Josh Greer
Mount Victoria,Wellington, NZ
Summary
Data Engineer with 2.5 years of experience specialising in pipeline development. Proven track record of leading, designing and delivering efficient, large-scale data pipelines end-to-end independently. Go-to technical and company domain expert, trusted with overseeing and mentoring data scientists. Strong ability to communicate complex concepts simply to technical and non-technical audiences.
Currently based in Wellington, NZ, with plans to relocate to Melbourne. Open to hybrid or in-person opportunities in Melbourne, or fully remote roles across Australia (full Australian working rights).
Overview
2
2
years of professional experience
Work History
Data Engineer
Dot Loves Data
Wellington CBD, Wellington
06.2025 - Current
- Developed robust ETL data pipelines with strict daily delivery requirements, for internal use and external sharing.
- Proven optimisation track record, delivering 65% reduction in overall pipeline costs, reduced single project cost by 4x.
- Designed and implemented testing standards for production pipelines.
- Designed and implemented company wide programming and data modelling standards.
- Deployed machine learning models into production pipelines.
- Managed company-wide Snowflake access control.
Data Scientist
Dot Loves Data
Wellington CBD, Wellington
07.2024 - 06.2025
- Lead, designed and built end-to-end data pipeline for highest revenue client, working closely with them to gather requirements.
- Analysed large banking transactions datasets to identify trends, patterns and anomalies.
- Produced data visualisations for company press releases.
- Implemented data pipeline for data insights website with complex transformations.
- Contributions to modelling brand names from messy, free-text data.
Data Scientist
Harmonic Analytics
Wellington CBD, Wellington
02.2024 - 07.2024
- Implemented natural language processing to identify causes of power outages from free text data.
- Performed exploratory data analysis on electricity infrastructure alarms data to identify poor performing assets. Communicated results to client weekly.
- Revived legacy R Shiny dashboard visualising transformer likelihood of failure.
Data Science Intern
Harmonic Analytics
Wellington CBD, Wellington
11.2023 - 02.2024
- Analysed large household energy consumption dataset which identified ~300 likely electric vehicle owners for client's sales team to contact
- Produced aggregate energy time-of-day consumption visualisations, providing evidence of the efficacy of grid load management strategies.
- Designed and built R Shiny sales dashboard for client.
- Refactored R Shiny dashboard improving run-time from 55 minutes to 5.
Education
Bachelor of Applied Science - Data Science
University of Otago
Dunedin, NZ11-2023
Skills
- Data pipeline development
- Programming: Python, R, SQL (Snowflake), DBT, Git
- Data Modelling
- Dashboard development incl Data Visualisation
- Infrastructure as Code (SnowDDL)
- Machine learning
- AWS (S3)
Timeline
Data Engineer
Dot Loves Data
06.2025 - Current
Data Scientist
Dot Loves Data
07.2024 - 06.2025
Data Scientist
Harmonic Analytics
02.2024 - 07.2024
Data Science Intern
Harmonic Analytics
11.2023 - 02.2024
Bachelor of Applied Science - Data Science
University of Otago