Senior Data Engineer

BlackStone eIT; United Arab Emirates; Remote; AED 120,000 - 200,000; Full time

Job summary

A leading tech company in the UAE is seeking a Senior Data Engineer to help design and optimize their robust data infrastructure. You will be responsible for maintaining scalable data architectures and facilitating data transfer via ETL processes. The ideal candidate has 5+ years of experience in data engineering, a strong command of SQL, and is adept at problem-solving and analyzing complex datasets. This position offers remote work flexibility and a potential for relocation after 6 months based on performance.

Benefits

Remote Model

Time Flexibility

Relocation after 6 months based on performance

Qualifications

• 5+ years of experience in data engineering or a similar role.
• Proficiency in SQL and experience with relational databases.
• Hands-on experience with data pipeline tools and ETL processes.

Responsibilities

• Design, implement, and maintain scalable data architectures and pipelines.
• Develop ETL processes for smooth data transfer and transformation.
• Collaborate with data scientists and analysts to fulfill data needs.

Skills

SQL

Data pipeline tools

ETL processes

Analytical skills

Problem-solving

Teamwork

Education

Bachelor's degree in Computer Science, Engineering, or related field

Tools

Hadoop

Spark

Job description

BlackStone eIT is on the lookout for a Senior Data Engineer to join our innovative team. In this role, you will be responsible for the design, development, and optimization of our data infrastructure. You'll play a crucial part in supporting data analytics initiatives across the organization by ensuring we have robust and scalable data pipelines in place.

The ideal candidate is not only an exceptional data engineer but also a problem-solver with a keen ability to analyze complex data sets and translate findings into actionable insights. This position requires a strong background in database systems, data modeling, and ETL processes.

Key Responsibilities

• Design, implement, and maintain scalable data architectures and pipelines.
• Develop ETL processes to facilitate smooth data transfer and transformation from various sources.
• Collaborate with data scientists and analysts to fulfill data needs for analytics and reporting.
• Optimize database performance and maintain data integrity across systems.
• Conduct data quality checks and resolve discrepancies.
• Mentor junior data engineers and provide technical guidance.
• Stay current with emerging technologies and best practices in data engineering.

• Bachelor’s degree in Computer Science, Engineering, or a related field.
• 5+ years of experience in data engineering or a similar role.
• Proficiency in SQL and experience with relational databases.
• Hands‑on experience with data pipeline tools and ETL processes.
• Familiarity with big data technologies (e.g., Hadoop, Spark) is a plus.
• Strong analytical and problem‑solving skills.
• Excellent communication and teamwork abilities.
• Experience with cloud‑based data solutions is an advantage.

• Remote Model
• Time Flexibility
• Relocation after 6months based on performance