Data Engineer📣 Job Ad

Join Our Team as a Senior Data Engineer!
At AiElements, we are dedicated to providing reliable AI solutions and are currently seeking a Senior Data Engineer with strong Informatica IDMC and Governance experience. This role is pivotal in ensuring data quality and management across our projects.

About the Role:
The Senior Data Engineer will lead the design and implementation of data governance frameworks tailored specifically to the regulatory landscapes in Saudi Arabia. Your expertise in Informatica Intelligent Data Management Cloud (IDMC) will be crucial in managing data governance, cataloging, and quality.

Key Responsibilities:

• Design and implement enterprise Data Governance frameworks for KSA.
• Engage with stakeholders to identify business use cases.
• Implement data governance policies and privacy rules.
• Utilize Informatica IDMC for managing data quality processes.
• Collaborate with data stewards to ensure data is secure and discoverable.
• Develop documentation for data flows, governance processes, and transformation logic.
• Support change management initiatives.
• Perform data profiling and cleansing to ensure quality initiatives are met.

Required Qualifications:

• Bachelor’s degree in Computer Science or related field.
• 5+ years of experience in data engineering or ETL development using Informatica.
• Knowledge of the PDPL and other data privacy regulations.
• Familiarity with hybrid data environments.
• Strong SQL skills.

This project is temporary, expected to last for 3 months with a possibility of extension up to 6 months. If you possess the required skills and experience, we encourage you to apply!

Join Lucidya as a Data Engineer and play a crucial role in shaping our data infrastructure.

As a Data Engineer, you will design, develop, and manage scalable data pipelines that support our analytics and machine learning teams. Your work will ensure that our data is accessible, reliable, and organized to meet our growing analytical needs.

Key Responsibilities:

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

Requirements:

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

Why Join Us?
This is an opportunity to shape our technical future, scale our platform, and deliver empowering technology. We offer Employee Stock Option Plans (ESOP) and performance-based bonuses, fostering growth and innovation in a dynamic work environment.

Join TK Elevator as a Data Engineer!

At TK Elevator, we are seeking a Data Engineer to join our Digital Operation Center in KSA. Our mission is to create exceptional insights from data to enhance our service and field operations. If you are passionate about data and innovation, this role offers an exciting opportunity to work with a global leader in industrial machinery manufacturing.

Key Responsibilities:

• Data Engineering & Analytics: Utilize Databricks and Azure-based data platforms for processing IoT telemetry and service data.
• Visualization & Reporting: Design and maintain Power BI reports to deliver crucial insights.
• Domain Collaboration: Collaborate with field experts and service teams to derive actionable insights.
• Global Collaboration: Work with peers worldwide to share best practices.
• Standards & Best Practices: Adhere to documentation practices for high-quality outputs.

Required Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or related field.
• Minimum 810 years’ experience in Data Science / Data Engineering.

Key Skills:

• Strong proficiency with Databricks, SQL, and Python.
• Expertise in Power BI for data visualization.
• Knowledge of IoT telemetry data and field service processes.

Language proficiency in English is required; Arabic is a plus.

Join us in shaping the future of sustainable urban mobility!