Data Engineer - Snowflake & AI-Driven Pipelines

Nordea

København

Ibrido

DKK 600.000 - 900.000

Tempo pieno

38 ore fa
Candidati tra i primi

Una candidatura completa in un minuto

Curriculum e lettera di presentazione personalizzati, pronti da inviare.

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Descrizione del lavoro

Nordea Asset Management is seeking a data engineer to accelerate a shift toward Snowflake and AI-enabled data engineering and analytics. You will join the Risk and Valuation value stream in building scalable data infrastructure and analytical solutions for risk management and valuation teams, enabling reliable insights from complex financial data.

You will collaborate with a cross-functional team, own parts of the SDLC, and contribute to evolving data platforms with modern stack components like

Competenze

  • Experience with Python in a data engineering capacity.
  • Experience with AI workflows for data engineering and analytics.
  • Experience with SQL.

Mansioni

  • Be an active contributor to value stream backlog refining.
  • Build data engineering pipelines on Snowflake to enable business outcomes.
  • Identify SDLC areas which can leverage AI enablement.
  • Contribute to migration of existing platform to Lakehouse.
  • Apply infrastructure as code to provision storage structures and access controls.
  • Collaborate in the cross functional team and the competence team.
  • Influence the business domain estate and engage in tech standards.

Conoscenze

Python
AI workflows
SQL

Strumenti

Snowflake
DBT
Apache Airflow
Kubernetes

Descrizione del lavoro

Nordea Asset Management is seeking a data engineer to accelerate a shift toward Snowflake and AI-enabled data engineering and analytics. You will join the Risk and Valuation value stream in building scalable data infrastructure and analytical solutions for risk management and valuation teams, enabling reliable insights from complex financial data.

You will collaborate with a cross-functional team, own parts of the SDLC, and contribute to evolving data platforms with modern stack components like

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