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Coca-Cola HBC Logo Coca-Cola HBC · IT - Software Development

Senior Data Mesh Engineer

Egypt, Cairo · Job Posted June 14, 2026
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Job Description

We are looking for a highly skilled and experienced Senior Data Mesh Platform Engineer with strong technical expertise in Azure and software engineering to join our team in Coca-Cola Hellenic Digital & Technology Platform Services (DTPS) as part of the Data Management Platforms team. You will have the opportunity to contribute to the design, development, and continuous improvement of our enterprise Data Mesh Platform, enabling data-driven insights, predictive capabilities, and smarter decision-making for end users across all our countries. The role involves close collaboration with business stakeholders and IT teams, with the opportunity to build scalable platform capabilities that enable integration and transformation of data from multiple systems into reusable data products powering analytical solutions and AI/ML models.

Job Responsibility

  • Design, develop, and maintain scalable platform solutions using Python, Object-Oriented Programming, and Spark
  • Build and enhance platform capabilities using Azure services and frameworks such as Azure Data Factory, Azure Databricks, Azure SQL Database, Azure Data Lake Storage, Microsoft Fabric, and related technologies
  • Work with stakeholders and Product Managers to understand required platform capabilities
  • Contribute to the evolution and continuous improvement of the Data Mesh Platform roadmap and capabilities
  • Support platform lifecycle management, including upgrades, operational stability, reliability, monitoring, and continuous improvements
  • Participate in solution design, testing, troubleshooting, deployment, and operational excellence across Azure environments
  • Contribute to engineering best practices, technical standards, and knowledge sharing across the team
  • Stay updated with the latest Azure data technologies and best practices
  • Ensure that solutions are scalable, reliable, secure, and aligned with organizational standards and policies
  • Collaborate with data scientists, BI analysts, and business stakeholders to understand requirements and translate them into technical solutions - including data products that feed AI/ML models built on Databricks
  • Contribute to Agile/SAFe delivery processes, including technical planning and sprint execution

Requirements

  • Bachelor's degree in Information Technology, Computer Science, or related field
  • 3+ years of experience in software engineering, platform engineering, or data platform engineering roles
  • Practical experience in object-oriented programming, design patterns, software architecture
  • Understanding of algorithms and data structures, with focus on solving complex problems
  • Ability to write well designed and testable code
  • Proficiency in Python and Spark
  • Advanced knowledge of Azure data services and frameworks, such as Azure Data Factory, Azure Databricks, Azure SQL Database, Azure Data Lake Storage
  • Familiarity with data warehousing and business intelligence concepts and methodologies
  • Ability to work independently and deliver under ambiguity
  • Excellent communication skills - able to translate technical concepts for business stakeholders and vice versa
  • Excellent problem-solving and debugging skills
  • Excellent spoken and written English
  • Communication, organizational and analytical skills

Nice to have

  • Practical experience with C/C++/Java/C# is a plus
  • Experience with real-time or near-real-time streaming pipelines (Azure Event Hubs, Apache Kafka, Spark Streaming)
  • Experience with CI/CD for data pipelines using Azure DevOps, Git, and infrastructure-as-code (Terraform)
  • Familiarity with DevSecOps principles and experience working within the SAFe Agile framework
  • Knowledge of SAP BW (extractors, transformations, queries, data export) and experience supporting BW migrations
  • Knowledge about SAP BDC platform
  • Experience with big data technologies such as Hadoop, Spark, and Hive, and large data volume management
  • Analytical and problem-solving mindset - you enjoy finding root causes, not just symptoms
  • Databricks or Azure Data Engineer certification is a plus
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