Data Engineer📣 Job Ad

Join our team as a Data Engineer!
We are seeking a talented Data Engineer to design, build, and maintain robust data pipelines that transform and load various data sources into unified data sets for analysis. In this role, you will collaborate closely with data scientists and analysts to provide reliable data solutions tailored to meet their specific needs.

Key Responsibilities:

• Design and implement data pipelines ensuring high-quality and integrity.
• Collaborate with teams to develop data solutions.
• Optimize performance of data storage and processing systems.
• Create and maintain documentation of data pipelines and processing techniques.
• Stay updated with industry best practices and emerging technologies.

Qualifications:

• Bachelor’s degree in Computer Science, Data Science, or a related field.
• 3+ years of experience in Data Engineering or a similar role.
• Proficiency in Python or Java, and experience with ETL tools.
• Strong SQL skills with experience in relational and NoSQL databases.
• Familiarity with cloud services (AWS, Azure) and big data technologies (Hadoop).
• Excellent problem-solving skills and teamwork capability.

We encourage all applicants who meet the qualifications to apply and become part of our exciting team.

Join GitMax as a Lead Data Engineer!

Our client, a leading organization in the financial services sector, is seeking an experienced Lead Data Engineer to drive strategic data platform initiatives. This role is ideal for professionals with a strong background in Data Warehousing (DWH), ETL, and large-scale data migrations, especially in the fintech or IT consulting domain. You'll be working on mission-critical data platform modernization programs for Tier-1 clients in the Middle East.

Key Responsibilities:

• Lead end-to-end design and execution of enterprise data warehouse and reporting solutions.
• Oversee the migration of legacy data environments to a modern unified platform based on Greenplum.
• Drive data integration using Debezium and RabbitMQ for Change Data Capture (CDC) and streaming.
• Collaborate with business stakeholders and engineering teams to define technical requirements and delivery roadmaps.
• Guide and mentor a team of 5+ data engineers, ensuring timely delivery and quality standards.
• Work closely with BI developers and analysts to enable seamless access to reporting data.
• Ensure alignment with best practices in data governance, architecture, and compliance.
• Act as a key contributor in client-facing discussions and workshops.

Tech Stack & Requirements:
Must-Have Skills:

• Proven experience with Greenplum, Teradata, and advanced SQL.
• Hands-on experience with enterprise ETL tools (Informatica PowerCenter or similar).
• 5+ years working on Data Warehousing projects within financial or enterprise environments.
• Team leadership experience, including ownership of deliverables and mentoring.

Nice-to-Have Skills:

• Debezium, Kafka, RabbitMQ, or other streaming/CDC tools.
• Exposure to BI tools like MicroStrategy, Power BI.
• Understanding of Java and microservices-based architecture is a plus.

Other Requirements:

• Strong communication and stakeholder management skills.
• Fluency in English (both written and verbal).
• Willingness to relocate to Saudi Arabia or commit to frequent business travel (minimum 70% on-site).

What’s in it for You:

• Competitive salary (based on experience & seniority).
• Comprehensive relocation support: visa sponsorship, accommodation, airfare reimbursement, and local transport.
• Medical insurance included.
• Dynamic, multicultural work environment and high-impact projects in the Middle East fintech ecosystem.

Join Mozn as a Data Engineer
At Mozn, we are at the forefront of revolutionizing the AI landscape in Saudi Arabia. With a commitment to supporting the digital ecosystem and realizing Vision 2030, we are looking for a talented Data Engineer to enhance our team.

Role Overview
As a Data Engineer, you will be vital in developing our innovative Text-to-SQL product, 'Talk to Your Data'. Your responsibilities will include:

• Designing, building, and optimizing data pipelines.
• Collaborating with machine learning engineers to ensure seamless data integration.
• Maintaining data quality and enhancing system performance.
• Implementing validation mechanisms and monitoring pipeline performance.

Qualifications
To thrive in this role, you should possess:

• 35 years of experience in data engineering or similar fields.
• Strong SQL skills and experience with various relational databases.
• Proficiency in Python and familiarity with ETL tools.
• Excellent problem-solving and communication capabilities.

Why Choose Mozn?
Joining Mozn means being part of an exciting journey. We offer:

• Competitive compensation and top-tier health insurance.
• A dynamic workplace culture that encourages innovation.
• Opportunities to work alongside industry experts in AI.

If you are ready to make a significant impact in the field of AI and advance your career, we encourage you to apply today.