Industrial Digital Engineer (Rock, Mineral & Wool)

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Knauf Insulation is currently recruiting for a Industrial Digital Engineer. To work with the Center of Excellence for Artificial Intelligence and Data Science in building analytical capabilities and implementing digital projects locally. Is responsible for building out data analysis, data models, Extract, Transform, and Load (ETL) processes, and machine learning models based on best practices developed by and under supervision of the Center of Excellence for Artificial Intelligence and Data Science.  Uses the tools developed and maintained, such as but not limited to Dremio, Prefect, Data Lakes and Databases, OSI PI. Participates in sharing projects globally across the Knauf organization. 


Basic Responsibilities:

• Plans and leads Data Engineering, Advanced Analytics, and Data Science projects. Coordinates project cooperation with internal partners and the Center of Excellence for Artificial Intelligence and Data Science

• Ensures implementation of Data Engineering, Advanced Analytics, and Data Science projects on plant systems

Develop algorithms, predictive models, and dashboards that leverage data from Dremio and other data systems, in order to solve complex manufacturing and business problems to operationalize outcomes of analytics

• Provides the primary point of communication in the plant for the Center of Excellence for Artificial Intelligence and Data Science and develops proof-of-concept for proposed solutions

• Uses the tools developed and maintained by Core Research and Development, such as but not limited to Dremio, Prefect, Data Lakes, Knauf Web, and Databases to perform advanced analytics and continuously builds reproducible datasets using Dremio

• Collaborates with other Digital Engineers in rolling-out successful solutions to other plants

• Constantly improves his/hers knowledge of the business and advanced analytics field in general

• Takes into account the structure of the project environment, created by the head of advanced analytics in order to provide feasible items in a timely manner and to constantly update the development of key project phases

• A key responsibility of the position is to successfully communicate with both clients and customers of the projects so that they connect to the body of work and feel comfortable using it.  The communication will include detailed documentation of the programming effort as well as significant participation in project reviews with various management teams

• While performing his/her duties, he/she adheres to all performance policies relating to the requirements concerning occupational health and safety, fire safety and environment protection, quality, energy management and consistent use of personal protection equipment

• Administration of the PI system (OSI PI) - creating tags and users

• Training of PI System for users in the plants

• Creating analyses and reports from the plant information system (OSI PI).

• Creating input masks for manual input into the PI system

• Supporting the plants in case of operational problems with the PI system

• Support Plant OSI PI champions to develop systems that sustain change with dynamic interactive reporting


Skills:

• Educated to degree level in Computer Science or Engineering; higher degree desirable

• Fluent in Python (pandas, dask, panel, matplotlib, numpy, seaborn, scikit, keras, tensorflow)

• Intermediate experience of machine learning and statistics

• Preferably knowledge / experience of Angular / Electron

• Plc Siemans knowledge

• Intermediate knowledge of SQL

• Intermediate knowledge of Computer Vision and systems

• Good understanding of conda package manager and conda environments

• Basic bash scripting capabilities

• Understanding basic concepts of source control (Git)

• Understanding basic concepts of software development

• Understand the process of realizing a problem, designing hypothetical solutions, developing proof of concepts, and launching project initiatives

• Advanced knowledge of Excel and VBA scripts

• Excellent verbal and written communication skills (English, German optional - as a plus)


Experience:

•  Educated to degree level in Computer Science or Engineering; higher degree desirable

•  Minimum of two (2) years of technical experience in data scientist/data engineering (preferred)

•  Ideally the candidate can demonstrate KI plant experience

-or-

• Mechanical engineer, chemical engineer, Electrical Engineer, Control Engineering or other engineering disciplines with 3+ years experience in python


Salary & Benefits

• £40,000 - 45,000 per annum depending on experience

• Annual performance related bonus

• Holiday allowance

• Pension scheme

• Westfield Health Care

• Sick pay (after 3 months of service)

• Life assurance scheme

• Onsite gym

• Occupational Health & Mental Health First Aiders

• Perkbox

• Cycle to work scheme


 About Knauf Insulation

We are one of the fastest growing and most respected names in insulation worldwide. We are committed to helping our customers to meet the increasing demand for energy efficiency and sustainability in buildings.

Our vision is to lead the change in smarter insulation solutions for a better world. Our aspiration is to be the world’s most trusted insulation partner providing high performing and smart insulation solutions and services for a better world.

We usually respond within three days

Or, know someone who would be a perfect fit? Let them know!

Queensferry, Deeside

Chemistry Lane
CH5 Deeside Directions

We’re passionate about developing our people

At Knauf Insulation your career is a journey through one or multiple roles that you hold within the company. Progression is not just about promotion, it is about building capability and experience. There are several different ways to progress within Knauf Insulation and we are proud to see a high number of our employees who have moved between teams, departments and even countries. Working for a global market leading organisation, the limits really are endless.

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