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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

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