Data Engineer - Senior Analyst / Manager

Management Level

Manager

Job Description & Summary

Kia ora, 

Innovate. Build. Reinvent. Make your tech skills count at PwC New Zealand. 

At PwC, our purpose is clear: to build trust in society and solve important problems. 

 

Join our diverse whānau of experts and be supported with coaching, flexibility, and a culture where you truly belong. Here, you’ll work with world-leading technology - including A.I. - bringing your people-focused skills and experience to deliver outcomes that matter. 

 

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 either Senior Analysts or Managers to join our Risk Services team in Pōneke / Wellington or Tāmaki Makaurau /Auckland. 

Your day-to-day could include: 

• Monitor and improve data quality by designing and implementing automated validation rules, performing ongoing data profiling, and executing data cleansing routines to ensure accuracy, completeness, and reliability. 

• Develop, maintain, and continuously refine comprehensive documentation covering data pipelines, data models, solution architecture, and end-to-end data flows to support transparency, scalability, and knowledge sharing. 

• Diagnose, troubleshoot, and resolve complex data pipeline failures, integration issues, and system performance bottlenecks, ensuring high availability and optimal performance across data platforms. 

• Proactively evaluate and adopt emerging Azure data services, industry best practices, and modern engineering patterns to enhance platform capability, security, and efficiency. 

• Collaborate closely with business stakeholders, data analysts, engineers, and product teams to gather requirements, translate them into technical solutions, and deliver robust, scalable, and high-quality data products. 

• Implement CI/CD practices and Infrastructure as Code (e.g., Terraform/Bicep) for deploying and maintaining scalable data infrastructure. 

• Design and optimise data pipelines using Azure services such as Data Factory, Databricks, Synapse, or Event Hub. 

• Ensure data governance by enforcing metadata standards, lineage tracking, and access controls. 

Ngā pūkenga kei a koe / Skills and experience 

• Minimum 5 years’ experience as a Data Engineer with a strong focus on Azure cloud data services, ideally within a professional services or consultancy environment. 

• Hands-on experience with Data Governance and Management tooling (for example, Informatica, Collibra, etc), including data integration, workflow orchestration, and performance optimisation. 

• Proven ability to design, build, and optimise scalable, secure data pipelines using Azure Data Factory and complementary Azure services such as Databricks, Synapse Analytics, Data Lake Storage, and Event Hub. 

• Strong documentation practices, with the ability to produce clear and maintainable technical documentation covering data processes, architectures, models, and data flows. 

• Demonstrated experience implementing data governance and metadata management frameworks using Microsoft Purview, ensuring data quality, compliance, lineage, and security controls. 

• Experience leading and executing data migration initiatives, ensuring data integrity, consistency, and reconciliation across legacy systems and Azure cloud platforms. 

• Strong capability in establishing and managing data quality processes, including automated validation rules, profiling, monitoring, and data cleansing to maintain trustworthy data assets. 

• Familiarity with AWS and Google Cloud Platform (GCP), enabling support for hybrid or multi-cloud architectures where required. 

• Proficiency in SQL, Python, or Spark for data transformation and complex logic development. 

• Experience with DevOps practices and Infrastructure as Code (e.g., Terraform, Bicep, GitHub Actions, Azure DevOps). 

• Understanding of data modelling (dimensional & relational) and modern data architectures such as data lakehouse, event-driven, or ETL-based patterns. 

Ngā āhuatanga hirahira o te mahi ki PwC / Highlights of working at PwC NZ 

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

• 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. 

• Wellbeing - Life & income protection; Sonder/EAP/Headspace; 15 days’ paid sick leave; group-rate health insurance (eligibility applies) 

• Flexibility - Flexible working; supportive coaching culture 

• Time off - Purchase up to two extra weeks’ annual leave; two recognition days provided each year; annual summer shutdown period 

• Whānau & community - Paid parental leave for all parents with flexible options and financial planning support; inclusive networks; paid volunteering leave 

• Rewards - Discretionary bonus opportunities; generous referral bonuses; retail discounts & deals 

 

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

Hit Apply now. To learn how you can grow and shine in your career at PwC, visit our careers site at https://www.pwc.co.nz/careers.html.  

Grow here. Go further. 

Ngā whakautu ki o pātai / Your questions answered 

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

April 17, 2026