Data Engineer - Senior Analyst

**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 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.  **Ngā āhuatanga hirahira o te mahi ki PwC / 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   **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](https://www.pwc.co.nz/careers.html).    Grow here. Go further.    **Ngā whakautu ki o pātai** _/_ **Your questions answered**   _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._   **Travel Requirements** Not Specified **Available for Work Visa Sponsorship?** Yes **Job Posting End Date**