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Lead Data Engineer

Immutable
Sydney, AUS
Full-time
Senior
Hybrid
Discovered 2 weeks ago
ClickHousedbtSQLPython
Free

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ClickHousedbtSQL
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  • 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
  • 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

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