Data Engineer - Senior Analyst

PwC; Auckland; Hybrid; NZD 110,000 - 160,000; Full time

Benefits offered by this job

Discretionary bonus

Referral bonuses

Retail discounts

Wellbeing allowance

Sick leave 15 days

Health insurance

Parental leave

Flexible working

Job summary

PwC NZ is seeking a Senior Analyst to join the Data team in Pōneke / Wellington or Tāmaki Makaurau / Auckland. You will design, build and optimise scalable data platforms and pipelines using Azure Data Factory, Fabric, Databricks and Snowflake to deliver trusted, analytics-ready data for clients.

You will collaborate with business and technical stakeholders across enterprise transformation programmes, supporting data governance and solution design through the full project lifecycle with a

Qualifications

• 3+ years' experience in Data Engineering, Data & Analytics, Technology Consulting, or related field.
• Strong consulting and stakeholder management skills.
• Strong analytical and problem-solving abilities with data.
• Experience contributing to cloud modernisation or data platform initiatives.

Responsibilities

• Partner with clients and project teams to translate business requirements into scalable data solutions.
• Design and deploy data platforms and pipelines using Azure Data Factory, Fabric, Databricks, Snowflake.
• Develop robust ETL/ELT processes for multi-source data.
• Build SQL, Python, and Spark solutions for analysis, automation and performance.
• Apply CI/CD and Infrastructure as Code to data projects.
• Collaborate across data, analytics, risk and technology teams to deliver outcomes.

Skills

Data engineering

ETL/ELT

SQL

Python

Spark

Azure

Databricks

Snowflake

Tools

Azure Data Factory

Microsoft Fabric

Databricks

Snowflake

Job description

Jora New Zealand will close on 9th September 2026. Thank you for being with us, we are cheering you on as you continue your career journey.

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.

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.

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 designing and delivering modern data solutions using cloud technologies such as Azure, Microsoft Fabric, Databricks, Snowflake, or similar platforms.

Strong technical foundations in data engineering, analytics and modern data architectures, including ETL/ELT, data modelling, APIs/integration, cloud-native and lakehouse approaches.

An understanding of data governance, data management, and data quality practices, with exposure to governance and metadata management tools advantageous.

Experience working with modern development and deployment practices, including automation, CI/CD and Infrastructure as Code.

A collaborative and adaptable approach, with the ability to work across different clients, industries, technologies and transformation programmes.

Rewards

Discretionary bonus opportunities; generous referral bonuses; retail discounts & deals

Growth

Global network; leadership development; A.I. tools and training; formal learning pathways

Wellbeing

$250 annual wellbeing allowance; Life & income protection; Sonder/EAP/Headspace; 15 days’ paid sick leave; group-rate health insurance (eligibility applies)

Reputation

PwC is known for shaping tomorrow. Join us and you’ll accelerate your career while helping clients and communities solve their most important problems.

Flexibility

Flexible working; supportive coaching culture

Time off

Two paid recognition days off provided each year during our annual summer shutdown period; purchase up to two extra weeks’ annual leave

Whānau & community

Paid parental leave for all parents with flexible options and financial planning support; inclusive networks; paid volunteering leave

Mō te aha tāu e tatari ana? / What are you waiting for?

Belong to a community of problem solvers where differences are embraced. We’ll empower you with technology, coaching, flexibility and trust to make a meaningful difference. Learn more on our careers site at https://www.pwc.co.nz/careers.html.

Grow here. Go further.