مهندس بيانات📣 إعلان

في تي كي مصعد

منذ 22 ساعة تقريباً

	نوع العقد	دوام كامل
	طبيعة الوظيفة	بالموقع
	الموقع	الرياض

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!

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وظائف مشابهة

مهندس بيانات

📣 إعلان

أيجكس

دوام كامل

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: