Chapter Lead

**General information**:

- Location
- Auckland, Christchurch, Wellington
- Expertise
- Data Automation, Software Development
- Job Level
- Experienced, Management
- Employment Type
- Permanent full-time
- Close Date
- 07-Feb-2025
- Ref #
- 59163

**Description & Requirements**:
**Spark NZ**

As New Zealand's largest telecommunications and digital services company, Spark’s purpose is to help all of New Zealand win big in a digital world. We provide mobile, broadband, and digital services to millions of New Zealanders and thousands of New Zealand businesses.

We operate in an exciting and constantly evolving industry, where the pace of change brings new and unique challenges every day, so we operate using Agile ways of working to allow us to meet the fast-changing needs of our customers. Agile replaces the traditional hierarchical organisational structure to produce a transparent, collaborative environment with highly productive teams who are empowered to deliver better outcomes for our customers, communities, and all of New Zealand.

**The Data Story at Spark**:
Spark has been on a journey with data, with data getting increasingly embedded into business decision-making. Data Democratization, Machine Learning and Artificial Intelligence are at the forefront of our new opportunities. We are actively looking at ways to create data products to make our data more accessible than ever before to help both Spark and our valued customers win big in a digital world.

One of the key aspects of building these data products is to create beautiful and intuitive user interfaces using web development and data visualisation tools/ techniques (incl. React, TypeScript, Python, GIS etc.) and enable interaction with insights driven by deep data analytics and commercial levers.

**About the role**

**Role Requirements**:
- Minimum of 4+ years of experience in software development and delivery- **Customer Focus**: Obsession with understanding and satisfying user needs- **Communication Skills**: Strong communication skills for user interactions and team collaboration- **Technical Proficiency**: Solid technical background, capable of writing clean, secure code- **Innovation**: Creative and innovative mindset, capable of brainstorming and executing new ideas- **Adaptability**: Ability to adapt to changing requirements and user feedback- **Frontend**: React.js, Next.js, TypeScript- **Backend**: Python, FastAPI, NodeJS- **Data Visualization** in JavaScript libraries (Chart.js, Recharts, Echarts etc.) or any other frameworks like Streamlit, Plotly Dash- **Proficiency in Azure DevOps** for CI/CD and workflow automation,- Solid practical experience with Docker and Kubernetes, including container orchestration
- Proficiency in Git and GitHub for version control and collaboration
- Practical knowledge of SQL, with expertise in database design and query optimization
- Experience is Snowflake or other popular relational, or non relational database and warehouses are beneficial.

**Product Mindset**

**Responsibilities**:
- **Leadership & Team Growth**:Lead, mentor, and develop a high-performing team of Data Application Engineers.
- **Foster a culture of innovation and continuous learning**, ensuring the team is up to date with modern technologies.
- **Cross-functional collaboration**, including data scientists, product managers, and business leaders, to align engineering efforts with organizational goals.
- **Advocate for high-quality engineering practices**, including CI/CD, DevOps, and cloud-native architecture.
- Provide technical guidance to non-technical stakeholders, ensuring clear communication between engineering and business teams- Degree in Technology, Business, or Science
- Experience in software development and delivery
- Ability to lead and mentor teams while fostering an environment of continuous learning
- Strong knowledge of Docker, Azure DevOps, Kubernetes, Git, and SQL
- Excellent problem-solving skills and stakeholder management abilities.
- Experience driving large-scale engineering initiatives in an agile environment.
- Product thinking and strategic mindset to drive impactful data solutions.

**WHY CHOOSE US**:
**Diversity and Inclusion: Te Kanorau me te Whakawhāiti mai**

At Spark, we are constantly looking for ways to build a more inclusive culture. Our vision is for diversity and inclusion to be “how things are done at Spark”, embedded into our day-to-day activities, standards, and business practices. We want you to feel totally comfortable bringing your whole self to work regardless of your gender, ethnicity, orientation, age, or ability.

**Sustainability: Toitū**

Sustainability is a key focus for us. We are dedicated to supporting Aotearoa New Zealand’s recovery and economic transformation. The principle of equity is at the very heart of our approach, and we remain committed to working in partnership to make a positive contribution to digital equity in line with our focus on Diversity and Inclusion.

**Benefits: