33 Data engineer English-speaking jobs in Skellefteå

Job scope function Responsible for overall project management related to industrial material flow engineering projects for advanced factories and warehouses, including design and implementation of new technologies and specialized equipment.

-Conduct regular on-site visits to oversee BIM implementation and data capture. ... -Coordinate with various stakeholders to integrate BIM data into project workflows. ... Responsibilities: -Collaborate closely with project managers, engineers, and architects to ensure accurate BIM data

Job scope function You will be part of the engineering team that takes into use and starts up the factory's automation and production systems. You will work intimately with process, maintenance, production and software engineering teams responsible for higher-level systems, such as MES, ERP and PLM.

Monitoring and analysis of complex data with the help of statistical process control tools Monitoring ... projects etc) Knowledgeable in statistics, statistical software, software product development and data ... Formation & Ageing manufacturing processes Proven knowledge about FMEA, Control Plan, PPAP, SPC, MSA, Data

Interpret data and report data/results vs specification Report problems and non-conformities (NCRs) that

models and metadata Identifying and documenting clashes using clash detection software Coordinating the data

as the System Specialist for a laboratory software application such as a LIMS, ELN or Chromatography Data

sigma projects in manufacturing and/or with suppliers Knowledgeable in statistics and multivariate data

Making first data flow from the factory floor to upper level systems to turn into an operational digital

Gathering and analysing data on progression to make informed decisions on how to adjust services to ensure

Ability to analyse a problem quickly and with limited data and determine a path to a solution.

and proactively resolve material flow bottlenecks, inefficiencies, and production constraints with a data-driven

weekly Q-Process meeting with the superintendent and lead the Quality Management based on effective data