Data Engineer - Senior Analyst/Manager

PwC; Auckland; On-site; NZD 120,000 - 160,000; Full time

Job summary

PwC is seeking a senior associate to lead data engagements in Auckland, shaping delivery of scalable data platforms across Azure, Fabric, Databricks and Snowflake. You will guide teams, manage stakeholders and drive measurable business value through data solutions.

You will combine technical depth with commercial insight, delivering across the full lifecycle from discovery to deployment and optimisation. A blended, client-facing leadership role in a growing data team.

Qualifications

• 6+ years' experience in Data Engineering, Data & Analytics, Technology Consulting or a related field.
• Strong consulting, commercial and stakeholder management skills, with the ability to build trusted relationships and translate business needs into practical technology 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 and communicate insights clearly.
• Experience leading or playing a significant role in enterprise transformation, cloud modernisation or data platform initiatives in complex environments.
• Hands-on understanding of modern data solutions using Azure, Microsoft Fabric, Databricks, Snowflake or similar platforms.
• Strong foundations in data engineering, analytics and modern data architectures (ETL/ELT, data modelling, APIs/integration, cloud-native, lakehouse).
• Strong understanding of data governance, data management and data quality practices, with exposure to governance and metadata management tools.

Responsibilities

• Lead client engagements and workstreams, clarifying requirements and shaping delivery approaches.
• Own data platform and pipeline design and delivery across Azure Data Factory, Microsoft Fabric, Databricks and Snowflake.
• Provide technical direction and quality oversight across ETL/ELT, SQL, Python and Spark solutions.
• Champion AI-enabled tools to accelerate analysis, coding, testing and documentation.
• Oversee complex data analysis and communicate insights and opportunities to senior stakeholders.
• Lead data architecture, solution design, technical specifications and delivery planning.
• Advise clients on enterprise data governance and metadata management practices.
• Facilitate workshops and influence senior stakeholders to translate technical concepts into business outcomes.

Skills

Leadership

Data governance

Stakeholder management

Cloud data platforms

ETL/ELT

Python

SQL

Spark

Tools

Azure Data Factory

Databricks

Snowflake

Microsoft Fabric

Job 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 ad