Technical Lead, Scaled Data & Platform Engineering

Novo Holdings A/S

København

On-site

DKK 900,000 - 1,400,000

Full time

14 days+

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Job summary

Novo Holdings is seeking a Technical Lead Data & Platform Engineer to evolve, build, and maintain our data platform. You will architect robust, scalable, and secure solutions with hands-on delivery, collaborating closely with the Head of Data & Analytics to drive priorities forward.

The role blends technical depth with stakeholder collaboration and ownership, requiring 5+ years in data engineering and a MSc/PhD in a related field. International experience is a plus.

Qualifications

  • 5+ years of experience in Data and Platform Engineering.
  • MSc or PhD in Engineering, Mathematics, Computer Science or similar.
  • Experience in international environments is a plus, but not required.

Responsibilities

  • Lead design and development of data pipelines and products using Azure, Databricks, and dbt.
  • Manage infrastructure provisioning and deployments with Terraform and Azure DevOps.
  • Implement CI/CD workflows, version control, and automation with Git and Azure DevOps.
  • Develop and maintain data transformations, models, and orchestration in Databricks (UnityCatalog, Autoloader).
  • Build and deploy Python applications and PySpark data processing solutions.
  • Ensure data modelling best practices across structured and unstructured sources.

Skills

Stakeholder management
Product mindset
Problem solving
Curious mind
Team collaboration

Education

MSc or PhD in Engineering/Math/CS

Tools

Azure
Databricks
UnityCatalog
Autoloader
Terraform
dbt
Python
PySpark
SQL
Azure DevOps
Git

Job description

Novo Holdings is seeking a Technical Lead Data & Platform Engineer to evolve, build, and maintain our data platform. You will architect robust, scalable, and secure solutions with hands-on delivery, collaborating closely with the Head of Data & Analytics to drive priorities forward.

The role blends technical depth with stakeholder collaboration and ownership, requiring 5+ years in data engineering and a MSc/PhD in a related field. International experience is a plus.

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