8 days ago
Sydney, AustraliaStaff+
Responsibilities
- Own and evolve the cross-domain operational data engineering strategy and capability roadmap.
- Define the operational data capability, information model, and maturity pathway supporting intelligence, automation, and AI.
- Lead the engineering and lifecycle management of operational data products across network, OSS, BSS, and cloud domains.
- Establish reusable patterns for real-time and batch ingestion, transformation, enrichment, and data delivery.
- Integrate operational data with enterprise and operational platforms, including streaming, data lake, and network data capabilities.
- Define and govern operational data models, APIs, integration patterns, quality, lineage, lifecycle, metadata, and engineering standards.
- Drive capabilities from engineering and validation into sustained production use with measurable quality, reliability, and cost outcomes.
- Influence senior stakeholders on priorities, investment, and standards while managing strategic technology and delivery partners.
- Build and lead an operational data engineering capability through coaching and structured knowledge transfer.
Requirements
- Extensive leadership experience across telecommunications, operational data engineering, data platforms, OSS, or large-scale technology environments.
- Experience leading enterprise-scale data engineering capabilities in complex, distributed, and real-time operational environments.
- Strong knowledge of data product engineering, streaming and batch pipelines, APIs, data models, data quality, lineage, and lifecycle management.
- Understanding of network and service operational data and its use in observability, analytics, AI, and automation.
- Ability to define capability strategy, engineering standards, and roadmaps and translate them into measurable operational outcomes.
- Experience leading cross-domain teams and influencing senior stakeholders across Operations, Engineering, Architecture, Data, and Technology.
- Strong commercial, financial, and vendor management skills, including investment prioritisation and value realisation.
- Strategic thinking, communication, and executive stakeholder engagement skills.
- Relevant tertiary qualifications in Engineering, Telecommunications, Computer Science, Data Engineering, Technology, or equivalent significant industry experience.
Benefits
- Competitive remuneration, employee discounts, an $80 monthly credit, and 25% off Optus products plus retail-partner discounts.
- Flexible working arrangements with three days in the office and two days remote or from home.
- Office campus amenities including cafes, convenience store, chill-out zones, GP, post office, gym, and on-site childcare.
- Competitive leave policies with additional Connected days.
- Up to 16 weeks of inclusive, carer-neutral paid parental leave.
- Employee-led networks and diversity initiatives.
- Free 24/7 counselling and wellbeing support.
- Free Optus bus service from Macquarie University Metro Station every 6–8 minutes in the morning and afternoon.
Categories
Data Engineering
About Singtel
Singtel is a Singapore‑headquartered public telecommunications group founded in 1879 that sells mobile, broadband, and enterprise network services to consumers and businesses across Asia-Pacific. It owns Optus in Australia and operates NCS (regional IT services) and Nxera (data centers), and is expanding into AI infrastructure via its RE:AI GPU‑as‑a‑Service. Its revenue comes from connectivity subscriptions and managed services across networks, cloud, cybersecurity, and digital platforms, with equity stakes in regional operators broadening its reach.