We are seeking a highly skilled  Senior Data Engineer  with strong expertise in  PySpark and Python  to join our team for a leading banking client in Dubai.
The ideal candidate will be responsible for designing, building, and optimizing scalable data pipelines and data architectures to support advanced analytics and business intelligence initiatives.
Key Responsibilities: Design, develop, and maintain scalable  data pipelines using PySpark and Python Work with large-scale distributed systems (Hadoop/Spark ecosystem) Build and optimize  ETL/ELT workflows  for structured and unstructured data Collaborate with data scientists, analysts, and stakeholders to deliver data solutions Ensure data quality, integrity, and governance across platforms Implement performance tuning and optimization for Spark jobs Work with cloud-based data platforms (AWS / Azure / GCP) if applicable Develop and maintain data models, schemas, and metadata management Troubleshoot production issues and provide timely resolutions Required Skills & Qualifications: 7 years of experience in  Data Engineering Strong hands-on experience with  PySpark and Python Solid understanding of  Apache Spark, Hadoop ecosystem Experience in  SQL, data warehousing, and data modeling Familiarity with  ETL tools and big data processing frameworks Experience with  cloud platforms  (AWS / Azure / GCP) is a plus Knowledge of  data pipelines orchestration tools  (Airflow, etc.
) Strong problem-solving and analytical skills Preferred Qualifications: Experience in the  Banking / Financial Services domain Exposure to  real-time data processing (Kafka, Spark Streaming) Understanding of  data governance and security practices Soft Skills: Strong communication and stakeholder management skills Ability to work in a fast-paced, collaborative environment Proactive and solution-oriented mindset