{"id":3165467,"url":"https://alion.io/job/singtel-engineer-data-and-customer-intelligence","title":"Engineer, Data and Customer Intelligence","company":{"id":49912,"name":"Singtel","domain":"singtel.com","url":"https://alion.io/company/singtel","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SuccessFactors","truth_index":{"grade":"A","score":100,"open_postings":4,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":19,"computed_at":"2026-10-23T05:54:15Z"}},"role":"Backend","role_family":"Backend","seniority":null,"employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Singapore"],"countries":["SG"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Anomaly Detection","optional":false},{"name":"AWS","optional":false},{"name":"Machine Learning","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false}],"status":"live","first_seen_at":"2026-10-19T00:00:00Z","employer_posted_date":"2026-10-19","last_verified_at":"2026-10-23T22:09:35Z","board_verified":true,"closed_at":null,"days_open":5,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":5},"description":"We're building an AI-first telco for the future-connecting people, businesses and communities through trusted networks, intelligent digital services and next-generation technology.\nFrom transforming everyday experiences in mobile, broadband, entertainment and lifestyle services to enabling enterprises with AI, 5G+, cloud, cybersecurity, data centres and digital platforms, we create the technology that powers how millions live, work and connect.\nAt Singtel, your work creates real impact. You'll solve meaningful challenges, shape critical digital infrastructure and help build secure, resilient and AI-enabled solutions that serve businesses, digital ecosystems and communities across the globe.\nThis is where BIG Possibilities become reality. Whether you're engineering intelligent networks, advancing sovereign AI cloud platforms, strengthening cybersecurity, designing seamless customer experiences or driving sustainable innovation, you'll be part of teams shaping the future of technology.\nBacked by decades of expertise and driven by a culture of continuous learning and innovation, Singtel offers the scale, opportunities and support to help you grow your career while making a difference where it matters most.\nHow You will Make An Impact:\nDesign, build and maintain reliable data pipelines that integrate customer behaviour, application performance, video QoE/QoS and operational telemetry from multiple digital TV and OTT data sources.\nDevelop dashboards, analytical models and customer intelligence views that provide actionable insights into service quality, customer journeys, feature adoption and usage behaviour.\nApply statistical analysis, AI and machine learning techniques to identify patterns, anomalies and emerging customer-impacting issues, enabling more proactive and predictive service management.\nCorrelate technical service performance with customer experience and behaviour to identify affected customer segments, support root-cause analysis and prioritise service improvements based on customer impact.\nPartner with Product, Engineering and Operations teams to translate data insights into measurable improvements in customer experience, platform reliability, product features and service operations.\nDefine and continuously improve customer experience, video quality and application performance metrics, ensuring data quality, consistency and trusted reporting across stakeholders.\nAutomate data preparation, analysis and reporting workflows to improve speed, scalability and efficiency, while evaluating opportunities to apply AI to operational and customer intelligence use cases.\nSupport investigation of service incidents and production issues through data analysis, trend correlation and impact assessment, and contribute to post-incident and continuous improvement activities.\nEnsure appropriate data governance, security and privacy practices are applied when handling customer and operational data.\nMaintain up-to-date knowledge of data engineering, analytics, AI/ML, observability and digital customer experience technologies and recommend relevant improvements for the TV and OTT environment.\nSkills for Success:\nDegree in Data Science, Computer Science, Information Technology, Engineering, Statistics or a related discipline.\nRelevant experience in data engineering, data analytics, business intelligence, customer analytics or a related technology role.\nStrong hands-on experience with SQL and at least one programming language commonly used for data analysis or engineering, such as Python.\nExperience building data pipelines, integrating multiple data sources and working with structured and semi-structured data.\nExperience with business intelligence and data visualisation tools such as Power BI, Tableau or equivalent.\nKnowledge of statistical analysis, machine learning and practical application of AI to analytics, anomaly detection, prediction or operational intelligence.\nExperience with cloud-based data and analytics services, preferably in AWS or a comparable public cloud environment.\nExperience with application analytics, observability, digital experience monitoring or video/OTT QoE analytics will be an advantage.\nAbility to translate complex datasets and technical findings into clear business and customer insights for technical and non-technical stakeholders.\nExcellent analytical, problem-solving, communication and collaboration skills, with a strong customer-centric mindset.\nAre you ready to say hello to BIG Possibilities?\nJoin Singtel to shape what's next and accelerate your career through meaningful work, continuous learning, and real 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