
Leading the way in online social gaming
VGW, headquartered in Perth, Australia, has been a leader in online social gaming since its founding in 2010. The company launched Chumba Casino in 2012, utilizing patented sweepstakes technology to offer a diverse range of games, including slots, blackjack, and roulette. In 2016, VGW expanded its p...
VGW offers competitive salaries, equity options, generous PTO, and a flexible remote work policy. Employees also benefit from a vibrant office culture...
VGW fosters a unique culture that emphasizes a work hard/play hard ethos, encouraging creativity and collaboration among its diverse team of over 700 ...
VGW is seeking a Data Engineer to architect and optimize scalable, cloud-native ETL pipelines. You'll work with AWS, Docker, and various databases to transform raw data into analytics-ready insights. This role requires 3-5 years of experience in data engineering.
You have 3-5 years of experience in data engineering, with a strong background in building scalable data pipelines. You are proficient in cloud technologies and understand the principles of CI/CD, Infrastructure as Code (IaC), and observability. Your experience includes working with various databases and data warehousing solutions, enabling you to transform raw data into actionable insights effectively.
You are comfortable working in a collaborative environment where you own your projects from inception to deployment. You thrive in a culture that values learning and development, and you are eager to stay updated with the latest industry practices and technologies. You understand the importance of data quality and are committed to delivering reliable analytics-ready data.
Experience with container orchestration tools like Kubernetes is a plus. Familiarity with Kotlin and TypeScript will help you integrate seamlessly into our tech stack. You are proactive in seeking out opportunities for improvement and are excited about participating in community events and conferences.
As a Data Engineer at VGW, you will architect and optimize cloud-native ETL pipelines that transform raw data into reliable insights. You will work closely with cross-functional teams to understand data requirements and ensure that the data infrastructure supports the needs of the business. Your role will involve designing data models, implementing data quality checks, and ensuring that data is accessible and usable for analytics.
You will leverage AWS services to build and maintain scalable data solutions, utilizing Docker for containerization and orchestration. You will also be involved in the migration of applications to Kubernetes, enhancing the efficiency and reliability of our data processing workflows. Your contributions will directly impact the quality of insights derived from our data, enabling better decision-making across the organization.
You will participate in code reviews and contribute to the continuous improvement of our engineering practices. You will also have opportunities to mentor junior engineers and share your knowledge with the team. Your role will be pivotal in fostering a culture of collaboration and innovation within the engineering team.
At VGW, we offer a dynamic work environment where you can grow your career in data engineering. You will have access to a world-class Engineering Learning and Development program, with opportunities to attend local and international conferences. We believe in the importance of work-life balance and provide a supportive culture that encourages personal and professional growth.
Join us on this exciting journey, and together, we’ll achieve remarkable things. If you want to be part of a team that does things differently, apply today. We look forward to seeing what you can bring to our team.
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