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Data Tools Engineer – Python & Cloud (Hybrid)

lloyds banking group

City of Edinburgh

Hybrid

GBP 70,000 - 107,000

Full time

3 days ago
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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.
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