Data Tools Engineer – Python & Cloud (Hybrid)

lloyds banking group; City of Edinburgh; Hybrid; GBP 70,000 - 107,000; Full time

Job summary

A leading banking institution in the United Kingdom is seeking a Data Tools Software Engineer to enhance its security operations with cloud-based data processing systems. Key responsibilities include developing system interfaces and APIs, and collaborating within a diverse engineering team. Ideal candidates should possess strong Python skills and an understanding of data-intensive applications. The position offers a hybrid work model and various benefits, including a robust pension plan and performance-related bonuses.

Benefits

Generous pension contribution up to 15%

Annual performance-related bonus

Share schemes including free shares

Discounted shopping benefits

30 days’ holiday

Wellbeing initiatives and parental leave policies

Qualifications

• Proficiency in Python application development; experience with other languages is a plus.
• Experience building and deploying software in cloud environments; GCP and CloudRun advantageous.
• Strong understanding of data‑intensive application design and development.

Responsibilities

• Designing and building system-to-system interfaces.
• Creating self‑service APIs impacting security operations.
• Developing data processing tools for the Chief Security Office.

Skills

Proficiency in Python application development

Experience building and deploying software in cloud environments

Strong understanding of data‑intensive application design

Familiarity with Agile methodologies

Collaborative mindset

Secure software design understanding

Experience with containerized applications

Knowledge of GitOps practices

Passion for learning new technologies

Strong communication skills

Job description

A leading banking institution in the United Kingdom is seeking a Data Tools Software Engineer to enhance its security operations with cloud-based data processing systems. Key responsibilities include developing system interfaces and APIs, and collaborating within a diverse engineering team. Ideal candidates should possess strong Python skills and an understanding of data-intensive applications. The position offers a hybrid work model and various benefits, including a robust pension plan and performance-related bonuses.