PHP/Vue.JS developer

User Support & Issue Resolution

• Serve as the first point of contact for users working on advanced analytics platforms.
• Handle basic questions, guide users through standard workflows, and ensure correct platform usage.
• Create and escalate support tickets when issues require specialist or engineering intervention.
• Provide functional support related to Spark, Python, R, notebooks, and compute environments.

Platform Operations

• Execute data transfers between analytics environments upon user request.
• Coordinate and escalate all access-related topics with the relevant IT and security teams.
• Manage permissions for shared datasets, notebooks, and analytical workspaces.
• Monitor resource consumption (compute, storage, workloads) and proactively report usage anomalies.
• Support overall capacity planning, helping to maintain stable and performant environments., * Produce documentation such as FAQs, troubleshooting guides, and step-by-step tutorials.
• Update and improve training materials for internal users.
• Organise and deliver training sessions, onboarding workshops, and refreshers for analytics tools.
• Contribute to the continuous improvement of user enablement processes.

• Hands-on experience with at least one major data/analytics platform (e.g. notebook environments, data lakehouse systems, or compute clusters).
• Familiarity with Spark concepts (clusters, jobs, execution errors).
• Understanding of Python and/or R in a data/analytics context (no development required).
• Knowledge of data transfer mechanisms and interoperability between analytics environments.
• Ability to navigate dashboards for resource monitoring, workload status, and capacity tracking.
• Experience using ticketing tools and structured escalation workflows., * Strong communication skills with the ability to guide and support non-expert users.
• Capability to triage technical issues and distinguish between functional and engineering topics.
• Experience producing documentation, training content, and user onboarding materials.
• High attention to compliance, permissions, and data governance.
• Flexibility to work across multiple platforms and adapt to varied analytical use cases.