Job Description

Job ID: 5556

We are seeking a technically driven and motivated AI & Data Engineer Trainee to join our AI and Data Innovation team. This role is central to building and evolving our internal data platform, with a focus on data engineering tooling, pipeline automation and platform enablement. The trainee will be hands-on from day one, contributing to the infrastructure that powers both our data and AI capabilities across the organization.

At Nordea, we see that the world is changing fast – and we want to be one step ahead of the curve. That's why we're deeply committed to providing the financial solutions of tomorrow to our customers. We're creating an agile environment where we experiment and grow together - and we need your ideas and personal background. With us, you'll be in good company with a chance to make your mark on something bigger.

Nordea Asset Management (NAM) is the asset management arm of the Nordea Group, the leading financial services group in the Nordics with the vision of being a leading European Asset Manager. We want to do this by delivering returns with responsibility. The group has more than 30,000 employees. NAM has around 900 employees and manages more than EUR 325 billion of assets for institutional, wholesale, and retail clients across the Nordic region and the globe.

About this opportunity:

You will join our AI and Data Innovation team based in Oeiras, embedded in a cross-functional environment where engineering and innovation meet. Your primary focus will be on building and maintaining the data platform tooling that underpins our data and AI initiatives. You will contribute to driving platform adoption across the organization and act as a technical bridge between the data platform and our AI Lab. This is a hands-on role — expect to write code, build pipelines, and ship real solutions.

• The role is based in Oeiras (Quinta da Fonte).
• It’s expected you to work 100% on-site.
• Internship duration: 12 months.
• Salary offer: 1.400 € gross/monthly + meal allowance.

Key responsibilities:

• Design, build and maintain data platform tooling and infrastructure, leveraging technologies such as Snowflake, dbt, dlt and Airflow.
  
• Develop and maintain CI/CD pipelines to support reliable and automated data workflows.
  
• Contribute to infrastructure-as-code practices using Terraform and containerisation with Docker.
  
• Support the adoption and enablement of the data platform across business and technical teams, producing documentation and reusable components.
  
• Act as a technical bridge between the data platform and the AI Lab, ensuring data infrastructure is ready to support AI and LLM-driven use cases.
  
• Collaborate with engineers and data practitioners to identify improvements and new capabilities within the platform.

Your profile

Collaboration. Ownership. Passion. Courage. These are the values that guide us in how we work and how we make decisions – and that we imagine you share with us. 

To succeed in this role, we believe that you:

• Are eager to learn and get things done — you enjoy building things and are not afraid to get your hands dirty.
• Have a foundational understanding of data engineering concepts and curiosity about how modern data platforms work.
• Can write Python code and are comfortable picking up new libraries and tools as needed.
• Have had some exposure to workflow orchestration concepts — familiarity with Airflow or similar tools is a plus, not a requirement.
• Have a basic awareness of CI/CD practices and what good software delivery looks like.
• Are curious about AI and LLM tooling (RAG, agentic workflows, etc.) — no hands-on experience needed, just genuine interest.

The following soft skills:

• Curious and self-driven with strong interest in data science and AI technologies.
• Ability to work collaboratively in a cross-functional team environment.
• Efficient and delivery oriented.
• Persistent and determined.
• Innovative and like to sick new ways to solve issues.

Your experience and background:

• Fluent in English. (Other European language are considered an asset).
• Master in Software Engineering, Computer Science, Maths or other numerate subject.
• Familiarity with one or more of the following is a plus: Snowflake, dbt, dlt, Terraform, Docker, Kubernetes.
• Prior experience with data pipelines or platform engineering projects — academic or professional — will be valued.

If this sounds like you, get in touch!

Next steps

If this opportunity is the challenge you are seeking, please send us your cover letter and CV in English latest on 31/08/2026.

At Nordea, we recruit from the widest possible pool and hire the best person for the job. Because diversity makes us stronger. And once you are on board, you will find that we offer equal opportunities to everyone.

#NAM
#NAM-Portugal