Data Engineer Job in Dubai, UAE – RAKBANK Hiring in Data & Analytics

RAKBANK is hiring a Data Engineer in Dubai, UAE. Explore job requirements, skills, qualifications, and application details for 2026.

Company: RAKBANK (National Bank of Ras Al Khaimah)

Job Title: Data Engineer

Location: RAKBANK Operation Centre, Dubai, United Arab Emirates

Department: Information Technology – Data & Analytics

Employment Type: Full-time

Work Arrangement: On-site

Required Education: Bachelor’s Degree

Required Experience: 3–7 years

Job Identification: 701

Posted On: 19 October 2026

Application Deadline: 31 October 2026

Industry: Banking, Financial Services, Data Engineering & Analytics

About RAKBANK

RAKBANK is looking for an experienced Data Engineer to join its growing Data & Analytics team in Dubai, UAE. The bank is focused on transforming the way data supports business decisions, regulatory reporting, operational processes, analytics, and artificial intelligence initiatives.

This opportunity is suitable for professionals with strong technical expertise in data engineering, cloud-based data platforms, data pipeline development, and large-scale data processing. The selected candidate will work with modern technologies, including Databricks, SQL, Python, PySpark, and Microsoft Azure, to build secure, scalable, and reliable data solutions.

Candidates with experience in financial services, data governance, and enterprise analytics platforms may find this role particularly relevant.

Job Description

RAKBANK is seeking a skilled Data Engineer to design, develop, deploy, and maintain modern data solutions using the Databricks Lakehouse platform. The successful candidate will support the delivery of trusted data products for business intelligence, analytics, regulatory reporting, operational requirements, and AI-driven applications.

The role involves working closely with data architects, analysts, governance teams, and business stakeholders to ensure data is accurate, accessible, secure, and ready for business use. Applicants should have practical experience in data engineering technologies, cloud data platforms, data modelling, and automated data processing.

Key Responsibilities

• Design, develop, deploy, and maintain scalable data pipelines using Databricks Lakehouse.
• Build and optimize data ingestion, transformation, and enrichment processes for batch, streaming, and near-real-time workloads.
• Develop curated datasets and data models to support business intelligence, analytics, regulatory reporting, and AI initiatives.
• Implement data quality checks, monitoring systems, reconciliation processes, and automated testing frameworks.
• Support the migration of legacy data systems to modern cloud-based data platforms.
• Troubleshoot production issues, conduct root-cause analysis, and improve the reliability of data platforms.
• Collaborate with data architects, analysts, governance teams, and business stakeholders.
• Contribute to Agile delivery practices and use Azure DevOps, CI/CD pipelines, Git, and engineering best practices.
• Ensure data solutions follow appropriate standards for security, quality, governance, and operational reliability.

Required Qualifications and Skills

Candidates should meet the following requirements:

• Bachelor’s degree in a relevant field.
• 3–7 years of experience in Data Engineering, Analytics Engineering, Software Engineering, or a related discipline.
• Strong hands-on knowledge of SQL, Python, PySpark, and Spark SQL.
• Experience with Databricks, Delta Lake, Databricks Workflows, and Databricks SQL.
• Knowledge of Azure Data Factory (ADF), dbt, and Change Data Capture (CDC) frameworks.
• Familiarity with streaming technologies such as Kafka or Confluent.
• Understanding of dimensional modelling, medallion architecture, data quality frameworks, and data governance principles.
• Familiarity with Git, CI/CD practices, and Agile methodologies.
• Strong analytical thinking, troubleshooting, communication, and collaboration skills.

Experience in banking or financial services is an advantage. Azure or Databricks certifications will also strengthen an applicant’s profile.

Additional Information About the Opportunity

1. Who Should Apply for This Position?

This position is best suited to experienced technology professionals who have already worked on data pipelines, cloud platforms, distributed data processing, and enterprise analytics solutions. Candidates with three to seven years of relevant experience should carefully compare their current technical skills with the requirements before applying. Professionals working as Data Engineers, Analytics Engineers, Software Engineers, or Big Data Engineers may find this opportunity relevant if they have hands-on experience with SQL, Python, PySpark, and Databricks. Applicants transitioning from traditional reporting or business intelligence roles should note that this is an engineering-focused position rather than an entry-level Data Analyst vacancy. Practical knowledge of production data pipelines, automated testing, cloud data infrastructure, and data modelling will be important when demonstrating suitability for the role.

