DATA ENGINEER

  • Full Time
  • London
  • Salary Guide: £30,000 - £65,000

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Ubiquity Press Limited

As a Data Engineer in the Operations team, you'll be responsible for building, maintaining, and running reusable metadata and file migration workflows... Role: Data Engineer, Category: IT & Telecoms, Size: 11-50

DATA ENGINEER: Ubiquity Press Limited

As a Data Engineer in the Operations team, you’ll be responsible for building, maintaining, and running reusable metadata and file migration workflows for repositories journals, presses, and conferences moving to Ubiquitys platform. You’ll create and automate ETL pipelines, develop custom content reports, and support data-driven activities across the company. This role offers the opportunity to work with a dynamic team and make a significant impact on how our data is managed and leveraged to drive decision-making.

Position: Data Engineer
Location: London
Hours: Full Time
Salary Guide: £30,000 – £65,000
Last Updated: 30 August 2024
Job Category: IT & Telecoms

Data Engineer Role:

Analyze and organize raw data . Build data systems and pipelines. Evaluate business needs and objectives. Interpret trends and patterns. Conduct complex data analysis and report on results . Prepare data for prescriptive and predictive modeling. Build algorithms and prototypes. Combine raw information from different sources. Explore ways to enhance data quality and reliability. Identify opportunities for data acquisition. Develop analytical tools and programs. Collaborate with data scientists and architects on several projects.

Other Duties:

  • Analyze and organize raw data 
  • Build data systems and pipelines
  • Evaluate business needs and objectives
  • Interpret trends and patterns
  • Conduct complex data analysis and report on results 
  • Prepare data for prescriptive and predictive modeling
  • Build algorithms and prototypes
  • Combine raw information from different sources
  • Explore ways to enhance data quality and reliability
  • Identify opportunities for data acquisition
  • Develop analytical tools and programs
  • Collaborate with data scientists and architects on several projects



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