Data Engineer-Advanced analytics

Geen max uurtarief
32-40 uur p/w


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.


De eisen

Alles uitklappen
+- 5 years of experience in Python software development;
Extensive experience in the Azure (and/or Databricks or similar) Data Stack;
Proven expertise in integrating CI/CD practices;
Experience with MLOps frameworks;
Deep understanding of design and cloud patterns;
Experience with data ingestion, data storage, data processing and data security principles at scale;
Demonstrable engineering experience in a largely Open Source environment. Technologies such as Kafka, Hadoop ecosystems; (HDFS, Hive, Impala), Git, Jenkins, Docker, MLflow & Kubernetes are no mystery to you;
You must have solid communication and cooperation skills in Dutch and English. Fluency in German is a plus;
This position requires an in-depth background screening;
Having (Azure) or similar Associate Cloud Data Engineer Certification is a plus.
Alles uitklappen

Hoe werkt het?

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