Data Engineer

Premier Standard Medical Diagnostics (PSMD); Dubai; Hybrid; AED 240,000 - 480,000; Full time

Benefits offered by this job

Competitive salary

Performance-based incentives

Professional development & training

Hybrid work arrangements

Job summary

Premier Standard Medical Diagnostics (PSMD) is seeking a data engineer to design, develop, and maintain scalable data pipelines and architectures to support analytics and BI initiatives.

You will integrate data from multiple sources, ensure quality and reliability, collaborate with analysts, scientists, and stakeholders, and implement ETL processes for structured and unstructured data while monitoring performance and documenting best practices. Hybrid work options available.

Qualifications

• Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or related field.
• Proven experience with SQL, Python, and data pipeline frameworks.
• Strong understanding of data warehousing concepts and cloud platforms (AWS, Azure, or Google Cloud).
• Experience with big data technologies such as Spark, Hadoop, or Kafka is an advantage.
• Excellent problem-solving, analytical, and communication skills.
• Ability to work both independently and collaboratively in a fast-paced environment.

Responsibilities

• Design, develop, and maintain scalable data pipelines and architectures to support analytics and business intelligence initiatives.
• Integrate data from multiple sources, ensuring consistency, reliability, and data quality.
• Collaborate with data analysts, scientists, and other stakeholders to define data requirements and optimize data workflows.
• Implement ETL (Extract, Transform, Load) processes for structured and unstructured data.
• Monitor and troubleshoot data systems to ensure performance, security, and efficiency.
• Document data processes, system configurations, and best practices.

Skills

SQL

Python

Data pipelines

Cloud platforms

Analytical thinking

Communication

Education

Bachelor's degree in Computer Science or related field

Tools

AWS

Azure

GCP

Apache Spark

Apache Hadoop

Kafka

Job description

Job Description:

Design, develop, and maintain scalable data pipelines and architectures to support analytics and business intelligence initiatives.

Integrate data from multiple sources, ensuring consistency, reliability, and data quality.

Collaborate with data analysts, scientists, and other stakeholders to define data requirements and optimize data workflows.

Implement ETL (Extract, Transform, Load) processes for structured and unstructured data.

Monitor and troubleshoot data systems to ensure performance, security, and efficiency.

Document data processes, system configurations, and best practices.

Requirements:

Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or related field.

Proven experience with SQL, Python, and data pipeline frameworks.

Strong understanding of data warehousing concepts and cloud platforms (e.g., AWS, Azure, or Google Cloud).

Experience with big data technologies such as Spark, Hadoop, or Kafka is an advantage.

Excellent problem-solving, analytical, and communication skills.

Ability to work both independently and collaboratively in a fast-paced environment.

Benefits:

Competitive salary and performance-based incentives.

Opportunities for professional development and technical training.

Innovative and collaborative work culture.

Flexible or hybrid working arrangements.