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’llwork with world-leading technology - including A.I. - bringing your people-focusedskills 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. 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.

• Wel lbeing - 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