Data Engineer📣 Job Ad

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

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.

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.