GCP Data Engineer -contract

  • Job Reference: 0000005899
  • Date Posted: 2 December 2019
  • Recruiter: careerwise
  • Location: London
  • Salary: £450 to £500 Per Day
  • Sector: I.T. & Communications
  • Job Type: Contract
  • Duration: 6 months +
  • Work Hours: Full Time

Job Description

GCP Data Engineer

£500 per day

Initial 6 months (extensions likely)


We are working with a Global IT Consultancy who are looking for a GCP Data Engineer to assist an important client based in the City in the building of a bespoke Simulation Engine based on various complex Data sources.

The work:

  • Solve complex analytic challenges using analytic algorithms and AI
  • Design, build and deploy predictive and prescriptive models using statistical modeling, machine learning, and optimization
  • Find ways to turn goals into products that use specific analytic tools to help clients
  • Use structured decision-making to complete projects.
  • Work out the best way to complete Enterprise Data & Analytics projects


  • Strong quantitative and analytical skills with minimum of 2 years of experience in data science tools, including Python, R
  • At least 2 years of implementing and delivering projects using CI/CD rigor and tools such as git, Jenkins, docker, Kubernetes, Kubeflow Pipelines, etc.
  • At least 2 years of experience in data science and use of statistical methodologies
  • At least 2 years of experience in machine learning methods, including familiarity with techniques in clustering, regression, optimization, recommendation, neural networks, and other

Bonus points if:

  • At least 1 year of designing and implementing data engineering, ingestion and curation functions on GCP cloud using GCP native or custom programming
  • Google Cloud Platform data engineer certification a big plus
  • At least 1 year of experience in architecting large-scale data solutions, performing architectural assessments, crafting architectural options and analysis, finalizing preferred solution alternative working with IT and business stakeholders
  • Bachelor's degree in data science or related disciplines such as mathematics, statistics, computer science, physics, or related fields. Master's degree preferred