Network Engineering Specialist in EC1

Energy Jobline ZR

Łódź

On-site

PLN 226,000 - 352,000

Full time

8 days ago
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Job summary

Energy Jobline ZR is seeking a Performance Specialist to support the Regional Planning & Optimisation team. You will maintain radio network KPI metrics, investigate customer issues, and drive continuous improvements for top-tier network performance and subscriber experience.

You will monitor, analyze, and action network data, collaborate with operators and service providers, and contribute to AI enhancements for anomaly detection and root cause analysis.

Qualifications

  • Advanced knowledge of Mobile Network RAN optimization, planning, and performance.
  • Hands-on experience with Huawei, Ericsson, or Nokia performance counters, parameters, and RAN vendor alarm diagnostics.
  • Live operational telecom environment experience.
  • Strong analytical skills for interpreting complex, incomplete datasets to make actionable decisions.
  • Clear written and verbal communication to justify actions and secure stakeholder buy-in.
  • Experience driving survey analysis.

Responsibilities

  • Monitor network KPI metrics regionally and at cell level to identify root causes of anomalies.
  • Investigate customer network issues and implement remedy actions including RF tuning and fault escalation.
  • Provide feedback to AI-driven anomaly detection and root cause analysis tools.
  • Collaborate with operations and MSPs to ensure timely resolution of faults impacting performance.
  • Use data analytics to build evidence packs and inform business decisions.
  • Share knowledge and mentor less experienced team members.

Skills

RAN optimization
Data analytics
Communication
Survey analysis
Decision making
Crowd datasets

Tools

Huawei counters
Ericsson counters
Nokia counters
Atoll planning

Job description

Job DescriptionNetwork 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.
  • 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.
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