Senior Data Engineer I📣 Job Ad
| Contract Type | Seasonal | |
| Workplace type | On-site | |
| Location | Riyadh |
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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