Data Engineer - Spark, Databricks & Cloud Analytics

Rakbank

Dubai

On-site

AED 180,000 - 300,000

Full time

5 days ago
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Job summary

Rakbank in Dubai is seeking a Data Engineer to join our Data & Analytics team within IT. You will design and maintain scalable data pipelines on the Databricks Lakehouse, ingesting and transforming data for analytics, regulatory reporting, and AI use cases.

You bring 3–7 years in data or software engineering, strong SQL, Python, PySpark, and experience with Databricks, Delta Lake, and Azure Data Factory. Familiarity with CI/CD, Git, and Agile practices will help you collaborate with architects

Qualifications

  • 3-7 years of experience in data engineering or related field.
  • Hands-on with SQL, Python, PySpark, and Spark SQL.
  • Experience with Databricks, Delta Lake, Databricks Workflows, and Databricks SQL.
  • Knowledge of Azure Data Factory, dbt, CDC frameworks, and Kafka/Confluent.
  • Understanding of dimensional modelling, medallion architecture, data quality & governance.
  • Familiarity with Git, CI/CD, and Agile delivery.
  • Strong problem-solving, collaboration, and communication skills.
  • Banking/financial services experience is advantageous.
  • Azure or Databricks certifications are a plus.

Responsibilities

  • Design, build, deploy, and maintain scalable data pipelines on the Databricks Lakehouse platform.
  • Develop and optimize data ingestion, transformation, and enrichment for batch, streaming, and near-real-time workloads.
  • Build and maintain curated datasets and data models for BI, analytics, regulatory reporting, and AI use cases.
  • Implement data quality controls, monitoring, reconciliations, and automated testing frameworks.
  • Support migration of legacy data solutions into modern cloud-based data platforms.
  • Troubleshoot production issues, perform root-cause analysis, and improve platform reliability.
  • Collaborate with architects, analysts, governance teams, and stakeholders to deliver trusted data products.
  • Contribute to Agile delivery using Azure DevOps, CI/CD, and engineering best practices.

Skills

Data Engineering
SQL
Python
PySpark
Spark SQL
Databricks
Delta Lake
Databricks Workflows
Databricks SQL
Azure Data Factory
dbt
Kafka/Confluent
Git
CI/CD
Agile
Communication
Collaboration
Problem-Solving
Certifications

Tools

Databricks
Delta Lake
Databricks Workflows
Databricks SQL
Azure Data Factory
dbt
Kafka/Confluent
Git
CI/CD tools

Job description

Rakbank in Dubai is seeking a Data Engineer to join our Data & Analytics team within IT. You will design and maintain scalable data pipelines on the Databricks Lakehouse, ingesting and transforming data for analytics, regulatory reporting, and AI use cases.

You bring 3–7 years in data or software engineering, strong SQL, Python, PySpark, and experience with Databricks, Delta Lake, and Azure Data Factory. Familiarity with CI/CD, Git, and Agile practices will help you collaborate with architects

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