Upoko o te Pūhanga Raraunga Head of Data Engineering

We are currently recruiting for an experienced Upoko o te Pūhanga Raraunga Head of Data Engineering based at the Z head office Wellington to lead the strategy architecture and delivery of the Ampol Group enterprise-wide data engineering capability. Reporting to the General Manager Data Analytics and AI this pivotal leadership role responsible for shaping how Ampol designs builds and operates scalable secure and high-performing data platforms that enable advanced analytics business intelligence and AI-driven decision making across the organisation.

Leading a high-performing team of Data Engineers across New Zealand Australia and Singapore you will drive modern data engineering practices establish robust engineering standards and ensure the Ampol Groups data ecosystem is fit for the futuresupporting both operational excellence and strategic transformation. This role will sit at the heart of Ampols technology and data agenda partnering closely with architecture cybersecurity product teams analytics data science and business stakeholders to deliver trusted high-quality data products at scale.

This is a rare opportunity to influence enterprise direction uplift engineering maturity and build a world-class data platform capability within a large complex and evolving environment.

Key Responsibilities

As Head of Data Engineering this role will be accountable for the end-to-end leadership and execution of Ampols data engineering function including:

• Lead mentor and develop a data engineering team (15 engineers) creating a high-performance culture focused on quality delivery excellence innovation and continuous improvement.
• Own and drive the data engineering strategy ensuring alignment to the Ampol Groups broader technology strategy and business priorities.
• Design and oversee the architecture and delivery of enterprise-scale data platforms including data lakes data warehouses lakehouse environments and data integration frameworks.
• Ensure the development of robust reusable and scalable data pipelines and orchestration frameworks that support batch and real-time data ingestion and processing.
• Establish engineering standards and best practices across CI/CD automated testing code quality version control deployment pipelines and observability.
• Drive the uplift of data governance metadata management lineage and data quality frameworks ensuring trusted and compliant enterprise data.
• Partner with Data Science and Analytics teams to ensure platforms and pipelines support AI/ML workloads feature engineering and model operationalisation (MLOps enablement).
• Implement strong security and resilience controls across data platforms including access management encryption auditability and secure data sharing.
• Lead vendor and partner engagement where required including evaluation of new technologies and management of strategic delivery partners.
• Manage engineering priorities and delivery planning ensuring effective resourcing roadmap execution and value-driven outcomes across multiple initiatives.
• Ensure Ampols data engineering capability is future-ready through continuous evaluation and adoption of modern cloud-native tools patterns and frameworks.

Qualifications :

About you:

To be successful in this role you will bring deep technical expertise strong leadership capability and the ability to influence at enterprise level.

• Extensive experience in data engineering with demonstrated enterprise-scale delivery experience.
• Enterprise leadership experience including mentoring performance management capability uplift and workforce planning.
• Depth of experience and knowledge of modern data platform architectures including Data Warehousing Data Lakes and Lakehouse approaches.
• Proven expertise designing and managing high-performing ETL/ELT pipelines data modelling frameworks and scalable integration patterns.
• Experience with cloud-based data ecosystems (e.g. AWS Azure or GCP) and modern platform tooling.
• Strong experience with data engineering CI/CD practices including automated testing deployment pipelines Infrastructure as Code (IaC) and DevOps ways of working.
• Deep understanding of data governance master data metadata management lineage privacy and regulatory compliance ideally in complex enterprise environments.
• Strong SQL and data modelling capability with experience building reusable data products to support BI analytics and AI/ML use cases.
• Experience implementing platform performance optimisation monitoring logging and reliability practices for production-grade data environments.
• Strong stakeholder engagement skills with the ability to translate technical complexity into clear business value and influence senior leaders.

Desirable:

• Degree in Computer Science Engineering Data Science or a related discipline.
• Experience with modern data technologies such as Snowflake Databricks Synapse BigQuery Redshift Spark Kafka and API-driven integration frameworks (highly desirable).

Additional Information :

What we can offer you  

• A competitive remuneration package including short-term incentive plan medical insurance for you and your family enhanced employer contribution for KiwiSaver 
• Generous leave provisions including enhanced sick leave parental leave benefits and the option to buy additional leave 
• The balance of hybrid working enjoy some of your week at home and some in our welcoming office space 
• The opportunity to contribute and be part of a supportive team that is here to make a difference 
• A chance to build your own capability through learning from some of the industrys most knowledgeable people who have a desire to share their insights along with access to upskilling opportunities and career development across the organisation 
• Two days a year to do Good in your Hood though our volunteering scheme a chance for you to help others in your community in a meaningful way to you 

The base salary range for this role is $200000.00 to $240000.00 per annum plus 20% STI based on company performance a 5% KiwiSaver employer contribution and health insurance through Southern Cross. 

Why Z 

Z has always been a proud Kiwi company. Were aspirational for our future confident of our role in Aotearoa New Zealands success and deeply loyal to our customers communities and people.  

At Z we focus on achieving extraordinary outcomes by setting the appropriate context rather than by telling our people what to do. By doing this high performing and talented people deliver better results and are more personally fulfilled. 

We care deeply for our people while pushing them to achieve their best as individuals and collectively as an organisation. Our flexible working approach and Rainbow Tick and Gender Tick accreditations - backed by our strong company values Tū Kaha Stand Up Tū Maia Speak Out Tū Kotahi Side by Side - have created an open and inclusive workplace that promotes personal development and is underpinned by a desire for our people and our communities to succeed.  

One of the things we stand for at Z is Diversity & Inclusion. It is our belief that having a diverse workforce make it possible for our people to truly be themselves and deliver on our aspirations for Z.  

Were distinctive in our approach and if youre up for a challenge wed love you to be part of it. If Z sounds like a place you believe you can add value and grow your own capability then make sure you read Our Why. This is our founding document and provides further insights in what it means to part of the Z whānau.  

If Z feels like a good match for your head and your heart come join us for one heck of a journey! 

Please include a cover letter in your application telling us why youre a great fit for Z. 

Remote Work :

No

Employment Type :

Full-time