Auckland, New Zealand

Data Engineer/Senior Data Engineer

You’ll join at a pretty magical time. Kami’s user base is growing and thriving. With over 100 team members based across Auckland, the USA, South Africa, UK and Brazil we’re really proud of all the accomplishments and milestones we’ve achieved, so far. This is a chance to join our team and become an integral member of Kami’s growth.

As a Senior Data Engineer, you will play a leading role in designing and implementing tools and infrastructure that allow internal and external stakeholders to access data-based insights to drive decision-making in our business and to meet the needs of our customers.

Your day to day
  • Lead projects in the design, development and maintenance of core data infrastructure, including data warehouses, pipelines and integrations.
  • Monitor, troubleshoot and optimise the performance of data infrastructure and tools, including databases, automated analytics jobs, pipelines and integrations.
  • Develop and improve functionality in the company’s products that collects data in the product application, including usage tracking.
  • Design, develop and implement data models to be robust foundations enabling educational and business insights.
  • Mentor and provide technical guidance to junior data engineers, assisting them in their professional growth and development.
  • Collaborate with teams across the company and external stakeholders to understand business requirements and translate them into robust data solutions.
  • Work closely with data scientists and analysts to understand and negotiate requirements for data infrastructure and tools, and provide high-quality data.
  • Drive the implementation and advancement of best practices and coding standards for data engineering processes and workflows.
  • Evaluate and recommend new technologies, tools, and frameworks to enhance the data engineering infrastructure and capabilities.
  • Participate in the development and implementation of data governance policies and procedures.
  • Conduct work for data analytics projects from time to time, as needed by current business priorities.
  • Stay up to date with industry trends, advances and best practices in data engineering and recommend their adoption where appropriate.
  • Actively use and be reachable on the online communication and collaboration applications selected by the company for company-wide use, during all working hours. The Employee understands that this is a material obligation of the Agreement.
what you’ll bring
  • A bachelor’s degree or equivalent, and at least five years’ experience in a technical discipline including programming experience
  • Advanced proficiency in Ruby, Ruby on Rails and SQL
  • Exemplary software practice, including writing clear code, problem decomposition, and source control using Git
  • Excellent communication skills to work effectively with teams across the business and distil project requirements from stakeholder requests
  • Ability to analyse complex problems and break them down into smaller components to facilitate defining clear specifications
  • Leadership and mentoring skills to guide and support junior data team members
  • Extensive expertise in databases, data pipelines and other data tools and infrastructure
  • Ability to learn and work with APIs of third-party software systems
  • Constant attention to detail for data security, integrity and quality
  • Proficiency in data cleaning, manipulation and transformation methods
  • Proficiency in data visualisation tools and techniques
  • Understanding of data modelling concepts and database design principles
  • Understanding of practices in data governance and data security
  • Understanding of algorithms, data structures and computer systems
  • Understanding of principles of statistics, data science and machine learning
  • Familiarity with some technical computing languages, such as Python, Julia, R and/or Stata
  • Excellent problem-solving, debugging and troubleshooting skills related to data engineering challenges
  • Strategic thinking and ability to contribute to the long-term data vision of the business

Could this be you?

We’d love to hear from you!
Job will be taken down when vacancy is filled.