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Senior Data Engineer

Greenfield Data Analytics | Permanent Role | Collaborative Culture| Azure | ETL | Data Lake | Hybrid Working | Global Organisation | SSIS

  • Combination of Cloud & On-Prem (Azure/ETL/Data Lake)
  • Work within a Greenfield Data Environment and Provide Technical Leadership
  • Showcase your Passion for Data Engineering

We are currently working with a global organisation that is one of the leaders in their industry domain and are in the initial stages of their data analytics journey. They are seeking an experienced and dynamic Senior Data Engineer to join their team and to take ownership of the data engineering function. This is a fantastic opportunity for an individual who has extensive ETL, On-Prem and Cloud experience to come into a greenfield environment and make a big impact.

This role reports directly into the Head of Analytics and will be instrumental in providing technical leadership to execute their data strategy.

Key responsibilities of this role are:

  • Take ownership of data engineering tasks and establish data flows between source systems (ERPs), the data lake, and the distributed analytical platform.
  • Create datasets for reporting, advanced analytics, and machine learning applications.
  • Design, build, and maintain data flows and ETL pipelines to support reporting and advanced analytics initiatives.
  • Optimise ETL processes to improve data quality and efficiency.
  • Implement monitoring and troubleshooting procedures for ETL pipelines to ensure reliable data transfer.
  • Develop and manage Azure cloud infrastructure and services.
  • Collaborate with technology teams, particularly ERP system engineers.

You will have worked across complex environments and have experience across:

  • Experience with complex enterprise environments involving multiple platforms and systems.
  • Capable of establishing and maintaining standards in data engineering.
  • Experience in architecture and design of data solutions.
  • Expertise in integrating ETL processes with a variety of different systems.
  • Proficiency in collaborating with key stakeholders, with a preferable understanding of finance concepts.
  • Experience in data warehousing and database development.
  • Experience in supply chain distribution is beneficial but not required.
  • A customer-focused attitude and a genuine enthusiasm for data engineering.

Our client is seeking an individual that wants to join their data analytics journey for the long term. They offer hybrid working and this role will requirement the successful applicant to be come into the office 2-3 days a week.

To be considered for this role, you must be an Australian Permanent Resident, an Australian Citizen or hold a Valid Working Permit
Aboriginals and Torres Strait Islander Peoples are encouraged to apply.
If this position is of interest to you, please click ‘Apply’ or you can just send your details to raed@konnexuscg.com.au or call Raed on 0432085020
Konnexus specialise in the recruitment of permanent and contract professionals within Data Analytics | Business Intelligence | AI | Machine Learning. If this role is not right but you are wanting a new position or a conversation about the market, please call us on 03 9052 5900 and we will pass you onto the right Consultant.

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