Data Analyst

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