Data Architect, Financial Services

DISCOVERED; Abu Dhabi; On-site; AED 60,000 - 120,000; Full time

Job summary

A leading financial services organization in Abu Dhabi is looking for an experienced Data Architect to design and build scalable ETL/ELT pipelines for large-scale data platforms. In this role, you will work with high-volume datasets and collaborate with software engineering and AI/ML teams to ensure data reliability and optimize business needs. The ideal candidate has over 5 years of experience in data engineering, is proficient in SQL and Python, and holds a Bachelor's degree in a relevant field. Strong problem-solving skills are essential.

Qualifications

• 5+ years of experience in data engineering, ETL/ELT development, or data warehousing.
• Proven experience building automated data pipelines using modern orchestration tools.
• Strong analytical and problem-solving skills.

Responsibilities

• Design, implement and maintain scalable ETL/ELT pipelines.
• Work with complex datasets to ensure data reliability and accessibility.
• Collaborate with software engineering and AI/ML teams.

Skills

Data engineering

ETL/ELT development

Big data architectures

SQL

Python

Problem-solving

Education

Bachelor’s degree in Computer Science

Tools

Airflow

Luigi

dbt

Cloud-based data platforms

Job description

Job description

Our client, a leading financial services organization in Abu Dhabi, is seeking an experienced Data Architect to join a newly established AI Innovation Hub, working on large‑scale, enterprise data platforms. This role offers the opportunity to design and build robust data architectures and pipelines that support both operational and advanced analytical use cases in a complex, fast‑moving environment.

The Role

• Design, implement and maintain scalable ETL/ELT pipelines that ingest, cleanse, and transform data from a wide range of sources.
• Work with complex, high‑volume datasets, ensuring data is reliable, accessible, and optimised for business and analytical needs.
• Collaborate closely with software engineering and AI/ML teams, applying best practices across data governance, security, and quality.
• Continuously improve data pipelines, proactively identify issues, and document data architectures, lineage, and metadata to support transparency and long‑term scalability.

Requirements

• 5+ years’ experience in data engineering, ETL/ELT development, or data warehousing.
• Proven experience building and operating automated data pipelines using modern orchestration and transformation tools, such as Airflow, Luigi and dbt.
• Strong understanding of big data architectures and pipeline performance optimisation.
• Advanced SQL skills for data manipulation and querying.
• Proficiency in Python and at least one additional programming language (e.g., Scala or Java).
• Hands‑on experience with cloud‑based data platforms.
• Strong analytical and problem‑solving skills, with the ability to communicate complex technical concepts clearly.
• Bachelor’s degree in Computer Science, Engineering, or a related discipline.