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Join Our Team as a Data Engineer
We are seeking a skilled and detail-oriented Data Engineer to become part of our exceptional team. In this role, you will be responsible for designing, building, and maintaining scalable data pipelines and infrastructure that support our data analytics and business intelligence initiatives.

Key Responsibilities:

• Design, develop, and maintain robust ETL/ELT pipelines to ingest data from various sources.
• Design and optimize scalable, secure data architectures (*, data lakes, data warehouses, real-time streaming systems).
• Ensure data quality, integrity, and security across all systems.
• Monitor and troubleshoot data pipeline performance and reliability.
• Implement data governance best practices and ensure compliance with relevant data privacy regulations (*, GDPR, local laws).
• Automate data workflows and repetitive tasks using scripting and orchestration tools to enhance operational efficiency.
• Collaborate with cross-functional teams to understand data needs, provide access, and deliver integrated, automated solutions.
• Translate business requirements into technical specifications and data models.
• Enhance data storage and retrieval mechanisms for performance and cost-efficiency.
• Maintain documentation for data systems and processes.
• Contribute to the development of CI/CD pipelines for data infrastructure.
• Evaluate and integrate new tools and technologies to improve data engineering capabilities.

Requirements:

• Bachelor’s or master’s degree in computer science or equivalent.
• Minimum of 6+ years of experience as a Data Engineer.
• Strong proficiency in SQL and programming languages such as Python and Java.
• Must have: Java, Data Modeling, ETL.
• Strong SQL skills with experience in MySQL, Mongo DB, etc.
• Experience dealing with other Business Intelligence Tools is a plus.
• Ability to work independently and collaboratively within a team environment.
• Experience in logistics, supply chain, or e-commerce domains is a plus.

About the Role
The role of a Data Engineer at Talina involves managing and optimizing data systems through technical expertise in SQL, Python, and data modeling. This position requires handling ETL processes to ensure data accuracy and efficiency. Problem-solving and collaboration are essential soft skills, complemented by meticulous attention to detail and effective time management. This position thrives in a culture of ownership, where taking initiative and accountability are valued.

Responsibilities

• Develop and optimize SQL queries for data retrieval and manipulation.
• Utilize Python programming to automate data processes and create data pipelines.
• Design and implement data models to effectively organize and structure data.
• Implement ETL processes for extracting, transforming, and loading data into the data warehouse.
• Apply problem-solving skills to identify and resolve data-related issues effectively.
• Collaborate with team members to develop and implement data solutions.
• Demonstrate attention to detail in data analysis and data processing tasks.
• Manage time effectively to meet project deadlines and deliver high-quality work.
• Take ownership of data projects and initiatives to drive success.

Requirements

• Previous experience as a Data Engineer.
• Strong proficiency in SQL for database querying and manipulation.
• Proficiency in Python for developing data pipelines and automation.
• Experience in data modeling to design efficient, scalable databases.
• Knowledge of ETL processes for data extraction, transformation, and loading.
• Strong problem-solving skills to tackle engineering challenges.
• Ability to collaborate with cross-functional teams.
• Attention to detail ensuring accuracy and reliability of solutions.
• Excellent time management skills for prioritizing tasks.
• Demonstrated ownership mindset in driving projects to completion.

Join Ampstek as a Data Engineer (Arabic-Speaking)
We're seeking a talented Data Engineer based in Riyadh, who is fluent in Arabic. As a key member of our team, you will play a crucial role in building and maintaining scalable data pipelines and ETL workflows to support our analytics and business intelligence efforts.

Key Responsibilities:

• Build and maintain scalable data pipelines and ETL workflows.
• Integrate multiple data sources, ensuring accuracy and timeliness.
• Support analytics and business intelligence teams with clean, optimized data.
• Work closely with architects and development teams to enhance performance and data usability.

Minimum Qualifications:

• Bachelor’s degree in Data Engineering, Computer Science, or related field.
• 5+ years of hands-on data engineering experience.
• Strong command of ETL frameworks (*, Airflow, Talend, Glue).
• Experience with big data tools (*, Spark, Hadoop, Kafka).
• Advanced skills in SQL, Python, or Scala.

Preferred Qualifications:

• Prior experience in government or high-compliance environments.
• Familiarity with Arabic language or translation workflows.
• Cloud certifications (AWS, Azure, GCP).

Join us at Ampstek, where you can contribute to innovative projects and develop your career in a dynamic work environment.

Join Lucidya as a Data Engineer!
This is a crucial role in building and maintaining our data infrastructure. You will design, develop, and manage scalable data pipelines to support our analytics and machine learning teams. Your goal is to ensure data accessibility, reliability, and organization to meet our growing analytical needs.

Key Responsibilities:

• Design and implement ETL processes for data movement and transformation.
• Build and maintain the data infrastructure for storage, processing, and analysis.
• Collaborate with data analysts and scientists to understand data needs.
• Ensure data quality and integrity throughout its lifecycle.
• Optimize storage and retrieval processes for performance.
• Document data flows and architecture changes.

