Data Engineer

Location

Christchurch, New Zealand

Employment Type

Full time

Location Type

On-site

Department

Engineering

• ?? 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.

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.

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

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

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.

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