مهندس بيانات📣 إعلان

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.

Join Almanea Co. as a Data Engineer!

As a leading company in home appliances and electronics trading, Almanea Co. is seeking a skilled Data Engineer to join our IT department. This role is critical in designing, developing, and maintaining scalable data pipelines and infrastructure that will support data-driven decision-making across our organization.

Main Responsibilities:

• Design and develop data pipelines (ETL/ELT) to efficiently collect, transform, and load data from various sources.
• Build and maintain data infrastructure, including databases, APIs, and cloud-based storage solutions.
• Ensure data quality, accuracy, and consistency through validation, cleansing, and governance practices.
• Collaborate with data analysts and scientists to optimize data accessibility, workflows, and model deployment.
• Monitor system performance and resolve data pipeline or infrastructure issues.
• Document data workflows, architecture, schemas, and design standards for internal use.

Requirements:

• Bachelor’s degree (or equivalent) in Computer Science or related field.
• 2–4 years of experience in data engineering or related fields.
• Proficiency in programming languages such as Python, SQL, or Java.
• Experience with relational database technologies and familiarity with ETL tools.
• Strong knowledge of cloud data platforms and data governance practices.

Join us to make an impact with your data engineering skills!