Senior Data Manager

Ørsted
Kuala Lumpur
MYR 30,000 - 70,000
Job description

Join us in this role where you’ll be responsible for overseeing the entire data lifecycle, from acquisition to interpretation. Your role will involve developing data management plans, ensuring data quality and integrity, and implementing best practices for data governance. You will work closely with engineers, project managers, and stakeholders to provide valuable insights and support decision-making processes. Additionally, you will lead efforts to optimize data storage, enhance data visualization techniques, and drive our cloud transformation journey.

Welcome to Engineering
You’ll be part of the engineering digitalisation department, where you, together with your colleagues, will collaborate on data collection, transfer, and storage for our offshore wind projects.

As a team, we collaborate with our colleagues and engage with various stakeholders throughout our value chain. We seek individuals who excel both independently and as part of a dynamic team to achieve excellence.

You’ll play an important role in:

  • Connecting business processes by performing data discovery activities, mapping data flows, and fine-tuning work and data flows through automation.
  • Maintaining and governing Engineering data within various platforms and having an overview of overall Engineering data visibility, costs, access, and performance.
  • Administrating our cloud storage solutions and influencing storage adaptation into various compute solutions such as HPC and VDI on cloud.
  • Designing data pipelines for various teams in Engineering; knowledge of typical engineering data types including weather forecasting, cable and electrical, geoscience, etc. will be a distinct advantage.

To succeed in the role, you:

  • Understand and shape data workflows, process mining, and data pipeline design.
  • Are highly engaged and hold strong communication soft skills and stakeholder management.
  • Have a deep understanding of various data structures; databases, cloud storage technologies, and data management governance.
  • Have a high understanding of data metrics, dashboarding, and key performance indices.
  • Understand data warehouses, ETL, and as a bonus: Engineering software technologies such as Petrel, ArcGIS Pro, and Ansys.

Maybe you’ve read the above and can see you have some transferable skills, even though they don’t quite match all the points. If you think you can bring something to the team, we still encourage you to apply.

Shape the future with us
Send your application to us as soon as possible. We’ll be conducting interviews on a continuous basis and reserve the right to take down the advert when we’ve found the right candidate.

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