Senior Data Engineer I
At a glance
Senior Data Engineering role at Delivery Hero. Riyadh · contract.
Pay not stated Data Engineer salary
dataroles summary, based on the employer's posting.
What you'll do
- Design and grow data platforms and processing systems that support analytics, AI applications and business intelligence
- Build data pipelines and models in BigQuery, then tune workloads and datasets for speed and cost
- Create analytics-ready models, shared metric definitions and semantic layers for data users
- Develop Python or Java services and APIs, and contribute to AI-enabled analytics such as automated insights
- Strengthen platform operations through CI/CD, testing, monitoring, infrastructure management and data governance
What you bring
- Five to eight years in data engineering or a closely related role
- A bachelor’s degree in computer science, engineering or a related discipline
- Practical GCP experience, preferably with BigQuery, plus a track record building distributed data systems
- Experience delivering ETL or ELT pipelines and data models, with strong SQL and Python or Java skills
Who this fits
This is a senior data engineering role for someone who can build and operate scalable data systems, including backend services and analytics models. The role is based on-site in Riyadh and is offered on a contractor basis.
From the employer
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.
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
- 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
- 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…
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