Job summary
Seeking a mid-level Data Platform Engineer in Norway to enhance and scale a data and machine learning platform. The role involves developing deployment pipelines, infrastructure-as-code modules, and tooling that enable engineering teams to operate independently and efficiently. This position offers opportunities for growing ownership and leadership in platform tooling within an AI-driven and collaborative engineering environment. Remote work flexibility is supported.
Location and work setup
- Location
- Norway
- Work setup
- Remote
Salary
EUR 33000.00–43000.00 year
Responsibilities
Analyze and improve existing CI/CD pipelines for reliable software delivery. Develop and maintain infrastructure-as-code modules aligning with defined patterns. Implement data governance practices including naming conventions, access controls, and retention policies. Create reusable tooling and templates to facilitate self-service platform operations with minimal manual effort. Produce comprehensive technical documentation, including runbooks and troubleshooting guides. Manage data access workflows to streamline permissions requests. Take increasing ownership of platform tooling roadmap and maintenance. Collaborate across data engineering, backend development, and infrastructure teams to ensure platform reliability. Utilize AI-assisted development tools responsibly by critically evaluating and validating generated code.
Qualifications
Approximately two or more years of professional experience in software, data, platform, DevOps, or infrastructure engineering. Bachelor's degree in Computer Science, Engineering, or related field. Proficient in Python and SQL with regular professional use. Experience with CI/CD pipelines and infrastructure-as-code practices. Ability to analyze unfamiliar codebases, troubleshoot issues, and make technical assessments. Familiarity with Docker and cloud computing concepts, particularly AWS. Comfortable working across multiple engineering disciplines. Experience using AI coding assistants combined with critical evaluation skills. Strong sense of ownership, accountability, and communication skills to explain and defend technical decisions. Motivated for continuous learning and adapting to new tools and technologies.