Data scientist
Företag: Semicon Service Nordic AB
Kommun:
Publiceringdatum: 2026-04-27
Omfattning: Heltid
Anställningsform: Tidsbegränsad anställning
Varaktighet: 6 månader – upp till 12 månader
Job Description
Our client is seeking a highly skilled Senior Data Engineer to support advanced data processing and engineering initiatives within an enterprise automotive environment. The role focuses on designing and optimizing robust data pipelines, handling large-scale test data, and contributing to distributed system architectures.
The ideal candidate will bring strong expertise in Python-based development, data engineering practices, and cloud infrastructure, along with experience working in complex, production-grade environments.
Key Responsibilities
Design, develop, and maintain scalable ETL/ELT pipelines for large-scale data processing
Manage ingestion and transformation of high-volume test bed data across multiple formats
Build and optimize distributed data processing systems with a focus on performance and reliability
Implement object-oriented solutions using advanced programming patterns and concurrency techniques
Collaborate with cross-functional teams to support data-driven applications and workflows
Deploy and manage applications within Windows Server environments
Develop and maintain CI/CD pipelines using tools such as GitHub Actions
Monitor system performance and implement logging solutions, including integrations with monitoring tools like Grafana
Handle file system operations, including network drive configurations and NAS interactions
Ensure efficient database integration and management across Oracle, SQL, and MongoDB systems
Required Experience
Senior-level experience in data engineering or related roles
Strong hands-on experience with production-grade ETL pipeline development
Proven expertise in designing distributed systems and handling large-scale data processing
Experience working in enterprise environments, preferably within the automotive or testing domain
Solid understanding of concurrency, multiprocessing, and performance optimization techniques
Familiarity with Windows-based deployment and system environments
Skills Required
Advanced proficiency in Python (3.9–3.11)
Strong knowledge of Object-Oriented Programming principles
Experience with ETL/ELT pipelines and large-scale data ingestion
Proficiency in SQL and database technologies including Oracle and MongoDB
Hands-on experience with Microsoft Azure
Familiarity with CI/CD practices and tools (e.g., GitHub Actions)
Knowledge of file processing across multiple data formats
Experience with PowerShell scripting and Windows service deployment
Preferred / Additional Skills
Experience with domain-specific data frameworks (e.g., Sympathy for Data)
Knowledge of automotive test bed systems and related workflows
Understanding of network file systems (SMB/CIFS, NAS)
Experience with logging and monitoring solutions at file system and infrastructure level
Education
Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field
Language Requirement
English – Professional Proficiency
Application Method: Interested candidates can apply by sending their profile to hr@semiconservicenordic.com
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