Data Engineer
4 weeks ago
Join a dynamic and forward-thinking organisation that specialises in modern cloud-based data solutions. With a strong focus on scalability and efficiency, this company is dedicated to leveraging cutting-edge technologies like Snowflake and dbt to drive business intelligence and analytics.
The RoleAre you a passionate Data Engineer with 2-3 years of experience? This is an exciting opportunity to develop and maintain scalable data pipelines while working with modern cloud data platforms. You will collaborate closely with senior engineers and business stakeholders to ensure data is processed, stored, and optimised for analytics. This hybrid role, based in Auckland CBD, offers a balance of remote and on-site work.
Key Responsibilities:- Design, build, and maintain data pipelines using Snowflake, dbt, and SQL.
- Support ETL/ELT processes with tools such as Azure Data Factory, Fivetran (nice-to-have), or Apache Airflow.
- Work with cloud platforms (Azure preferred) and services like Azure SQL Database and Blob Storage.
- Process structured and semi-structured data to enhance reporting, dashboards, and analytics capabilities.
- Ensure data integrity, security, and compliance within pipelines and storage solutions.
- Partner with senior engineers, data analysts, and business teams to deliver effective data solutions.
- 2-3 years of experience in data engineering or a related field.
- Strong SQL skills for querying and managing large datasets.
- Experience with Snowflake or similar cloud-based data warehouses.
- Familiarity with data transformation tools such as dbt (preferred) or similar frameworks.
- Experience with cloud data services (Azure, AWS, or GCP) is a plus.
- Exposure to ETL/ELT tools like Azure Data Factory or Apache Airflow.
- Strong analytical and problem-solving abilities with a continuous learning mindset.
- Excellent communication skills and a collaborative approach to teamwork.
- Hybrid work setup 3 days on-site in Auckland CBD, 2 days remote.
- Opportunities for career growth and mentorship from experienced data engineers.
- Hands-on experience with modern cloud-based data technologies and best practices.
- A supportive and inclusive team environment that values innovation and collaboration.
At Randstad, we are passionate about providing equal employment opportunities and embracing diversity to the benefit of all. We actively encourage applications from any background.
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