AI Data Platform Engineer — Hybrid (3 in-office / 2 remote)

Nordea Asset Management Portugal

Oeiras

Hybrid

EUR 55,000 - 75,000

Full time

2 days ago
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Job summary

Nordea Asset Management Portugal is seeking a Data Platform Engineer to join the AI and Data Innovation team. You will build and evolve our internal data platform, focusing on tooling, pipeline automation, and platform enablement.

Hands-on from day one, you will support data capabilities across the organization and collaborate with cross-functional teams. You will work with Snowflake, DBT, DLT, Airflow, Terraform, Docker, and Kubernetes, contributing to scalable data workflows and AI-enabled use

Qualifications

  • Foundational understanding of data engineering concepts and curiosity about modern data platforms.
  • Comfort with Python and willingness to learn new libraries and tools as needed.
  • Basic awareness of CI/CD practices and good software delivery practices.
  • Interest in AI/LLM tooling; hands-on experience not required.
  • Fluent English; other European languages are a plus.

Responsibilities

  • Enable teams by designing, building and maintaining data platform tooling and infrastructure using Snowflake, DBT, DLT and Airflow.
  • Develop and maintain CI/CD pipelines to support reliable, automated data workflows.
  • Contribute to infrastructure-as-code practices with Terraform and containerisation using Docker.
  • Support adoption and enablement of the data platform across business and technical teams, with documentation and reusable components.
  • Act as a technical bridge between the data platform and AI Lab to support AI/LLM use cases.
  • Collaborate with engineers and data practitioners to identify improvements and new platform capabilities.

Skills

Python
CI/CD
Airflow
Snowflake
DBT
DLT
Terraform
Docker
Kubernetes
SQL
English

Tools

Terraform
Docker
Kubernetes
Snowflake
DBT
DLT
Airflow

Job description

Nordea Asset Management Portugal is seeking a Data Platform Engineer to join the AI and Data Innovation team. You will build and evolve our internal data platform, focusing on tooling, pipeline automation, and platform enablement.

Hands-on from day one, you will support data capabilities across the organization and collaborate with cross-functional teams. You will work with Snowflake, DBT, DLT, Airflow, Terraform, Docker, and Kubernetes, contributing to scalable data workflows and AI-enabled use

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