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Azure Data Engineer - Insurance Firm – London – hybrid working

London
6 months ago
Applications closed

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Azure Data Engineer - Insurance Firm – London – hybrid working

Are you a talented Azure Data Engineer looking to join a prestigious insurance company? Our client, is a world-class insurance provider who are looking for an Azure Data Engineer with 3 years experience working in an end-to-end Data Engineering role with Azure Data Tools and frameworks.

THE COMPANY: They are a long-established insurance provider with over 200 employees. Their Head Office is near Liverpool Street in London and they have a number of international offices.

THE ROLE:

As a Data Engineer you will be:

  • Designing and maintaining their cutting-edge Data LakeHouse

  • Building and optimizing data pipelines

  • Creating powerful data visualizations and reporting dashboards

  • Driving data quality and governance initiatives

    AS THE PERFECT CANDIDATE YOU WILL HAVE:

  • 3+ years of hands-on Data Engineering experience

  • Strong SQL skills with Python/R capabilities

  • Experience with Azure data tools - Databricks / Data Lakehouse etc

  • Proven track record in data lakehouse management

  • Power BI expertise

  • It would be desirable fi you have experience in the Insurance or Financial Services Sector but this is not essential.

    This is a brilliant opportunity to grow your skills and career with a company that values its staff and offers great career progression with challenging and interesting projects.

    APPLY TODAY FOR IMMEDIATE CONSIDERATION

    Salary: £60,000 - £70,000 plus pension scheme (5% matched), Bupa healthcare, Life insurance, 26 days holiday + Bank Holidays and working hours of 09:15-17:00, with flexible working hours around remote-working as well.

    Location: Hybrid working 2 days a week in the office / 3 days from home – London – Liverpool Street

    N.B. – They do not offer visa sponsorship and will not consider applicants on short term visas

    #DataEngineering #TechJobs #London #Insurance #DataJobs #Hiring

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