
Data Engineer
At a Glance
- Category
- 💻 Technology
- Level
- Mid-Level
- Experience
- 3-7 years
- Type
- Full-time
Before You Apply
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At Rakbank, we're transforming the way data drives decision-making across the organization. We are looking for a talented Data Engineer to join our growing Data & Analytics team and help build scalable, reliable, and secure data solutions that power analytics, reporting, regulatory, operational, and AI-driven initiatives. The role is based within our Information Technology division and reports to the Lead Data Engineer.
What You Will Do
- Design, build, deploy, and maintain scalable data pipelines on the Databricks Lakehouse platform.
- Develop and optimize data ingestion, transformation, and enrichment processes across batch, streaming, and near-real-time workloads.
- Build and maintain curated datasets and data models that support business intelligence, 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 continuously improve platform reliability.
- Collaborate with architects, analysts, governance teams, and business stakeholders to deliver trusted data products.
- Contribute to Agile delivery practices using Azure DevOps, CI/CD, and engineering best practices.
What You Will Bring
- 3-7 years of experience in Data Engineering, Analytics Engineering, Software Engineering, or a related field.
- Strong hands-on experience with SQL, Python, PySpark, and Spark SQL.
- Experience working with Databricks, Delta Lake, Databricks Workflows, and Databricks SQL.
- Knowledge of Azure Data Factory (ADF), dbt, CDC frameworks, and streaming technologies such as Kafka/Confluent.
- Understanding of dimensional modelling, medallion architecture, data quality frameworks, and data governance principles.
- Familiarity with Git, CI/CD practices, and Agile delivery methodologies.
- Strong problem-solving, collaboration, and communication skills.
- Banking or financial services experience is advantageous.
- Azure or Databricks certifications will be an added advantage.
Requirements
- •3-7 years of experience in Data Engineering, Analytics Engineering, Software Engineering, or a related field
- •Strong hands-on experience with SQL, Python, PySpark, and Spark SQL
- •Experience with Databricks, Delta Lake, Databricks Workflows, and Databricks SQL
- •Knowledge of Azure Data Factory (ADF), dbt, CDC frameworks, and streaming technologies like Kafka/Confluent
- •Understanding of dimensional modelling, medallion architecture, data quality frameworks, and data governance
- •Familiarity with Git, CI/CD practices, and Agile delivery methodologies
- •Strong problem-solving, collaboration, and communication skills
Nice to Have
- •Banking or financial services experience
- •Azure or Databricks certifications
Responsibilities
- •Design, build, deploy, and maintain scalable data pipelines on the Databricks Lakehouse platform
- •Develop and optimize data ingestion, transformation, and enrichment processes across batch, streaming, and near-real-time workloads
- •Build and maintain curated datasets and data models for BI, analytics, regulatory reporting, and AI
- •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 and perform root-cause analysis
- •Collaborate with architects, analysts, governance teams, and business stakeholders
- •Contribute to Agile delivery practices using Azure DevOps, CI/CD, and engineering best practices
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- Check your CV before you apply to RAK Bank
- Get every weak line rewritten
- Download a CV written for the Gulf
Free check in 60 seconds. Fixes $5.88 one-time, only if you want them.

RAK Bank is a leading public joint stock bank headquartered in Ras Al Khaimah, UAE. It offers a comprehensive range of retail, corporate, and investment banking solutions across the UAE.