Senior Data Engineer

Senior Data Engineer

Everything we do is to empower creative professionals to thrive, with unlimited access to high-quality assets, tools, tutorials and more. Essentially, we exist to empower creatives to thrive. We proudly support the lives of creative professionals all over the world, from web developers and graphic designers, to marketers, videographers, photographers and more. We're a global values led company, blending purpose and profit, and a passionate B Corp we are committed to making a positive impact on the communities we engage in. We have long embraced flexible ways of working, and we're proud of how we keep our global team connected. Our roles can be based across Australia, New Zealand and Mexico.

As a Senior Data Engineer at Envato, you will be responsible for building and operating the core systems that move data from source to warehouse, ensuring our platforms remain reliable, scalable, and secure. You will work within the Data Engineering team in a DevOps-style environment where you support and run everything you build. The focus of this role is on the platform side of data engineering : infrastructure, orchestration, and ingestion. While you will collaborate with Analytics Engineers, you will not be responsible for business-facing data modelling or analytics. This role is a great fit for an engineer who enjoys building the systems and pipelines that enable others to work with data. You will work across a modern data stackincluding AWS, Terraform, Airflow, and Snowflaketo ensure data flows reliably and securely into our platform, forming a stable foundation for data across the business.

What You'll Be Doing

• Write high-quality, well-tested, and documented infrastructure code using Terraform.
• Build and maintain internal tooling, Docker images, and shared utilities for data workflows using Python and SQL.
• Utilise Git-based version control and CI / CD tooling (e.g., GitHub Actions, Terraform Cloud) to deliver platform changes.
• Own the end-to-end data ingestion layer, using tools like Fivetran and custom Python pipelines, from source systems to the warehouse.
• Configure and maintain Airflow DAGs, ensuring reliable scheduling, and contribute to the operation of cloud data warehouses like Redshift and Snowflake.
• Translate stakeholder needs into actionable infrastructure solutions, clearly communicating trade-offs and delivery plans.
• Actively participate in planning sessions and retrospectives to align on scope and delivery priorities, while maintaining up-to-date documentation.
• Debug and resolve issues across infrastructure, orchestration, and ingestion systems, participating in incident response and post-incident reviews.
• Continuously evaluate solutions to improve the performance and cost-effectiveness of platform components and data workflows.
• Collaborate closely with Analytics Engineering and other teams, sharing knowledge and providing constructive code reviews to promote best practices.

About You

Flexible Working - Remote-first with flexibility for you to manage work and life as you need.

Work from Anywhere - Apply to work in another location for up to 3 months per calendar year.

Connection Budget - An annual budget to connect with the team IRL where and when possible.

Learning Budget - Study leave and an annual budget for you to put towards your learning and development.

Home Office Allowance - A contribution towards your set-up and a monthly allowance to support work from home costs.

Wellbeing - Access to a holistic assistance program that provides support in many areas of life and health.

Volunteer Leave - 2 days per calendar year to volunteer and give back to the community.

Parental Leave - 20 weeks paid primary carer leave, and 6 weeks paid secondary carers leave.

Research shows candidates from neurodiverse and underrepresented backgrounds often only apply for roles if they meet all the criteria. We like to make our hiring decisions based on lived experience, so if you're keen to apply and need reasonable adjustments please let us know.