Data Engineer

About the role

We are partnering with a fast‑growing technology business in the UAE that treats data infrastructure as a core asset. The role offers a senior‑level engineer the chance to design, build and optimise data pipelines that power real business outcomes.

Key responsibilities

• Design, build and maintain scalable batch and streaming data pipelines.
• Own the continuous improvement of the data platform, ensuring reliability, performance and scalability.
• Collaborate with data scientists, analysts and AI engineers to deliver clean, well‑structured data on demand.
• Implement data‑quality frameworks, testing practices and observability tooling for production pipelines.
• Contribute to data modelling and architecture decisions that support business growth.
• Support AI/ML initiatives by providing infrastructure for model training, feature engineering and inference.

Required profile

• Minimum 5 years of experience in data engineering or a closely related discipline.
• Strong proficiency in Python and SQL, applying software‑engineering best practices to data work.
• Hands‑on experience with cloud data platforms such as Snowflake, BigQuery or Redshift.
• Proven ability to build batch and streaming pipelines using Apache Spark, Kafka or Airflow.
• Familiarity with dbt or equivalent transformation tools and modern data‑stack practices.
• Solid understanding of data governance, quality and security in production environments.

Required skills

• Python
• SQL
• Snowflake
• BigQuery
• Redshift
• Apache Spark
• Kafka
• Airflow
• dbt
• Data governance and security