Data Engineer
1w1 week agoTechSeed
Göteborg, SE · Full-time · SEK 600,000 – SEK 800,000
About this role
TechSeed is convinced that technology will make the world a better place. They combine business understanding, digital leadership, innovative approaches, and future technologies in connected ecosystems like IoT, digital twins, AI, and cybersecurity. This is their WHY and arena.
As a Data Engineer at TechSeed, you work as a consultant collaborating with customers. You handle and optimize large data volumes, developing and optimizing datapipelines, architectures, and data modeling to support processing and analysis. This is a broad role leveraging your technical expertise.
You join TechSeed Data Insights, contributing insights from AI, machine learning, IoT, and Business Intelligence for informed decisions. The team includes engaged colleagues skilled in data strategy, architecture, engineering, AI/ML, and reporting. You share common goals and interests.
As co-owner and employee, you influence company growth and develop offerings in areas you are passionate about. You thrive in a culture of curiosity for new tech, mutual support, and building the company together. Enjoy security in a team with shared ambitions.
Requirements
- At least 5 years of relevant work experience in data engineering
- Extensive experience with SQL and Python
- Practical experience with Cloud platforms, either Azure or AWS
- Experience with version control
- Fluent in Swedish and English, spoken and written
Responsibilities
- Handle and optimize large data volumes
- Develop and optimize datapipelines
- Design data architectures
- Perform data modeling to support processing and analysis
- Contribute to insights from AI, machine learning, IoT, and Business Intelligence
- Collaborate with customers as a consultant
- Support data strategy and reporting initiatives
Benefits
- Employee-owned consulting company on a strong growth path
- Significant influence and insight into company development
- Co-ownership as an employee
- Engaged team with expertise in data strategy, architecture, AI/ML, and reporting
- Opportunity to shape offerings and drive passionate areas
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