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Senior Data Warehouse Engineer (Analytics) at Airtasker

in Sydney, NSW

Job description

Airtasker is a fast-growing online and mobile marketplace for local services and temporary labour. We are revolutionising the way people and businesses get more done by connecting real time labour requirements with one of the world's most underutilized assets - people power. Airtasker has big ambitions and recently raised $33M worth of funding as we go international, with UK being the first country to plant our flag! We are building a talented team with opportunities to make a real impact in a hyper-growth and solutions-oriented startup workplace.

 

We are currently hiring for a newly created position focussed on data warehouse engineering and analytics. This role will sit within our growing data team, and will be critical to setting up a commercially focussed analytics function. You will have the opportunity to leverage cutting edge tools, such as Snowflake and DBT, to challenge current approaches to data warehousing. This role will be pivotal to the business as Airtasker takes on new markets.


Responsibilities

  • Designing and implementing star schema data models in our existing data warehouse
  • Designing reports and dashboards that ensure end users’ reporting needs are met
  • Mentoring and guiding less experienced data engineers in the craft of data warehousing (analytical data engineering)
  • Prioritising based on commercial outcomes while managing stakeholders on the same priorities

Essentials

  • Advanced understanding of SQL
  • Strong data model design skills, and fluency with Kimball data modelling methodology
  • Experienced data warehousing practitioner

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