Banking Data Engineer: Redshift & Modeling Expert

Client of Salt

Abu Dhabi

On-site

AED 180,000 - 300,000

Full time

5 days ago
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Job summary

Client of Salt is seeking a data engineer to develop data marts, build data products from banking datasets and design customer 360 views for analytics, ML and AI use cases. The role involves migrating from a Microsoft database environment to Amazon Redshift and requires strong data modelling capabilities.

The project is a 1-year contract based in Abu Dhabi, UAE, with the potential to extend. Banking domain experience and hands-on SQL development are essential, with Python familiarity encouraged

Qualifications

  • Hands-on SQL development with complex queries and stored procedures.
  • Experience in data mart development, warehousing, and data modelling.
  • Working knowledge of Python.
  • Experience with Microsoft SQL Server or similar databases.
  • Amazon Redshift knowledge is preferred.
  • Familiarity with AI-assisted development tools such as Copilot or Claude is an advantage.

Responsibilities

  • Develop data marts and scheduled data transformation workflows.
  • Design data models and customer 360 views for analytics, ML and AI use cases.
  • Build reusable data products using banking datasets.
  • Support migration from Microsoft database environment to Amazon Redshift.
  • Some resources should have strong Data Architecture or advanced Data Modelling capabilities.

Skills

SQL development
Data warehousing
Data modelling
Python
MS SQL Server
Amazon Redshift
Copilot
Claude

Job description

Client of Salt is seeking a data engineer to develop data marts, build data products from banking datasets and design customer 360 views for analytics, ML and AI use cases. The role involves migrating from a Microsoft database environment to Amazon Redshift and requires strong data modelling capabilities.

The project is a 1-year contract based in Abu Dhabi, UAE, with the potential to extend. Banking domain experience and hands-on SQL development are essential, with Python familiarity encouraged

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