Senior Data Engineer Python
Semicon Service Nordic AB
📍 Sverige
⏰ Heltid
📋 Tidsbegränsad anställning
🗓 Ansök senast 28 maj 2026
✦ Få fler intervjuer
Generera ett personligt brev anpassat för just den här rollen — på under en minut.
Skapa ansökan – från 49 kr Gratis att söka · Ingen registrering · Premium 49 kr/månOm jobbet
Job Description:
The client is seeking an experienced Senior Data Engineer with strong expertise in Python to support advanced data engineering initiatives within an automotive environment. This role involves designing and maintaining robust data pipelines, working with large-scale test data, and contributing to distributed system architecture. The ideal candidate will have a strong background in enterprise-level development and hands-on experience with ETL processes and cloud infrastructure.
Key Responsibilities:
Design, build, and maintain scalable ETL/ELT pipelines for processing large volumes of automotive test data.
Develop high-quality Python-based solutions using advanced object-oriented programming concepts and best practices.
Handle complex data ingestion workflows, including processing domain-specific file formats such as .sydata, .h5, and other testing data formats.
Collaborate with cross-functional teams to support data-driven solutions within automotive testing environments.
Implement multiprocessing and concurrency techniques to optimize system performance and data processing efficiency.
Contribute to the architecture and development of distributed systems, ensuring scalability and reliability.
Deploy and manage applications in Windows Server environments, including service deployment and automation scripting.
Integrate CI/CD pipelines using tools such as GitHub Actions to streamline development and deployment processes.
Monitor and maintain system performance using logging frameworks and visualization tools such as Grafana.
Work with various database technologies, ensuring efficient data storage, retrieval, and management.
Manage network-based file systems, including NAS interactions and SMB/CIFS protocols.
Total Experience Required:
Senior-level experience in data engineering, preferably within automotive or testing domains, with proven expertise in enterprise software development.
Educational Requirements:
Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Technology, or a related field (or equivalent industry experience).
Required Skills:
Strong proficiency in Python (versions 3.9–3.11)
Solid understanding of object-oriented programming principles
Hands-on experience with ETL/ELT pipelines and large-scale data processing
Expertise in SQL and Oracle Database
Experience working with MongoDB
Knowledge of distributed systems and data architecture
Familiarity with Azure cloud services
Experience in automotive or testing-related environments
Preferred / Additional Skills:
Experience with domain-specific data frameworks such as Sympathy for Data
Knowledge of Windows-based environments, including PowerShell scripting and service deployment
Familiarity with CI/CD tools like GitHub Actions and dependency management tools such as Poetry
Experience with logging and monitoring tools (e.g., Grafana)
Understanding of network file systems, including NAS, SMB, and CIFS protocols
Languages Required:
English (Proficient)
Application Method: Interested candidates can apply by sending their profile to hr@semiconservicenordic.com
The client is seeking an experienced Senior Data Engineer with strong expertise in Python to support advanced data engineering initiatives within an automotive environment. This role involves designing and maintaining robust data pipelines, working with large-scale test data, and contributing to distributed system architecture. The ideal candidate will have a strong background in enterprise-level development and hands-on experience with ETL processes and cloud infrastructure.
Key Responsibilities:
Design, build, and maintain scalable ETL/ELT pipelines for processing large volumes of automotive test data.
Develop high-quality Python-based solutions using advanced object-oriented programming concepts and best practices.
Handle complex data ingestion workflows, including processing domain-specific file formats such as .sydata, .h5, and other testing data formats.
Collaborate with cross-functional teams to support data-driven solutions within automotive testing environments.
Implement multiprocessing and concurrency techniques to optimize system performance and data processing efficiency.
Contribute to the architecture and development of distributed systems, ensuring scalability and reliability.
Deploy and manage applications in Windows Server environments, including service deployment and automation scripting.
Integrate CI/CD pipelines using tools such as GitHub Actions to streamline development and deployment processes.
Monitor and maintain system performance using logging frameworks and visualization tools such as Grafana.
Work with various database technologies, ensuring efficient data storage, retrieval, and management.
Manage network-based file systems, including NAS interactions and SMB/CIFS protocols.
Total Experience Required:
Senior-level experience in data engineering, preferably within automotive or testing domains, with proven expertise in enterprise software development.
Educational Requirements:
Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Technology, or a related field (or equivalent industry experience).
Required Skills:
Strong proficiency in Python (versions 3.9–3.11)
Solid understanding of object-oriented programming principles
Hands-on experience with ETL/ELT pipelines and large-scale data processing
Expertise in SQL and Oracle Database
Experience working with MongoDB
Knowledge of distributed systems and data architecture
Familiarity with Azure cloud services
Experience in automotive or testing-related environments
Preferred / Additional Skills:
Experience with domain-specific data frameworks such as Sympathy for Data
Knowledge of Windows-based environments, including PowerShell scripting and service deployment
Familiarity with CI/CD tools like GitHub Actions and dependency management tools such as Poetry
Experience with logging and monitoring tools (e.g., Grafana)
Understanding of network file systems, including NAS, SMB, and CIFS protocols
Languages Required:
English (Proficient)
Application Method: Interested candidates can apply by sending their profile to hr@semiconservicenordic.com