Senior Data Engineer

Job Description Roles & Responsibilities 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. Company Industry IT - Software Services Department / Functional Area IT Software Keywords Senior Data Engineer Get real-time job updates only on our App