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 will 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.

Qualifications

• 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.