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Lead Data Engineer
Sydney
Platform Engineering – Platform | Data /
Full Time Permanent /
Hybrid
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About Us 🚀
Immutable 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, Immutable 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 Immutable, and industry leaders like Ubisoft have chosen us as their partner for the future of gaming.
Over 6 million players use Immutable Passport, our unified identity enabling frictionless cross-game experiences, and our Immutable Audience platform has become the fastest-growing SaaS product line in our history. We're scaling rapidly, backed by a global team of creators, engineers, and gamers united by one mission: to build the most valuable growth layer in gaming and redefine how games launch, scale, and succeed. 🚀
A bit about the role:
Our fastest-growing product is Immutable Audience, an AI-native marketing and growth platform that helps game studios find, understand and keep their players. Every part of that product runs on data, and right now the data team is hiring Lead Data Engineer to support the whole path data takes, ingestion, transformation, modelling and getting it in front of internal and external customers.
Our fastest-growing product is Immutable Audience, an AI-native marketing and growth platform that helps game studios find, understand and keep their players. Every part of that product runs on data, and right now the data team is hiring Lead Data Engineer to support the whole path data takes, ingestion, transformation, modelling and getting it in front of internal and external customers.
What you’ll own 🎮:
- 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
You’re a match if you have 🤝:
- 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
Our technical stack: AWS, GCP BigQuery, dbt, a new Kafka/Flink/ClickHouse event-stream pipeline, and AI tooling including Cursor and Claude Code.
Bonus Points For ✅
- 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
We are proud of the benefits that we offer for all of our employees globally.
Here is a snapshot 😊
Attracting the best global talent
💸 We commit to paying globally competitive base salaries and contributions to a long-term fund
📊 Sharing our products' success through Employee Stock Options ESOP
🌟 Our flexible working model blends the best of both worlds: Sydney-based employees enjoy hybrid 3 days a week in our vibrant head office, while remote team members can work from home or utilise access to global office hubs via a WeWork All-Access pass
🥘 Lunch is ordered fresh every day in our friendly office in Sydney CBD
🎉 Quarterly End of Cycle Celebration Awards and Dinner
💻 USD $500 WFH allowance to set up your home office
☎️ USD $600 per annum to put toward your internet and phone usage.
🥳 USD $75 per quarter for remote employees to celebrate with local team members
⛑️ We also support our US Employees with Medical and 401K Insurance
🚘 Our Australian Employees can avail of Novated Leasing, save money by paying for your car using pre & post-tax dollars
Levelling up your growth
🌱 We offer up to USD $1,350 per annum for any classes, courses or events to support your growth and development
📚 Enjoy access to free online courses via Udemy
Helping you thrive
💆🏽♀️ Enjoy USD $800 per year to put toward your health and wellbeing
🤗 Get 24/7 access to unlimited counselling for you and your family when you need it through our EAP Service
🎁 Monthly subsidy and discounted rate with ClassPass, including a 1-year free membership to Breethe
Leave when you need it the most:
👨👧👦 New parents receive 12 weeks of paid leave in our gender-neutral offer. The birthing parent also gets an additional 6 weeks of leave for rest and recovery leading up to and after birth. We also offer Miscarriage Leave and extra leave for IVF treatments
🌟 Enjoy 2 additional paid annual leave days at the end of the year
🎂 Birthday you get a paid day off
Additional Information:
Immutable is committed to building and fostering an inclusive, diverse workplace. We believe in incorporating everyone's perspectives and experiences as this has been a significant driver of our success so far.
We are a 2026 Circle Back Initiative Employer. This means a human reviews every application and we commit to responding to every applicant.
*A note to recruitment agencies: Our internal team has this role covered, so there is no need to reach out - We don't accept unsolicited agency resumes and are not responsible for any fees related to unsolicited resumes. Thank you!
Join us in shaping the future of gaming!
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. 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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What does a data scientist in web3 do?
A data scientist in web3 is a type of data scientist who focuses on working with data related to the development of web-based technologies and applications that are part of the larger web3 ecosystem
This can include working with data from decentralized applications (DApps), blockchain networks, and other types of distributed and decentralized systems
In general, a data scientist in web3 is responsible for using data analysis and machine learning techniques to help organizations and individuals understand, interpret, and make decisions based on the data generated by these systems
Some specific tasks that a data scientist in web3 might be involved in include developing predictive models, conducting research, and creating data visualizations.