Senior Data Engineer — On-Prem AI Pipelines for Secure Ops

Terma Group; Denmark; On-site; DKK 700,000 - 1,100,000; Full time

Benefits offered by this job

International environment

Flexible working hours

Pension and health package

On‑site massage in Denmark

Social & professional events

Competence networking

Job summary

Terma Group is seeking a (Senior) Data Engineer to join the Accelerator team in Denmark. You will design and maintain data pipelines, ingesting, cleaning and structuring vast sensor data for AI applications. You will own data infrastructure for key projects and ensure on‑prem data handling from sensors to production.

The role focuses on building data foundations for data scientists and ML engineers, with an emphasis on security, reliability and collaboration across teams worldwide.

Qualifications

• Degree in engineering, computer science, physics, experimental natural sciences, or related field.
• Strong programming and data-engineering fundamentals preferred.
• Hands-on hardware or lab instrumentation experience is a plus.

Responsibilities

• Design and maintain data pipelines from ingestion to production.
• Own data infrastructure for specific projects from the physical layer up.
• Ingest, clean and structure sensor and operational data, running on‑prem.
• Manage systems that capture, move, store and serve data at scale.
• Collaborate with data scientists and ML engineers to ensure solid data foundations.
• Maintain data quality, monitoring and pipeline reliability.

Skills

Python/Java

Batch & streaming pipelines

Data modeling

Time series analysis

Sensor data ingestion

Hardware experience

Data quality & monitoring

Education

Engineering/CS/Physics degree

Tools

Docker

Kubernetes

On‑prem infra

Job description

Terma Group is seeking a (Senior) Data Engineer to join the Accelerator team in Denmark. You will design and maintain data pipelines, ingesting, cleaning and structuring vast sensor data for AI applications. You will own data infrastructure for key projects and ensure on‑prem data handling from sensors to production.

The role focuses on building data foundations for data scientists and ML engineers, with an emphasis on security, reliability and collaboration across teams worldwide.