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Ot Data Engineer

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Astek

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Location:
Poland , Warsaw

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Category:
IT - Software Development

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Contract Type:
Employment contract

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Salary:

18000.00 - 20500.00 PLN / Month
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Job Description:

The project focuses on digital manufacturing and data integration in the pharmaceutical industry. The goal is to connect production systems, business applications, and analytics platforms into one reliable and scalable data environment. You will work with modern technologies such as Unified Namespace (UNS) and HighByte Intelligence Hub to enable real-time data access, improve manufacturing visibility, and support advanced analytics initiatives. This is a great opportunity to be part of innovative Industry 4.0 projects in an international and highly regulated environment.

Job Responsibility:

  • Building and maintaining a Unified Namespace (UNS) for real-time manufacturing data
  • Configuring and supporting HighByte Intelligence Hub
  • Integrating data from PLC/SCADA systems, MES, LIMS, historians, and IoT devices
  • Creating and maintaining data pipelines for analytics and process monitoring
  • Working closely with automation, engineering, quality, and IT teams
  • Ensuring compliance with pharmaceutical standards such as GxP and 21 CFR Part 11
  • Maintaining data models and supporting data governance processes
  • Troubleshooting data flow and system performance issues
  • Supporting digital transformation and smart manufacturing initiatives

Requirements:

  • 3–7 years of experience in OT Data Engineering, industrial data systems, or manufacturing IT
  • Degree in Engineering, Computer Science, Information Systems, or a related field
  • Hands-on experience with Unified Namespace (UNS) architecture
  • Know how to work with HighByte Intelligence Hub, including data flows, connectors, and data modeling
  • Experience with MQTT brokers such as Ignition, HiveMQ, or EMQX
  • Understand industrial communication protocols like OPC UA, Modbus, and Ethernet/IP
  • Experience working in pharmaceutical or regulated manufacturing environments, including GxP and data integrity requirements
  • Comfortable using Python, SQL, and modern data engineering tools
  • Worked with cloud platforms such as Azure, AWS, or GCP
  • Know standards such as ISA-95/ISA-88 and understand shop-floor to enterprise integrations
  • Experience with systems such as MES, historians, Tulip, Ignition, or Kepware
  • Fluent English communication skills (C1 or higher)

Nice to have:

  • Experience with Industry 4.0 or smart manufacturing projects
  • Knowledge of predictive analytics, machine learning, or digital twins
  • Familiarity with data governance and data quality processes
What we offer:
  • Long-term collaboration
  • Technical training, certifications, and skills development
  • Competence Center mentoring
  • Clear career path
  • Employee benefits package (Multisport, private healthcare, life insurance)
  • Friendly working atmosphere, team-building events, and team-building meetings
  • Referral system

Additional Information:

Job Posted:
May 05, 2026

Employment Type:
Fulltime
Work Type:
Remote work
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