Senior Data Engineer (Snowflake/dbt)

Формат работы

hybrid

Тип работы

fulltime

Грейд

senior

Английский

Страна

Australia

Вакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:

TL;DR

Senior Data Engineer (Snowflake/dbt): Owning and evolving scalable data platform domains and fault-tolerant pipelines with an accent on Snowflake performance, dbt model architecture, and data quality. Focus on designing observable pipeline standards, driving incident root-cause analysis, mentoring engineers, and evaluating responsible AI tooling for augmented pipelines.

Location: Melbourne, Australia; hybrid working. Successful candidates must have full-time Australian working rights and complete a National Police Record check.

Company

hirify.global operates an online vehicle marketplace and is transforming its data platform to support customer-focused products, analytics, and decision-making.

What you will do

Own the reliability, quality, and evolution of a significant data platform domain built with Snowflake, dbt Cloud, RabbitMQ, Postgres, and GitHub Actions.
Lead Snowflake performance tuning and cost optimization through query profiling, micro-partition analysis, clustering, and warehouse configuration.
Design dbt model architecture, testing standards, incremental strategies, and best practices.
Architect scalable, fault-tolerant pipelines with standards for error handling, observability, and pipeline design.
Translate product, commercial, and analytics requirements into data engineering solutions and lead incident root-cause analysis.
Mentor engineers, conduct code reviews, and evaluate responsible, reliable, and auditable AI tooling for development and pipelines.

Requirements

Deep expertise in SQL and Snowflake, including clustering, pruning, warehouse sizing, result caching, Snowpipe, Streams, and Tasks.
Expert dbt Cloud experience with model architecture, testing standards, incremental strategies, and preferably MetricFlow or semantic layers.
Strong Python engineering practices for production-grade, testable, and maintainable pipeline code.
Experience with event-driven and messaging architecture, including RabbitMQ or an equivalent platform, routing, dead-letter queues, and producer/consumer design.
Production Postgres experience covering indexing, query optimization, MVCC, replication, and performance troubleshooting.
Knowledge of data governance, privacy, security, collaboration, and AI-assisted development with attention to quality, privacy, and cost.

Nice to have

Working proficiency in .NET and C# for reading, triaging, and maintaining existing pipeline code.
Exposure to MetricFlow or semantic layers.

Culture & Benefits

Hybrid work combining remote flexibility with in-person collaboration.
24 weeks of paid parental leave for primary caregivers, four weeks for secondary caregivers, and six weeks of paid gender-affirming care leave.
Regular hackathons, continuous learning opportunities, and wellbeing initiatives.
Flexible working arrangements, including part-time options by discussion.
Inclusive workplace with support for workplace adjustments and a commitment to responding to every applicant.

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