Data Engineer: AI-Driven Analytics & Data Platform

Munters-Ab-

Kista

Presencial

SEK 520 000 - 760 000

Tempo integral

Há 9 dias

Uma candidatura completa num minuto

Currículo e carta de apresentação personalizados, prontos a enviar.

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Resumo da oferta

Munters is seeking a curious and driven Data Engineer to transform data into business value. You will work with stakeholders to translate needs into scalable data models and help build a trusted data foundation for analytics, AI, and digital solutions.

The team values curiosity, collaboration, and a willingness to learn while growing technical skills across the data lifecycle. You will contribute to ingestion, transformation, modelling, and presentation, building end-to-end data capabilities and

Qualificações

  • 1–5 years of experience in data engineering, analytics engineering, BI or related field.
  • Passion for data, business value and stakeholder collaboration.
  • Strong interest in data modelling and well-structured, reusable data.
  • Curiosity, ownership and eagerness to learn new skills.
  • Experience with SQL and understanding of data transformation.

Responsabilidades

  • Understand business challenges with stakeholders and translate needs into data solutions.
  • Design clear, scalable and reusable data models.
  • Make trusted data available for reporting, analysis and decision-making.
  • Develop and maintain the next-generation data platform with the team.
  • Share knowledge and contribute to the team’s success.

Conhecimentos

SQL
Data modelling
Collaboration with stakeholders
Python
dbt
Airflow

Ferramentas

Power BI
Snowflake
Azure
AWS

Descrição da oferta de emprego

Munters is seeking a curious and driven Data Engineer to transform data into business value. You will work with stakeholders to translate needs into scalable data models and help build a trusted data foundation for analytics, AI, and digital solutions.

The team values curiosity, collaboration, and a willingness to learn while growing technical skills across the data lifecycle. You will contribute to ingestion, transformation, modelling, and presentation, building end-to-end data capabilities and

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