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. This role is ideal for professionals, who can combine strong technical delivery with business consulting, stakeholder engagement, and enterprise transformation leadership across modern data platforms and cloud ecosystems.

Your day-to-day could include:

• Collaborate closely with senior business stakeholders, product owners, and cross-functional teams to understand strategic objectives, translate business requirements into scalable data solutions, and deliver outcomes aligned to enterprise priorities.
• Lead client workshops, discovery sessions, and stakeholder engagements, communicating complex technical concepts in a business-focused and outcome-driven way.
• Support enterprise-wide data transformation initiatives, helping organisations modernise data capabilities, improve governance, and enable scalable analytics platforms.
• Provide technical leadership across data engineering engagements, coordinating delivery activities, mentoring junior team members, and contributing to high-quality project execution.
• 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.
• 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 Azure Data Factory, Fabric, Databricks, or equivalents such as Snowflake.
• Ensure data governance by enforcing metadata standards, lineage tracking, and access controls.
• Contribute to solution design, estimation, and delivery planning activities for complex enterprise data engagements.

Ngā pūkenga kei a koe / Skills and experience

• Minimum 4 years’ experience in Data Engineering, Data & Analytics, or Technical Consulting, ideally within a professional services environment.
• Experience contributing to enterprise data transformation initiatives, including cloud modernisation, governance uplift, and analytics enablement.
• Strong stakeholder engagement and consulting skills, with the ability to translate business requirements into scalable technical solutions and business outcomes.
• Demonstrated leadership capability, including mentoring team members, coordinating delivery activities, and working across cross-functional teams.
• Excellent communication and workshop facilitation skills, with the ability to present complex technical concepts to non-technical stakeholders.
• Proven experience designing and optimising scalable Azure data solutions using services such as Azure Data Factory, Fabric, Databricks, or Snowflake.
• Hands-on experience with data governance and metadata management tools such as Microsoft Purview, Informatica, or Collibra.
• Proficiency in SQL, Python, or Spark, with experience in CI/CD and Infrastructure as Code (Terraform, Bicep, Azure DevOps).
• Strong understanding of modern data architectures, including lakehouse, event-driven, and ETL-based patterns.
• Exposure to AI, advanced analytics, or emerging cloud technologies is desirable.
• Experience on enterprise transformation initiatives is highly desirable.

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.