Junior Data Engineer at knok to join the Data team and help ensure that the data powering knok remains accurate, reliable, and available when our teams need it. You will work closely with more experienced Data Engineers, contributing to the maintenance of our data platform, monitoring daily data pipelines and transforming healthcare data into structured and valuable information. This is an opportunity to develop your Data Engineering skills while working with real healthcare data and systems that directly support clinical and business decision-making. In this role you will support the maintenance and continuous improvement of our data platform, ensure data remains up to date, monitor daily ELT processes to ensure pipelines run successfully and on time, identify and investigate data quality issues and pipeline failures, and transform raw data from various sources into usable datasets. You will work with healthcare data, including HL7, extracting meaningful information from laboratory results, appointments and admissions. You will help develop and maintain data models and transformations, collaborate with Data Analysts and other teams to understand data needs, and communicate technical topics clearly to non-technical stakeholders. You will contribute to documentation, testing and the continual improvement of our data processes. The ideal candidate has a degree in Computer Science, Data Science, IT, Engineering or a related field, initial experience with Python, a solid grasp of SQL and relational databases, a basic understanding of data pipelines and ETL/ELT concepts and data

Junior Data Engineer at knok to join the Data team and help ensure that the data powering knok remains accurate, reliable, and available when our teams need it. You will work closely with more experienced Data Engineers, contributing to the maintenance of our data platform, monitoring daily data pipelines and transforming healthcare data into structured and valuable information. This is an opportunity to develop your Data Engineering skills while working with real healthcare data and systems that directly support clinical and business decision-making. In this role you will support the maintenance and continuous improvement of our data platform, ensure data remains up to date, monitor daily ELT processes to ensure pipelines run successfully and on time, identify and investigate data quality issues and pipeline failures, and transform raw data from various sources into usable datasets. You will work with healthcare data, including HL7, extracting meaningful information from laboratory results, appointments and admissions. You will help develop and maintain data models and transformations, collaborate with Data Analysts and other teams to understand data needs, and communicate technical topics clearly to non-technical stakeholders. You will contribute to documentation, testing and the continual improvement of our data processes. The ideal candidate has a degree in Computer Science, Data Science, IT, Engineering or a related field, initial experience with Python, a solid grasp of SQL and relational databases, a basic understanding of data pipelines and ETL/ELT concepts and data