Senior Data Analyst jobs in United Arab Emirates
Chief Data Scientist, AI-Driven Finance Platform
ClearGrid
PROJECT ENGINEER- FIRE ALARM AND FIRE FIGHTING INDUSTRY
Elliot Scott Group
Laboratory Assistant(UAE Nationals Only)
Zayed University
Lead Credit Risk Data Scientist – Dubai
RAKBANK
Discover more opportunities than anywhere else. Find more jobs nowAzure Data Engineer (Databricks) – Healthcare, Abu Dhabi
Halian
Connect with headhunters to apply for similar jobsData Analyst UAE National (Emirati) Grove Mall, Al Barsha, Dubai
GluCare
Sports Scientist and Data Analyst
Three Dimension Physical Performance
Wealth Management Data Analyst – Client Growth & Insights
11132 Citibank, N.A. United Arab Emirates
UAE Nationals: MENA Stores Data & Analytics Analyst
Amazon
Data Management Analyst — Power BI & Data Quality
VAM Systems
Junior Data & Inside Sales Analyst
Bayut | dubizzle
Data Researcher / Research Analyst – Automotive R&D (Junior Level)
Black Pearl
Automotive Data Researcher & Insights Analyst
Black Pearl Consult
Data Researcher / Research Analyst – Automotive R&D (Junior Level)
Black Pearl Consult
Remote Data Insights Analyst — Flexible Hours
Elite Recruits
Strategic Data & Business Support Analyst
Al Tayer Insignia
Data Analyst (UAE National Only)
Mohebi Martin Brower Logistics
Strategic Initiatives Data Analyst: Actionable Insights
Amazon
Data Engineer
Job summary
A leading fintech company in Dubai seeks a highly skilled Data Engineer. This role involves designing and maintaining scalable data pipelines in AWS, managing data storage solutions, and collaborating with various stakeholders. Ideal candidates have at least 4 years of experience and a strong foundation in data engineering best practices. Proficiency in SQL and AWS services is essential, along with the ability to ensure data quality and security. Join this innovative team and make an impact across industries.
Qualifications
- 4+ years of experience in Data Engineering or related fields.
- Experience with data storage solutions like S3 and Redshift.
- Familiarity with AWS tools such as Glue, EMR, and Lambda.
Responsibilities
- Design, build, and maintain ETL/ELT pipelines in AWS.
- Manage and monitor data storage solutions.
- Implement data transformation workflows using AWS services.
Skills
Education
Tools
We are seeking a highly skilled Data Engineer with strong expertise in AWS cloud services to design, build, and maintain scalable data pipelines and architectures. The ideal candidate will have deep knowledge of data engineering best practices, cloud-native solutions, and the ability to optimize data flows that power analytics and business insights.
- Design, build, and maintain ETL/ELT pipelines to ingest data from various sources into AWS and GCP data platforms.
- Manage and monitor data storage solutions (Amazon S3, Redshift, etc).
- Implement data transformation workflows using services like AWS Glue, Lambda, EMR, or Step Functions.
- Ensure data quality, security, and governance across all pipelines.
- Work with streaming data solutions (Kinesis, Kafka, or MSK) when needed.
- Collaborate with Data Analysts, DevOps, Engineering, and Business stakeholders to understand data requirements.
- Monitor pipeline performance and troubleshoot issues to maintain high data availability and reliability.
- Bachelor’s degree in Computer Science, Data Engineering, or a related field.
- 4+ years of experience in Data Engineering or related fields.
- Data Storage: S3, Redshift.
- Data Processing: Glue, EMR, Lambda, Step Functions.
- Streaming: Kinesis, Kafka/MSK.
- Proficiency in SQL and Python/Pyspark.
- Experience with data modeling, schema design, and query optimization.
- Knowledge of data security, encryption, IAM, and compliance standards.
- Familiarity with CI/CD pipelines and Infrastructure as Code.
The UAE's number one expense management fintech, now serving 2000+ businesses across 22 countries.
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.