Join a dynamic data team focused on building innovative data solutions. You'll work with modern technologies to create efficient data pipelines that drive business insights.
collaborative and growth-focused
As a Data Engineer at Network IT, you will be part of a high-impact team dedicated to building and optimizing data pipelines. Your primary responsibility will be to develop scalable data solutions using Databricks and Apache Spark, ensuring that data flows efficiently and reliably across various systems. This role is ideal for someone who enjoys working with modern cloud technologies and is passionate about driving business insights through data.
In your day-to-day work, you will design and implement end-to-end data workflows and CI/CD processes. Collaboration is key, as you will work closely with cross-functional teams to deliver high-quality data solutions. Attention to detail is crucial, as you will be responsible for maintaining data quality and performance across all pipelines.
To succeed in this role, you should have a relevant tertiary qualification in IT, Computer Science, Data Engineering, or a related field, along with 3 to 5 years of experience in data engineering. A solid understanding of end-to-end data flow design and proven experience with big data tools are essential. If you thrive in a collaborative environment and are eager to contribute to impactful data projects, this position could be a great fit for you.
You'll be taken to the original listing on PNet to apply.