Requirements:

• Bachelor's degree in Computer Science, IT, or a related field.
• 3+ years of experience as a Data Engineer or in a similar role.
• Strong SQL knowledge and experience with database technologies (*, PostgreSQL, MySQL).
• Proficient in programming languages (Python, Java, Scala).
• Experience with ETL tools (*, Apache Airflow, Talend).
• Familiarity with cloud platforms (AWS, GCP, Azure).
• Knowledge of big data technologies (Hadoop, Spark) is a plus.
• Excellent communication and collaboration skills.

Why Join Us?
More than just an engineering role, you will shape the infrastructure and technical future of Lucidya. We offer Employee Stock Option Plans (ESOP) and performance-based bonuses, allowing you to have ownership in the company's success. Join our fast-growing team and take part in leading, innovating, and personal and professional growth.

Join Highbrow Technology Inc as a Data Engineer!
We are looking for a skilled Data Engineer to become part of our team in Riyadh, Saudi Arabia. This role will involve working on exciting data engineering projects for a duration of 18 months (6 months execution + 12 months support).

Key Responsibilities:

• Build and maintain scalable data pipelines and ETL workflows.
• Integrate multiple data sources, ensuring accuracy and timeliness.
• Support analytics and business intelligence teams with clean, optimized data.
• Work closely with architects and development teams to enhance performance and data usability.

Minimum Qualifications:

• Bachelor’s degree in Data Engineering, Computer Science, or a related field.
• 5+ years of hands-on data engineering experience.
• Strong command of ETL frameworks (*, Airflow, Talend, Glue).
• Experience with big data tools (*, Spark, Hadoop, Kafka).
• Advanced skills in SQL, Python, or Scala.

Preferred Qualifications:

• Prior experience in government or high-compliance environments.
• Familiarity with the Arabic language or translation workflows.
• Cloud certifications (AWS, Azure, GCP).

If you are interested, please share your profile!

Join AJEX as a Data Engineer!
We are seeking a skilled and detail-oriented Data Engineer to join our team. The ideal candidate will be responsible for designing, building, and maintaining scalable data pipelines and infrastructure to support data analytics and business intelligence initiatives.

Key Responsibilities:

• Design, develop, and maintain robust ETL/ELT pipelines to ingest data from various sources.
• Design and optimize scalable, secure data architectures (*, data lakes, data warehouses, real-time streaming systems).
• Ensure data quality, integrity, and security across all systems.
• Monitor and troubleshoot data pipeline performance and reliability.
• Implement data governance best practices and ensure compliance with relevant data privacy regulations (*, GDPR, local laws).
• Automate data workflows and repetitive tasks using scripting and orchestration tools to enhance operational efficiency.
• Partner with cross-functional teams to understand data needs, provide access, and deliver integrated, automated solutions.
• Translate business requirements into technical specifications and data models.
• Enhance data storage and retrieval mechanisms for performance and cost-efficiency.
• Maintain documentation for data systems and processes.
• Contribute to the development of CI/CD pipelines for data infrastructure.
• Evaluate and integrate new tools and technologies to improve data engineering capabilities.

Requirements:

• Bachelor’s or master’s degree in computer science or equivalent.
• Minimum 6+ years as a Data Engineer.
• Strong proficiency in SQL and programming languages such as Python and Java.
• Must Needed Skills: Java, Data Modeling, ETL.
• Strong SQL skills with experience in MySQL, Mongo DB etc.
• Experience dealing with other Business Intelligence Tools is a plus.
• Ability to work independently and collaboratively within a team environment.
• Experience in logistics, supply chain, or e-commerce domains is a plus.

Position Overview
Master Works is seeking a skilled Data Engineer to join our team. The ideal candidate will have a strong background in data engineering best practices and big data technologies. This role involves designing, developing, and maintaining data pipelines, optimizing data processing performance, and collaborating with data scientists and analysts to ensure data quality and integrity.

Key Responsibilities

• Data Pipeline Development: Design, develop, and maintain data pipelines using industry-standard tools and technologies.
• ETL Processes: Extract, transform, and load (ETL) data from various sources into data warehouses and data lakes.
• Performance Optimization: Optimize data processing performance and scalability to handle large volumes of data efficiently.
• Data Quality: Collaborate with data scientists and analysts to ensure data quality, integrity, and accuracy.
• Technical Expertise: Utilize proficiency in SQL and programming languages such as Python to develop data solutions and address technical challenges.

Requirements

• Experience: +3 years of experience with big data technologies such as Hadoop, Spark, and Hive.
• Data Modelling: Knowledge of data modelling and data warehousing concepts.
• Programming Skills: Proficiency in SQL and Python programming.
• Data Integration: Familiarity with data integration tools and techniques.