Senior Data Engineer (Spark & Python Specialist)

Our client is seeking an experienced Senior Data Engineer to play a critical role in advancing a modern cloud-based data platform. This opportunity is ideal for a highly skilled engineer with deep Spark and Python expertise who enjoys solving complex data challenges modernising legacy systems and contributing to scalable high-performance data solutions within a collaborative engineering environment.

Requirements:

• Bachelors degree in Computer Science Information Systems Engineering or a related field
• 6 years of experience working with Spark and PySpark in production environments
• Strong Python development experience including reusable library development and testing
• Solid T-SQL skills and experience translating complex business logic into scalable solutions
• Experience with Azure Synapse Analytics Dedicated SQL Pools and Azure Data Factory
• Hands-on experience with Delta Lake and Parquet within high-volume environments
• Strong understanding of Spark internals performance tuning partitioning and optimization
• Experience with Docker and cloud-agnostic development practices
• Strong communication collaboration and leadership abilities

Should you meet the requirements for this position please email your updated CV attached to alternatively contact or visit our website . Correspondence will only be conducted with short listed candidates. Should you not hear from us within 3 days please consider your application unsuccessful.