Job Description:
As a Senior Data Engineer, you will lead data-driven solutions to transform clients' landscapes and solve problems through the power of data. Your expertise in designing and maintaining scalable data models, establishing modern data platforms, and leading SQL-based data transformations will be essential.
You will help establish modern data platforms and integrate legacy systems into the new environment. Leading sql based data transformations using tools like dbt and Coalesce will be key. Develop and implement ETL/ELT pipelines for transforming raw data into structured datasets, end-to-end data engineering work (from source system integration to transformation and feeding into analytics platforms to deliver insights) and work closely with technical stakeholders throughout various projects.
Requirements:
* Expertise in designing and maintaining scalable data models
* Establishing modern data platforms
* Leading SQL-based data transformations
* Develop and implement ETL/ELT pipelines
* End-to-end data engineering work
Responsibilities:
* Help establish modern data platforms
* Integrate legacy systems into the new environment
* Lead sql based data transformations
* Develop and implement ETL/ELT pipelines
* Work closely with technical stakeholders
Benefits include the opportunity to upskill junior engineers and learn from capability leads to further develop your own skills. The role involves working across multiple projects and leading technologies, helping upskill the next generation of engineers. To be considered, you must be an Australian Citizen or Permanent Resident.