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Contract TypeSeasonal
Workplace typeOn-site
LocationRiyadh

Job Description

About the Role

HungerStation, part of the Delivery Hero Group, is seeking a Senior Data Engineer I to join its team in Riyadh. This full-time position focuses on designing, building, and scaling the company's data platform and processing frameworks that support analytics, AI-driven applications, and business intelligence across the organization. The role is central to the data ecosystem, emphasizing the scalability, reliability, and performance of data systems.

Key Responsibilities

  • Design, implement, and extend scalable data platforms and architectures.
  • Build and maintain high-performance data pipelines and data models using BigQuery.
  • Optimize datasets and workloads for performance and cost efficiency.
  • Develop analytics-ready data models, semantic layers, and governed metrics.
  • Build backend services and APIs using Python or Java to support data applications.
  • Contribute to AI-enabled data use cases, such as automated insights and conversational analytics.
  • Improve system reliability by addressing technical debt and scaling challenges.
  • Implement best practices across CI/CD, testing, monitoring, and deployment automation.
  • Manage and optimize cloud infrastructure supporting the data platform.
  • Collaborate with cross-functional teams to ensure data quality and engineering standards.
  • Ensure compliance with data governance, privacy, and security standards.
  • Improve monitoring frameworks and operational resilience of the data platform.
  • Support initiatives to enhance data quality, reliability, and system stability.

Required Qualifications

  • 5–8 years of experience in Data Engineering or similar roles.
  • Bachelor’s degree in Computer Science, Engineering, or a related field.
  • Strong experience building scalable distributed data systems.
  • Hands-on experience with GCP, with BigQuery being preferred.
  • Proven experience with ETL/ELT pipelines and data modeling.
  • Experience with modern data stack tools such as Airflow, dbt, and Looker.
  • Strong SQL skills and an understanding of relational data systems.
  • Experience with Python or Java for backend/data services.
  • Familiarity with Infrastructure-as-Code, with Terraform being preferred.
  • Experience with CI/CD, testing, and monitoring practices.

Preferred Skills and Experience

  • Master’s degree or relevant certifications are considered a plus.
  • Exposure to AI-driven data applications or LLM integrations is beneficial.

Requirements

  • Requires 5-10 Years experience

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