Data Tech Lead

Brickstech; Dubai; On-site; AED 400,000 - 650,000; Full time

Job summary

Brickstech in Dubai is seeking an experienced Data Tech Lead to guide our data engineering initiatives and shape the data architecture across platforms.

You will mentor engineers, oversee ETL and data warehousing projects, collaborate with cross-functional teams, and ensure data quality, security, and performance while staying ahead of industry trends.

Qualifications

• 10+ years of professional experience in data engineering or related fields.
• Proven leadership experience in managing data engineering teams.
• Strong expertise in data architecture, data modeling, and database design.

Responsibilities

• Lead and manage the data engineering team to deliver high-quality data solutions.
• Design, implement, and maintain scalable and robust data architectures.
• Collaborate with cross-functional teams to align data solutions with business needs.
• Ensure data quality, integrity, and security across all data platforms.
• Oversee data integration, ETL processes, and data warehousing solutions.
• Mentor and provide technical guidance to data engineers and analysts.
• Optimize data systems and services for performance and cost efficiency.
• Stay current with industry trends and technologies to incorporate new techniques and tools.

Skills

Data leadership

Data architecture

ETL design

Python/Java/Scala

Cloud platforms (AWS/GCP/Azure)

Big data tech (Hadoop/Spark/Kafka)

Data modeling

Communication

Problem solving

Team mentoring

Education

Bachelor’s or Master’s in CS/IT/Data Science

Tools

Hadoop

Spark

Kafka

Job description

Job Description

Job Summary

We are seeking an experienced and dedicated Data Tech Lead to join our team. The ideal candidate will have a proven track record of leading data engineering projects, extensive experience in data architecture, and a passion for driving innovation. You will be responsible for guiding the data team, overseeing data-related projects, and ensuring the integrity and performance of our data systems.

Responsibilities

• Lead and manage the data engineering team to deliver high-quality data solutions.
• Design, implement, and maintain scalable and robust data architectures.
• Collaborate with cross-functional teams to align data solutions with business needs.
• Ensure data quality, integrity, and security across all data platforms.
• Oversee data integration, ETL processes, and data warehousing solutions.
• Mentor and provide technical guidance to data engineers and analysts.
• Optimize data systems and services for performance and cost efficiency.
• Stay current with industry trends and technologies to incorporate new techniques and tools.

Requirements

• Over 10 years of professional experience in data engineering or related fields.
• Proven leadership experience in managing data engineering teams.
• Strong expertise in data architecture, data modeling, and database design.
• In-depth knowledge of data integration, ETL processes, and data warehousing.
• Proficiency in programming languages such as Python, Java, or Scala.
• Experience with cloud platforms such as AWS, Google Cloud Platform, or Azure.
• Familiarity with big data technologies like Hadoop, Spark, or Kafka.
• Excellent problem-solving skills and attention to detail.
• Strong communication and interpersonal skills.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Science, Information Technology, or a related field.
• Certifications in data management or cloud computing technologies are desirable.
• Demonstrated ability to work in an on-site, collaborative team environment.
• Strong project management skills with the ability to manage multiple priorities.

This position offers the opportunity to work on-site and play a crucial role in shaping the future of our data capabilities. Join us to lead our data team towards innovation and excellence.