Senior AI & Data Platform Engineer
Technology, Data & Digital · Data, AI & Analytics · Data Engineering · Software Engineering · Cloud Engineering
In short
Responsibilities
- Design, build, and maintain data platform tooling and infrastructure using Snowflake, DBT, DLT, and Airflow.
- Develop and maintain CI/CD pipelines for automated data workflows.
- Contribute to shared infrastructure-as-code practices with Terraform and containerization with Docker.
- Support data platform adoption across business and technical teams through documentation and reusable components.
- Act as a technical bridge between the data platform and the AI Lab for AI and LLM use cases.
- Collaborate with engineers and data practitioners to identify platform improvements.
Requirements
- Eagerness to learn and build things.
- Foundational understanding of data engineering concepts and modern data platforms.
- Ability to write Python code and pick up new libraries.
- Basic awareness of CI/CD practices.
- Genuine interest in AI and LLM tooling.
- Fluent in English.
- Software Engineering or Data Engineering skills.
- Platform Engineering or Cloud Engineering skills.
- Good understanding of the interplay between ways of working, architecture, and organizational outcomes.
- Relevant track record of technology-fueled business outcomes.
Desired Qualifications
- Some exposure to workflow orchestration concepts (Airflow or similar is a plus).
- Curious about AI and LLM tooling (RAG, agentic workflows, etc.).
- Curious and self-driven with strong interest in data science and AI technologies.
- Ability to work collaboratively.
- Efficient and delivery oriented.
- Persistent and determined.
- Innovative.
- Other European language is considered an asset.
- Experience working with Python in a data engineering capacity.
- Experience with SQL.
- Building and deploying containerized Docker applications on Kubernetes.
- Familiarity with Snowflake.
- Familiarity with DBT and DLT.
- Building DAGs with Apache Airflow.
- AWS or other public cloud experience.
- Infrastructure-as-code tooling, such as Terraform.
- Experience working in end-to-end delivery teams.
- Experience with a Data Mesh strategy.
- Prior experience with data pipelines or platform engineering projects (academic or professional).
Benefits
- Opportunity to make a mark on something bigger.
- Agile environment where we experiment and grow together.
- Hybrid work regime (3 days in Office + 2 days from home) after 6 months on-site.
- Collaborative, cross-functional team environment.
- Equal opportunities to everyone.
Skills
About Nordea
We are a universal bank with a 200-year history of supporting and growing the Nordic economies – enabling dreams and aspirations for a greater good. Every day, we work to support our customers’ financial development, delivering best-in-class omnichannel customer experiences and driving sustainable change. We are a full-service universal bank and the third largest corporation in the Nordic region and one of the top 10 financial services companies in Europe based on market capitalisation. We are present in 17 countries, including our four Nordic home markets which together constitute the 10th…
Company
NordeaJob Posted
9 hours ago
Expires
in 3 weeks
Employment Type
Full Time
Work mode
Hybrid
Experience Level
Senior
Locations
Oeiras, Portugal
Paço de Arcos, Portugal
Applicants
Be an early applicant
Similar Jobs
Credentials Engineer
Stagiaire Développeur de Logiciels
Principal AI Systems Architect
ICT Program Director
ICT Program Director
