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Data Engineer

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  • Location:


  • Sector:

    Technology & Digital

  • Job type:


  • Salary:

    £51000 per annum

  • Contact:

    Jeffrey Barr

  • Email:

  • Contact phone:

    02920 220078

  • Job ref:


  • Published:

    6 days ago

  • Expiry date:

    04 September 2022

  • Start date:

    2022-08-04 00:00:00

Junior – Mid Data Engineer – Up to £51,000 – Remote Working – Sector: Finance – 2 stage virtual interview – GREEN FIELD PROJECT – Great opportunity to learn / develop SNOWFLAKE and AZURE experience – Excellent benefits
Yolk Recruitment are recruiting for a Junior – Mid level Data Engineer to join an exciting new project with a long established and successfully financial company. You will be working with a small team of skilled data engineers to build a brand-new cloud-based platform using Azure and Snowflake. This is an exciting opportunity for a data engineer to learning new skills in snowflake and azure. You will be part of a new green field platform were your knowledge and ideas will influence the development of the project.
  • Use a range of modelling techniques and technical skills to solve data engineering tasks that areas in the brand-new cloud platform
  • Support the translation of data into valuable insights that inform decisions, alongside resources from architecture, governance, analytics and business product owner communities
  • Working with the Platform Lead and Lead Data Engineer to develop the technical vision for our data platform, and supporting the development of an effective and fully functioning DataOps capability
  • Idea generation, you will have the chance to influence the direction of this brand-new cloud platform (excellent learning opportunity)
Core Skills:
  • Strong SQL experience
  • Strong python experience
  • Experience working with ETL pipelines
  • Experience working with R
  • Some experience with data reporting tools (Power BI, Tableau or Looker)
Desirable Skills:
  • Any previous experience working within a cloud-based environment (Azure, snowflake, AWS, GCP or IBM)