Job Description

About the Role

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Equiem is an established global technology company operating within the real estate sector. We build products that transform the tenant experience and streamline property management. Our teams are cross-functional, made up of engineers, product managers, and designers, working together to deliver impactful solutions.

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As a Senior Data Engineer you'll own meaningful chunks of our data platform end-to-end designing pipelines, making architectural decisions, evolving data models, and working closely with product and analytics teams. We're building something ambitious: a data warehouse that powers reporting, BI, and AI-powered features.

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You care about data quality, pipeline correctness, cost efficiency, and building things the next engineer can maintain and extend.

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What You'll Do

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- Design, build, and maintain data pipeline components spanning ingestion, streaming (Kinesis), storage (S3), and transformation (dbt, Glue).
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- Lead or contribute to data transformation layer re-architecture a rare opportunity to shape how data flows across an entire suite.
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- Build and maintain Glue ETL jobs and evolve dbt model layers (staging, intermediate, mart).
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- Ensure pipeline correctness with exactly-once delivery, deduplication logic, and schema migration management.
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- Implement data quality assertions and monitor pipeline health proactively.
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- Partner closely with product managers, analysts, and customer success to translate needs into well-modeled dbt marts.
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What We're Looking For

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Essential

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- Strong hands-on experience building and operating production data pipelines ideally event-driven or streaming.
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- Solid SQL skills and meaningful dbt experience.
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- Familiarity with AWS data services: S3, Athena, Glue, Lambda, Kinesis, SQS, SNS, Opensearch.
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- Proficiency in Python or TypeScript/Node.js for pipeline code.
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- Experience with AWS CDK.
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- Strong instinct for data quality: you write tests and treat unvalidated data as a bug.
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- Explicit communication about schema decisions and pipeline tradeoffs.
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Nice to Have

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- Experience migrating or re-architecting a data warehouse
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- Exposure to PII handling and compliance frameworks (SOC2, GDPR)
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- Experience building customer-facing data export or API products
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- Background in B2B SaaS analytics or PropTech
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- Familiarity with Metabase, QuickSight, or similar BI tooling
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- Experience with parquet and columnar storage optimization
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Why You'll Love It Here

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Clear path from Senior to Lead Data Engineer with opportunity to shape Equiem's data engineering discipline

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Flexible remote work, wellbeing leave, paid parental leave, EAP, leadership development

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Originally posted on Himalayas

📌 Senior Data Engineer (Perth)
🏢 Visa Hunt
📍 Perth