Data Engineer (455270)
 

Salary range: £33,309 - £40,927

FTE: 1

Term: Open-ended

Closing Date: 18 July 2022

 

 

The University of Strathclyde in Glasgow possesses a large internationally rated Engineering Faculty with a proud history of successful joint ventures with industrial and enterprise partners. As part of the University’s strategic development the National Manufacturing Institute Scotland has been established.


The National Manufacturing Institute Scotland (NMIS) is a bold and ambitious industry-centred project to create an international centre of advanced manufacturing expertise and excellence where industry, academia and public-sector support agencies work together to transform skills, productivity and innovation, making Scotland and the UK a global leader in advanced manufacturing.


Effective use of data will underpin the digital transformation of Scotland’s manufacturing sector, but significant challenges remain before discrete/siloed data sources within enterprises (both large and SME) can be successfully harnessed. To address these challenges, NMIS seeks to appoint a Data Engineer to work between NMIS, the University and its industrial partners with a strong emphasis on knowledge exchange activities, including collaborative research and development. The Data Engineer will require research and/or technical experience in the following areas:

 

• Data acquisition from a variety of sources, including edge devices, data servers and industrial equipment.
• Unifying discrete data sources into consistent and usable formats for upstream analytics through API development.
• Analysis of raw data sources to improve data operation processes.
• Prototyping, development and maintenance of databases and data pipelines for manufacturing processes.
• Creation of dashboards and other visualisations to represent data movement throughout an industrial environment.
• Collaboration with teams of data scientists, engineers and other technical experts.

 

You will support the delivery of research programmes on manufacturing data analytics, smart factory systems, digital transformation of industrial enterprises, and will be involved in academic research into one or more of these processes.


To be considered for this role, you will be educated to a minimum of PhD level in an appropriate discipline, i.e. Computer Science, Engineering or Mathematics or you will be educated to a minimum of 2:1 Honors degree in addition to significant relevant experience within a relevant industrial environment. . You will have an established track record in providing engineering solutions in an industrial or research context as well as experience of supporting research and development of manufacturing processes.You will be able to work autonomously, planning and prioritising your own workload with minimal guidance from a team/project leader, and you will have the ability to deal with complex problems presented to you by colleagues. You will have excellent communication and interpersonal skills, with a proven ability to interact with a range of stakeholders from industry and/or academia. You will have excellent troubleshooting skills, including a methodical approach to solve complex problems and you will be able to work as part of a multi-disciplinary team.

 

 

For informal enquiries, please contact Dr Andrew Hamilton, Senior R&D Lead - andrew.w.hamilton@strath.ac.uk
 

Click here for full details.

Faculty
Faculty of Engineering
Staff Category
Knowledge Exchange
Type of Employment
Open-ended
Working Hours
Full-time
Vacancy Description
 

Salary range: £33,309 - £40,927

FTE: 1

Term: Open-ended

Closing Date: 18 July 2022

 

 

The University of Strathclyde in Glasgow possesses a large internationally rated Engineering Faculty with a proud history of successful joint ventures with industrial and enterprise partners. As part of the University’s strategic development the National Manufacturing Institute Scotland has been established.


The National Manufacturing Institute Scotland (NMIS) is a bold and ambitious industry-centred project to create an international centre of advanced manufacturing expertise and excellence where industry, academia and public-sector support agencies work together to transform skills, productivity and innovation, making Scotland and the UK a global leader in advanced manufacturing.


Effective use of data will underpin the digital transformation of Scotland’s manufacturing sector, but significant challenges remain before discrete/siloed data sources within enterprises (both large and SME) can be successfully harnessed. To address these challenges, NMIS seeks to appoint a Data Engineer to work between NMIS, the University and its industrial partners with a strong emphasis on knowledge exchange activities, including collaborative research and development. The Data Engineer will require research and/or technical experience in the following areas:

 

• Data acquisition from a variety of sources, including edge devices, data servers and industrial equipment.
• Unifying discrete data sources into consistent and usable formats for upstream analytics through API development.
• Analysis of raw data sources to improve data operation processes.
• Prototyping, development and maintenance of databases and data pipelines for manufacturing processes.
• Creation of dashboards and other visualisations to represent data movement throughout an industrial environment.
• Collaboration with teams of data scientists, engineers and other technical experts.

 

You will support the delivery of research programmes on manufacturing data analytics, smart factory systems, digital transformation of industrial enterprises, and will be involved in academic research into one or more of these processes.


To be considered for this role, you will be educated to a minimum of PhD level in an appropriate discipline, i.e. Computer Science, Engineering or Mathematics or you will be educated to a minimum of 2:1 Honors degree in addition to significant relevant experience within a relevant industrial environment. . You will have an established track record in providing engineering solutions in an industrial or research context as well as experience of supporting research and development of manufacturing processes.You will be able to work autonomously, planning and prioritising your own workload with minimal guidance from a team/project leader, and you will have the ability to deal with complex problems presented to you by colleagues. You will have excellent communication and interpersonal skills, with a proven ability to interact with a range of stakeholders from industry and/or academia. You will have excellent troubleshooting skills, including a methodical approach to solve complex problems and you will be able to work as part of a multi-disciplinary team.

 

 

For informal enquiries, please contact Dr Andrew Hamilton, Senior R&D Lead - andrew.w.hamilton@strath.ac.uk
 

Click here for full details.