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Join TMC Middle East as a Data Engineer!

TMC Middle East is seeking a skilled Data Engineer for an exciting project with a Government Entity in Riyadh. This role offers the opportunity to work on innovative data solutions in a collaborative environment.

About the Role:
As a Data Engineer, you will:

• Design and build Data Architectures, Data Warehouses, and Data Lakehouses.
• Utilize various data warehousing tools to build and manage ETL/ELT pipelines.
• Work with data orchestration tools including Airflow, DBT, and Prefect.
• Perform data cleaning, validation, and quality assurance.
• Handle both relational and non-relational databases.
• Implement logical & physical models, and dimensional modeling using the Kimball methodology.
• Engage in advanced SQL tasks including query optimization and storage optimization.
• Monitor data pipelines using tools like Grafana and Prometheus.
• Utilize Google Cloud Storage for data staging and organization.
• Work with big data technologies such as Hadoop, Spark, and Kafka.
• Automate data pipelines and reporting, collaborating with analytics and AI teams to ensure data security and compliance with regulatory standards.

Requirements:
To be successful in this role, you should have:

• At least 7 years of experience in a Data Engineer role.
• A transferable iqama and immediate availability.

About TMC:
TMC Middle East emphasizes innovation and technology in providing tailored solutions for diverse clients. Our team consists of entrepreneurial technologists dedicated to pushing the boundaries of what's possible. Join a thriving environment where you can meet like-minded professionals and elevate your career through our unique Employeneurship philosophy.

Join Devoteam as a Data Engineer! Our commitment at Devoteam is to harness technology to drive positive change in the world. With over 25 years of experience and a presence across 18+ countries, we pride ourselves on our innovative and human-centric approach to technology.

About The Role: As a Data Engineer, you will play a crucial role in developing, monitoring, and optimizing data quality processes essential for reliable enterprise data. This includes identifying and resolving data anomalies, ensuring business decisions are based on high-integrity data.

Key Responsibilities:

• Design and maintain data quality frameworks.
• Collaborate with teams for consistent data quality standards.
• Conduct data profiling and validation.
• Develop automated data quality checks.
• Document data quality rules and actions.
• Lead design and deployment of scalable solutions.
• Participate in compliance with local data management regulations.

Qualifications:

• Bachelor's or Master's degree in Computer Science or related fields.
• 5+ years of experience in Data Engineering or related roles.
• Strong expertise in DQ tools and proficiency in SQL and scripting (Python, Shell, or Scala).
• Excellent communication skills.

Join our team! If you are passionate about technology and looking for a place to turn your ideas into reality, we would love to hear from you.

Join Artefact as a Data Engineer
Artefact is a new generation of data service providers specializing in data consulting and data-driven digital marketing. We are dedicated to transforming data into business impact across the entire value chain of organizations, and we enjoy skyrocketing growth.

Role Overview
As a Data Engineer, you will be responsible for crafting and maintaining robust data pipelines, utilizing Python and SQL to ensure efficient extraction, transformation, and loading (ETL) of data.

Key Responsibilities

• Data Pipeline Development: Build and optimize data pipelines to facilitate seamless data flow across systems and platforms.
• Database Management: Manage databases, ensuring their integrity, and implementing data storage and retrieval solutions.
• Cloud Services Integration: Leverage cloud services such as MS Azure, GCP, and AWS to architect and deploy scalable data solutions.
• Machine Learning Integration: Collaborate with teams to integrate machine learning models into data pipelines for enhanced data processing.
• Utilizing Spark & Kafka: Implement and work with Spark and Kafka for real-time data processing and analytics.

Desired Qualifications

• 2-5 years of experience in Data Engineering.
• Proficiency in Python, SQL, and database management.
• Experience with Data Pipelines ETL, Cloud Services (MS Azure, GCP, AWS), ML Modeling, Spark & Kafka.
• Proven problem-solving skills with a solution-oriented mindset.
• Excellent communication skills for effective collaboration within teams and with stakeholders.
• Strong business acumen with an interest in business-facing roles.
• Adaptability and a start-up mentality to thrive in a dynamic environment.
• A minimum of a bachelor's degree in Computer Science, Electronics, or Communication Engineering.

At Artefact, you will be part of a passionate team that believes innovation can come from anyone. Come and help us build the future of data and AI.