Senior Data Engineer

Summary

Join GROW Inc, a leading Australian FinTech company, as a Senior Data Engineer. You will design, build, and maintain a scalable data platform, write clean code, and contribute to a data-driven culture. This role requires extensive experience in data engineering, cloud platforms, and specific technologies. We offer a flexible, remote-work environment, health insurance, and a supportive team culture. Even if you don't meet every requirement, apply if you're passionate about our mission. GROW Inc is committed to responding to every applicant.

Requirements

• A healthy curiosity, autonomy and a strong sense of accountability
• Strong desire to perform and grow as an engineer
• Demonstrated technical initiative and a penchant for clean code
• 6+ years of experience designing, building, deploying and scaling data platforms
• Extensive knowledge of: Cloud architecture principles
• Extensive knowledge of: Stream and batch processing architectures and frameworks
• Extensive knowledge of: Relational and NoSQL databases
• Extensive knowledge of: Data warehousing concepts
• Fluency in SQL, Python and Java
• Strong experience with Databricks PySpark or SparkSQL
• Strong experience with building data models with dbt
• Experience working with cloud platforms like AWS, GCP or Azure
• Experience working with containerisation tools such as Docker and Kubernetes
• Experience working with observability tools like Prometheus and Grafana
• Experience working with Infrastructure as Code tools such as CloudFormation or Terraform

Responsibilities

• Design, build and own a scalable data platform and pipelines which empowers our internal teams to self service their data needs
• Write clean code and unit tests, perform code reviews, produce documentation and take the lead in solving complex technical challenges
• Setup builds and infrastructure that allows for stress-free deployments and releases
• Use a data-driven approach to decide if new infrastructure or services need to be added
• Design and execute experiments on new technologies and use of data, including documentation of results
• Contribute to the continuous improvement of our data quality framework
• Contribute to automated regression, performance and resiliency testing
• Mentor less experienced engineers in best practice
• Help grow the engineering team through interviews and code reviews

Preferred Qualifications

• Experience in the Superannuation industry
• Experience in Machine Learning, MLOps and Generative AI

Benefits

• 1 day of birthday leave each year
• Health insurance for you and 1 dependent
• Government Contributions paid on top of salary
• Flexible, remote working environment
• Diverse, friendly, and transparent culture
• On-the-job learning and training