Data Analyst

Job Description

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.