Digital Data Engineer - CMMS

Posted 7 Days Ago
Be an Early Applicant
Hiring Remotely in Belgium
Remote
Mid level
Energy
The Role
Lead data initiatives for maintenance and asset management, ensuring data quality, governance, and accurate transfer into CMMS. Collect, validate, structure maintenance data, translate business needs into data requirements, and collaborate with reliability and maintenance experts to implement system solutions and AI-driven improvements.
Summary Generated by Built In
At DEME, reliable maintenance starts with reliable data. We are looking for a Digital Data Engineer to strengthen our CMMS team and take ownership of the next phase of our maintenance data digitalization journey.
In this role, you will act as the driving force behind maintenance data initiatives, ensuring that critical information from our vessels and newbuild projects is collected, validated, structured, and transformed into high-quality digital assets. You will work closely with maintenance, reliability, fleet engineering, and IT stakeholders to ensure our maintenance management systems contain the right data to support efficient and reliable vessel operations.
The role combines project leadership, data governance, stakeholder management, and a strong affinity for maintenance processes and asset management.Your responsibilities
  • Act as a project lead for data-related initiatives, defining scope, planning activities, and ensuring timely delivery. 

  • Drive the implementation and enforcement of Data Quality Standards (DQS) for assets, items, and maintenance data. 

  • Lead and coordinate data creation and data quality improvement initiatives. 

  • Collect, validate, and structure maintenance data generated during vessel newbuild and fleet operations.

  • Ensure maintenance data is accurately transferred from various sources into our maintenance management systems.

  • Collaborate closely with reliability and maintenance experts to translate maintenance requirements into system solutions.

  • Identify opportunities to leverage digital technologies and AI-driven solutions to improve maintenance data management and decision-making.

  • Contribute to the development of procedures that improve data accuracy, consistency, and long-term sustainability.

  • Translate business needs into clear data requirements through stakeholder engagements to data structures.

​​Your profile
  • You hold a Master’s degree in Marine Engineering, Industrial Engineering, Computer Science, Data Science, IT, or a related field.

  • You have at least 3 years of professional experience in a data, engineering, maintenance, or asset management environment.

  • You have a strong interest in maintenance, asset reliability, and technical operations.

  • You have experience working with large datasets and are comfortable querying and analyzing data using tools such as SQL, Power BI, etc.

  • You have solid understanding of the principles of data governance, data stewardship, data quality, and structured data management.

  • You are analytical, curious, and enjoy investigating how data supports operational decision-making.

  • You possess strong project coordination skills and can engage effectively with both technical and business stakeholders.

  • Experience with maintenance management or asset management systems such as MAS9, Maximo, AMOS, TM Master, SAP, or similar solutions is highly valued.

  • Knowledge of AI, digitalization initiatives, or data-driven asset management is considered an asset.

  • You are not expected to be a software developer or programmer; the focus is on data management, quality, governance, and implementation within a maintenance environment.

Our offer
  • A challenging role with significant impact on DEME’s fleet maintenance strategy.

  • The opportunity to lead high-visibility digitalization initiatives within a global maritime environment.

  • Collaboration with experienced maintenance, reliability, engineering, and IT professionals.

  • Extensive opportunities for personal and professional growth.

  • A competitive salary package with attractive benefits.

  • A dynamic and international work environment where innovation, ownership, and continuous improvement are encouraged.

Skills Required

  • Master's degree in Marine Engineering, Industrial Engineering, Computer Science, Data Science, IT, or related field
  • At least 3 years of professional experience in a data, engineering, maintenance, or asset management environment
  • Experience working with large datasets and querying/analyzing data using SQL and Power BI
  • Solid understanding of data governance, data stewardship, data quality, and structured data management
  • Strong project coordination skills and ability to engage technical and business stakeholders
  • Strong interest in maintenance, asset reliability, and technical operations
  • Analytical, curious, and able to investigate how data supports operational decision-making
  • Experience with maintenance/asset management systems such as MAS9, Maximo, AMOS, TM Master, or SAP
  • Knowledge of AI, digitalization initiatives, or data-driven asset management
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The Company
HQ: Zwijndrecht
4,366 Employees
Year Founded: 1876

What We Do

DEME (Euronext Brussels: DEME) is a leading contractor in the fields of offshore energy, dredging & infra, environmental remediation, trenching and marine infrastructure. DEME also engages in concessions activities in offshore wind, marine infrastructure, green hydrogen, and deep-sea mineral harvesting. The company can build on almost 150 years of experience and is a front runner in innovation and new technologies. DEME’s vision is to work towards a sustainable future by offering solutions for global challenges: a rising sea level, a growing population, the reduction of emissions, polluted rivers and soils and the scarcity of mineral resources. DEME can rely on more than 5,300 highly skilled professionals and operates one of the largest and most technologically advanced fleets in the world. DEME realised a turnover of 3,285 million euro with an EBITDA of 596 million euro in 2023

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