Data Engineer

  • Salary:£550 - £650
  • Location:London, England, United Kingdom
  • Job Type:Contract, Full time
  • Company:Alexander Ash Consulting
  • Updated on:16 Nov 17

My client a leading asset manager with operations all over the globe is currently recruiting for a Data engineer to join them on a contract basis in London. You’ll collaborate with data scientists to create pipelines of information for the firm’s investors. Whilst the data scientists test hypotheses and unravel the meaning within the data, the data engineer will build the systems that bring data in-house and develop the software that puts insights in the hands of the investors.

Client

My client a leading asset manager with operations all over the globe is currently recruiting for a Data engineer to join them on a contract basis in London. You’ll collaborate with data scientists to create pipelines of information for the firm’s investors. Whilst the data scientists test hypotheses and unravel the meaning within the data, the data engineer will build the systems that bring data in-house and develop the software that puts insights in the hands of the investors.

 

Skills

  • Python
  • SQL
  • Bash Scripting, Linux – ideally Red Hat (RHEL)
  • Hadoop
  • Ability to take on and assimilate new ideas, assess the technology landscape and identify useful solutions, creative thinker.
  • Delivery-oriented

 

Responsibilities

  • This is a hands on role, building data pipelines and productionising advance analytics
  • The person will ideally have strong technical skills in broad variety of data technologies across the stack including: Hadoop (HDFS/Hive), Python, SQL, R
  • Define and manage best practice in configuration and management of the data store. Ensure that all data and systems are managed with the highest regard for data security and upholding of client obligations to the vendors who license data to us.
  • Work with IT to align as closely as possible with the rest of the business, whilst still ensuring that the data scientists are able to innovate, research, and act with agility.
  • Work with Data & Insights Technology colleagues to create and optimise ETL and data enrichment processes to maximise the usefulness of data for a variety of purposes. Includes working out how best to ingest new data sources from new vendors, and where possible directly engaging with the vendor to improve their service