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Senior Sales Engineer - Retail Industry

Closing date
23 Feb 2021

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Technology & New Media
Contract Type
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Job Details

Location: Home Office / Remote (must live in the UK)

Package: 100,000 basic salary + OTE / Bonus (20-30% of basic)

8k Car allowance

Excellent employee benefits

Most importantly, share options! :)

About the client:

Our client is an incredibly exciting software company in Europe and a global industry leader in Big Data and Analytics. They are a major vendor in Hybrid Cloud and Data Analytics

The role:
  • To act as a trusted advisor for their prospects and clients throughout the sales cycle - from the design of architecture, demonstrating and positioning value for prospects, use cases or by connecting partners
  • Using strong technical expertise and your hands-on nature, you'll excel in proof of value/proof of concepts and work alongside their sales and partner teams
  • Conduct technical presentations and demos, highlight most important/valuable product features for prospects, sometimes also utilizing tools from the Business Intelligence /Data Warehouse and or Big Data ecosystems.

Your profile:
  • Experience in a similar role working with Retail clients (solution architecture for clients in the retail industry)
  • You have a wealth of experience in a Pre-Sales role, alternatively in a technical post-sales role or as a BI / DWH consultant
  • Experience working on large accounts is desirable but not essential
  • You have a solid understanding of modern data architectures and the cloud ecosystem including ETL to BI/analytics
  • Adept with SQL/Data Warehousing and experience with at least one other programming/script language
  • Customer-facing experience, happy presenting
  • Enterprise level presentations to both technical and non-technical crowds

Your Skills:
  • Retail Industry Experience
  • MPP database experience
  • experience in ETL / ELT
  • Computer Science background is nice to have
  • Programming experience with Python, Java, Bash, R, or C++
  • Cloud environment experience (AWS, Microsoft Azure, GCP)
  • Experience with Hadoop / Spark
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