Senior Data & AI Engineer (all)

About the job

Become part of our team, lend a hand and help shape the energy future with us! We are an integrated energy service provider of the Canton of Aargau. We achieve our goals with competent employees who actively participate in the continuous improvement process. We give freedom, trust each other and treat each other with respect

• Development and maintenance of ETL/ELT pipelines: automation of processes for continuous data processing (batch as well as real-time data)
• Integration of data from various sources such as APIs, sensors, streaming services or internal systems
• Design and modelling of modern data architectures (Data Lakehouse, Dimensional Data Marts)
• Implementation of methods for data cleansing, quality assurance and data security policies
• Conducting data exploration, feature engineering as well as statistical analyses to generate business insights
• Building and operating productive machine learning pipelines including monitoring and continuous model improvement
• Introduction and further development of MLOps practices to automate training, deployment, versioning and monitoring of models

• Completed studies (FH/University) in Computer Science, Data Science, Software Engineering, Business Informatics or a comparable field
• Several years of experience in data engineering, data ingestion and data platforms
• Several years of experience in Azure Databricks and PowerBI
• Familiar with streaming technologies (such as Kafka, Kinesis, Pub/Sub)
• Very good programming skills in Python as well as solid SQL knowledge and experience with relational and NoSQL systems
• Experience with MLOps platforms and tools (e.g. Azure ML, Databricks ML, MLflow, Kubeflow)
• Good knowledge of statistical methods as well as in feature engineering and model validation
• Fluent German language skills are required