We are seeking an experienced Data Engineer to join our recently formed Data Science team. The ideal candidate will have a proven track record of delivering scalable, cloud-based data pipelines. You'll enjoy working with others to design and implement new processes, maintain existing ones and promote best practices. This is a chance to work with large, interesting datasets in a collaborative and inclusive company. As part of a small team, you will help to shape how we do things, and your work will make a big impact as you deliver useful tools and insights to colleagues across the business.
Key Responsibilities:
Design and build pipelines within our data platform, building automation and quality into everything you do
Share knowledge and promote best practices. We want to build stable, resilient and future-proof systems
Help to develop and implement our data architecture and engineering roadmap
Work on ad hoc data extraction and ETL tasks as needed to support colleagues
Collaborate with colleagues across the business to understand their data problems and design solutions that help the
Coach and mentor junior colleagues, supporting them in their development
Key Requirements:
Proven experience as a Data Engineer working with cloud technologies (AWS preferred) and large volumes of data
Good coding skills, with strong Python and SQL
A can-do attitude and enjoy learning new things. You should be comfortable taking ownership of projects, breaking down complex problems and asking for help when you need it
Strong communication skills, able to clearly explain and document your work
A solid understanding of data-related best practices when it comes to security, version control, etc.
Able to work from our office in Nelson two days a week
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