Data Engineer

Job description

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​Discover the Opportunity

We’re partnering with a leading financial services organisation in Abu Dhabi that is continuing to invest heavily in its Data & AI capabilities.

They’re looking for an experienced Data Engineer to build the scalable data infrastructure and pipelines that underpin advanced AI and machine learning solutions across the

business.

This is a hands-on engineering role where you’ll work closely with AI, ML and software engineering teams, ensuring they have access to reliable, high-quality data at scale.

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Discover the Responsibilities

• Design, build and optimise scalable ETL/ELT pipelines to ingest, process and transform structured and unstructured data.

  
  

• Develop reliable data infrastructure capable of supporting large-scale AI, machine learning and analytics workloads.

  
  

• Continuously test, monitor and optimise data pipelines to improve performance, reliability and data integrity.

  
  

• Work closely with AI/ML and software engineering teams to make high-quality data easily accessible for downstream applications.

  
  

• Implement strong data quality, validation, governance and security practices across the data lifecycle.

  
  

• Maintain clear documentation around data architecture, lineage and metadata.

  
  

Discover the Requirements

• 5+ years of experience in Data Engineering, ETL development, data warehousing ors imilar positions.

  
  

• Strong hands-on experience designing and managing ETL/ELT workflows using technologies such as Airflow, dbt, Luigi or similar.

  
  

• Excellent Python and SQL skills, alongside experience with Scala, Java or another relevant programming language.

  
  

• Experience working with big data architectures and optimising large-scale data pipelines.

  
  

• Hands-on experience with cloud data environments across Azure, AWS or GCP.

  
  

• Experience processing and managing large-scale structured and unstructured datasets.

  
  

• Strong understanding of data quality, governance, monitoring and engineering best practices.

  
  

• Excellent problem-solving skills with the ability to diagnose performance and data issues.

  
  

• Bachelor’s degree in Computer Science, Engineering or a related technical discipline.

  
  

Why Join?

• Work on large-scale Data & AI initiatives within a highly ambitious technology environment

  
  

• Build the data foundations behind production AI and machine learning solutions

  
  

• Work alongside experienced Data, AI, ML and Software Engineers

  
  

• Take ownership of technically challenging data engineering problems with genuine business impact