HungerStation is hiring a Senior Data Engineer I to design, build, and scale our data platform and processing frameworks that power analytics, AI-driven applications, and business intelligence across the organization. This role sits at the core of our data ecosystem, focusing on scalability, reliability, and performance of data systems.
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You Will Be Working On
- 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 (e.g., automated insights, 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
Qualifications
- 5–8 years of experience in Data Engineering or similar roles
- Bachelor’s degree in Computer Science, Engineering, or related field
- Master’s or relevant certifications are a plus
- Strong experience building scalable distributed data systems
- Hands-on with GCP (BigQuery preferred)
- Proven experience with ETL/ELT pipelines and data modeling
- Experience with modern data stack (Airflow, dbt, Looker)
- Strong SQL skills and understanding of relational data systems
- Experience with Python or Java for backend/data services
- Familiarity with Infrastructure-as-Code (Terraform preferred)
- Experience with CI/CD, testing, and monitoring practices
- Exposure to AI-driven data applications or LLM integrations is a plus
Additional Information
- We offer relocation support globally to our permanent employees.
- Exchange ideas and meet 2000+ colleagues from different teams within the company in our active guilds and through our global tech and product community.
- Develop your skills with your personal educational budget for conferences and external training.
- Access our e-learning platform LinkedIn and participate in our various in-house training programs.
- And much more…
Location
Riyadh, Riyadh Province, Saudi Arabia
