- Australia’s leading educational video platform as we scale globally
- Join a high-performing, passionate and motivated engineering team with a culture of best practice
- Permanent role, full-time, working hybrid from home and in the Sydney office
Why Join Us?
Do you want to make a positive impact on the education of future generations? If the answer’s yes, then we want you here at ClickView. We believe in using the power of video to transform traditional education, making video learning easy by building innovative tools, systems and services to provide the education sector with an intuitive platform to view and share high quality videos.
At ClickView, we look for passionate professionals who are seeking a hands-on role in a dynamic organisation. In turn, we invest in our staff to enhance overall team performance and achieve growth together. You can expect support and the benefits of a flexible, open and vibrant work environment.
Are you ready to take your first step with us?
The role:
We are looking for a talented Data Engineer to join our fast-moving Product Team that ships code to production many times a week. We’ve built a fully cloud, best-of-breed data pipeline on top of AWS services and Snowflake, DBT, FiveTran, HighTouch, and Looker.
Our product is used by millions of users around the world and we stream millions of events from our products and services that are transformed, hydrated, and stored in our data lake. We are looking for someone to join the team and help make our data useful to teams.
This role resides within the Product Team, so there is no expectation to spend time in cross-departmental meetings and interface with internal stakeholders, leaving you with more time for big projects and deep work. The ideal candidate is a smart, personable, and friendly Data Engineer who communicates in a clear and concise manner. You live and breathe best-practice engineering and are passionate about learning new technologies
Responsibilities:
- End-to-end responsibility for data projects and work to enable our engineering teams by making data useful:
- Design, build, and maintain efficient, reusable, and reliable data pipelines and ETL processes.
- Develop and manage the data architecture to ensure data quality, integrity, and security.
- Implement best practices for data management, including data governance and data lifecycle management.
- Collaborate with product and engineering teams to understand data requirements and provide scalable solutions.
- Monitor and troubleshoot data issues, ensuring timely resolution and minimal disruption.
- Work closely within the team to support data visualization and reporting solutions using Looker.
- Create and maintain documentation related to data engineering processes and workflows.
Requirements:
- Solid experience working in data engineering or software engineering
- Experience with cloud Data Warehousing (Snowflake) and Data Lake experience
- A strong understanding of ELT/ETL processes and data architecture
- Nice to have, experience with data structures and query languages in relational DBs such as MySQL and MS SQL Server
- Experience with DBT and familiar with the best practice of data transformation and adherence best practices.
- Familiar with AWS native services (S3, DMS, Lambda, Glue, etc)
- A passion for data engineering and analytics
- Understanding of statistical models
- Ability to visualize data with the knowledge of BI tools (we use Looker)
- Ability to maintain data infrastructure, and data pipelines and ensure data integrity
- Ability to communicate ideas, processes, and practices clearly
Benefits:
- Extra paid Wellbeing and Volunteering leave - to care for yourself and others
