Senior Data Engineer I
Riyadh, Riyadh Province, Saudi Arabia
- Pay
- Pay not listed
- Work setting
On-site — work setting source
Work setup in the employer’s posting: On-site
From the employer’s posting- Employment
Contract — employment source
Employment type in the employer’s posting: Contract
From the employer’s posting
What you’ll bring
All qualificationsCore experience
- 5–8 years of experience in Data Engineering or similar roles
- Bachelor’s degree in Computer Science, Engineering, or related field
- Strong experience building scalable distributed data systems
- 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
Preferred experience
- Master’s or relevant certifications are a plus
- Terraform preferred
Qualification wording
5–8 years of experience in Data Engineering or similar roles
Bachelor’s degree in Computer Science, Engineering, or related field
Strong experience building scalable distributed data systems
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
Master’s or relevant certifications are a plus
Familiarity with Infrastructure-as-Code (Terraform preferred)
Education & alternatives
- 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
- 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
Tools in this posting
- Java
- Python
- SQL
- BigQuery
- dbt
- GCP
- Looker
- Terraform
- Airflow
Source — Tool mentions in context
- 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)
- 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 modern data stack (Airflow, dbt, Looker) - Strong SQL skills and understanding of relational data systems - Experience with Python or Java for backend/data services
- 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
- Strong experience building scalable distributed data systems - Hands-on with GCP (BigQuery preferred) - Proven experience with ETL/ELT pipelines and data modeling
- 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
Posting record
Report an errorOpen 5 monthsWe first saw this posting 169 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
- Status in our records
- Live
- First seen by us
- May 14, 2026 · 169 days ago
- Recorded sightings
- 523
- Last seen by us
- Oct 30, 2026
- Employer says posted
- Apr 13, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
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Job description
Job Description
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.
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 Delivery Hero 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…
Company Description
Hungerstation is part of the Delivery Hero Group, the world’s pioneering local delivery platform, our mission is to deliver an amazing experience—fast, easy, and to your door. We operate in around 65 countries worldwide. Headquartered in Berlin, Germany. Delivery Hero has been listed on the Frankfurt Stock Exchange since 2017 and is part of the MDAX stock market index.
Source details
Source notes
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
Riyadh, Riyadh Province, Saudi Arabia
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
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