Data Engineer - Senior Analyst

PwC; Wellington; On-site; NZD 90,000 - 120,000; Full time

Benefits offered by this job

Discretionary bonus opportunities

Referral bonuses

Retail discounts & deals

Wellbeing allowance

Job summary

PwC New Zealand is seeking a Senior Analyst to join the Data team in Wellington or Auckland. You’ll deliver modern cloud-based data solutions, combining technical expertise, data analysis and stakeholder engagement to create trusted analytics-ready data.

You’ll work across the full project lifecycle—from discovery and design to development, deployment and ongoing optimisation—partnering with clients and teams to translate business needs into scalable data platforms.

Qualifications

• 3+ years' experience in Data Engineering, Data & Analytics, or technology consulting with client delivery.
• Strong consulting and stakeholder management skills to translate needs into technical outcomes.
• Analytical and problem-solving abilities with clear data storytelling.
• Experience in enterprise transformation, cloud modernisation, or data platform initiatives.
• Hands-on data solutions design using cloud technologies (Azure, Microsoft Fabric, Databricks, Snowflake).
• Foundations in ETL/ELT, data modelling, APIs/integration, and cloud-native architectures.
• Understanding of data governance, metadata management and data quality practices.
• Experience with automation, CI/CD, and Infrastructure as Code.

Responsibilities

• Partner with clients and project teams to translate business needs into scalable data solutions.
• Design, build and deploy data platforms and pipelines using cloud tech.
• Develop ETL/ELT processes transforming data into trusted datasets.
• Build SQL, Python and Spark solutions for analysis, automation and performance.
• Utilise AI-enabled tools to accelerate analysis, coding, testing and documentation.
• Analyse complex datasets and present findings with clear narratives to stakeholders.
• Contribute to data architecture, solution design and delivery planning.
• Support data governance, metadata management and data quality initiatives.
• Facilitate workshops and engage business stakeholders to deliver outcomes.
• Implement CI/CD and Infrastructure as Code for repeatable deployments.
• Troubleshoot platform, integration and data quality issues across client environments.
• Collaborate with multidisciplinary teams to deliver transformation outcomes.

Skills

Data engineering

Analytics

Stakeholder management

Consulting mindset

Client engagement

Tools

Azure Data Factory

Microsoft Fabric

Databricks

Snowflake

SQL

Python

Spark

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.

Tono tika mai / Please apply directly: We’re not currently partnering with recruitment agencies for this role. If you’d like to be considered, please apply directly - we’d love to hear from you.