Data Engineer - Senior Analyst / Manager

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.