Data Engineer

2020-10-09 14:34:592020-11-21 KnownFour
Job Type Permanent Full TimeTemporary / Contract
Area , United Kingdom Not specified United Kingdom
Sector Life Insurance
Salary Competitive
Start Date ASAP
Job Ref bh-7215
Job Views 144

Data Engineer - London or Bournemouth

Our client is an award winning, dynamic and vibrant financial services provider. Due to promotion they have a vacancy for a data engineer to work in either their London or Bournemouth office. The role offers a combination of work from home and office based.


The Data Engineer role will be responsible for delivering the underlying data and APIs to support the implementation of innovative machine learning applications. You will enjoy working with rich datasets, cutting edge technology and help shape new data science projects in an innovative company.  The right candidate will possess a desire to work in fast-paced environment, with the ability to consistently deliver exceptional results on demanding timelines. 


  • Work with Data Scientists to implement robust and trustworthy data to support high performance
  • algorithms and predictive models
  • Deploy and maintain machine learning models as APIs for use in our live environments
  • Employ a variety of languages and tools (e.g. scripting languages) to develop and manage
  • robust data pipelines connecting various systems
  • Develop datasets and processes that facilitate data modelling, mining and production
  • Provide clean, usable data to data scientists and recommend ways to improve data reliability, efficiency and quality
  • Research opportunities for data acquisition and new uses for existing data
  • Work collaboratively with the Data Science, Data Architecture and other IT delivery teams to design, construct, install, test and maintain highly scalable data management systems.



  • Bachelor’s degree in Information Technology/Systems/Sciences/Maths
  • Strong experience in business intelligence, data warehousing, data management and data delivery, database and ETL technologies
  • Experience using languages / tools / databases such as SQL and NoSQL, Python, Nifi, Docker.
  • Strong technical experience in designing and delivering data in BI warehouse and/or Big Data Lakes, supporting on premise and cloud architecture
  • Microsoft SQL Server technologies
  • Hands-on/technical experience with high proficiency on Big Data technology and toolsets
  • Experience developing, deploying and maintaining machine learning APIs – using flask and java springboot
  • Experience working with data scientists or quantitative / statistical analysts
  • Experience working with AWS EMR


  • Prior experience on Big Data appliances like Hadoop.
  • Prior experience in using Agile methodology
  • Understanding of data architecture & modelling
  • Previous insurance or financial services industry experience
  • Open Source ETL tools (Jupyter, Spark)

Please send your CV to apply for this position




Apply Later
Sign in
Similar Jobs
Email Me Jobs Like This
Subscribed to similar jobs notifications


Company name*
  • 16 Upper Woburn Place
    WC1H 0BS
  • +44 (0)203 793 0444
We use cookies to provide you with the best possible browsing experience on our website. You can find out more below.
Cookies are small text files that can be used by websites to make a user's experience more efficient. The law states that we can store cookies on your device if they are strictly necessary for the operation of this site. For all other types of cookies we need your permission. This site uses different types of cookies. Some cookies are placed by third party services that appear on our pages.
Necessary cookies help make a website usable by enabling basic functions like page navigation and access to secure areas of the website. The website cannot function properly without these cookies.
Resolution Used to ensure the correct version of the site is displayed to your device.
Session Used to track your user session on our website.

More Details


jFinalizer Error 100: cannot create cache path: /home/knownfour/public_html/cache/assets/