🚀 Our story
Partly's mission is to connect the world's parts and we're doing that by building the first global platform for replacement parts, starting with auto parts. Our big vision is to accelerate the world towards a sustainable future where waste is eliminated and all replacement parts are universally searchable, accessible and available to all.
Founded by ex-Rocket Lab engineers, we utilise cutting-edge technology to solve challenging but exciting problems that make a huge impact in a $1.9 trillion industry. We've more than tripled our team over the last 12 months and expect to double in size again over the coming 12 months. We're a global team spanning both Europe and Australasia.
We provide a scalable digital infrastructure solution to some of the world's largest businesses and the most exciting startups. Partly's solutions are integrated across hundreds of companies globally, providing the backbone for cataloguing and managing parts online.
Our investors in Blackbird Ventures (Canva, CultureAmp etc.), Square Peg, Octopus Ventures, Hillfarrance, Icehouse, Peter Beck (Rocket Lab), Akshay Kothari (Notion Co-Founder) and Dylan Field (Figma Co-Founder).
We're continuing to build a world-class team and ensuring Partly is a place where people can do the best work of their lives. We're proud of the culture we've built at Partly, and our values are lived throughout every experience.
🖍️ This role
Data in the automotive industry is scattered around the world in a variety of complex formats, and the fun part is in unifying these data into a single format that drives our clients' business.
As a Data Engineer at Partly, you will be the technical owner of our data pipelines and infrastructure. You’ll be responsible for designing, building, and optimising robust systems that ingest, process, and deliver data to internal teams and external customers at scale. This includes introducing best practices such as schema versioning, pipeline version control, automated validation, lineage tracking, orchestration, monitoring, and cost optimisation. This is a green field project, so you will have the opportunity to have a huge amount of impact.
💻 What will you do
Design, build, and maintain scalable data pipelines that ingest, transform, and process automotive parts and vehicle data from multiple sources
Partner with Product, Engineering, and Customer teams to deeply understand data needs and ensure customers are set up for success
Implement best practices in data engineering — schema management, version control, testing, validation, and monitoring
Optimise performance and cost of pipelines and infrastructure while maintaining reliability and scalability
Develop visualisations and APIs to surface insights and power customer-facing features
Collaborate cross-functionally to solve customer problems and ensure data solutions meet business requirements
Build reusable data models and transformation logic to generalise structures for new customers and markets
Act as a technical voice for data within the organisation, shaping how Partly builds, manages, and scales its data platform
🥷 Your skills
Experience in data engineering — designing, building, and scaling pipelines and ETL/ELT processes
Proficiency in SQL and Python (or similar programming languages used for data engineering)
Hands-on experience with modern data tools (e.g., Airflow, dbt, Spark, Kafka, Snowflake, BigQuery, Redshift, etc.)
Strong understanding of databases and data modelling (relational and non-relational)
Experience with cloud platforms (AWS, GCP, or Azure) and data infrastructure management
Detail-oriented but also a systems thinker — able to zoom out and design for scale and reusability
Strong communicator — able to explain complex data topics clearly to technical and non-technical audiences
(Preferred, but not essential) Experience working with e-commerce, automotive, or cataloguing data
Ownership mindset — driven to solve problems end-to-end and continuously improve systems
🪅 Benefits
Competitive base salary plus equity. Even though we’re a small startup, we offer competitive salaries and great equity.
Parental leave and flexible return to work. After returning to work, primary carers can work 4-day weeks for 100% of their pay for the first twelve weeks. For secondary carers, we offer 10 days of leave at full pay.
Flexible working hours. We’re office-first, but are flexible with hours and working from home when you need to.
A brand new architecturally designed office in Christchurch CBD. With free snacks, drinks on tap, two different coffee machines, social areas, and one of the best cafes in Christchurch 50m away.
Monthly team lunches to celebrate our wins and enjoy each other's company outside the office.
Ergonomic workspace. Sit-stand desks, ergonomic chairs, quiet spaces, and collaboration spaces to suit all kinds of working styles.