Data Engineer

2 days ago


Auckland, Auckland, New Zealand Vista Group Full time NZ$80,000 - NZ$120,000 per year

We're looking for an experienced Data Engineer with a passion for continuous learning in an ever-changing and challenging technology landscape, who wants to deliver outstanding code and results.

Sitting in Vista's Data Architecture team, you'll be working on cutting edge technology and tools to support our wider engineering and data science initiatives across the business. This role will also contribute to data engineering best practices with respect to data science projects.

About the role

  • Develop software tools and infrastructure to enhance data engineering practices
  • Collaborate closely with Vista data science to accelerate deployment of data science initiatives
  • Implement Vista coding standards, patterns and practices and contribute to defining these standards
  • Identify complex problems, investigate, evaluate and discuss possible options, implement agreed solutions
  • Explores and generates new approaches, frameworks or solutions to work-related issues
  • Actively Integrate generative AI into your work practices
  • Collaborate with Engineering and Data Science teams to integrate their development practices into data engineering workflows.
  • Develop familiarity with a range of Vista applications, products and the business processes behind them, particularly those products interacting with Data Science initiatives
  • Actively apply product and process knowledge to problem-solving and solution development
  • Share knowledge and actively contribute to the training of others, where required and appropriate
  • Maintain knowledge of current and emerging technology and best practices
  • Coach and mentor junior team members in a positive way to facilitate their growth and development
Requirements

About you

  • The ability to build efficient and elegant code solutions to complex, real-world problems
  • Passion for data, software engineering and Generative AI
  • Strong experience with Python
  • Proficiency in using generative AI to assist with accelerating daily workloads
  • Knowledge of data systems, ETL tooling and good coding practices
  • An excellent understanding of modern software engineering techniques, practices and patterns and their application in real world software scenarios

For this role, we are currently only considering applicants with the right to live and work in New Zealand without the need for employer sponsorship.

Shared Standards

Our Shared Standards act as a compass for how we work together and reflect the behaviours we value at Vista Group. The way in which each member of our crew embodies these Shared Standards is an indicator for performance and success, as it aligns with our vision and strategy.

One Crew

We're a diverse team, in different places and functions, and we're at our best when we connect, help and collaborate

Shine a Light

We communicate openly, we explain the why, and we ask when we don't understand. We don't leave people in the dark

Make it Happen

We make good things happen as people and as teams through our focus on delivery

Chase Great

We challenge ourselves and each other to keep improving.

Benefits

You will be supported to continually learn and improve your tech skills, share knowledge and ideas in the team, and be part of a dynamic and open culture.

We have a range of benefits that include:

  • Being part of a passionate team that values innovation and collaboration
  • Work on products that make a real impact in the entertainment industry
  • Enjoy a supportive environment that encourages growth and learning
  • Outstanding flexibility to support a healthy work-life balance
  • Hybrid working (home and office-based split)
  • Medical and Life insurance
  • Volunteer day, enhanced paid parental leave and wellness benefits
  • Fun team events including the Vista Innovation Cup

If you enjoy a challenge and working in a dynamic and collaborative team, you'll love working at Vista.

We value inclusivity celebrate diversity and are committed to offering equal opportunity to our staff and candidates — regardless of gender, age, race, ethnicity, marital status, disability, sex, sexual orientation, religious, ethical beliefs or political opinion. This commitment is reflected in all our employment policies and procedures.


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