The company 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 the scalability, reliability, and performance of data systems.
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Location: Riyadh, Saudi Arabia (On-site)
Work Conditions: Full-time
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 (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 a related field. Master’s or relevant certifications are a plus.
- Strong experience building scalable distributed data systems.
- Hands-on experience 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.
- Engage with 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 and participate in various in-house training programs.
