Senior Data Platform Engineer - Airflow, Spark & Lakehouse

Master-Works; Riyadh; On-site; SAR 180,000 - 300,000; Full time

Job summary

Master Works seeks a Data Engineer to design, implement, and operate the organization's data pipelines and platform infrastructure. You will ensure reliable data processing, platform availability, security, performance, and SLA compliance across the data stack.

Responsibilities include building ELT/ETL workflows, maintaining lakehouse environments, and implementing CI/CD pipelines with Bitbucket and Jenkins, while collaborating with Data Integration, Data Engineering, BI, and Analytics teams.

Qualifications

• Bachelor's degree in Computer Science, Information Systems, Software Engineering or related field.

Responsibilities

• Design, develop, and maintain ELT/ETL pipelines to produce clean, structured, and reliable datasets.

Skills

ELT/ETL Pipeline Development

Airflow Orchestration

SQL

Python

PySpark

Apache Spark

Trino

Lakehouse

CI/CD

Data Platform Administration

Education

Bachelor's degree in Computer Science, Information Systems, Software Engineering

Tools

Apache Airflow

Apache Spark

Trino

Bitbucket

Jenkins

Job description

Master Works seeks a Data Engineer to design, implement, and operate the organization's data pipelines and platform infrastructure. You will ensure reliable data processing, platform availability, security, performance, and SLA compliance across the data stack.

Responsibilities include building ELT/ETL workflows, maintaining lakehouse environments, and implementing CI/CD pipelines with Bitbucket and Jenkins, while collaborating with Data Integration, Data Engineering, BI, and Analytics teams.