Data Architect

First Abu Dhabi Bank (FAB); Abu Dhabi; On-site; AED 180,000 - 240,000; Full time

Job summary

A leading financial institution seeks an experienced Data Engineer to design and maintain ETL/ELT processes, manage datasets, and implement data governance. The ideal candidate has over 5 years of experience in data engineering and a Bachelor's degree in Computer Science or related fields. Candidates should possess strong coding skills in Python and SQL, and experience with cloud platforms. This role offers an opportunity to enhance data accessibility and integrity within a rapidly evolving data landscape.

Qualifications

• 5+ years of experience in data engineering, ETL development, or data warehousing.
• Demonstrated ability to design and manage ETL/ELT processes.
• Experience with big data architectures and optimizing data pipelines.

Responsibilities

• Design, implement, and maintain robust ETL/ELT processes.
• Process and manage complex datasets to support business needs.
• Implement best practices for data governance, security, and quality.

Skills

Data engineering

ETL/ELT development

SQL

Python

Cloud platforms (Azure/AWS/GCP)

Education

Bachelor’s degree in Computer Science, Engineering, or related field

Tools

Airflow

Luigi

dbt

Job description

Responsibilities

• Design, implement, and maintain robust ETL/ELT processes to ingest, clean, and transform data from multiple sources


• Process and manage complex datasets to support business and analytical needs


• Conduct regular testing and enhancement of data pipelines to improve efficiency


• Implement best practices for data validation, testing, and monitoring, proactively identifying and resolving issues to maintain data integrity


• Collaborate with software engineers and AI/ ML engineers to ensure seamless data accessibility


• Implement best practices for data governance, security, and quality assurance


• Document data architectures, lineage, and metadata to ensure transparency and reproducibility

Qualifications

• 5+ years of experience in data engineering, ETL development, or data warehousing


• Demonstrated ability to design and manage ETL/ELT processes using tools like Airflow, Luigi, or dbt to automate data workflows and transformations


• Experience with big data architectures and optimizing data pipelines


• Deep familiarity with SQL for data manipulation and querying


• Strong coding skills in Python, and at least one other language (Scala/Java)


• Hands-on experience with cloud-based data platforms (Azure/AWS/GCP)


• Strong analytical skills for working with large-scale unstructured datasets


• Ability to diagnose data issues, optimize performance, and communicate technical solutions effectively to both technical and non-technical stakeholders


• Educational qualifications: Bachelor’s degree in Computer Science, Engineering, or related field required