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 Accenture as a Data Engineer Consultant!
At Accenture, we bring together unmatched industry experience, innovative technologies, and a vast delivery network to address complex business needs. As a Data Engineer Consultant, you will play a crucial role in designing, developing, and managing data solutions.

Role Overview:
You will take ownership of critical engineering components— from data pipelines to ETL flows— ensuring data quality and driving robust insights.

Key Responsibilities:

• Design, implement, and maintain end-to-end data pipelines and ETL/ELT workflows.
• Conduct regular assessments for data integrity and implement monitoring mechanisms.
• Develop innovative data solutions to enhance operational efficiency.
• Collaborate with product teams and stakeholders to translate requirements into effective solutions.
• Mentor team members on best practices.

Required Skills & Qualifications:

• 8–12 years of data engineering experience with strong ETL expertise.
• A degree in Computer Science, Engineering, or related field.
• Proficiency in SQL, Python, and modern data frameworks.
• Experience with cloud platforms (AWS, Azure, GCP).
• Proven decision-making in collaborative environments.

Why Join Us?
We offer career progression with continuous coaching, flexible work arrangements, and access to state-of-the-art technology. Join us to make a positive impact in the communities we serve.