Data Engineer Manager
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Job Location:
Wellington - New Zealand
Monthly Salary:
Not Disclosed
Posted on:
7 days ago
Vacancies:
1 Vacancy
Job Summary
Management Level
ManagerJob 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. Hereyoullwork 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. Youll learn from the best take on meaningful challenges and make a lasting impact for our clients our communities and Aotearoa.
NgāKōreromo tēneitūranga/ About the role
Were lookingfor either Senior Analysts or Managers to join ourRisk Servicesteam inPōneke/ Wellingtonor 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 andmaintainingscalable 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.
Ngāpūkengakeiakoe/ 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 withDataGovernance andManagement tooling(forexampleInformaticaCollibra etc)including data integration workflow orchestration and performanceoptimisation.
Proven ability to design build andoptimisescalable 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.
Familiaritywith 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 orETL-based patterns.
Ngāāhuatangahirahiraotemahi 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 andyoull accelerate your career while helping clients and communities solve their most important problems.
Wellbeing - Life & income protection; Sonder/EAP/Headspace; 15 days paid sick leave; group-rate health insurance (eligibility applies)
Flexibility - Flexible working; supportive coaching culture
Timeoff -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 areyou waiting for
Hit Apply now. To learn how you can grow and shine in your career at PwC visit our careers site at here. Go further.
Ngāwhakautuki opātai/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 untilourreturn to the office and will contact you when we return in the new year.
Travel Requirements
Not SpecifiedAvailable for Work Visa Sponsorship
YesJob Posting End Date
January 30 2026Required Experience:
Manager
Key Skills
- Apache Hive
- S3
- Hadoop
- Redshift
- Spark
- AWS
- Apache Pig
- NoSQL
- Big Data
- Data Warehouse
- Kafka
- Scala
About Company
At PwC, our purpose is to build trust in society and solve important problems. We’re a network of firms in 155 countries with over 284,000 people who are committed to delivering quality in assurance, advisory and tax services. Find out more and tell us what matters to you by vis ... View more
