Data Engineering Strategist

1 day ago


Sydney, New South Wales, Australia Correlate Resources Full time

We are Correlate Resources, a reputable recruitment agency connecting businesses with talented professionals. Our current job opening is for a seasoned Data Engineering Lead who can spearhead our client's data-driven initiatives.

Job Description:
  • Data Engineering Strategist - Design, develop and optimise data platforms
  • Solution Design and Delivery - Deliver cutting-edge projects leveraging NoSQL, Cloud, and Python

This role involves taking on a lead position within the team, providing thought leadership, technical troubleshooting, best practice Data Engineering, business engagement, project pipelining, and project delivery. The successful candidate will lead engagement with Business Analysts, Developers, and other stakeholders to map data-driven project requirements, understand strategic initiatives around business insights, identify key data assets, KPIs, and insights to be gleaned.

Responsibilities:
  1. Design, develop and optimise back-end NoSQL and Python-related data platforms for ongoing business insight-related projects
  2. Create SQL data marts, automate SQL/Python data feeds, and optimise SQL/Python code
  3. Support analytical initiatives around customer engagement, customer experience, category planning, supply chain optimisation, micro/macro store planning, special analysis, product performance, and ranging
Requirements:
  • Experience working in a technical lead capacity on Data Engineering initiatives
  • End-to-end Data Architecture expertise
  • Strong technical proficiency in NoSQL and Python to manage, manipulate, and automate complex data feeds
  • Experience working within a Cloud environment (Azure advantageous)
About the Role:

The estimated annual salary for this position is $150,000-$180,000 AUD, depending on experience. To be successful, you must be a seasoned Data Engineer with strong technical skills, excellent communication, and leadership abilities. If you're passionate about driving business outcomes through data engineering, we'd love to hear from you.



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