Role Name : Data Analyst (Python)
Type : Contract - Inside IR35
Location : Bromley (BR1 1LR), UK
Hybrid/Remote : Hybrid - 3 days per week onsite
Start Date : ASAP
Duration : 1 to 2 Year
Domain : Finance or Banking

Job Description:

Role Overview

• The Technology Infrastructure Delivery & Engineering team is seeking a highly skilled engineer experienced in SDLC environment management, architecture configuration, automation, and modern DevOps tooling.
• The ideal candidate will have a strong background in Python scripting, infrastructure delivery, Agile methodologies, and emerging AI technologies such as Microsoft Copilot.
• Proficiency with the Atlassian stack (Jira, Confluence, Bitbucket) and data visualization tools such as Tableau is highly preferred.

This role will design, build, and support enterprise-grade engineering platforms that enable scalable software delivery, automation, and operational excellence.

Key Responsibilities

Automation & Scripting
• Create automation solutions to streamline deployments, environment readiness, monitoring, and quality gate processes.
• Build reusable Python-based tooling to enhance engineering workflows.
• Implement CI/CD optimizations using Dev/Ops frameworks and pipelines.

DevOps Tooling & Software Engineering Enablement
• Administer and optimize DevOps platforms including source control, artifacts, pipelines, and automation frameworks.
• Integrate and extend the Atlassian Stack (Jira, Confluence, Bitbucket) to support Agile delivery.
• Partner with software development teams to improve SDLC efficiency and reduce developer friction.

AI & Emerging Technology Integration
• Leverage Artificial Intelligence tools—including Microsoft Copilot—to enhance automation, documentation, analytics, and developer productivity.
• Identify opportunities to embed AI-assisted engineering practices into daily workflows.

Infrastructure Delivery & Engineering
• Design, implement, and support technology infrastructure platforms for engineering teams.
• Build and manage SDLC environments across development, testing, release, and production.
• Ensure platform reliability, performance, scalability, and compliance with technology standards.

Required Qualifications

• 5+ years in technology engineering, infrastructure delivery, DevOps, or software development roles.
Hands-on experience with:
• SDLC environment management
• Python scripting and automation
• CI/CD pipelines and DevOps toolchains
• Atlassian tools (Jira workflows, Confluence spaces, automation rules)
• Strong understanding of architecture fundamentals, environment configuration, and platform engineering practices.
• Experience working in Agile delivery environments.

Preferred Qualifications

• Proficiency with data visualization tools such as Tableau.
• Experience with Terraform, Ansible, Jenkins, GitHub/GitLab, or equivalent DevOps platforms.
• Familiarity with cloud platforms (Azure, AWS, GCP).
• Exposure to AI/ML tools or workflow integrations (Microsoft Copilot, OpenAI, etc.).
• Knowledge of containerization (Docker, Kubernetes).

Soft Skills

• Strong analytical and problem solving mindset.
• Excellent communication and cross team collaboration abilities.
• Ability to drive modernization, automation, and process uplift initiatives.
• Continuous improvement mindset with a passion for engineering excellence.

Thanks