and monitoring (Prometheus/Grafana or cloud monitoring).
 
 
 &bull; Collaborate with Security &amp; QA to integrate automated testing and vulnerability management; author documentation and run enablement workshops.
 
 
 
 
 
 Requirements
 
 
 &bull; Bachelor's in Computer Science, Software Engineering, IT, or a related field.
 
 
 &bull; 6&ndash;10+ years in DevOps / SRE / Build &amp; Release with hands-on production delivery (not sandbox only).
 
 
 &bull; Deep CI/CD pipeline engineering, secure pipeline patterns, and advanced branching strategies.
 
 
 &bull; Hands-on multi-cloud experience (AWS &middot; Azure &middot; GCP) and multiple Git/CI platforms (GitHub &middot; GitLab &middot; Bitbucket).
 
 
 &bull; Strong Docker + Kubernetes; Terraform + Ansible; Linux administration and scripting.
 
 
 &bull; Application security automation: SAST/SCA, SBOM, secrets (Vault), code signing. Regulated-sector experience preferred.
 
 
 
 
 
 Soft skills
 
 
 &bull; Excellent communication and a coaching mindset.
 
 
 &bull; High ownership and accountability.
 
 
 &bull; Cross-team collaboration (Dev, Security, QA).
 
 
 &bull; Clear, structured technical documentation.
 
 
 
 
 
 #DevSecOps #DevOps #CloudSecurity #Hiring #WatanFirstSolutions
 
</div>

DevSecOps Engineer

OneCard

<div>
 
 We are looking for an experienced and enthusiastic Senior DevOps Engineer. As our new Senior DevOps Engineer, you will be incharge of the specification and documentation of the new project features. In addition, you will be developing new features and writing scripts for automation using Python/Java/Bash.
 
 
 
 
 
 
 
 Job Description:
 
 
 
 
 
 
 <ul>
 <li>
 Utilize various open source technologies
 </li>
 <li>
 Use various tools to orchestrate solutions
 </li>
 <li>
 Build independent web based tools, microservices and solutions
 </li>
 <li>
 Write scripts and automation using Python/Java/Bash
 </li>
 <li>
 Configure andmanage data sources like MySQL, Elasticsearch,Redis , etc
 </li>
 <li>
 Understand how various systems work
 </li>
 <li>
 Understand how IT operations are managed
 </li>
 <li>
 Manage kubernetes based environment in a production high availability setup
 </li>
 <li>
 Manage source control including SVN and GIT
 </li>
 </ul>
 
 
 
 
 
 
 Job Requirements
 
 
 
 
 
 
 
 &bull; Bachelor&rsquo;s Degreeor MS in Engineering or equivalent
 
 
 &bull; 6+ years of experience in managing Linux based infrastructure
 
 
 &bull; 6+ years of hands-on experience at least in one scripting language
 
 
 &bull; 6+ years of hands-on experience with databases including MySQL, Elasticsearch , Redis
 
 
 &bull; Knowledge of Java/JVM basedlanguages
 
 
 &bull; hands-on experience with managing cloud providers AWS , GCP , huaweicloud
 
 
 &bull; hands-on experience with managing docker , kubernetes based environment
 
 
 &bull; hands-on experience with implementing and managing CICD pipeline tools teamcity /jenkins
 
 
 &bull; Ansible and terraform knowledge is a huge plus
 
 
 &bull; Sense of ownership and pride in your performance and its impact on company&rsquo;s success
 
 
 &bull; Critical thinker and problem-solving skills
 
 
 &bull; Team player
 
 
 &bull; Good time-management skills
 
 
 &bull; Interpersonal and communication skills
 
 
 
</div>

Senior DevOps Engineer

Procore Technologies

<div>
 
 Job Ad
 
 
 
 We&rsquo;re looking for a
 
 Senior Software Engineer - Agentic Foundation
 
 to join Procore&rsquo;s Product &amp; Technology team. In this role, you&rsquo;ll build and operate the tooling, frameworks, and services that make AI-native workflows the default across Procore's software development lifecycle. The primary goal of this role is to treat AI adoption as an internal product, empowering engineering teams to achieve high velocity without compromising on quality in this critical functional domain.
 
 
 As a Senior Software Engineer - Agentic Foundation, you&rsquo;ll partner with engineering, product, product design, data, security, and business systems teams to design, build, and evolve the core agentic tooling and frameworks that enable Procore engineers to leverage AI natively across the software development lifecycle. Use your backend systems depth, DevOps instincts, and hands-on AI workflow expertise to accelerate developer productivity and shape the agentic future of construction software. Shape the cutting-edge future of AI-driven developer platforms &mdash; join us today!
 
 
 This position reports into a Senior Manager, Software Engineering and will be based in our Cairo, Egypt office. We&rsquo;re looking for someone to join us immediately.
 
 
 
 What you&rsquo;ll do:
 
 
 
 <ul>
 <li>
 AI is central to how we work. You&rsquo;ll be expected to master generative tools and agentic workflows, moving beyond just using AI to actively building the agentic future of construction.
 </li>
 <li>
 Design, build, and evolve the core agentic tooling and frameworks that enable Procore engineers to leverage AI natively across the software development lifecycle &mdash; from code generation and review to test orchestration and deployment.
 </li>
 <li>
 Build the feedback loop between AI tool usage and engineering outcomes by instrumenting how agentic workflows impact cycle time, change failure rate, and developer throughput.
 </li>
 <li>
 Evaluate and integrate AI tools and frameworks into Procore's supported agentic tooling suite, making build-vs-buy decisions grounded in real usage and team feedback.
 </li>
 <li>
 Vet community-built skills and tools contributed by engineers across the organization, define evaluation criteria, and promote successful solutions into the officially supported tooling suite.
 </li>
 <li>
 Establish and champion engineering standards, best practices, and platform contracts that allow hundreds of development teams to ship safely at high velocity.
 </li>
 <li>
 Master generative tools and agentic workflows to actively build the automated future of construction software.
 
 
 </li>
 </ul>
 
 What we&rsquo;re looking for:
 
 
 
 <ul>
 <li>
 5+ years of professional software engineering experience, with demonstrated depth in full-stack development and backend systems.
 </li>
 <li>
 Bachelor&rsquo;s degree in Computer Science, a related technical field, or equivalent practical experience.
 </li>
 <li>
 Strong technical fundamentals in at least one of the following: Ruby on Rails, Python, or TypeScript, alongside comfort reading and contributing across multiple languages.
 </li>
 <li>
 Hands-on experience with AI coding tools (e.g., Claude, Cursor, Copilot) and building or customizing AI-assisted workflows (e.g., prompt engineering, MCP integrations, evals, or agentic pipelines).
 </li>
 <li>
 Solid DevOps instincts regarding deployment strategies, rollback mechanisms, feature flags, Kubernetes service operation, and CI/CD pipeline management.
 </li>
 <li>
 Adaptable and experimental characteristic mindset with the ability to explore uncharted territory, evaluate fast-moving AI technologies critically, and distinguish proven solutions from trends.
 </li>
 <li>
 Experience building or integrating AI-native developer tooling, LLM evaluation frameworks, or AI/LLM Gateways (such as MCPs or MCP Gateways) is highly preferred.
 </li>
 <li>
 Familiarity with how AI Agents and LLMs work under the hood, or previous experience working within Developer Platform, DevOps, or Developer Experience teams is a plus.
 </li>
 </ul>
</div>

Senior Software Engineer, Agentic Foundation

<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

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