Senior Data Engineer

The Opportunity My client is looking for a Senior Data Engineer to join their growing engineering team in Dubai. This is an opportunity to take ownership of a modern data platform, building and operating scalable data pipelines that power analytics, AI, machine learning and customer-facing products. You ll work across the full data lifecycle, from ingesting high-volume streaming data through to designing reliable warehouse models and enabling self-service analytics. This is a hands-on engineering role suited to someone who enjoys solving complex data challenges, working with distributed systems, and building production-ready data infrastructure that is relied upon across the business.

Key Responsibilities

• Design, build and maintain scalable batch and real-time data pipelines
• Own production data pipelines from development through to monitoring, optimisation and support
• Build reliable datasets that enable analytics, reporting, AI and machine learning initiatives
• Design and optimise data models within modern data warehouse environments
• Develop and maintain streaming data solutions using Kafka or similar technologies
• Work with large-scale, high-volume datasets, ensuring quality, accuracy and performance
• Implement robust testing, monitoring and data quality processes
• Collaborate closely with Product, Engineering, Data Science and Business stakeholders to understand requirements and deliver trusted data solutions
• Contribute to the architecture and technical direction of the company s data platform
• Leverage automation and AI where appropriate to improve engineering efficiency and platform scalability
• Desired Candidate Profile 8+ years experience as a Data Engineer building production-grade data platforms
• Strong Python and SQL development skills
• Experience building both batch and streaming data pipelines
• Hands-on experience with Kafka or equivalent streaming technologies
• Strong knowledge of data modelling and modern data warehouse platforms such as Snowflake, ClickHouse, BigQuery or Redshift
• Experience working with cloud platforms (AWS preferred)
• Experience with Kubernetes, Docker and Infrastructure as Code (Terraform or similar)
• Familiarity with orchestration tools such as Airflow and transformation frameworks such as dbt
• Strong understanding of distributed systems, scalability and data reliability
• Experience implementing data quality frameworks and monitoring solutions
• Excellent communication skills with the ability to work cross-functionally
• Desirable

Experience

Time-series databases (TimescaleDB or similar). IoT, telematics or sensor-generated data. ClickHouse. Geospatial data and PostGIS. Event sourcing or state reconstruction. AI-assisted or agentic data engineering. Multi-tenant SaaS platforms. Startup or high-growth technology company experience. Data governance, lineage or metadata management tools.