Lead Data Engineer

3 нед. назад

AustraliaWorldwideLeadHybrid

data engineeringaimarketing analytics

Lead engineer role responsible for data infrastructure powering AI-native marketing and growth platform in gaming.

About Us 🚀   is the world’s fastest-growing game platform, built to power the next generation of games. We aim to drive the next evolution of gaming, combining performance, digital ownership and cutting-edge technology to help games grow and succeed. At the intersection of AI-driven analytics, high-performance growth tools, and seamless digital ownership, our technology helps studios attract, engage, and scale player communities.   Founded in 2018, is one of Australia’s fastest companies to reach unicorn status, raising more than AUD $400M+ with a valuation of AUD $3.5B. Today, more than 700 games are building on , and industry leaders like Ubisoft have chosen us as their partner for the future of gaming.   Over 6 million players use P

Strong, hands-on data engineering fundamentals: pipelines, modelling, and clear reasoning about correctness, scale, and failure modes
Strong SQL and Python, used daily in production
Experience designing, building, and scaling production data pipelines end to end (some streaming exposure is a plus)
Depth in the modern batch stack: dbt, an orchestrator, a cloud warehouse
Data modelling skills, schemas that serve analytics and product use cases and hold up at scale
Real experience with event data at billions-of-rows scale
Experience with cloud infrastructure (AWS or GCP) and infra-as-code
A data quality and observability mindset, testing, monitoring, and alerting as habit
A track record of setting technical direction through architecture decisions and mentoring senior engineers
Clear communication, you can explain data trade-offs to non-technical stakeholders
Strong ownership and pragmatic judgment
Comfort with ambiguity, priorities shift as the product evolves and you adapt without a perfect spec

Shipped streaming systems in production with tools like Kafka and Flink, ideally alongside an OLAP store like ClickHouse
Background in gaming, adtech, or martech event data
A track record of using AI to multiply your output and lifting your team's AI fluency

Build a greenfield real-time event-streaming platform on Kafka, Flink, and ClickHouse, serving segmentation and targeting at scale
Set the technical direction for the platform as our products scale
Own warehouse datasets and transformations end to end in BigQuery, dbt, SQL, and Python
Set data quality, testing, and observability standards across streaming and batch, tuning for cost and latency as volumes scale
Raise the bar through code review, mentoring, and patterns the team builds on
Build AI into how you work and into the platform itself, from coding agents to automated quality checks