Senior Data Engineer

Visa Hunt

Australia

Remote

AUD 150,000 - 190,000

Full time

14 days+

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Benefits offered by this job

Flexible remote work

Wellbeing leave

Paid parental leave

Employee assistance program

Leadership development

Job summary

Equiem, a global technology company in the real estate sector, is seeking a Senior Data Engineer. You will own end-to-end data pipelines, design scalable data models, and shape a warehouse powering reporting, BI, and AI features.

You will ensure data quality, cost efficiency, and maintainability while collaborating with product, analytics, and customer success teams to translate needs into robust dbt marts. This role offers flexible remote work across Australia.

Qualifications

Production data pipelines experience, ideally event-driven or streaming.
Strong SQL and dbt experience.
Familiarity with AWS data services: S3, Athena, Glue, Lambda, Kinesis, SQS, SNS, Opensearch.
Proficiency in Python or TypeScript/Node.js for pipeline code.
Experience with AWS CDK.
Strong instinct for data quality: write tests and treat unvalidated data as a bug.
Clear communication about schema decisions and pipeline tradeoffs.

Responsibilities

Design, build, and maintain data pipelines spanning ingestion, streaming, storage, and transformation.
Lead or contribute to data model and architecture decisions across the data platform.
Build and evolve Glue ETL jobs and dbt model layers.
Ensure pipeline correctness with exactly-once delivery and schema migrations.
Implement data quality assertions and monitor pipeline health.
Collaborate with product, analytics, and customer success to translate needs into dbt marts.

Skills

Data pipelines

SQL & dbt

AWS data services

Python/TypeScript

AWS CDK

Data quality & testing

Schema design & tradeoffs

Tools

dbt

Glue

Kinesis

Athena

Opensearch

Parquet/columnar storage

BI tools (Metabase/QuickSight)

Job description

About the Role

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.

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.

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

What You'll Do

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

What We're Looking For

Essential

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

Nice to Have