Data Engineer

Data Engineer


A market leading specialty insurance group is looking for a Data Engineer with Machine Learning experience.

You will help teams across the company globally enhance their decision making and efficiency by shaping the development & growth of Data Analytics, evolve our data governance approach and support the needs of all stakeholders.

Main Responsibilities:

  • Identify, capture, cleanse, wrangle & label data.
  • Optimise features & develop insightful visualisations & support predictive modelling
  • Setup and monitor data pipelines & create API’s

Main Requirements

  • 3 to 5 years of practical experience successfully engineering data in a commercial entity, improving their effectiveness and efficiency as a result
  • Effective capture & transformation of un/semi-structured data into tangible assets.
  • Proficient in setup and monitoring of data pipelines
  • Strong SQL user (preferably in a distributed computing environment like Hadoop)
  • Development experience with R or Python
  • Good experience using NLP
  • Proficiency in data visualisation tools (Arcadia, Tableau and Power BI or similar) 
  • Comfortable accessing open, social media and third-party data in various formats including JSON, XML.
  • Competent utilising a range of API’s for different purposes.
  • Understands the data classification and security controls required within a regulated environment
  • Helps colleagues understand the benefits and differences of big data approaches & enables them to make the transition easily.
  • Appreciates the types of database technologies & tools