Hybrid Data Platform Engineer

at Kraken

• Job title: Data Platform Engineer
• Job type: Full Time
• Experience level: Mid level, Senior
• Salary: Not specified
• Degree requirement: Bachelor's Degree
• Tech skills: AWS, Cloud, Python, SQL, Terraform
• Location requirements: Hybrid, Melbourne, Australia

About the role

• Data Engineer using technology to transform energy solutions through data analytics and automation. Join Kraken to build a sustainable energy future with data-driven insights.

Responsibilities

• Build the platform used by Analytics Engineers to transform raw data into insight for the rest of the business - dbt is a powerful tool and we’ve built our own wrapper around it to maximise its effectiveness at Kraken
• Investigate and implement new tooling where appropriate, whether its developed in-house or sourced externally
• Maintain and build on our existing data infrastructure and tools.
• Consult the wider business on Analytics Engineering best practices and stay up to date with trends within the profession
• Support the internationalisation of our data infrastructure as we continue to grow globally.

Requirements

• First and foremost, **we want our data engineers to be great software engineers** with a passion for writing high quality code. It would be helpful to have experience/expertise in the following:
• Python, SQL, DBT
• Experience deploying data services in a cloud environment (ideally AWS)
• Experience in infrastructure as code - Terraform / Spacelift
• Experience with monitoring and optimising developer productivity using tools like Sentry
• The projects will be varied and we're looking for someone who can work autonomously and proactively to scope problems and solve and deliver pragmatic solutions.

Benefits

• Health insurance
• Flexible work arrangements
• Professional development opportunities