The Company: Join a progressive data consultancy that empowers organizations with transformative data solutions.
Known for a collaborative and supportive work culture, this team is committed to driving real change across diverse sectors, fostering innovation, and supporting professional growth.
Here, values aren't just words—they're lived daily through impactful projects and a community-centered approach that is always focused on putting their customers first.
The Role: We're looking for a passionate and experienced Data Engineer at a upper-Intermediate to Senior level, to bring expertise to dynamic projects that deliver high-quality data insights.
You'll design, develop, and manage cutting edge data solutions.
This is your chance to apply your skills in Snowflake and Python while contributing to meaningful outcomes in a fast-paced, client-centered environment.
This role can be worked from anywhere within New Zealand, however you must have valid work rights for a permanent position.
About You: You bring a minimum of 3 years of experience in data engineering, with a strong grasp of ETL/ELT best practices.
You're naturally analytical, committed to continuous improvement, and driven by the opportunity to make a tangible impact.
You thrive in a collaborative setting and are eager to tackle projects that push the envelope of what data can do.
Skills: 2+ years in data engineering, with a focus on efficient ETL/ELT processes.Experience in Snowflake and Python, with an eye for creating optimized workflows.Knowledge of great data modelling principles and SQL.Knowledge of tools like Fivetran and Coalesce is advantageous.A customer focused mind-set, and enjoying working in a fast-paced and tightknit team.
What's in it for you?
This role offers a chance to work with an engaged, forward-thinking team and enjoy: A culture that celebrates innovation, collaboration, and professional growth.Competitive salary, Health insurance, and highly flexible work arrangements.Opportunities to expand your expertise in data engineering, cloud platforms, and beyond.If you're ready to take the next step in your data engineering career and thinks this role sounds like you, then please apply now!
For more information, please contact James Hurren on (email protected) for a confidential chat.