Senior Data Engineer - Python, Airflow, BigQuery, ETL

Müller's Solutions; Dhahran Compound; On-site; SAR 230,000 - 340,000; Full time

Job summary

Muller's Solutions is seeking an experienced Data Engineer with 5-6 years of experience to design, develop, and maintain scalable data solutions. The ideal candidate will excel in Python, Pandas, NumPy, Airflow, BigQuery, SQL, and API development, and will build robust data pipelines for inventory optimization and backend services.

You will collaborate with Product, Analytics, and Engineering teams, implement data governance, and ensure data quality and performance across large datasets.

Qualifications

• 5-6 years of experience in Data Engineering or related roles.
• Strong hands-on experience with: Python, Pandas, NumPy, Apache Airflow, Google BigQuery, SQL, and API development.
• Experience designing and implementing scalable ETL/ELT pipelines.
• Strong understanding of data modeling, data transformation, and database concepts.
• Experience working with large-scale datasets and optimizing query performance.
• Proficiency with Git.

Responsibilities

• Design, develop, and maintain scalable ETL/ELT pipelines for data ingestion and processing.
• Build and optimize data workflows using Apache Airflow.
• Develop data processing solutions using Python, Pandas, and NumPy.
• Design and optimize complex SQL queries and data models in BigQuery.
• Develop and integrate APIs to support data exchange between systems.
• Implement data ingestion frameworks from various internal and external sources.
• Perform data cleansing, transformation, and validation to ensure data accuracy and consistency.
• Develop and maintain processes for master data management.
• Support inventory optimization initiatives by implementing data processing and business logic.
• Build and maintain backend services that enable data‑driven applications.
• Monitor and troubleshoot data pipelines to ensure reliability and performance.
• Collaborate with cross‑functional teams, including Product, Analytics, and Engineering teams.
• Ensure adherence to data governance, security, and best practices.

Skills

Python

Pandas

NumPy

Apache Airflow

Google BigQuery

SQL

API development

ETL/ELT pipelines

Data modeling

Git

Education

Bachelor's degree in Computer Science, Information Technology, Data Science, or related field

Tools

Docker

Job description

Muller's Solutions is seeking an experienced Data Engineer with 5-6 years of experience to design, develop, and maintain scalable data solutions. The ideal candidate will excel in Python, Pandas, NumPy, Airflow, BigQuery, SQL, and API development, and will build robust data pipelines for inventory optimization and backend services.

You will collaborate with Product, Analytics, and Engineering teams, implement data governance, and ensure data quality and performance across large datasets.