Senior Data Engineer

  • Company:
    New Zealand Post
  • Location:
  • Salary:
    negotiable / month
  • Job type:
  • Posted:
    22 hours ago
  • Category:

New Zealand Post, and there’s more to us than meets the eye, is part of New Zealand’s key infrastructure. Around since 1840, we provide physical and electronic networks that allow New Zealanders to send and receive messages, goods and payments. We have multiple revenue earning businesses and an annual turnover of almost $1 billion. We are proud of the great future we’re creating, making sure we bring the best to our customers and communities and deliver what New Zealanders care about.We have a bold, enterprise-wide ambition to ensure that data underpins and heightens our customer and employee experience. Our senior leadership understand the importance of data management and advanced analytics capabilities that will allow us to build a pathway towards a proactive, predictive, automated, and personalised future.About the roleOur Senior Data Engineers play a key role in ingesting raw data and operationalising NZ Post’s most valuable data and analytics products. We’ve been working hard, building a new cloud-based data platform to better service the data and analytics needs of NZ Post into the future. We work in cross-functional squads with other professionals to build integrated and reusable data pipelines and transformations that enable faster data access, integrated data reuse and improved time-to-solution. A key part of the role is being responsible for moving these data pipelines (including transformations) effectively into production and making curated data sets available for key data and analytics consumers e.g. business/data analysts, data scientists.About youWe’ve been busy working on building a new cloud-based Data Platform so your strong experience with AWS, Python, CI/CD, and SQL will be necessary to allow you to hit the ground running. Experience with GitHub, Snowflake, and Java will be an advantage. You’ll need to demonstrate your solid experience in data management disciplines including data integration, modelling and optimisation. We’re looking for an energetic self-starter with great people skills, sound judgement and the ability to operate with a sense of urgency. Your experience working in cross-functional teams and collaborating with stakeholders will also be highly valued in this role.