0  Jobs in City of London

  • Salary: £400 to £450 pd
    Location: city of london, london
    Nigel Frank International are recruiting a Microsoft BI Analyst for a Utilities company in Central London. The contract is an initial 2 month proof of concept with a possible extension
  • Data Engineer

    Date Posted: 25th July 2017

    Salary: Salary Negotiable
    Location: london
    Help design the overall distributed data pipeline architecture for processing data from Kafka / S3 and loading it into our Redshift DWH
  • Senior Big Data Engineer

    Date Posted: 23rd July 2017

    Salary: Salary Negotiable
    Location: london
    As a Senior Big Data Engineer you will help develop and support market leading business intelligence solutions in an agile product team that gives comparethemarket.com a competitive advantage in our wide range of products.
  • Salary: Salary Negotiable
    Location: london
    We are looking for a skilled and motivated individual with a strong background in data warehousing and BI projects who can work closely with the existing team, leading the analysis work stream across our project and change portfolio.
  • Salary: £300 to £400 pd
    Location: city of london, london
    Nigel Frank International are recruiting a Microsoft BI Developer for an established retail client. Contract length 6 months.
  • BI Developer - MSBI

    Date Posted: 7th July 2017

    Salary: £35,000 to £40,000 pa
    Location: london, city
    A BI Developer is required for our prestigious client based in Central London. They are seeking to expand their BI team with the addition of a Microsoft BI developer with experience across the MS BI stack including SSIS, SSRS, and Power BI.
  • Senior SQL DBA

    Date Posted: 7th July 2017

    Salary: £55,000 to £70,000 pa
    Location: london
    Outstanding SQL DBA required for prestigious organisation in Central London.
  • Data Scientist - Digital Analytics

    Date Posted: 29th June 2017

    Salary: £56,000 to £65,000 pa
    Location: london
    We’d build on your background in data science, data engineering or computer science and further develop you in a set of highly sought-after, transferable, skills, whilst rotating you periodically across the breadth of teams and functions
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