مهندس بيانات📣 إعلان

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!

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.