Junior Data Engineer

ASM Research

On-sitePosted July 26, 2026

About the role

ASM Research is seeking a Junior Data Engineer to design, develop, and maintain data pipelines and infrastructure to support analytics within a regulated enterprise environment. The role focuses on building scalable data workflows, implementing transformation logic, and ensuring data quality and integrity across mission-critical systems for analytics and reporting. The engineer collaborates with analysts, data scientists, and security teams to deliver reliable datasets and contribute to data governance and lineage tracking, driving continuous improvements to data platform performance and reliability.

Junior Data Engineer

ASM Research

On-sitePosted July 26, 2026

About the role

ASM Research is seeking a Junior Data Engineer to design, develop, and maintain data pipelines and infrastructure to support analytics within a regulated enterprise environment. The role focuses on building scalable data workflows, implementing transformation logic, and ensuring data quality and integrity across mission-critical systems for analytics and reporting. The engineer collaborates with analysts, data scientists, and security teams to deliver reliable datasets and contribute to data governance and lineage tracking, driving continuous improvements to data platform performance and reliability.

Key responsibilities: - Develop, operate, and maintain automated ETL/ELT pipelines using Python, SQL, or Spark to process structured and unstructured data across enterprise data platforms. - Implement data models, schemas, and storage solutions in relational and non-relational databases, including data lakes and data warehouses, to support analytics and reporting requirements. - Apply data quality validation techniques, including anomaly detection, schema enforcement, and automated testing frameworks, to ensure accuracy, completeness, and consistency of data. - Support orchestration and scheduling of data pipelines using workflow managers such as Apache Airflow or similar tools, ensuring reliable, repeatable execution. - Optimize data processing performance through indexing, partitioning, and distributed computing approaches to meet latency and throughput targets. - Implement data security controls, including encryption, access management, and adherence to applicable f

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Key responsibilities: - Develop, operate, and maintain automated ETL/ELT pipelines using Python, SQL, or Spark to process structured and unstructured data across enterprise data platforms. - Implement data models, schemas, and storage solutions in relational and non-relational databases, including data lakes and data warehouses, to support analytics and reporting requirements. - Apply data quality validation techniques, including anomaly detection, schema enforcement, and automated testing frameworks, to ensure accuracy, completeness, and consistency of data. - Support orchestration and scheduling of data pipelines using workflow managers such as Apache Airflow or similar tools, ensuring reliable, repeatable execution. - Optimize data processing performance through indexing, partitioning, and distributed computing approaches to meet latency and throughput targets. - Implement data security controls, including encryption, access management, and adherence to applicable f