Senior Data Platform Lead - Databricks, Real-Time Pipelines

RAKBANK

Dubai

In loco

AED 390.600 - 558.000

Tempo pieno

14 giorni+
Generatore di candidature

Una candidatura fatta su misura per questo lavoro — un curriculum e una lettera di presentazione personalizzati, perfettamente in linea con l'annuncio.

Supera i filtri ATS

Descrizione del lavoro

RAKBANK in Dubai is looking for a Lead Data Engineer to spearhead the engineering and operations of their enterprise data platform. The ideal candidate will possess extensive experience in managing high-performance data platforms using technologies like Databricks, Azure Data Factory, and Kafka.

The role involves collaboration with multiple teams to drive digital transformation and support regulatory reporting needs. Strong leadership and technical skills in a data engineering capacity are essential for this position.

Competenze

  • 10 years of experience in data engineering, data platforms, or analytics engineering.
  • Proven leadership experience managing data engineering teams and platform operations.
  • Strong hands-on expertise in Databricks, Azure Data Factory, Kafka, Confluent, and dbt.

Mansioni

  • Own the engineering and operation of RAKBANK’s enterprise data platform.
  • Design, build, and operate scalable data pipelines using Azure Data Factory and Kafka.
  • Collaborate with AI and analytics teams to enable advanced data products.

Conoscenze

Data engineering
Platform operations
Databricks
Azure Data Factory
Kafka
Confluent
DataOps
CI/CD

Formazione

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

Strumenti

Databricks lakehouse
Unity Catalog
dbt

Descrizione del lavoro

RAKBANK in Dubai is looking for a Lead Data Engineer to spearhead the engineering and operations of their enterprise data platform. The ideal candidate will possess extensive experience in managing high-performance data platforms using technologies like Databricks, Azure Data Factory, and Kafka.

The role involves collaboration with multiple teams to drive digital transformation and support regulatory reporting needs. Strong leadership and technical skills in a data engineering capacity are essential for this position.

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