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Watercare

Provides Auckland water and wastewater services

Data and Analytics Technical Lead

Data EngineeringConfirmed live in the last 24 hours
Full-timeAuckland, New ZealandNo salary listedIn-person

About the Job

Requirements

  • Substantial experience designing and delivering enterprise data and analytics solutions in cloud environments.
  • Advanced knowledge of data engineering, analytics engineering, dimensional modelling, data warehousing and modern data platform patterns.
  • Experience with Snowflake, dbt, Power BI, Azure or comparable technologies.
  • Experience with transformation frameworks, orchestration, continuous integration and continuous delivery, source control, testing and operational support.
  • Demonstrated experience providing technical leadership, design assurance, coaching and escalation across multidisciplinary teams.
  • A tertiary qualification in analytics, computer science, engineering or a related discipline, or equivalent relevant experience.
  • Experience supporting data science or machine-learning workloads is valuable.
  • Experience in utilities, infrastructure or another regulated environment is valuable.
  • Relevant cloud, data engineering, architecture or analytics certifications are advantageous.

Responsibilities

  • Set and embed technical standards across data ingestion, transformation, modelling, analytics products and business intelligence.
  • Ensure solutions are secure, governed, scalable, supportable and aligned with wider enterprise architecture.
  • Own and maintain technical standards, reference patterns and guardrails across data and analytics.
  • Lead the design and assurance of complex data and analytics solutions.
  • Translate business requirements into scalable technical designs and practical implementation guidance.
  • Review designs, code and release approaches, identifying risks, dependencies and technical debt.
  • Act as the escalation point for complex platform, pipeline, modelling and reporting issues.
  • Contribute directly to prototypes, implementations and remediation of critical issues.
  • Support delivery of reliable data pipelines, analytical models, semantic layers, dashboards and reusable data products.
  • Coach data engineers, analytics engineers, analysts and data scientists.
  • Explain technical options, risks and trade-offs clearly to technical and non-technical stakeholders.

Desired Qualifications

  • Experience supporting data science or machine-learning workloads.
  • Experience in utilities, infrastructure or another regulated environment.
  • Relevant cloud, data engineering, architecture or analytics certifications.

About the Company

Watercare

Provides Auckland water and wastewater services

Watercare is Auckland’s water and wastewater utility that runs the region’s pipes, treatment plants, and pump stations to deliver drinking water and safely dispose of wastewater. It collects water from sources, treats and distributes it to homes and businesses, and then collects and treats wastewater before returning it to the environment; all revenue comes from customer payments since it is self-funded, with funds reinvested to maintain and grow the network. The company sets clear service standards, manages contracts, and promotes leak detection and water-saving tips, while also enforcing health and safety rules for contractors and partnering with Mana whenua. Its goal is to provide reliable, safe drinking water, protect public health, safeguard the environment, and adapt infrastructure to a growing city and a changing climate.

Company size
1,001-5,000
Company stage
Debt Financing
Total funding
$4.2B
Headquarters
Auckland, New Zealand
Founded
Not listed

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