Data Engineer - PySpark / Python

We are supporting a major global banking organisation on the growth of its Data Technology function and are looking for an experienced Data Engineer to join a large-scale data transformation programme.

This is an excellent opportunity to work on enterprise-grade data platforms, building and enhancing data pipelines that support critical business and regulatory functions across a complex global environment., * Design, develop and maintain scalable data pipelines and ETL processes

• Develop robust solutions using Python, PySpark and SQL
• Work with large-scale datasets in distributed data environments
• Contribute to data modelling and data warehousing initiatives
• Support CI/CD and automation practices across the data engineering lifecycle
• Collaborate with business stakeholders, architects and engineering teams to deliver high-quality data solutions
• Ensure data quality, performance and reliability across data platforms

• Strong commercial experience in Data Engineering
• Excellent Python and PySpark development skills
• Advanced SQL knowledge
• Experience building and maintaining data pipelines and ETL solutions
• Good understanding of data warehousing and data modelling concepts
• Experience working within large-scale enterprise environments

Desirable Skills

• CI/CD experience
• Jenkins
• Ansible
• SAS
• Experience working with distributed systems and cloud-based data platforms
• Financial services or banking sector experience

The successful candidate will be a hands-on Data Engineer who enjoys solving complex data challenges and can quickly contribute within a fast-paced, delivery-focused environment.