Senior Data Engineer

MOZN; Riyadh; On-site; SAR 262,000 - 338,000; Full time

Job summary

A rapidly growing technology firm in Riyadh is seeking an experienced Senior Data Engineer to design and optimize scalable data architectures. This role involves building data pipelines and ensuring high data quality for clients in various sectors. The ideal candidate will hold a degree in Computer Science or a related field, with over 4 years of experience and expertise in SQL, Python, and cloud platforms. Join a dynamic workplace with competitive compensation and a culture that values responsibility and trust.

Benefits

Competitive compensation

Top-tier health insurance

Dynamic workplace

Qualifications

• 4+ years of hands-on experience in data engineering and data architecture.
• Experience with cloud platforms and on-premises environments.
• Knowledge of data governance and compliance.

Responsibilities

• Architecting, developing, and maintaining large-scale data pipelines.
• Ensuring high data quality, consistency, and security.
• Collaborating with data scientists and business stakeholders.

Skills

SQL

Python

Spark

Hadoop

Airflow

ETL/ELT frameworks

Education

Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related field

Tools

AWS

GCP

OCI

Azure

Job description

About Mozn

Mozn is a rapidly growing technology firm revolutionising the field of Artificial Intelligence and Data Science headquartered in Riyadh, Saudi Arabia and it’s working to realise Vision 2030 with a proven track record of excellence in supporting and growing the tech ecosystem in Saudi Arabia and the GCC region. Mozn is the trusted AI technology partner for some of the largest government organizations, as well as many large corporations and startups.

We are in an exciting stage of scaling the company to provide AI-powered products and solutions both locally and globally that ensure the growth and prosperity of our digital humanity. It is an exciting time to work in the field of AI to create a long-lasting impact.

About the role

We are seeking an experienced Senior Data Engineer to design, build, and optimize scalable data architectures and pipelines. This role will play a pivotal part in delivering high-quality consultation services for public and private sector clients in Saudi Arabia, ensuring compliance, reliability, and business value from data assets.

What you'll do

• Architecting, developing, and maintaining large-scale data pipelines and integration workflows
• Ensuring high data quality, consistency, and security across multiple environments
• Collaborating with data scientists, business stakeholders, and IT teams to deliver reliable solutions
• Leading data migration, transformation, and optimization projects for clients in government and enterprise sectors
• Evaluating and implementing modern data frameworks, tools, and cloud/on-prem technologies
• Providing guidance and mentorship to junior data engineers and consultants

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related field
• 4+ years of hands‑on experience in data engineering and data architecture
• Strong expertise in SQL, Python, Spark, Hadoop, Airflow, and ETL/ELT frameworks
• Experience with cloud platforms (AWS, GCP, OCI, Azure) and on‑premises environments
• Knowledge of data governance, compliance (e.g., PDPL), and metadata management

Benefits

• You will be at the forefront of an exciting time for the Middle East, joining a high‑growth rocket-ship in an exciting space
• You will be given a lot of responsibility and trust. We believe that the best results come when the people responsible for a function are given the freedom to do what they think is best
• The fundamentals will be taken care of: competitive compensation, top‑tier health insurance, and an enabling culture so that you can focus on what you do best
• You will enjoy a fun and dynamic workplace working alongside some of the greatest minds in AI
• We believe strength lies in difference, embracing all for who they are and empowered to be the best version of themselves