Data Platform Engineer — Remote, Self-Service Tooling Lead

Jobgether

Denmark

Remote

DKK 247,000 - 321,000

Full time

8 days ago

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Benefits offered by this job

Competitive salary
Remote work worldwide
Meal vouchers
Mental health and fitness support
Learning and development budget
AI tools access
Home office allowance
Birthday leave
Career Growth Program
International team
Meaningful technical responsibility

Job summary

Jobgether seeks a Mid-level Data Platform Engineer in Denmark to transform and scale a data and ML platform. You will build self-service tooling, improve pipelines, and extend infrastructure modules within a growing Data & AI team.

Focus areas include governance, reliability, and cross-functional collaboration to empower engineering teams. You will lead platform tooling roadmap in six months, working across data, backend, and infra domains while applying AI-assisted development with careful

Qualifications

  • Deployment ownership: end-to-end ownership of deployment path including pipelines and runbooks.
  • 2+ years of professional experience in software, data, platform, DevOps, or infrastructure engineering.
  • Proficiency in Python and SQL for engineering tasks.

Responsibilities

  • Improve CI/CD pipelines and deployment reliability.
  • Develop infrastructure-as-code modules and templates.
  • Own data access workflows and governance standards for data services.
  • Collaborate with data, backend, and infra teams to improve platform tooling.
  • Use AI-assisted development tools critically and responsibly.

Skills

Deployment ownership
CI/CD
Python
SQL
Docker
AWS
AI-assisted development
Communication & reasoning
Ownership & accountability

Education

Bachelor's degree in CS/Engineering or related field

Tools

Terraform
GitHub Actions

Job description

Jobgether seeks a Mid-level Data Platform Engineer in Denmark to transform and scale a data and ML platform. You will build self-service tooling, improve pipelines, and extend infrastructure modules within a growing Data & AI team.

Focus areas include governance, reliability, and cross-functional collaboration to empower engineering teams. You will lead platform tooling roadmap in six months, working across data, backend, and infra domains while applying AI-assisted development with careful

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