W1siziisimnvbxbpbgvkx3rozw1lx2fzc2v0cy9qaw9uzwvyifnlyxjjac9qcgcvymfubmvylwltzy0xlmpwzyjdxq

Live Vacancies

Data Engineer

  • Location

    City of London, London

  • Sector:

    Data & Analytics

  • Job type:

    Permanent

  • Salary:

    Up to £70000.00 per annum + +REMOTE

  • Contact:

    Sarah Hanna

  • Contact email:

    sarah@pioneer-search.com

  • Job ref:

    BBBH3397_1658496038

  • Published:

    20 days ago

  • Expiry date:

    2022-07-29

  • Consultant:

    #

Data Engineer: Azure, SQL, Python, ETL, Databricks, Data Factory, Synapse

Data Engineer to join an InsureTech disrupter with the backing of a multi- billion-pound organisation. This cloud first digital organisation is 3 years into their journey, £2bn of sales and breaking all the rules in for a traditional industry. With a presence in London you will have an office, but can opt to be fully remote

As a proven Azure expert, data engineering techniques and Python/C# coding, the successful Data Engineer will help build and improve the central data storage system at the heart of this greenfield organisation.

Disrupting the Insurance sector with tech should excite you and you will need to be well versed in managing a wide range of data sources within an Azure Cloud Platform. In conjunction to this, you will work in close proximity to the Data Science and Analytics team- all in a fully remote role!

Responsibilities:

  • Build and maintain core data system, data pipelines and data models.
  • Support Data Science and Analytics teams
  • Ability to mentor and forge strong relationships with junior members of the team
  • Assist Development team to design and deliver data- centric projects
  • Desire for continuous improvement in Azure cloud, data storage and modelling

Requirements:

  • Extensive experience with Azure Data Storage Technologies
  • Demonstrate knowledge of database structures ( SQL server, RDMS, No SQL)
  • Strong understanding of Python/C# coding P
  • Proven experience with ETL processed (Data Factory, Synapse, Databricks)
  • Understanding of Rest API technologies

Data Engineer: Azure, SQL, Python, ETL, Databricks, Data Factory, Synapse