Senior Data Engineer

About This Role

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Data Engineer in United Arab Emirates. This role sits at the core of a fast-scaling global data ecosystem, focused on building and optimizing high-performance data platforms that power analytics and business decision-making. You will design and maintain modern data pipelines supporting large-scale, distributed systems with a strong emphasis on reliability and scalability. The environment is highly international, remote-first, and collaboration-driven, bringing together diverse engineering and analytics teams. You will play a key role in shaping data architecture practices, including the implementation of Medallion architecture. This position offers the opportunity to work with cutting-edge data stack technologies and contribute directly to data-driven product evolution. Your work will have a tangible impact on improving data quality, accessibility, and business insights across global products.

Accountabilities

• Design, develop, and maintain scalable data pipelines using tools such as Airflow, Airbyte, DBT, and Snowflake
• Implement and evolve Medallion architecture (bronze, silver, gold layers) to structure enterprise data efficiently
• Build and optimize ETL/ELT workflows integrating data from multiple sources, including SQL, NoSQL databases, and APIs
• Improve data modeling practices, ensuring consistency, reliability, and high data quality standards
• Monitor, troubleshoot, and optimize pipeline performance to ensure robustness and efficiency
• Collaborate closely with data analysts, product, and business teams to translate data into actionable insights

Requirements

• Strong proficiency in SQL and Python for data engineering and pipeline development
• Hands-on experience with DBT, including models, macros, tests, and snapshots
• Solid knowledge of Snowflake or similar cloud data warehouse solutions
• Proven experience designing and building scalable data warehouses and data pipelines
• Strong understanding of data modeling concepts such as star and snowflake schemas
• Ability to work in cross-functional, remote, and fast-paced environments with strong communication skills

Benefits

• Fully remote full-time opportunity with global flexibility
• 27 paid working days off per year with full compensation
• 10 paid sick days per year with partial compensation
• Provision or reimbursement of technical equipment (laptop, peripherals, etc.)
• Access to professional and personal development courses upon request (Coursera)
• 1-to-1 language learning sessions available via Preply
• Referral bonus program up to 5,000 EUR
• After 3 months: home office setup budget up to 1,000 EUR (renewable every 3 years)
• Annual wellness budget up to 2,800 EUR for healthcare, fitness, or wellness services

How Jobgether Works We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.