Data Analyst Course Programme

Job Description: To support the tax professionals in ensuring all UK & Irish entities maintain highquality tax compliance and reporting. The role is responsible for the data, analysis, and controls that enable accurate, timely, and compliant tax reporting and tax return...

Role Name : Data Analyst (Python)Type : Contract - Inside IR35Location : Bromley (BR1 1LR), UKHybrid/Remote : Hybrid - 3 days per week onsiteStart Date : ASAPDuration : 1 to 2 YearDomain : Finance or BankingJob 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 ResponsibilitiesAutomation & 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 Similar jobs