Job summary
Müller`s Solutions is hiring a on-site Data Engineer in Dhahran. The role involves building scalable data pipelines, processing large datasets, and supporting inventory optimization, master data management and backend data services.
Key responsibilities
- Design, develop and maintain scalable ETL/ELT pipelines for data ingestion
- Build and optimize data workflows using Apache Airflow
- Develop data processing solutions using Python, Pandas and NumPy
- Create and optimize complex SQL queries and data models in BigQuery
- Develop and integrate APIs to enable system data exchange
- Implement data ingestion frameworks from internal and external sources
- Perform data cleansing, transformation and validation
- Support inventory optimization and master data management initiatives
Requirements
- 5–6 years of experience in Data Engineering or related roles
- Strong hands-on experience with Python, Pandas and NumPy
- Practical experience with Apache Airflow, Google BigQuery and SQL
- Experience in API development and integration
- Experience designing and implementing scalable ETL/ELT pipelines
- Familiarity with version control systems such as Git
- Nice-to-have: PySpark, Docker, basic ML knowledge, CI/CD familiarity
Skills
Source: Workable. Last checked as open: 14 Nov 2026. You apply directly with the employer.
Apply now