Data Analyst

Apex Systems Inc
Croydon, United Kingdom
2 days ago

Role details

Contract type
Temporary contract
Employment type
Part-time (≤ 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
£ 133K

Job location

Croydon, United Kingdom

Tech stack

Agile Methodologies
Artificial Intelligence
Amazon Web Services (AWS)
Confluence
JIRA
Azure
Cloud Computing
Continuous Integration
Data Visualization
DevOps
Github
Python
Systems Development Life Cycle
Ansible
Software Engineering
Systems Integration
Tableau
Toolchain
Scripting (Bash/Python/Go/Ruby)
Google Cloud Platform
Microsoft Power Automate
DevOps Tools - Open-source
Gitlab
Containerization
Kubernetes
Atlassian Tools
Bitbucket
Machine Learning Operations
Terraform
Software Version Control
Docker
Jenkins

Job description

  • 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.

Requirements

  • 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.

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