Hays

IT Data Engineer Factory Automation

Job description

During the last 5 years, they have established an IT Shared Services Centre in Sant Cugat, with a structure of more than 200 specialists. If you want to be part of technological projects and join one Top Employer company in Spain, Boehringer Ingelheim is your place!

As a Data Engineer, you will work as part of a DevOPS global team, which is responsible for the Industry 4.0 cross functional topics within IT Operations (OPS).You will collaborate with the team members and the customer community to deliver and implement technology solutions in support of the business objectives enable faster decision-making in manufacturing and increase product quality and process compliance by providing real-time insights into operations data.
In order to achieve that they collect data from shop floor and manufacturing sources, integrate this data and provide solutions to generate real-time data insights.

Your main responsibilities will be:

  • Taking over the IT system lead responsibilities for existing and/or new IT solutions in the area of real-time data analytics. Leading IT projects or participate in cross-functional project teams in a global, multicultural and diverse environment.
  • Close collaboration with colleagues from diverse business and IT units globally to deliver a complete system lifecycle of these solutions, including conceptualization, planning, implementation, maintenance and support.
  • Consult business colleagues on solution alternatives and process adaptations to achieve effective and efficient technical solutions in a timely manner.


Requirements


  • Bachelor’s degree in Computer Science, Information Technology or equivalent.
  • At least 3 years of professional experience in data engineering in manufacturing environment.
  • Knowledge in setting up and supporting multi variant data analysis tools (e.g. SIMCA-online).
  • Basic knowledge in operating systems (Linux or Windows) and Citrix and VMWare environment.
  • Very good knowledge in databases, such as MongoDB, Oracle, MS SQL or Postgres.
  • Understanding about the data generated as part of the pharmaceutical manufacturing process, biopharma or chemical industry in terms of Legal, Compliance, GxP, Computer Validation and Regulatory Requirements is preferred.
  • Excellent spoken and written English, German is a plus
  • Hands-on experience in applying agile methodologies, including related tools such as Jira or Confluence.
  • Excellent communication, team-oriented attitude, results oriented, analytical thinking, problem solving and pro-activeness.

Social benefits:

  • Flexible working conditions
  • Life and accident insurance
  • Health insurance at a competitive price
  • Investment in your learning and development
  • Gym membership discounts


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