Data Engineer

at  Swedium Global Services

Data Engineer
SwediumGlobal is seeking for Data Engineer
Location: Gothenburg, Sweden
Job Description: Data Engineer

Responsibilities:

• Develop and maintain data pipelines to ingest vehicle telematics data, charging station data, environmental data, etc.
• Perform data analysis to generate insights on vehicle usage patterns, charging behaviors, and algorithm performance.
• Build and deploy machine learning models to predict vehicle energy consumption, vehicle usage, charging behavior, battery degradation, etc.
• Ensure compliance with industry standards and regulatory requirements such as GDPR and EU’s Data Act.
• Stay up-to-date with the latest developments in the field of AI/ML and incorporate the latest ML technologies into products.
• Collaborate with different Feature Teams to help integrate data-driven models into Products.

Required Qualification:

• Bachelor or Master’s or PhD in Computer science, Electrical Engineering, Applied Math/Statistics, or a related field.
• At least 4+ years of experience in data engineering, machine learning, or related role
• Strong proficiency in programming languages such as Python, C/C++, or Java.
• Deep knowledge and work experience in ML architectures such as transformers, graph neural networks, and federated learning
• In-depth knowledge of machine learning frameworks and libraries (e.g., TensorFlow, PyTorch).
• Domain Knowledge in Electric Vehicles, Battery Technology, and EV Energy Management Familiarity with data structures, algorithms, and software engineering best practices
• Familiarity with SQL and NoSQL databases
• Excellent problem-solving skills and the ability to work in a fast-paced, collaborative environment.

Employment Type: Permanent
Conatct us: hr@swediumglobal.com or bhavana.chandraiah@swediumglobal.com

Job Overview

• Location : Gothenburg, Sweden
• Vacancy : 1
• Key Skills : NoSQL, SQL, Java/Python/C++/C

• Develop and maintain data pipelines to ingest vehicle telematics data, charging station data, environmental data, etc.
• Perform data analysis to generate insights on vehicle usage patterns, charging behaviors, and algorithm performance.
• Build and deploy machine learning models to predict vehicle energy consumption, vehicle usage, charging behavior, battery degradation, etc.
• Ensure compliance with industry standards and regulatory requirements such as GDPR and EU’s Data Act.
• Stay up-to-date with the latest developments in the field of AI/ML and incorporate the latest ML technologies into products.
• Collaborate with different Feature Teams to help integrate data-driven models into Products