IT Software Specialist – Data Engineer

The Digital Transformation Corporate (DTC) programme implements the TenneT strategy on advancing the use of data and analytics to the benefit of internal operations and society. This is realized by the implementation of the TenneT Data Platform (TDP).

The TDP implements solutions for big data use cases to facilitate the energy transition. One of the prominent parts of this platform is a Data Lab platform where innovative and iterative business use cases are implemented. The goal of this platform is to realize first implementations in a fast and agile manner, before it is handed over to the more standardized and scaled maintenance environment.

To support the implementation of these innovative use cases in the TenneT Data Platform a dedicated DevOps team is formed. Apart from realizing use cases, the team is involved in extending and maintaining the IT platform and the big data capabilities following an agile approach. 

As a data engineer you will join our multinational Scrum team to create and implement solutions for data science projects and streaming analytics. Teams are composed of data engineers, a Scrum Master and a Product Owner. We are committed to following an Agile way of working, with sprints and demos every two weeks, aiming for frequent releases of working software. We cooperate with internal and external experts from different knowledge domains to discover and build the best solutions possible. 
 

• Design, build, test, deploy and maintain streaming analytics applications with proper performance, fault handling, logging and monitoring (Spark, Spark streaming, Scala).
• Ensuring the quality of personal deliverables by designing and implementing tests on unit and integration levels;
• Troubleshooting, analysing, and solving issues from tests as well as those reported by our customers;
• Writing or updating product documentation in accordance with company processes;
• Suggesting improvements to our technical solutions and way of working, and implementing them in alignment with your team;
• Participate in team knowledge sharing, design reviews, etc.;
• Conduct data and analytics-related discussions with customers;

• Design, build, test, deploy and maintain streaming analytics applications with proper performance, fault handling, logging and monitoring (Spark, Spark streaming, Scala).
• Ensuring the quality of personal deliverables by designing and implementing tests on unit and integration levels;
• Troubleshooting, analysing, and solving issues from tests as well as those reported by our customers;
• Writing or updating product documentation in accordance with company processes;
• Suggesting improvements to our technical solutions and way of working, and implementing them in alignment with your team;
• Participate in team knowledge sharing, design reviews, etc.;
• Conduct data and analytics-related discussions with customers;

• Aanvang: zsm
• Duur: 31-152-2019
• Aantal uur: 40 uur