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1 день назад

Senior Analytics Engineer (Snowflake/dbt)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
UK/US/Australia +1 еще
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Senior Analytics Engineer (Snowflake/dbt): Building and scaling the internal analytics platform that supports Product, Finance, and GTM teams with an accent on data quality, reliable modelling, and self-service data products. Focus on owning Snowflake and dbt infrastructure, scaling ELT integrations, translating models into trusted business metrics, and enabling cross-functional decisions.

Location: Hybrid role based in either the Auckland or Sydney office

Company

hirify.global provides always-on brand tracking through large-scale consumer surveys, helping brands understand how people perceive them and their competitors.

What you will do

  • Partner with senior stakeholders across Finance, GTM, and Product to understand business decisions and build impactful data solutions.
  • Run and scale the core analytics platform based on Snowflake and dbt.
  • Own integrations with HubSpot, Subskribe, and the product database.
  • Build self-service data products that enable teams to answer their own questions.
  • Own data quality, reliability, and accuracy standards across the analytics platform.
  • Fix pipelines, unblock operational teams, and mentor junior colleagues as needed in a scale-up environment.

Requirements

  • 7+ years of experience in data.
  • Advanced SQL, dbt, and Snowflake experience.
  • Strong data-modelling judgement and the ability to own ELT pipelines and infrastructure end to end.
  • Ability to communicate with executives and non-technical stakeholders and explain the business impact of data models.
  • Experience using AI tools such as Claude Code, Cursor, or Copilot with sound judgement when verifying their output.
  • Bachelor’s degree or higher in Computer Science, Data Science, Information Technology, a related analytical field, or equivalent practical experience.

Nice to have

  • Experience modelling Finance or GTM data, including revenue, retention, or pipeline data.
  • Experience in a B2B SaaS startup or scale-up.
  • Experience building or contributing to a semantic or metrics layer.

Culture & Benefits

  • Transparent compensation framework, competitive market-rate salaries, annual compensation reviews, and rolling promotions.
  • Employee equity through an ESOP program.
  • Six weeks of paid leave, an annual wellness bonus, and access to EAP services.
  • Twelve weeks of paid parental leave for all parents, IVF support, and a phased return to work.
  • $1,000 annual learning and development budget.
  • Office-first environment with flexibility in how working time is managed and pet-friendly offices.

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