Senior Data Engineer – AI & ML Platform, Hybrid Environment
Workplace: Stockholm, Sverige
Expires: August 19, 2025
We are looking for a skilled and experienced Senior Platform/Data Engineer for an exciting assignment in central Stockholm. The role suits those wanting to take a leading role in developing and improving advanced data and AI platforms – both on-premises and in the cloud. As a consultant, you will work closely with Data Scientists and ML Engineers in a highly skilled team. Together, you build robust, efficient, and scalable data and machine learning pipelines that form the foundation for analysis and business insights. You will have great responsibility in shaping technical solutions, setting standards for DevOps/MLOps, and ensuring platforms work seamlessly from data source to production models. The environment is open; you work closely with business and are expected to contribute strategically and hands-on – from the terminal, in code, and in stakeholder dialogue. Your tasks include designing and implementing data and ML platforms in hybrid environments, CI/CD, versioning and deployment of ML solutions, automation and optimization of data processes, operation, monitoring and improvement of existing platform environment, and close collaboration with developers, data scientists, and business representatives. We seek someone who is an expert in platform development and ML delivery, has at least three years of senior-level experience in similar roles, is used to working independently, proactively and in a leading role, has deep technical knowledge in Linux, DevOps and CI/CD, enjoys working terminal-based in complex environments, and has experience with both cloud solutions and on-premises.
Main requirements:
- Expertise in platform development and ML delivery
- Minimum three years senior-level experience in similar roles
- Independent, proactive worker with leadership capability
- Deep technical knowledge in Linux, DevOps, and CI/CD
- Comfort with terminal-based work in complex environments
- Experience with both cloud and on-premises solutions
Responsibilities:
- Design and implement data and ML platforms in hybrid environments
- Manage CI/CD, versioning, and deployment of ML solutions
- Automate and optimize data processes
- Operate, monitor, and improve existing platform environments
- Collaborate closely with developers, data scientists, and business stakeholders
Required hard skills:
- Platform development expertise
- Machine Learning (ML) pipeline engineering
- Linux system operations
- DevOps practices
- CI/CD pipelines
- Cloud and on-premises infrastructure management
Soft skills:
- Proactive and independent working style
- Leadership and team collaboration
- Strategic thinking
- Hands-on technical skills
- Effective communication with stakeholders
Operating systems:
- Linux
Natural languages:
- Swedish (Proficient)
- English (Proficient)
Cultural skills:
- Collaboration between business and IT
- Open communication
- Responsiveness to technical and business needs
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