Data Engineer - Senior Analyst

Kia ora,  

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. 

• 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  

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.  

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.