Lead Data Engineer
Immutable is a company building AI-powered player growth tools and blockchain infrastructure for game studios, including an Ethereum Layer 2 network and developer SDKs.
Maintainer signals as of 9/2/2026
Funding history
Projects
About Immutable
Immutable serves game studios seeking player acquisition tools and developers building onchain games. Growth tools cover audience capture, automated AI campaigns, cross-channel attribution, and player identity management. The blockchain component, Immutable Chain, is an EVM-compatible Layer 2 on Ethereum with gas-free transactions for players and native Unity and Unreal Engine integration.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will build a real-time event-streaming platform with Kafka Flink and ClickHouse. You will own warehouse datasets and transformations using BigQuery dbt SQL and Python. You will establish standards for data quality testing and observability while improving cost and latency. You will guide architecture decisions review code mentor engineers and apply AI tools to development and automated quality checks.
Requirements
- Strong data engineering fundamentals including pipelines modelling correctness scale and failure modes
- Strong production SQL and Python skills
- Experience designing building and scaling production data pipelines end to end
- Experience with dbt an orchestrator and a cloud warehouse
- Data modelling skills for analytics and product use cases
- Experience with event data at billions-of-rows scale
- Experience with AWS or GCP and infrastructure as code
- Experience with data quality testing monitoring and alerting
- Experience setting technical direction through architecture decisions and mentoring senior engineers
- Clear communication with non-technical stakeholders
- Strong ownership and pragmatic judgment
- Comfort with ambiguity and changing priorities
Responsibilities
- Build a real-time event-streaming platform using Kafka Flink and ClickHouse
- Set the technical direction for the data platform
- Own warehouse datasets and transformations in BigQuery dbt SQL and Python
- Establish data quality testing and observability standards
- Tune systems for cost and latency at scale
- Review code and mentor engineers
- Use AI tools for development and automated quality checks
Benefits
- Employee stock options through ESOP
- Flexible working model with remote work options
- WeWork All-Access pass for global office hubs
- Daily fresh lunch at the Sydney office
- Quarterly celebration awards and dinner
- USD $500 work-from-home allowance
- USD $600 annual internet and phone allowance
- USD $75 per quarter for remote employees to celebrate with local team members
- Medical and 401K insurance for US employees
- Novated leasing for Australian employees
- Up to USD $1,350 annually for classes courses or events
- Free online courses through Udemy
- USD $800 annual health and wellbeing allowance
- 24/7 unlimited counselling for employees and their families
- ClassPass subsidy and discounted rate
- One-year free Breethe membership
- 12 weeks of paid gender-neutral parental leave
- Additional paid leave for the birthing parent
- Miscarriage leave and additional IVF treatment leave
- Two additional paid annual leave days at year end
- Paid birthday day off