Hiring.Camp

Data Engineer - Senior Analyst/Manager

Pwc

·

Today

Location
Auckland - PwC Tower, New Zealand
Type
Full-time
Department
Engineering
Seniority
Senior
Closing date
Today
Source
Workday

Description

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 Manager to join our growing Data team in Tāmaki Makaurau / Auckland. 


This is an exciting opportunity for an experienced data professional who combines technical depth, commercial awareness, delivery leadership and strong stakeholder engagement to lead modern cloud-based data solutions. Working across enterprise transformation programmes, you'll shape how clients solve complex data problems, lead the design and delivery of scalable data platforms, and ensure solutions create trusted, analytics-ready data and measurable business value. 


You'll lead engagements across a broad range of clients and technologies, building trusted relationships with senior business and technical stakeholders, leading and developing high-performing teams, guiding multidisciplinary teams and maintaining accountability for delivery quality, commercial outcomes and client value. The role spans the full project lifecycle, from opportunity shaping, discovery and solution design through to development, deployment, analysis and ongoing optimisation. 


What you'll be doing: 


  • Leading client engagements and workstreams, clarifying requirements, shaping delivery approaches and translating needs into scalable data solutions.
  • Owning modern data platform and pipeline design and delivery across Azure Data Factory, Microsoft Fabric, Databricks and Snowflake.
  • Providing technical direction and quality oversight across ETL/ELT, SQL, Python and Spark solutions, supporting trusted data, automation, performance and scalability.
  • Championing AI-enabled tools to accelerate analysis, coding, testing, troubleshooting and documentation, while maintaining appropriate judgement, quality and security controls.
  • Overseeing complex data analysis and communicating insights, issues and opportunities to senior stakeholders through clear visualisation and narrative.
  • Leading data architecture, solution design, technical specifications, estimates, delivery planning and key design decisions.
  • Advising clients on enterprise data governance, metadata management and data quality, embedding fit-for-purpose practices into delivery.
  • Facilitating workshops and influencing senior business and technical stakeholders, translating technical concepts and analysis into practical business outcomes.
  • Ensuring CI/CD and Infrastructure as Code support secure, repeatable and scalable deployments.
  • Managing delivery risks, dependencies, platform, integration and data quality issues across complex client environments.
  • Leading and developing delivery teams through clear expectations, delegation, coaching, feedback and support for individual growth and performance.
  • Collaborating across data, analytics, risk and technology, while contributing to proposals, practice development and 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 an experienced leader who combines strong technical capability with commercial and analytical thinking, a consulting mindset, and the ability to lead teams and advise clients on complex business challenges through data. 


You'll bring: 


  • 6+ years’ experience in Data Engineering, Data & Analytics, Technology Consulting or a related field, including leading the delivery of data-driven solutions for clients.
  • Strong consulting, commercial and stakeholder management skills, with the ability to build trusted relationships, influence senior stakeholders and translate business needs into practical technology and data outcomes.
  • Demonstrated experience leading delivery teams, including delegating work, setting expectations, providing feedback, coaching others and taking accountability for collective outcomes.
  • Strong analytical and problem-solving skills, with the ability to guide teams through unfamiliar datasets, test hypotheses and communicate insights through clear analysis and visualisation.
  • Experience leading or playing a significant role in enterprise transformation, cloud modernisation or data platform initiatives in complex environments.
  • Strong hands-on understanding of modern data solutions using Azure, Microsoft Fabric, Databricks, Snowflake or similar platforms, with the ability to provide technical direction and challenge design decisions.
  • Strong technical foundations in data engineering, analytics and modern data architectures, including ETL/ELT, data modelling, APIs/integration, cloud-native and lakehouse approaches.
  • Strong understanding of data governance, data management and data quality practices, with exposure to governance and metadata management tools advantageous.
  • Experience overseeing modern development and deployment practices, including automation, CI/CD and Infrastructure as Code.
  • A collaborative, adaptable and growth-oriented approach, with the ability to build effective teams, develop others and foster a positive, accountable environment 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.   


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

December 31, 2026

Skills

PythonAzureCI/CDSQLSparkSnowflakeDatabricksData EngineeringETL

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Data Engineer - Senior Analyst/Manager at Pwc | Hiring.Camp