Database Development & Administration (Information & Communication Technology)The Company:Join a business that's dedicated to making a real difference in Aotearoa New Zealand! They're known for fostering a culture of inclusivity, wellbeing, and personal growth, encouraging employees to be their authentic selves. You'll be working in a modern team, knowing that your contributions have a direct impact on improving insights on projects that benefit others. With great benefits, opportunities for career growth, and a collaborative team culture, this is a place where your work truly matters.The Role:As a Data Engineer, you'll be joining a talented team of professionals to support the development and enhancement of advanced data services. In this role, you'll be working closely with various stakeholders to help deliver modern solutions, using cutting-edge tools and platforms like Databricks, SQL, and Python. You'll be playing a key part in their journey to modernize their platform and projects moving forward, with responsibilities including designing and optimising data pipelines, working on data ingestion and processing, and ensuring solutions align with overall architectural guidelines.This is a 12-month, fixed-term, full-time role. This role is ideally based out of our client's Christchurch office, but can potentially be based out of Wellington for an exceptional candidate.About You:You'll be a strong collaborator, passionate about innovation, and skilled at navigating complex data engineering challenges. With experience in working with advanced data processing platforms, you'll be able to bring ideas to the table and work efficiently with cross-disciplinary teams to create meaningful solutions. This role would suit someone who thrives in a dynamic, agile environment, and enjoys contributing to projects that have a direct impact on people's lives.Skills:You'll ideally have the following skills and experience:Significant experience commercially with the Databricks platform, ideally also using Python/SQL for data handling and analysis.Senior-level experience in data engineering, with a focus on building and maintaining data pipelines, ensuring efficient data processing and storage.Strong background in designing ETL/ELT workflows, optimizing processes for performance and reliability.Hands-on experience with cloud-based data solutions, e.g. Snowflake or Azure.Proficiency in using CI/CD tools like Azure DevOps, GitLab, or GitHub to automate and streamline workflows.Comfortable working with BI tools like Tableau or Power BI to support reporting and data visualization needs.What's in it for you?You'll be joining a forward-thinking team with great benefits, including flexible working arrangements, development opportunities (coaching, training, study support), and additional annual leave. If you're ready to take the next step in your data engineering career and think this role sounds like you, then please apply now!For more information, please contact James Hurren on ****** for a confidential chat.
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