Senior Data Engineer: ETL Pipelines, Airflow, APIs & BigQuery

Mullers Solutions 1; Dhahran Compound; On-site; SAR 210,000 - 320,000; 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 role focuses on Python, Pandas, NumPy, Airflow, BigQuery, SQL, and API development to support inventory optimization and backend services.

The candidate will build robust data pipelines, process large datasets, and ensure data governance, security, and best practices across data platforms.

Qualifications

• 5–6 years of experience in Data Engineering or related roles.
• Strong hands-on experience with Python, Pandas, NumPy, Airflow, BigQuery, SQL, and API development.
• Experience designing and implementing scalable ETL/ELT pipelines.
• Strong understanding of data modeling, data transformation, and database concepts.

Responsibilities

• Design, develop, and maintain scalable ETL/ELT pipelines.
• Build and optimize data workflows using Apache Airflow.
• Develop and maintain 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 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 with 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.
• Ensure adherence to data governance, security, and best practices.

Skills

5–6 years experience

Data engineering

Education

Bachelor's degree in CS/IT/Data Science

Tools

Python

Pandas

NumPy

Apache Airflow

Google BigQuery

SQL

API development

ETL/ELT pipelines

Git

Docker

PySpark

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 role focuses on Python, Pandas, NumPy, Airflow, BigQuery, SQL, and API development to support inventory optimization and backend services.

The candidate will build robust data pipelines, process large datasets, and ensure data governance, security, and best practices across data platforms.