Data Engineer - Senior Analyst

JobSpace; Auckland; On-site; NZD 120,000 - 180,000; Full time

Benefits offered by this job

Discretionary bonus

Leadership development

AI tools training

Wellbeing allowance

Sick leave 15 days

Health insurance

Job summary

PwC NZ is seeking a Senior Analyst to join the Data team in Wellington or Auckland. You will blend data engineering with stakeholder engagement to deliver scalable, cloud-based data platforms that enable trusted analytics and real business value.

You will design and implement modern data solutions using Azure, Fabric, Databricks and Snowflake, develop robust ETL/ELT pipelines, and contribute across the full project lifecycle from discovery to deployment and optimisation.

Qualifications

• 3+ years' experience in Data Engineering or Analytics delivering data-driven solutions.
• Strong consulting and stakeholder management skills.
• Ability to translate business needs into practical technology and data outcomes.
• Experience with cloud data platforms and transformation initiatives.
• Familiarity with governance and data quality practices.

Responsibilities

• Translate business requirements into scalable data solutions.
• Design, build and deploy data platforms and pipelines using Azure Data Factory, Fabric, Databricks and Snowflake.
• Develop ETL/ELT processes transforming data from multiple sources into trusted datasets.
• Build SQL, Python and Spark solutions for analysis, automation and performance.
• Apply CI/CD and Infrastructure as Code to deployments.
• Collaborate with multidisciplinary teams to deliver high-impact transformation outcomes.
• Support data governance and metadata management initiatives.
• Engage with stakeholders to translate data insights into practical business outcomes.

Skills

Data Engineering

Cloud Platforms

Stakeholder Management

SQL

Python

Spark

ETL/ELT

CI/CD

AI Tools

Tools

Azure

Microsoft Fabric

Databricks

Snowflake

Job description

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.

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.

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 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.

Highlights of working at PwC NZ

• 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

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.

Grow here. Go further.

Nau mai ngā tono wawe / We encourage early applications: This role may close before the listed date if we identify a suitable candidate.

Atamai hangahanga / A.I. usage: Please note that secure, A.I.-enabled tools may support parts of our recruitment process, but all applications are reviewed and decisions made by our people.

Travel Requirements: Not Specified

Available for Work Visa Sponsorship? Yes