Data Engineer

RAKBANK is hiring a Data Engineer. Level rates it ; you can apply on RAKBANK.

Level's read on this job

On Level's scale, this data engineer role is Little AI ●○○○: aI is not part of the work.
The posting mentions Databricks, Python and PySpark among its tools and skills.
Level classes it as a mid-level role.
RAKBANK has 55 other open roles on Level.
Posted within the past week.

AI in this role

Design and maintain scalable data pipelines and Databricks lakehouse solutions to power analytics and AI initiatives at Rakbank.

databrickspythonpysparkdelta-lakeazure-data-factorydbtkafkasqlazure-devopsgit

data-engineeringetldata-modelingdata-governanceagile

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.

How we rate this

Data Engineer at RAKBANK rates 20 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Data Engineer is an open job at RAKBANK.
Level rates this role AI Level 1 of 4: Little AI.
The role is based in United Arab Emirates.
The job was posted on October 19, 2026.
Seniority: mid.
Applications are handled by RAKBANK. Apply on RAKBANK

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Data EngineeringETLData ModelingData GovernanceAgileDatabricksPythonPySpark

Also common in data engineer jobs at this level

AWS Airflow Google Cloud Snowflake Java Scala

Pay

Typical data engineer job: $150k

This posting doesn't list pay. Use the typical data engineer figure when pay comes up. See data engineer jobs

Questions you could be asked

Tell me about a project where data engineering was part of your work. What did you do?
Tell me about a project where etl was part of your work. What did you do?
Tell me about a project where data modeling was part of your work. What did you do?
Tell me about a project where data governance was part of your work. What did you do?
Tell me about a project where agile was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: Data Engineering, ETL, Data Modeling, Data Governance, and Agile. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.

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