When it comes to making robots that look like engineers, it’s all about the data.
The data engineers have to work with can be extremely detailed, and there’s no shortage of that in the field of engineering.
A new study suggests that engineers who are better at designing data structures and working with data are likely to be more successful at engineering careers.
The study, led by the University of Warwick, looked at the careers of data engineers who were engineers and those who were not.
The authors say that they found that data engineers with data skills who are good at designing and analysing data were more likely to stay in the engineering industry, and therefore were more successful in the long term.
“This shows that engineers with the right data-design skills are able to build robust, reliable, scalable, and flexible systems that are capable of solving real problems,” says co-author Professor Richard Pritchard.
The team looked at data engineering in a number of disciplines, including robotics, data mining, machine learning, robotics, artificial intelligence, robotics and computer vision, and statistics.
They found that those with the best data-analysis skills were more than twice as likely to work in engineering as those with a lower level of data-engineering skills.
“The most effective data engineers are also those who have the best problem solving skills,” says lead author Dr Tom Beasley.
“For the average engineer, this means they need to be able to think in terms of big problems that are big and complex.
These are very specific problems that can take many years to solve.
“We’ve found that engineering schools have a big role to play in supporting these students and providing them with opportunities to become data engineers.””
Data engineering is a very different field to design and development, and is usually less technical and more social,” says Dr Beasley, a postdoctoral fellow at Warwick’s School of Engineering and Computer Science.
“We’ve found that engineering schools have a big role to play in supporting these students and providing them with opportunities to become data engineers.”
It’s good to know that engineering is an industry where good data engineering skills can be a valuable part of the pipeline.
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Should engineers have data-based skills?
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