Our client, a major energy company in the UAE, is seeking an experienced Senior Data Engineer to join their team for a 12-month rolling contract.
This position offers a fantastic opportunity for candidates looking to work in a dynamic, fast-paced environment while benefiting from tax-free income, comprehensive relocation support, visas, and healthcare.
If you have a passion for building scalable data infrastructure and have client-facing experience, this could be the perfect opportunity for you.
Key Responsibilities:
Data Infrastructure & Architecture: Design, develop, and maintain scalable data pipelines, databases, and data warehouses.
Client-Facing: Collaborate directly with clients to understand their business needs and provide data-driven solutions.
Data Integration: Integrate data from multiple sources, ensuring high performance, reliability, and accuracy.
Data Modeling: Create and maintain data models to ensure easy accessibility and usability of data for analytics and reporting purposes.
Automation & Optimization: Identify opportunities to automate repetitive tasks and optimize data workflows.
Performance Tuning: Monitor and tune system performance to ensure high availability and efficient resource utilization.
Collaborative Development: Work alongside data scientists, analysts, and other engineering teams to build data solutions that support business objectives.
Documentation & Reporting: Document data pipelines, processes, and solutions to ensure transparency and maintainability.
Key Requirements:
Experience:
3-5 years of experience in data engineering or related fields.
Proven experience working in client-facing roles.
Solid understanding of data infrastructure and experience with modern data platforms (e.g., AWS, Azure, GCP).
Hands-on experience with ETL frameworks and data integration tools (e.g., Apache Airflow, Talend, Informatica).
Expertise in data modeling, database management, and query optimization.
Technical Skills:
Proficient in SQL, Python, or Scala.
Strong experience with cloud technologies and platforms (AWS, GCP, or Azure).
Familiarity with big data tools (e.g., Hadoop, Spark, Kafka).
Experience with containerization technologies (e.g., Docker, Kubernetes) is a plus.
Knowledge of DevOps and CI/CD pipelines is desirable.
Communication & Leadership:
Excellent communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders.
Certifications (Preferred):
AWS Certified Data Analytics - Specialty or equivalent certifications.
Google Cloud Professional Data Engineer or equivalent certifications.
Benefits & Perks:
Tax-Free Income: Competitive salary package with tax-free income.
Relocation Support: Assistance with relocation costs and logistics..
Visa & Work Permits: Full visa sponsorship and work permits provided.
Healthcare: Comprehensive healthcare coverage for the duration of the contract.
12-Month Rolling Contract: Opportunity to extend or transition into a permanent role depending on performance and business needs.
GCS is acting as an Employment Business in relation to this vacancy
