Lead Data Engineer

Immutable; Sydney; Hybrid; AUD 180,000 - 260,000; Full time

Benefits offered by this job

ESOP

Hybrid work model

Lunch in Sydney office

USD 500 WFH allowance

Internet/phone allowance USD 600 per 1

Remote collaboration access

Job summary

Immutable is seeking a Lead Data Engineer to own the data path from ingestion to consumption for Immutable Audience. You’ll build a real-time event-streaming platform on Kafka, Flink, and ClickHouse, and guide the technical direction as the product scales.

You’ll manage warehouse datasets in BigQuery with dbt and Python, set data quality and observability standards, mentor engineers, and explore integrating AI features.

Qualifications

• Strong data engineering fundamentals for scale and correctness.
• Hands-on SQL and Python used in production.
• Experience building end-to-end data pipelines, some streaming.
• Depth in batch stack: dbt, orchestrator, cloud warehouse.

Responsibilities

• Build real-time event-streaming platform on Kafka, Flink, ClickHouse.
• Own data platform direction as products scale.
• Manage warehouse datasets and transformations in BigQuery, dbt, SQL, Python.
• Set data quality, testing, and observability standards.
• Mentor team and promote code quality.
• Integrate AI into workflow and platform tooling.

Skills

SQL

Python

Data pipelines

Data modelling

Observability

Mentoring

Architecture

Communication

Tools

dbt

BigQuery

Kafka

Flink

ClickHouse

AWS

GCP

Job description

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.

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.

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.

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.