VP, Liquidity Analytics & Data Engineering

Abu Dhabi Investment Company

Abu Dhabi

In loco

AED 180.000 - 220.000

Tempo pieno

14 giorni+
Generatore di candidature

Ricevi una risposta da questo datore di lavoro — un curriculum e una lettera di presentazione personalizzati, che corrispondono esattamente a ciò che sta cercando.

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Descrizione del lavoro

Abu Dhabi Investment Company is seeking an experienced data engineer to lead the technical development and operational ownership of its in-house liquidity model. You will be responsible for writing and optimizing production-grade code, building and operating data pipelines, and integrating various data sources into the liquidity model.

The ideal candidate will have 8-12 years of experience in data engineering or applied analytics, particularly within financial services. Certifications in modern data technologies such as Snowflake, AWS, or Azure would be desirable.

Competenze

  • 8-12 years of experience in data engineering, quantitative development, or applied analytics.
  • 5+ years of experience building and maintaining production applications in financial services.
  • Technical certifications in relevant areas are desirable.

Mansioni

  • Responsible for technical development and operational ownership of liquidity model.
  • Write, optimize, and maintain production-grade code.
  • Integrate data ecosystem with liquidity model.

Conoscenze

Python
SQL
Data Engineering
Analytics

Formazione

University degree in Computer Science, Software Engineering, Data Science, Financial Engineering, Quantitative Finance, or Mathematics

Strumenti

Snowflake
AWS
Azure

Descrizione del lavoro

Abu Dhabi Investment Company is seeking an experienced data engineer to lead the technical development and operational ownership of its in-house liquidity model. You will be responsible for writing and optimizing production-grade code, building and operating data pipelines, and integrating various data sources into the liquidity model.

The ideal candidate will have 8-12 years of experience in data engineering or applied analytics, particularly within financial services. Certifications in modern data technologies such as Snowflake, AWS, or Azure would be desirable.

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