Data Engineer - Manager job opportunity at PwC.

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DatePosted 20 Days Ago bot
PwC Data Engineer - Manager
Experience: 5-years
Pattern: full-time
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loacation Wellington - NZL, New Zealand
loacation Wellington - N..........New Zealand

Management Level Manager Job Description & Summary Kia ora,   Innovate. B uil d.   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 w hān au of experts and be supported with coaching, flexibility, and a culture where you truly belong. Here,   you’ll   work with world-leading technology - including A.I. - bringing your people- focused   skills and experience to deliver outcomes that matter.     This i s 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   K ōrero   mo tēnei   tūranga   / About the role   We’ re look ing   fo r eith er Senior Analysts or Managers to join our   Risk Services   team in   Pōneke   / Wellington   or Tāmaki Makaurau   /Auckland.  Your day-to-day could include:   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.   Collaborate closely with business stakeholders, data analysts, engineers, and product teams to gather requirements, translate them into technical solutions, and deliver robust, scalable, and high-quality data products.   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 Data Factory, Databricks, Synapse, or Event Hub.   Ensure data governance by enforcing metadata standards, lineage tracking, and access controls.   Ngā   pūkenga   kei   a   koe   / Skills and experience   Minimum 5 years’ experience as a Data Engineer with a strong focus on Azure cloud data services, ideally within a professional services or consultancy environment.   Hands -on experience with   Data   Governance and   Management tooling   (for   example,   Informatica ,   Collibra , etc),   including data integration, workflow orchestration, and performance   optimisation .   Proven ability to design, build, and   optimise   scalable, secure data pipelines using Azure Data Factory and complementary Azure services such as Databricks, Synapse Analytics, Data Lake Storage, and Event Hub.   Strong documentation practices, with the ability to produce clear and maintainable technical documentation covering data processes, architectures, models, and data flows.   Demonstrated experience implementing data governance and metadata management frameworks using Microsoft Purview, ensuring data quality, compliance, lineage, and security controls.   Experience leading and executing data migration initiatives, ensuring data integrity, consistency, and reconciliation across legacy systems and Azure cloud platforms.   Strong capability in establishing and managing data quality processes, including automated validation rules, profiling, monitoring, and data cleansing to maintain trustworthy data assets.   Familiarity   with AWS and Google Cloud Platform (GCP), enabling support for hybrid or multi-cloud architectures where required.   Proficiency in SQL, Python, or Spark for data transformation and complex logic development.   Experience with DevOps practices and Infrastructure as Code (e.g., Terraform, Bicep, GitHub Actions, Azure DevOps).   Understanding of data modelling (dimensional & relational) and modern data architectures such as data lakehouse, event-driven, or   ETL -based patterns.   Ngā   ā huatanga   hirahira   o   te   mahi ki P wC / Highligh ts 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? / Wha t 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.     Please note:   PwC Takes a break from 19 Dec 2025 to 12 Jan 2026. We appreciate you making an application. We will not be reviewing applications until   our   return to the office and will contact you when we return in the new year.   Travel Requirements Not Specified Available for Work Visa Sponsorship? Yes Job Posting End Date

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