Functie-omschrijving
As a Data Engineer at BTO Digital & Data, you will be at the forefront of the energy transition. By transforming data into actionable insights and decisions, you play a crucial role in our mission to accelerate the energy transition.
Europe's energy transition is among the greatest challenges of our time. Its goal: To make Europe the first climate-neutral continent by 2050 at the latest. The Netherlands and Germany have therefore set themselves ambitious goals to expand offshore wind energy: as early as 2030, Germany and the Netherlands want to reach a capacity of 30 and 22.2 Gigawatts, respectively. Energy from offshore wind farms in the European powerhouse North Sea will play in this a crucial role. TenneT guarantees that this energy will reach the mainland – and in the most environmentally friendly way possible. That is why we have developed the 2GW program with a unique transnational approach. And thus increase the pace and efficiency of the energy transition.
For Tennet is Magnit looking for a:
Data Engineer MLOPS (Machine Learning Operations).
You will cooperate with internal and external experts from different knowledge domains to discover and build the best Smart Data Solutions possible for TenneT. In close collaboration with Data Scientists, you accelerate time-to-value by bridging the gap between Advanced Analytics/ML and DevOps.
Business Technology Organisation:
The Business Technology Organisation (BTO) supports the optimal continuity of the business processes within TenneT. The unit you will be working for is Digital and Data. Together with the business we develop Data Products using Scrum and DevOps. The information needed for these products is obtained from various data sources inside and outside TenneT TSO B.V.
The main activities of the Data Engineer:
• Build production-ready, scalable Machine Learning Models & Systems;
• Maintain and improve ML pipelines and experimentation infrastructure that focuses on scalability, stability, usabilty and performance;
• Ensure the quality of deliverables by designing and implementing unit- and integration tests;
• Troubleshooting, analyzing, and solving issues from tests as well as those reported by our customers;
• 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 and technical reviews;
• You play a pivotal role in mentoring colleagues, sharing insights and best practices for adopting and excelling in the operationalization of our ML/AI models and solutions.