Data Engineer📣 Job Ad

About the Role
The Data Engineer at KUN Sports plays a crucial role in designing, building, and maintaining scalable data pipelines that support our organizational analytics and reporting. Your mission will be to ensure high-quality, reliable, and secure data flow across systems, enabling our teams to make data-driven decisions aligned with our strategic objectives.

Key Responsibilities

• Data Pipeline Development & Management:
  • Design, build, and maintain ETL/ELT pipelines for data ingestion, cleaning, and transformation.
  • Automate data workflows using frameworks such as Python, Airflow, and others.
  • Develop real-time data streams.
• Data Warehouse & Database Architecture:
  • Build and maintain enterprise data warehouse structures.
  • Enhance query performance through database indexing and partitioning.
• Data Quality, Governance & Compliance:
  • Ensure strong data quality through validation and anomaly detection.
  • Comply with internal data governance standards.
• System Integration & API Development:
  • Develop robust integrations with various systems and maintain APIs.
• Analytics, Reporting & Business Support:
  • Support BI teams with optimized datasets.
  • Translate business requirements into data architecture solutions.
• Cloud Environment & Infrastructure:
  • Manage cloud resources and set up CI/CD pipelines for deployments.

Requirements

• Bachelor’s Degree in a relevant field.
• 4–6 years of experience in data engineering.
• Proficiency in SQL and experience with relational/NoSQL databases.
• Strong knowledge of ETL tools and cloud data environments.

About KUN Sports
KUN Sports aims to create awareness and engage investments in sports and wellness in Saudi Arabia. We launched iN2Fitness, a gym catering to local market needs with a high-value, low-cost approach.

Join Mozn as a Data Engineer!
At Mozn, we are redefining the landscape of Artificial Intelligence and Data Science in the Middle East. Our rapid growth reflects our commitment to realizing Vision 2030, providing innovative AI-powered products and solutions that cater to various sectors. As a key player in supporting both government organizations and private enterprises, we seek to create a sustainable digital future.

About The Role
We are looking for a skilled Data Engineer to be part of our dynamic team. In this role, you will:

• Architect, develop, and maintain large-scale data pipelines and integration workflows.
• Ensure high data quality, consistency, and security across multiple environments.
• Collaborate with data scientists, business stakeholders, and IT teams to deliver reliable solutions.
• Lead data migration, transformation, and optimization projects for clients in government and enterprise sectors.
• Evaluate and implement modern data frameworks, tools, and cloud/on-prem technologies.
• Provide guidance and mentorship to junior data engineers and consultants.

Qualifications
The ideal candidate should possess:

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related field.
• 2-3 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 (*, PDPL), and metadata management.

What We Offer
At Mozn, you will be at the forefront of innovation in the Middle East. We provide:

• Competitive compensation and top-tier health insurance.
• A culture that promotes autonomy and creativity.
• A dynamic workplace with passionate minds in AI.
• Commitment to diversity, empowering everyone to be their best selves.

Join TechnohandZ as a Data Engineer!
We are seeking a highly skilled Data Engineer with over 15 years of experience to join our dynamic team in Riyadh. TechnohandZ is a leading data and analytics services company, specializing in IT services and consulting with operations across KSA, India, Kuwait, and UAE.
Role Summary:
As a Data Engineer, you will be responsible for building secure, scalable, and high-performance data integration pipelines. Your aim will be to ingest data from multiple enterprise systems into a centralized data lakehouse platform.
Key Responsibilities:

• Design and build data pipelines to ingest data from SICS Core System, ERP systems (Odoo), and Document Management Systems (OnBase)
• Implement secure, scalable, and reliable data ingestion and transformation pipelines
• Ensure data quality, consistency, and performance across pipelines
• Collaborate closely with data architects and analytics teams
• Support testing, validation, and production deployment of data pipelines

Required Skills & Experience:

• 15+ years of experience in data engineering and integration
• Strong expertise in building enterprise-grade data pipelines
• Experience integrating core systems, ERP platforms, and document management systems
• Strong focus on data security, scalability, and performance