Build a greenfield real-time event-streaming platform using Kafka, Flink, and ClickHouse for segmentation and targeting at scaleSet the technical direction for the platform as products scaleOwn warehouse datasets and transformations end to end using BigQuery, dbt, SQL, and PythonEstablish data quality, testing, and observability standards across streaming and batchTune systems for cost and latency as data volumes scaleRaise engineering standards through code review, mentoring, and reusable team patternsIncorporate AI into personal workflows and the platform, including coding agents and automated quality checksSupport Immutable Audience's data lifecycle from ingestion and transformation through modelling and delivery to internal and external customersRequirementsStrong, hands‐on data engineering fundamentals: pipelines, modelling, correctness, scale, and failure modesStrong SQL and Python, used daily in productionExperience designing, building, and scaling production data pipelines end to endDepth in the modern batch stack: dbt, an orchestrator, and a cloud warehouseData modelling skills for analytics and product use cases at scaleExperience with event data at billions‐of‐rows scaleExperience with AWS or GCP and infrastructure-as-codeData quality and observability mindset, including testing, monitoring,



and alertingTrack record of setting technical direction through architecture decisions and mentoring senior engineersAbility to explain data trade-offs to non-technical stakeholdersStrong ownership and pragmatic judgmentComfort with ambiguity and shifting prioritiesBonus: production streaming systems experience with Kafka and Flink, ideally with ClickHouseBonus: gaming, adtech, or martech event-data backgroundBonus: using AI to multiply output and improve team AI fluencyCore CompetenciesDemonstrates expertise in building and scaling real-time event-streaming platforms using Kafka, Flink, and ClickHouse, while ensuring data quality and observability.
Proficient in SQL and Python for data engineering, with a robust focus on data lifecycle management and technical direction.Highest-signal resume keywordsKafka Event StreamingFlink Stream ProcessingSQL Data EngineeringPython ProgrammingData Quality and ObservabilityATS Optimization KeywordsHard SkillsData Pipeline DesignData ModellingBigQueryDbtCloud WarehouseEvent Data ManagementInfrastructure-as-CodeTesting and MonitoringData TransformationCost and Latency OptimizationSoft SkillsOwnershipPragmatic JudgmentCommunication with Non-Technical StakeholdersMentoringComfort with AmbiguityIndustry KeywordsGamingAdtechMartechEvent DataData LifecycleTools & TechnologiesAWSGCPClickHouseOrchestratorAI Integration
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📌 Lead Data Engineer (Victoria)
🏢 Jobtailor
📍 Victoria