2. Why Consider a Data Engineering Career in the UAE?

Data engineering is an important part of modern digital transformation because organizations depend on reliable data to improve reporting, automate operations, strengthen risk management, and support artificial intelligence initiatives. In the UAE, banking, financial services, retail, logistics, healthcare, and other industries use data platforms to support business decisions. A role at a bank such as RAKBANK can offer exposure to enterprise-scale data systems and the technical standards required in a regulated industry. Professionals interested in long-term development should consider building practical expertise in Python, SQL, cloud computing, data modelling, data orchestration, and data governance. Although career progression and compensation depend on experience and performance, developing these skills can help candidates pursue future opportunities across data engineering, cloud data architecture, and advanced analytics.

3. How to Prepare Your Application

Before applying, candidates should tailor their CV to the responsibilities and technical requirements listed in the job description. Highlight relevant projects involving Databricks, PySpark, SQL, Python, Delta Lake, Azure Data Factory, and automated data pipelines wherever these reflect genuine experience. Include measurable achievements, such as improvements in pipeline performance, reductions in processing time, enhanced data quality, or successful data migration projects, when supported by actual results. Applicants should also describe their experience with Git, CI/CD, data modelling, monitoring, and production troubleshooting. If you hold Azure or Databricks certifications, list the exact certification names and completion status. Review your CV for accuracy, ensure your contact details are current, and prepare to explain the architecture and business impact of your previous projects during technical interviews.

4. Important Details Before Applying

This is a full-time, on-site position based at RAKBANK’s Operation Centre in Dubai, UAE. The advertised experience requirement is three to seven years, and a bachelor’s degree is specified. The vacancy does not state a salary range, visa sponsorship arrangements, employee accommodation, relocation assistance, or other benefits. Candidates should therefore verify these details directly with the employer during the recruitment process rather than assuming they are included. The application deadline is listed as 31 October 2026 at 12:00 AM; applicants should consult the official vacancy page to confirm the applicable deadline and time zone. As recruitment timelines can change, submitting an application early is advisable. Meeting the stated requirements does not guarantee an interview, and candidates should ensure that all information provided in their application is accurate.

Salary and Benefits

Salary: Not disclosed in the job posting.
Benefits: Not specified in the available vacancy details.
Visa Sponsorship: Not confirmed.
Accommodation: Not specified.

Interested applicants should contact RAKBANK or review the official vacancy page for information about salary, benefits, visa arrangements, and other employment conditions.

How to Apply for the RAKBANK Data Engineer Job

Interested and qualified candidates can apply through the official RAKBANK careers website. Search for the position using the job title Data Engineer or Job Identification 701 and follow the instructions provided on the vacancy page.

Application Deadline: 31 October 2026

Official Careers Website: Click Here

Applicants should locate the exact vacancy on the official careers portal before submitting their applications. The link above is the bank’s website, not a verified direct application link for this specific vacancy.

Frequently Asked Questions (FAQs)

1. What is the job title?
The advertised position is Data Engineer at RAKBANK.

2. Where is the job located?
The position is based at RAKBANK’s Operation Centre in Dubai, United Arab Emirates.

3. How much experience is required?
The employer requests three to seven years of experience in Data Engineering, Analytics Engineering, Software Engineering, or a related field.

4. What is the required educational qualification?
A bachelor’s degree is specified in the vacancy.

5. Which technical skills are required?
Key technologies include SQL, Python, PySpark, Spark SQL, Databricks, Delta Lake, and Databricks Workflows. Familiarity with Azure Data Factory, dbt, CDC frameworks, Kafka, Git, and CI/CD is also relevant.

6. Is banking experience mandatory?
Banking or financial services experience is advantageous, but the vacancy does not list it as a mandatory requirement.

7. Is the salary mentioned?
No. Candidates should confirm compensation and benefits directly with the employer.

8. What is the application deadline?
The advertised deadline is 31 October 2026 at 12:00 AM. Check the official vacancy page for confirmation.

9. Is this a remote job?
No. The vacancy specifies an on-site, full-time position in Dubai.

10. Are Azure or Databricks certifications required?
They are listed as an added advantage rather than a mandatory qualification.

Final Note

RAKBANK’s Data Engineer vacancy is an opportunity for experienced professionals seeking to work with modern cloud data platforms and enterprise data engineering technologies in the UAE. Candidates who meet the experience requirements and have demonstrable expertise in SQL, Python, PySpark, Databricks, and data pipeline development should review the official job listing and submit their applications before the stated deadline.

Disclaimer: This job post is prepared for informational purposes based on the vacancy details provided. The employer may update the requirements, deadline, or other employment conditions. Always verify the latest information through the official recruitment channel before applying.