Data Ops Engineer at One New Zealand

Christchurch, Canterbury, New Zealand -

Full Time

Start Date

Immediate

Expiry Date

05 Jan, 26

Salary

0.0

Posted On

07 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Snowflake, AWS, Data Ingestion, Change Data Capture, Orchestration, Data Governance, Terraform, HashiCorp Vault, SLIs, SLOs, Incident Response, Observability, CI/CD, Privacy, Cost Optimization, Data Pipelines

Industry

Telecommunications

Description

He aha ai tātou – Why us? At One NZ we’re not just imagining the future, we’re building it. Our purpose? A better-connected Aotearoa New Zealand. Kia renarena te taukaea i Aotearoa New Zealand. Our ambition? To become the most AI-enabled telco on the planet. This isn’t just about our technology, It’s about you. We’re investing in our people like never before.... empowering them to grow, lead, and shape what’s next. Through our AI School, access to world-class learning platforms, or career pathways that evolve with you, we create an environment where your curiosity thrives, and your skills accelerate. Join us and be part of something extraordinary: connect with purpose and help redefine what’s possible. Uia mai koe te pātai, he aha te mea nui o tēnei ao? Māku koe e ki atu he tangata, he tangata, he tangata. “If you asked me, what is the greatest thing in this world, I would say it is people, it is people, it is people.”Ko tō tūranga – your role As the Data Ops Engineer – Data & AI Platforms, you’ll ensure One NZ’s data products and pipelines are governed, observable, and cost-aware from source to consumption. You’ll lead the standardisation of DataOps practices, embed privacy and policy controls, optimise cost-to-serve, and collaborate across teams to deliver trusted, scalable data that powers analytics and AI with fewer incidents.Ko tō mahi – what you’ll do Define SLIs/SLOs for data freshness, completeness, timeliness, and pipeline success. Build dashboards, alerts, and traces, and ensure every material change includes readiness gate evidence. Set and automate acceptance criteria for production and support readiness across security, privacy, observability, and FinOps. Ensure changes are small, reversible, and well-documented. Align support structures, on-call coverage, escalation paths, and playbooks with Service Management and partners for both BAU and after-hours operations. Maintain current and usable runbooks. Enforce tagging to surface product-level costs, monitor budget variances and anomalies, and drive safe optimisations such as caching, batching, and model sizing. Collaborate with AIOps on feature and embedding stores, retrieval/RAG patterns, and schema design. Ensure SLAs, caching, and data structures support reliability, safety, and cost goals. Maintain up-to-date standards, diagrams, evaluation reports, and runbooks to ensure clean handovers and reduce single points of failure. Na tōu rourou - what you’ll bring Strong experience with Snowflake features including warehouses, tasks, streams, pipes, performance and cost tuning, micro-partitions, caching, zero-copy cloning, masking and row access policies, tagging, governance, Snowpark, and external tables. Proficiency with AWS services such as Bedrock and SageMaker (or equivalents), serverless runtimes, event-driven architecture, CI/CD pipelines, observability tools (CloudWatch/OpenTelemetry), and secure connectivity. Hands-on experience with data ingestion and change data capture (CDC) from on-prem, SaaS, and cloud sources. Skilled in resilient orchestration (idempotence, retries, backoff), schema evolution, data contracts, and managing small, reversible changes. Deep understanding of data ingestion, identity resolution, harmonisation, segmentation, activation, and governance — with a focus on how Data Cloud supports AI/RAG use cases and downstream observability. Experience with Terraform-first provisioning across AWS, Snowflake, and Salesforce integrations. Skilled in HashiCorp Vault for secrets management, PKI, dynamic credentials, policy-as-code, automated rotation, and audit trails. Proven ability to define and manage SLIs/SLOs, implement tracing, logging, and alerting, lead incident response and post-incident reviews, automate change and rollback processes, and apply resilience patterns. Comfortable working with Support, Service Management, and vendors for both BAU and after-hours coverage. Nā mātou te rourou – what you’ll get One New Zealand is leading the way by ensuring you can have a truly balanced life. Most roles allow flexibility to work from home and flex your hours to enjoy work & whānau commitments. A fully subsidised Southern Cross health insurance cover for you and your family. Laptop, unlimited data plan and a market leading mobile phone Lifestyle leave, giving you the option to purchase an extra week or two of annual leave. Discounts on One New Zealand products, services and much more! Joining our whānau is more than starting a new job - it’s the beginning of a journey that will challenge and inspire you to play a role in something bigger. Tū hikitia rā, tū hāpainga. Tū hāpainga, tū hikitia rā. We stand to uplift, to support and to elevate others. #LI-YA1

Responsibilities

As a Data Ops Engineer, you will ensure data products and pipelines are governed and observable. You will lead the standardization of DataOps practices and collaborate across teams to deliver trusted, scalable data.