# Data Engineer - Senior Analyst/Manager at PwC

PwC is hiring a Data Engineer - Senior Analyst/Manager in Wellington, New Zealand. Level rates it Uses AI ●●○○; you can [apply on PwC](https://jobsbylevel.com/go/21fb0a76-3857-45be-959d-7ddb1bdd4f0c?utm_medium=ai-agent).

AI Level 2, AI centrality 45 out of 100. Wellington - NZL.

## Details

- Company: [PwC](https://jobsbylevel.com/companies/pwc)
- AI level: AI Level 2 (score 45 out of 100)
- Location: Wellington - NZL
- Posted: September 1, 2026
- Apply: https://jobsbylevel.com/go/21fb0a76-3857-45be-959d-7ddb1bdd4f0c?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=data-engineer-senior-analyst-manager-at-pwc-200c49

## Prepare for this job

The job page lists 5 likely interview questions for this offer, with a CV checklist: https://jobsbylevel.com/jobs/data-engineer-senior-analyst-manager-at-pwc-200c49

## Description

Management Level Senior Associate Job Description & Summary Kia ora, At PwC, our purpose is clear: to build trust in society and solve important problems. This is a place to keep growing. You’ll learn from the best, take on meaningful challenges, and make a lasting impact for our clients, our communities, and Aotearoa. Ngā Kōrero mo tēnei tūranga / About the role We're looking for a Senior Analyst to join our growing Data team in Pōneke / Wellington or Tāmaki Makaurau / Auckland. This is an exciting opportunity for a data engineering professional who enjoys combining technical expertise, data analysis, problem-solving and stakeholder engagement to deliver modern cloud-based data solutions. Working across enterprise transformation programmes, you'll help clients understand and solve complex data problems, design, build and optimise scalable data platforms that create trusted, analytics-ready data and deliver real business value. You'll work with a broad range of clients and technologies, partnering with business and technical stakeholders to solve complex challenges, modernise data capabilities and enable data-driven decision making. The role offers exposure across the full project lifecycle, from discovery and solution design through to development, deployment, analysis, and ongoing optimisation. What you'll be doing: Partnering with clients and project teams to understand business requirements and translate them into scalable data solutions. Designing, building and deploying modern data platforms and pipelines using technologies such as Azure Data Factory, Microsoft Fabric, Databricks and Snowflake. Developing robust ETL/ELT processes that transform and curate data from multiple source systems into trusted datasets. Building and optimising SQL, Python and Spark solutions to support data analysis, automation, performance and scalability. Using AI-enabled development tools and ways of working to accelerate analysis, coding, testing, troubleshooting and documentation, while applying appropriate judgement, quality and security controls. Analysing complex datasets to identify patterns, issues and opportunities, and using visualisation and clear narrative to help stakeholders understand what the data is telling them. Contributing to data architecture, solution design, technical specifications and delivery planning. Supporting enterprise data governance, metadata management and data quality initiatives. Facilitating workshops and engaging directly with business stakeholders, translating data, analysis and technical concepts into practical business outcomes. Implementing CI/CD practices and Infrastructure as Code to support repeatable and scalable deployments. Troubleshooting platform, integration and data quality issues across client environments. Collaborating with multidisciplinary teams across data, analytics, risk and technology to deliver high-impact transformation outcomes. Ngā pūkenga ka kawea mai e koe, ka whakawhanakehia rānei i tēnei tūranga / Skills you will bring or develop in this role We're looking for someone who combines strong technical capability with analytical thinking, a consulting mindset and enjoys working directly with clients to solve complex business challenges through data. You'll bring: 3+ years' experience in Data Engineering, Data & Analytics, Technology Consulting, or a related field, with a track record of delivering data-driven solutions for clients. Strong consulting and stakeholder management skills, with the ability to build trusted relationships and translate business needs into practical technology and data outcomes. Strong analytical and problem-solving skills, with the ability to explore unfamiliar datasets, identify patterns or issues, test hypotheses and communicate what the data is telling you through clear analysis and visualisation. Experience contributing to enterprise transformation, cloud modernisation, or data platform initiatives in complex environments. Hands-on experience

The description is cut here. Read the full offer: https://jobsbylevel.com/jobs/data-engineer-senior-analyst-manager-at-pwc-200c49

Source: https://jobsbylevel.com/jobs/data-engineer-senior-analyst-manager-at-pwc-200c49

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