Data Engineer - Senior Analyst/Manager at PwC in Auckland
- Company: PwC
- Location: Auckland - PwC Tower
- Job type: full time
- Workplace: onsite
- Posted: 2026-10-14
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, set
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