W1siziisimnvbxbpbgvkx3rozw1lx2fzc2v0cy9qaw9uzwvyifnlyxjjac9qcgcvymfubmvylwltzy0xlmpwzyjdxq

Live Vacancies

Data Engineer

  • Location

    London, England

  • Sector:

    Data & Analytics

  • Job type:

    Permanent

  • Salary:

    £50000.00 - £70000.00 per annum

  • Contact:

    Sarah Hanna

  • Contact email:

    sarah@pioneer-search.com

  • Job ref:

    BBBH3342_1652343047

  • Published:

    4 days ago

  • Expiry date:

    2022-05-19

Data Engineer - GCP, AWS, Azure, Python, SQL, ETL, Java, R

We are working with a multi-billion pound e-commerce platform that is looking to build a new fully-remote Data and Analytics team to work in a cloud-first environment. They are looking for talented Data Engineers to join an Agile environment where your experience will enable the organisation to build out new ETL pipelines, analytics and reporting capabilities.

This role will suit an individual who is comfortable in a remote working environment, has a creative approach to solving GCP, cloud-based data challenges and is skilled in Python and SQL. You'll be excited to learn new techniques and processes and thrive in an environment where cross-skilling is encouraged.

Whilst extensive team collaboration will be ongoing, this is a remote role and applicants should be comfortable working in this environment.

Responsibilities:

  • Work on a brand new data cloud platform to increase effectiveness of its analytic performance
  • Make improvements to ETL pipeline and enhance processes
  • Collaborate with wider departments to identify new opportunities for development
  • Train end users on new services and platforms
  • Become SME of new data cloud platform

Requirements:

  • Cloud experience required, ideally in GCP
  • Exposure to Big Data sets within financial services - insurance domain would be a significant advantage
  • Extensive knowledge of Python and SQL
  • Inquisitive and interested in continuous learning and development
  • Strong communication and interpersonal skills

Data Engineer - GCP, AWS, Azure, Python, SQL, ETL, Java, R