The Economist Intelligence Unit (EIU) is a world leader in global business intelligence. We help businesses, the financial sector and governments to understand how the world is changing and how that creates opportunities to be seized and risks to be managed.
At our heart is a 50 year forward look, a global forecast of the majority of the world’s economies, we seek to analyse the future and deliver that insight through multiple channels and insights, allowing our clients to take better trading, investment and policy decisions.
We’re changing, embedding alternate data sources such as GPS and satellite data into our forecasting, products will increasingly be tailored to individual clients, driven by some of the most innovative data in the market. A highly collaborative team of Product Managers, Customer Experience and Product Engineering is being created with a focus on creating business and customer value driven by real time analytics alongside our traditional products.
We are recruiting a Senior Data Engineer to accelerate The Economist Intelligence Unit (eiu.com) drive towards becoming a digitally enabled business at scale. We are actively changing our landscape, from supporting desktop data tools, Excel analysis and visualisation pipelines to Cloud scale big data analysis on AWS. Effective Data management is essential for the research and analysis division of the Economist Group.
*Work/Life Harmony: Our team values work-life harmony. We offer flexibility in working hours/locations and encourage you to find your own balance between your work and personal lives.
*Our team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives*
How you will contribute:
Don’t feel you have to tick every box, the ‘perfect candidate’ doesn’t exist. If you think you can do most of what we are looking for, you could be exactly what we need!
It would be an advantage if you have experience working with products that harness real-time, high frequency data sets as well as more traditional data sources.
The ideal skills for this role include:
To succeed in this role it would be an advantage if you possess: