One Planet Group is a closely held private equity firm that owns a suite of online technology and media businesses while also investing in early-stage companies.
About the role
We’re looking for a modern Data Engineer who thrives at the intersection of data, cloud, and AI. You build the systems that power insight — scalable pipelines, cloud-native data platforms, and intelligent workflows that turn raw data into business value at speed.
What they're looking for
- At least four years’ experience is preferred
- Ability to read, analyze, and interpret general business periodicals, professional journals, technical procedures, or governmental regulations
- Ability to write reports, business correspondence, and procedure manuals
- Ability to effectively present information and respond to questions from groups of managers, clients, customers, and the general public
- Problem-solving, teamwork, and effective communication with both technical and non-technical audiences are crucial
- Ability to solve practical problems and deal with a variety of concrete variables in situations where only limited standardization exists
More about this role
We’re looking for a modern Data Engineer who thrives at the intersection of data, cloud, and AI. You build the systems that power insight — scalable pipelines, cloud-native data platforms, and intelligent workflows that turn raw data into business value at speed. In this role, you’ll architect and own our data infrastructure end-to-end: designing pipelines, optimizing data warehouses on platforms like Snowflake and Redshift, and leveraging AI-assisted tooling and agentic development practices to move faster and smarter. You bring a builder’s mindset, are fluent in modern data stacks, and are energized by a rapidly evolving technology landscape.
This is a full-time, in-person role at our Victoria office.
- Support the building of data acquisition and preparation processes
- Creating data integration scripts and executing analytical queries that transform and utilize data for business insights
- Data pipeline maintenance/testing
- Facilitate data cleansing and data enrichment
- Identify ways to improve data reliability, efficiency, and quality
- Prepare data for predictive and prescriptive modeling
- Support machine learning operations (MLOps)
- Enable searching, data visualization,...
Browse similar: Startup jobs · Remote jobs