Data Engineer

  • Full Time
  • Anywhere


Note: you must have the legal right to live and work in New Zealand in order to be considered for this role. If relocating to Christchurch, we can assist with moving and setup costs.

About us
Partly is an early-stage startup on a mission to connect the world’s parts. There is currently a huge, mostly unsolved problem within the industry – linking a part to the vehicles it fits (often hundreds) is incredibly time consuming, often impossible. This is the problem we’re solving, and involves structuring millions of vehicles, hundreds of millions of parts, and billions of links. We use a number of bleeding edge technologies to do this (dGraph graph database, Kafka event streaming, etc).
We were founded by ex-Rocket Lab engineers and raised our Seed round from Blackbird Ventures (Canva, CultureAmp etc.), Hillfarrance, IceHouse Ventures and Peter Beck (RocketLab Founder).
We have 2 main products: PartsPal, a SaaS tool that makes it easy for parts businesses to sell online; and Partly API, which larger parts businesses and developers use to structure their data and get online. This is a $1.9 trillion industry, and solving this problem makes a huge difference for our customers.
The team at Partly are young and ambitious, and continually striving to improve. We are expanding globally, and offering you an exciting opportunity to grow your career alongside us, develop your skills and have fun doing it.

About the role
In this role, you will help lead the Data side of the business and work closely with our CEO. You will be joining a team of incredibly ambitious and talented engineers and data scientists to tackle hard, exciting problems and build beautiful software.​

Qualifications & experience
  • Strong experience with complex datasets, and relationships
  • Strong experience with complex multi-dependency data ingestion / merge pipelines
  • Strong experience with highly relational data / graph data structures / graph databases
  • Strong experience cleaning, extracting, and mapping real-world entities
  • Experience with ETL/ELT pipelines
  • Bonus: Experience with merging and tracking multiple datasets
  • Bonus: Experience with entity resolution
  • Bonus: Experience with Hadoop, Flume or similar data transformation tools
  • Bonus: Experience with knowledge graphs or expert systems
  • Strong bonus: experience in the automotive parts industry
  • Bonus: be based (or willing to move) to Christchurch

Tasks & responsibilities
  • Using models to validate and link different parts, brands, and vehicle definitions
  • Designing and implementing our knowledge graph
  • Using implicit relations to link part data across countries

  • Salary
  • Stock options (at Pre-Seed exercise price)
  • Flexible work hours
  • Team social events
  • Brand new office
  • Free snacks and coffee machine

Originally posted on Himalayas

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