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Data Engineer job in Stockholm at Nigel Frank International

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Data Engineer på Nigel Frank International

Data Engineer

Nigel Frank International Stockholm, Stockholms län Heltid
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Does complex data, business analysis and modern technology interest you?

The data team for this global transport provider is growing, due to their need to be more data driven than ever before and they need the right people to help them achieve this.

Their mission is to optimise transport today and build a business model for autonomous truck transport solutions in the future. Since they are a subsidiary of one of the world's leading manufacturers of commercial vehicles, they work with some really complex and interesting data.

Your mission as the Data Engineer is to enable the organisation to be data-driven; the current challenge is to harmonise data and enable stakeholders to absorb the information and act on a global basis.

Their data platform is fully Azure based and the key technologies used in their data pipelines are Apache Spark (Scala), Azure SQL Server and Azure Data Lake Analytics. You aren't expected to have expertise or experience in all areas, but they do expect an open mind for learning and eventually be comfortable in several of them.

It's important for the team to have a strong understanding of automation as this is something that runs through the business and their internal team - an eye for automation in their environment and clever adoption of build and release pipelines is something that's highly valued.

This position offers you a high level of responsibility and control over internal data and analysis as you will be heading up all new and existing projects, in close collaboration with stakeholders and various teams across Europe.

The team are really close-knit and support knowledge sharing, with plenty of scope for personal progression. Some of the team have been there for several years and progressed from mid-level developers into more senior positions across the business - this is supported with certifications and conferences to enhance your learning.

Summary & requirements for this position:

  • Data engineering with a background in Scala development
  • Working with Apache Spark (Scala), Azure SQL Server and Azure Data Lake Analytics
  • High-level of responsibility across the team
  • Collaboration with stakeholders and various teams across the globe
  • Fun and supportive culture with social events and yearly trips away
  • Market-leading salary and benefits

Apply to this advert with your CV if you're interested in finding out more.

I am also available on +46 8-502 425 38 and [Click Here to Email Your Resumé], or you can find me on LinkedIn ( https://bit.ly/2TORgSb )

 

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Job ID: 11/06/21MMcDNFI