Senior Data Engineer (PySpark)
About this role
Job Title: Data Engineer (PySpark)
We are seeking a highly skilled Senior Data Engineer with strong expertise in PySpark and data modelling to join our Digital Platforms delivery team. The ideal candidate will design, build, and optimize scalable data pipelines and contribute to enterprise-grade data architecture supporting analytics, reporting, and digital banking initiatives.
Key Responsibilities
- Design, develop, and maintain scalable data pipelines using PySpark and distributed data processing frameworks
- Build and optimize ETL/ELT workflows for large-scale structured and unstructured datasets
- Implement robust data models (dimensional, relational, and data vault) aligned with business requirements
- Work closely with stakeholders, data analysts, and business teams to translate requirements into technical solutions
- Ensure data quality, governance, and consistency across multiple data sources
- Optimize performance of Spark jobs and handle large datasets efficiently
- Collaborate with DevOps teams for deployment, CI/CD, and monitoring of data pipelines
- Troubleshoot data issues and ensure high availability and reliability of data systems
- Contribute to data platform architecture and best practices within the Data Engineering chapter
Required Skills & Experience
- 5–8+ years of experience in data engineering or related roles
- Strong hands-on experience with PySpark / Apache Spark
- Expertise in data modelling (Star Schema, Snowflake, Data Vault)
- Experience with big data ecosystems (Hadoop, Hive, Spark, Kafka – preferred)
- Proficiency in Python and SQL
- Experience with cloud platforms (AWS / Azure / GCP – any one preferred)
- Strong understanding of ETL frameworks and data warehousing concepts
- Experience working in agile environments
Good to Have
- Experience in banking or financial services domain
- Knowledge of real-time data processing / streaming (Kafka, Spark Streaming)
- Exposure to data governance and security practices
- Familiarity with tools like Airflow, Databricks, or similar platforms
Frequently Asked Questions
Is the salary disclosed for the Senior Data Engineer (PySpark) position at cu9XaZB8i9r9X8CdwN62f7?
The salary for this Senior Data Engineer (PySpark) role at cu9XaZB8i9r9X8CdwN62f7 is not publicly listed. Click "Apply Now" to learn more about the compensation package on their official careers page.
Where is the Senior Data Engineer (PySpark) position at cu9XaZB8i9r9X8CdwN62f7 located?
This Senior Data Engineer (PySpark) role at cu9XaZB8i9r9X8CdwN62f7 is based in Dubai, Dubai, United Arab Emirates. The position is listed as on-site or hybrid. Check the full job description or apply directly to confirm the work arrangement.
How do I apply for the Senior Data Engineer (PySpark) position at cu9XaZB8i9r9X8CdwN62f7?
Click the "Apply Now" button on this page. You will be redirected to cu9XaZB8i9r9X8CdwN62f7's official application portal hosted on workable where you can submit your application directly.
When was the Senior Data Engineer (PySpark) job at cu9XaZB8i9r9X8CdwN62f7 posted?
This Senior Data Engineer (PySpark) position at cu9XaZB8i9r9X8CdwN62f7 was posted on Jan 27, 2026. Apply as soon as possible — early applications are often reviewed first.
Senior Data Engineer (PySpark)
cu9XaZB8i9r9X8CdwN62f7
You'll be redirected to cu9XaZB8i9r9X8CdwN62f7's official application page on workable.