Driven Data Engineer with interest in AI and Public Transport
Workplace: Stenungsund, Sweden
Expires: June 14, 2025
At Hogia Public Transport Systems AB, which handles about 90% of all public transport in Sweden in real time, we manage millions of data points daily from vehicles sending second-by-second data. We seek a Data Engineer passionate about managing, analyzing, and developing this vast data resource by building pipelines, optimizing flows, and transforming raw data into value. This role involves working on socially critical systems that make a real difference and continually challenge your technical curiosity.
Main requirements:
- Several years of development experience in .NET/C# (preferably fullstack)
- Strong interest in AI, data analysis, and machine learning
- Good knowledge of SQL and database management
- Familiarity with Python and AI techniques such as generative AI, RAG, Semantic Kernel, AI agents
- Experience with modern ML frameworks (Scikit-learn, TensorFlow, PyTorch)
- Experience with cloud platforms like Azure, AWS, or GCP
Responsibilities:
- Develop AI solutions for real-time and predictive analysis of public transport data
- Process large datasets including vehicle and system monitoring data
- Develop AI tools and platforms for public transportation
- Collect, process, and analyze data to identify patterns and solve problems
- Provide support and knowledge sharing within AI expertise
Required hard skills:
- .NET/C# development
- SQL and database management
- Python programming
- Experience with AI technologies (generative AI, RAG, Semantic Kernel, AI agents)
- Knowledge of ML frameworks (Scikit-learn, TensorFlow, PyTorch)
Recommended hard skills:
- Experience with cloud platforms Azure/AWS/GCP and Fabric
- Knowledge of React, TypeScript
- Experience with microservices and microfrontend architecture
Soft skills:
- Curiosity and eagerness to explore new technology
- Self-driven and proactive work attitude
- Clear communication skills
- Ability to translate needs into solutions
- Teamwork and collaboration
- Unpretentious and pedagogical approach
Coding languages:
- C#
- .NET
- Python
- SQL
- TypeScript
Frameworks:
- Scikit-learn
- TensorFlow
- PyTorch
- React
Natural languages:
- English (Proficient)
- Swedish (Proficient)
Cultural skills:
- Entrepreneurial mindset
- Collaborative teamwork
- Societally impact-focused environment
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