Big Data Lead Engineer
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ROCKWOOL is looking for an industry leading Data Engineer who has strong experience with databases design and architecture, big data handling, data collecting and big data programming. As a Data Engineer at ROCKWOOL you will be given the opportunity to work directly with a team of Digital and Insulation professionals including architects, engineers, analysts to set goals and execute on them with the team.
The ROCKWOOL Group is world leader in stone wool solutions covering building insulation, industrial and technical insulation for process industry, marine and offshore, customised solutions for industrial applications, wall and facade systems, acoustic ceilings, horticultural substrate solutions, engineered fibres solutions, noise and vibration control.
ROCKWOOL has recently started a journey towards using more digitalisation, automation and better use of data - and we need your help!
This is a new role within ROCKWOOL Digital.
Big Data Lead Engineer
About The Department
The position is anchored in ROCKWOOL Digital’s Business Intelligence & Analytics team. We are currently looking at building up a Data & Analytics team consisting of a data science architect, data scientists and data engineers. We will collaborate very closely with early research departments, our pilot-scale production department and our large-scale manufacturing departments.
You will be responsible for creating, deliver and maintain new Data Science platforms including data pipelines & integrations, storage, and algorithms processing – for operational use and POC. This, to provide our internal clients with insights on how to improve their business. You will deliver agile as well as solid operational.
Within the team you will have responsibility for preparing architecture and data for analytical, POC or operational uses. You will collect requirements for analytics platform (functional as well as non-functional) in close cooperation with science architects
Role & Deliverables
As you will have a close collaboration with specialists, scientists and technicians in the department, we expect you to be skilled at collaborating with people with different backgrounds and at communicating complex content across functions, motivating others to hear and follow your ideas