Azure Data Engineer

TVARIT GmbH develops and delivers solutions in the field of artificial intelligence (AI) for the Manufacturing, automotive, and process industries. With its software products, TVARIT makes it possible for its customers to make intelligent and well-founded decisions, e.g., in forward-looking Maintenance, increasing the OEE and predictive quality. We have renowned reference customers, competent technology, a good research team from renowned Universities, and the award of a renowned AI prize (e.g., EU Horizon 2020) which makes Tvarit one of the most innovative AI companies in Germany and Europe.   We are looking for a self-motivated person with a positive "can-do" attitude and excellent oral and written communication skills in English.   We are seeking a skilled and motivated Data Engineer from the manufacturing Industry with over two years of experience to join our team. As a data engineer, you will be responsible for designing, building, and maintaining the infrastructure required for the collection, storage, processing, and analysis of large and complex data sets. The ideal candidate will have a strong foundation in ETL pipelines and Python, with additional experience in Azure and Terraform being a plus. This role requires a proactive individual who can contribute to our data infrastructure and support our analytics and data science initiatives.   Skills Required Experience in the manufacturing industry (metal industry is a plus)  2+ years of experience as a Data Engineer Experience in data cleaning & structuring and data manipulation ETL Pipelines: Proven experience in designing, building, and maintaining ETL pipelines. Python: Strong proficiency in Python programming for data manipulation, transformation, and automation. Experience in SQL and data structures  Knowledge in big data technologies such as Spark, Flink, Hadoop, Apache and NoSQL databases. Knowledge of cloud technologies (at least one) such as AWS, Azure, and Google Cloud Platform. Proficient in data management and data governance  Strong analytical and problem-solving skills. Excellent communication and teamwork abilities.   Nice To Have Azure: Experience with Azure data services (e.g., Azure Data Factory, Azure Databricks, Azure SQL Database). Terraform: Knowledge of Terraform for infrastructure as code (IaC) to manage cloud.