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As the Lead Splunk Data Engineer, you are the MVP of our data operations. You will be responsible for designing, scaling, and managing our Splunk ecosystem t...
Lead Splunk Data Engineer | Qbitech Responsibilities check_circle Infrastructure Leadership Architect and maintain a high-performance Splunk environment (Cloud & On-prem) capable of handling massive data spikes during live matches check_circle Data Onboarding Lead the integration of diverse data sources, including stadium IoT sensors, ticketing systems, and player wearable technology check_circle Operational Excellence Build "Executive Glass Tables" and real-time dashboards for the Matchday Operations Center check_circle Team Mentorship Act as the technical authority for Splunk, mentoring junior engineers and defining SPL (Search Processing Language) best practices check_circle Security & Compliance Ensure all data handling meets GDPR and sports industry regulations volunteer_activism Benefits check_circle Competitive salary and performance bonuses check_circle Direct involvement in the club's digital transformation check_circle Experience the buzz of matchdays from behind the scenes shield Requirements Experience: 5+ years in Splunk Engineering, with at least 1–2 years in a Lead or Senior capacity Proven ability to monitor Splunk’s own performance using the Monitoring Console to troubleshoot "Skipped Searches," latency, or I/O bottlenecks Problem Solver: Ability to troubleshoot complex data pipelines in high-pressure, live-event environments Communication: You can explain technical data trends to non-technical stakeholders (Coaches, Scouts, and Directors) Passion: A genuine interest in how technology is transforming the modern game of football star_half Nice to have Sports Analytics Experience: Previous experience working with sports data providers or athlete tracking systems Machine Learning: Experience using the Splunk Machine Learning Toolkit (MLTK) to predict fan attendance or player fatigue levels Stream Processing: Knowledge of Splunk Data Stream Processor (DSP) or Cribl for managing high-volume matchday data before it hits the indexers What will be your next steps? 01 chat_bubble Quick non-technical conversation Our initial conversation is a brief, non-technical discussion to understand your background and career aspirations. We're keen to learn about your communication style and how you approach teamwork and decision-making. 02 code 60 to 90 minutes technical interview This in-depth technical assessment, lasting 60 to 90 minutes, is designed to evaluate your specific skills and expertise. We will present you with challenges relevant to our client’s requirements. 03 groups Client interview In this stage, you will meet directly with the client for a final technical discussion. This interview will be similar in format to our internal technical assessment, allowing the client to see firsthand how your expertise aligns with their specific project needs and team. 04 workspace_premium Offer Congratulations on successfully completing our evaluation process. We are pleased to extend an offer and recommend you to our clients. Fill in your details below. We'll get back to you shortly. 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