Published on April 22, 2025. Modified on May 19, 2025.
At DEME we believe in the value of data and becoming data driven.
As a data engineer you will join the Data & Analytics Office (DAO) within the IT Services department.
Together with the team you will be transforming DEME's data into high quality (BIG) data sets and reports.
You will enable our businesses to gain insight in their data so they can support their decisions with facts.
You will be working with various kinds of data on multiple projects.
You will be creating, maintaining, and supporting data pipelines with information coming from our vessels, projects, campaigns, third party data services, and so on.
You will play a key role in developing and maintaining data models and designing modern data solutions and products on our cloud data platform.
You will work closely with the business to define & finetune requirements.
You will support our data scientists and report developers across the organization and enable them to find the required data and information.
Your Responsibilities :
- You have a result-driven and hands-on mindset and prefer to work in an agile environment.
- You are a team player and good communicator.
- You have experience with SQL or other data-oriented development languages (Python, Scala, Py Spark etc.)
- You have experience with UML modelling and ER modelling.
- You are familiar with the concept of data pipelines and have some development experience on them.
- You have a master or bachelor's degree in the field of engineering or computer science.
- You like to iterate quickly and try out new things.
- Ideally, you have experience with a wide variety of data tools & data like geospatial, time series, structured & unstructured, etc.
Your Profile :
- Experience with 5+ years in Azure Data Engineer.
- Experience on Microsoft Azure.
- Experience with machine learning and AI is a plus.
- Experience with reporting tools is a plus (Grafana, Power bi, Tableau).
- Having a healthy appetite and open mind for new technologies.
- Holds a bachelor's or Master's degree in computer science, information technology, or a related field.