Network Engineering Specialist in London

Network Engineering Specialist - Regional Planning & Optimisation Location: UK-based (London, Bristol, Birmingham, Manchester, Ipswich, or Glasgow) Contract: 6 Months (Inside IR35) Clearance: BPSS Required Working Hours: 37.5 hours/week (Shift pattern covering 08:00-20:00 Mon-Fri, and 08:30-17:00 Weekends/Bank Holidays) About the Role We are seeking a Performance Specialist to join our Regional Planning & Optimisation team. You will be responsible for maintaining radio network KPI metrics, investigating and resolving customer issues, and driving continuous improvements to ensure top-tier network performance and an excellent subscriber experience. Key Responsibilities Performance Monitoring: Monitor network KPI metrics at both regional (top-down) and cell levels (bottom-up) to investigate abnormal changes and determine root causes. Issue Resolution: Investigate reported customer network issues and implement action plans, including performing RF tuning, managing remedy incidents, and requesting network investments. AI Training: Provide feedback to data-driven AI operations algorithms to improve anomaly detection and root cause analysis recommendations. Collaboration: Work closely with operations and managed service providers to ensure performance-impacting faults are progressed and resolved effectively. Data Analytics: Utilize advanced data analytics to build evidence packs, drive business decisions, and improve departmental ways of working. Team Support: Share knowledge openly and support the development of less experienced team members. Required Skills & Experience RAN Expertise: Advanced knowledge of Mobile Network RAN optimization, planning, and performance. Vendor Knowledge: Hands-on experience with Huawei, Ericsson, or Nokia performance counters, parameters, and RAN vendor alarm diagnostics. Operational Experience: Proven track record of working within a live operational telecom environment. Data & Decision Making: Strong analytical skills with the ability to interpret complex, incomplete datasets to make confident, actionable decisions. Communication: Clear written and verbal communication skills to justify actions and secure stakeholder buy-in. Preferred Experience Drive survey analysis. Coverage predictions and analysis using the Atoll planning system. Experience using Crowd datasets to measure actual coverage levels and serving cells. If interested please reply with your CV to (url removed) or call me at (phone number removed). Randstad Technologies is acting as an Employment Business in relation to this vacancy