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PricewaterhouseCoopers (PwC)

Global professional services: assurance, tax, consulting

Data Engineer – Senior Analyst/Manager

Data EngineeringUpdated on Nov 10
Full-timeAuckland, New ZealandIn-person

About the Job

Requirements

  • At least 6 years of experience in Data Engineering, Data & Analytics, Technology Consulting, or a related field, including leading delivery of data-driven client solutions.
  • Strong consulting, commercial, and stakeholder-management skills, including building trusted relationships, influencing senior stakeholders, and translating business needs into practical technology and data outcomes.
  • Demonstrated experience leading delivery teams by delegating work, setting expectations, providing feedback, coaching others, and taking accountability for collective outcomes.
  • Strong analytical and problem-solving skills, including guiding teams through unfamiliar datasets, testing hypotheses, and communicating insights through analysis and visualisation.
  • Experience leading or significantly contributing to enterprise transformation, cloud modernisation, or data platform initiatives in complex environments.
  • Strong hands-on understanding of modern data solutions using Azure, Microsoft Fabric, Databricks, Snowflake, or similar platforms, with the ability to provide technical direction and challenge design decisions.
  • Strong technical foundations in data engineering, analytics, and modern data architectures, including ETL/ELT, data modelling, APIs and integration, cloud-native approaches, and lakehouse approaches.
  • Strong understanding of data governance, data management, and data quality practices.
  • Experience overseeing modern development and deployment practices, including automation, CI/CD, and Infrastructure as Code.
  • Ability to build effective teams, develop others, and foster a positive, accountable environment across clients, industries, technologies, and transformation programmes.

Responsibilities

  • Lead client engagements and workstreams, clarify requirements, shape delivery approaches, and translate needs into scalable data solutions.
  • Own modern data platform and pipeline design and delivery across Azure Data Factory, Microsoft Fabric, Databricks, and Snowflake.
  • Provide technical direction and quality oversight across ETL/ELT, SQL, Python, and Spark solutions to support trusted data, automation, performance, and scalability.
  • Champion AI-enabled tools to accelerate analysis, coding, testing, troubleshooting, and documentation while maintaining appropriate judgement, quality, and security controls.
  • Oversee complex data analysis and communicate insights, issues, and opportunities to senior stakeholders through clear visualisation and narrative.
  • Lead data architecture, solution design, technical specifications, estimates, delivery planning, and key design decisions.
  • Advise clients on enterprise data governance, metadata management, and data quality, embedding fit-for-purpose practices into delivery.
  • Facilitate workshops and influence senior business and technical stakeholders, translating technical concepts and analysis into practical business outcomes.
  • Ensure CI/CD and Infrastructure as Code support secure, repeatable, and scalable deployments.
  • Manage delivery risks, dependencies, platform, integration, and data quality issues across complex client environments.
  • Lead and develop delivery teams through clear expectations, delegation, coaching, feedback, and support for individual growth and performance.
  • Collaborate across data, analytics, risk, and technology, and contribute to proposals, practice development, and high-impact transformation outcomes.

Desired Qualifications

  • Exposure to data governance and metadata management tools.

About the Company

PricewaterhouseCoopers (PwC)

Global professional services: assurance, tax, consulting

PwC provides assurance (audit), tax, legal services, consulting and deals advisory to organisations worldwide. It uses multidisciplinary teams across accounting, advisory, technology and industry, delivered through a global network of locally established firms that collaborate with technology partners to offer AI, cloud, managed services and digital trust. PwC differentiates itself with an integrated, global-local service model and technology-enabled offerings that address complex client needs across risk, transformation, reporting and sustainability. Its goal is to help clients improve governance, efficiency and value by supporting reporting accuracy, business transformation, risk management and sustainable practices.

Company size
10,001+
Company stage
Early VC
Total funding
$3.3M
Headquarters
London, United Kingdom
Founded
1989

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