Senior Data Engineer
5 hours ago
At Envato, everything we do is about empowering creatives to thrive.
We're here to help creatives bring their ideas to life, supercharge their workflows, and equip them with an unparalleled toolkit they can use anywhere. With unlimited access to world-class assets, innovative AI tools, and hands-on tutorials, we deliver what creatives need today - and are continually evolving our offering. As AI transforms the creative landscape, we're committed to building what's next for the future.
We're a purpose-driven company and we've long embraced flexible, inclusive ways of working. We're proud of the connected culture we've built across our global team. Our values: Community Spirit, Build Our Future, Embrace Diversity, Make It Happen, and Make Envato Proud, guide everything we do, shaping how we work, grow, and succeed.
You can read more about us on our blog, including news of our acquisition by Shutterstock Inc in 2024.
About the role
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 stack—including AWS, Terraform, Airflow, and Snowflake—to 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.
- You likely have 5 years of experience in data or software engineering, with a distinct focus on infrastructure, ingestion, and orchestration.
- High proficiency with Infrastructure as Code (Terraform) and cloud-native environments, specifically AWS.
- Hands-on experience using Airflow for orchestration and Python for building ingestion tools and automation.
- Strong comfort working with SQL in data warehouses such as Redshift or Snowflake, and familiarity with dbt.
- Proven experience operating production-grade data pipelines, encompassing both managed connectors and custom-coded solutions.
- Deep understanding of data engineering fundamentals, including ingestion best practices, platform reliability, and system observability.
- Experience taking end-to-end ownership of platform components, including their deployment, monitoring, debugging, and cost management.
- Demonstrated ability to contribute to technical designs (e.g., RFCs) and evaluate trade-offs in architecture and tooling.
- Excellent communication and collaboration skills, with experience working effectively across engineering, analytics, and product teams.
- A thoughtful approach that prioritises automation and operational excellence, balancing short-term delivery with long-term platform sustainability.
• 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.
We appreciate the time you've taken to apply to Envato and we're committed to responding to every applicant.
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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.
#LI-Remote We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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