Posição: Mid-Senior level

Tipo de empregos: Contract

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Conteúdo do emprego

We are looking for a Data Engineer (m/w/d) with experience in building data pipelines coded in Python (m/f/d) for an 18 month assignment for the location Wuppertal, NRW. 37.5 hours per week.

Latest start time 01.January 2022

Aim of the project Digital transformation of the site

Our client is a global leader in the pharmaceutical and crop protection industry with over 100,000 employees worldwide. Since 2006, Allied Clinical Management GmbH has been providing this company with its experts for short, medium and long-term project assignments. We guarantee first-class working conditions as well as very fair compensation.

Major Tasks
  • You will typically be part of an agile project team to develop tailor-made digital tools hand-in-hand with our business function (production, quality, engineering)
  • You will design and build python-based data pipelines and frontends to support data science projects following software engineering best practices and use state-of-the art technologies to acquire, ingest and transform big datasets
  • You will map data fields to hypotheses, curate, wrangle and prepare data to be used in advanced analytics models or dashboards
  • You will create and manage data environments in the cloud according to corporate standards
Requirements
  • Several years hands-on experience in building data pipelines in production with proven ability to write clean, maintainable and robust code in Python (preferred), Scala, Java or similar languages in a professional setting
  • Several years hands-on experience in building tailored frontends (UI/UX), e.g. Plotly/Dash
  • Expertise in software engineering concepts and best practices and ability to work across structured, semi-structured and unstructured data
  • Exposure to DevOps, DataOps and MLOps would be considered a plus
  • Very good knowledge of German and/or English
  • Valid work permit for Germany at the time of applying
Benefits
  • Attractive and above average salary
  • Home Office/ On site 50% / 50%
  • 30 days paid vacation per year
  • First-class contacts to renowned companies
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Data limite: 08-12-2024

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