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24 часа назад

Data Analytics Engineering Manager (AI)

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

Текст:
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TL;DR
Data Analytics Engineering Manager (dbt/Databricks/Tableau): Building scalable data models, data products, and self-service analytics capabilities for a home improvement marketplace with an accent on data architecture, governance, and technical leadership. Focus on defining data contracts, improving pipeline and query performance, and leading analytics engineering practices across the data community.

Location: Sydney, New South Wales, Australia; hybrid working model

Company

hirify.global is an ASX-listed Australian technology company operating a digital marketplace that connects households with home improvement businesses.

What you will do

  • Lead, mentor, and line-manage a team of analytics engineers while setting analytics engineering standards across the wider data community.
  • Architect and implement scalable, high-performance data models and data products using dbt and Databricks.
  • Provide technical leadership across the Databricks and Tableau business intelligence landscape and enable self-service analytics.
  • Define and enforce data contracts between software engineering producers and downstream data models.
  • Drive data quality, governance, service levels, documentation, pipeline lineage, and analytical workflow consistency.
  • Optimize query execution, data pipelines, and platform capabilities while applying CI/CD, Git, and automated testing practices.

Requirements

  • Bachelor’s degree in Computer Science, Statistics, Mathematics, Physics, Economics, or a related quantitative field, or equivalent experience.
  • Advanced SQL and deep experience designing scalable data architectures, including dimensional modeling or Data Vault.
  • Hands-on mastery of dbt and experience with AWS, GCP, or Azure.
  • Experience defining, enforcing, or implementing data contracts and managing producer-consumer interfaces.
  • Experience developing and governing semantic layers in AI and BI tools such as Tableau.
  • Proven people-management, communication, conflict-resolution, prioritization, and cross-functional alignment skills.

Nice to have

  • Experience with two-sided marketplaces, network metrics, or high-velocity event-driven data ecosystems.
  • Experience partnering with data science teams on feature stores, Airflow or Databricks Workflows, and machine learning model deployments.
  • Interest or experience in preparing data for AI and LLM consumption.

Culture & Benefits

  • Hybrid working model with a Sydney CBD office near Town Hall and Gadigal Stations.
  • Competitive salary, benefits, perks, and equity through the Employee Share Program.
  • Talent development, mentoring, workshops, coaching, and stretch projects.
  • Cross-functional collaboration across Product, Engineering, Marketing, Commercial, and Data teams.
  • Extra leave, including birthday and volunteering leave, plus team events, hackathons, and off-sites.
  • Inclusive and supportive culture with diverse collaborative teams.

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