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Data Engineer Roles

3 months ago


Council of the City of Sydney, Australia Publicis Groupe Full time

Location: Sydney orMelbourne or Brisbane

Data Engineer (also known as BI Developer, Quantitative Data Engineer, SearchEngineer, Technical Architect, Big Data Analyst, Solutions Architect, Data WarehouseEngineer, Data Science Software Engineer, ETL Developer)

The role of the DataEngineer is to work alongside solution architects, data analysts & datascientists to deliver various aspects of the marketing technology ecosystem.The Data Engineer is responsible for engaging machine learning techniques tocreate and sustain structures that allow for the analysis of data whilstremaining familiar with dominant programming and deployment strategies. Data engineering experience is critical, as well as knowledge ofdata warehousing, ETL strategies and tools, and BI tools. Experience in cloudplatforms such as Azure, AWS and GCP is beneficial.

·Anticipating and mitigatingdelivery risks and following issues through to closure

·Advocating for data managementmethodologies and processes on all projects

·Assuming responsibility fordata quality, ensuring that testing is carried out in a rigorous fashionresulting in production of high-quality deliverables

·Adopting a flexible approach tocompleting workload to ensuring timely delivery and reinforcing commitment todelivery and quality within the technical team, including offshore developmentcentres

·Creating and managing therelevant technical design documentation and ensures the documents completenessand accuracy

·Ensuring that data architectureis implemented according to the design

·Ensuring solutions delivereduse existing standards and frameworks

·Contributing to businessdevelopment efforts through accurate project scoping, estimating and attendingsales calls when required

·Collaborating with globallydispersed teams on international projects.This includesco-ordinating build activities with offshore development centres in India andAsia Pacific

·Remainingup-to-date with industry standards and technological advancements that willimprove the quality of your outputs.

·All of the above roles require a relevant tertiary qualificationor a minimum of 5 years of relevant experience in lieu of qualification.

·Provenexperience as a data engineer, software developer, or similar.

·Expertproficiency in Python, C++, Java, R, and SQL.

·Excellentanalytical and problem-solving skills.

·Works wellindependently but also a team player and able to work collaboratively

·Scrupulousapproach to duties.

·Strong presentation and writtencommunication skills, with ability to communicate technical concepts tonon-technical colleagues and clients

·Experience developing dataprocessing and analytics solutions in a digital agency or IT consultancy aspart of a multi-disciplinary team

Salary- over threshold

#LI-DNI

Data Engineer

Trading underPublicis Communications

Location: Sydney orMelbourne or Brisbane

Data Engineer (also known as BI Developer, Quantitative Data Engineer, SearchEngineer, Technical Architect, Big Data Analyst, Solutions Architect, Data WarehouseEngineer, Data Science Software Engineer, ETL Developer)

The role of the DataEngineer is to work alongside solution architects, data analysts & datascientists to deliver various aspects of the marketing technology ecosystem.The Data Engineer is responsible for engaging machine learning techniques tocreate and sustain structures that allow for the analysis of data whilstremaining familiar with dominant programming and deployment strategies. Data engineering experience is critical, as well as knowledge ofdata warehousing, ETL strategies and tools, and BI tools. Experience in cloudplatforms such as Azure, AWS and GCP is beneficial.

Data EngineerResponsibilities:

·Anticipating and mitigatingdelivery risks and following issues through to closure

·Advocating for data managementmethodologies and processes on all projects

·Assuming responsibility fordata quality, ensuring that testing is carried out in a rigorous fashionresulting in production of high-quality deliverables

·Adopting a flexible approach tocompleting workload to ensuring timely delivery and reinforcing commitment todelivery and quality within the technical team, including offshore developmentcentres

·Creating and managing therelevant technical design documentation and ensures the documents completenessand accuracy

·Ensuring that data architectureis implemented according to the design

·Ensuring solutions delivereduse existing standards and frameworks

·Contributing to businessdevelopment efforts through accurate project scoping, estimating and attendingsales calls when required

·Collaborating with globallydispersed teams on international projects.This includesco-ordinating build activities with offshore development centres in India andAsia Pacific

·Remainingup-to-date with industry standards and technological advancements that willimprove the quality of your outputs.

Data EngineerRequirements:

·All of the above roles require a relevant tertiary qualificationor a minimum of 5 years of relevant experience in lieu of qualification.

·Provenexperience as a data engineer, software developer, or similar.

·Expertproficiency in Python, C++, Java, R, and SQL.

·Excellentanalytical and problem-solving skills.

·Works wellindependently but also a team player and able to work collaboratively

·Scrupulousapproach to duties.

·Strong presentation and writtencommunication skills, with ability to communicate technical concepts tonon-technical colleagues and clients

·Experience developing dataprocessing and analytics solutions in a digital agency or IT consultancy aspart of a multi-disciplinary team

Salary- over threshold

#LI-DNI

Summary of role requirements:
  • Flexible hours available
  • More than 4 years of relevant work experience required for this role
  • Working rights required for this role
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