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2 jobs found in lingen

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ROSEN
20/11/2023
Full time
Data Management & Engineering Specialist (all genders welcome)
ROSEN 49811 Lingen, Germany
For our development team in Lingen (Ems) or Osnabrück we are looking for a Data Management & Engineering Specialist (all genders welcome) Latest technologies in harsh environments – This means high-dimensional and highly noisy data that follow physical laws and can only be used to a limited extent using classic analysis methods.   Storage technologies and processes must be able to handle this multidimensionality and complexity while supporting many critical business processes. In order to make these petabytes of data available to our users, developers and data scientists in a high-performance manner, to guarantee high data quality for our business processes, and ultimately to enable the secure operation of our customers' critical infrastructures, we use the most modern technologies from the areas of data management and engineering and governance, as well as artificial intelligence.   You will help design our data fabric and support our international teams with...
E.M.P. Merchandising Handelsgesellschaft mbH
15/11/2023
Full time
Data Analyst*
E.M.P. Merchandising Handelsgesellschaft mbH Lingen, Germany
Would you like to take on a key role in our data intelligence team and become part of the metal and rock world? Then apply for our  permanent  full-time position in Lingen! Would you like to take on a key role in our data intelligence team and become part of the metal and rock world? Then apply for our permanent full-time position in Lingen! Your main tasks: Close collaboration with our data engineers and data scientists as part of a multidisciplinary team for agile development of reports and dashboards Coordination with the department for data evaluation Interpreting and aggregating raw data, conducting analysis, and evaluating results to share with stakeholders Supporting day-to-day operations with complex analyses, creating interactive reports and dashboards Analysis of key figures from large structured and unstructured data sets, derivation of decision-making principles for optimization and necessary adaptation...
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