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Crea una Job Alert gratuita per cdi - data engineer - python / italia

Cdi - data engineer - python

Pubblicato il 15-08-2026 - Danfoss in Italia

The Impact You’ll Make As our Senior Data Engineer , you’ll play a key role in enabling energy‑efficient heating and cooling solutions to help reduce global emissions, mitigate climate change and drive cross‑divisional data insights for Danfoss Climate Solutions. Your impact? You will play a central role in advancing our data platform and data infrastructure, supporting energy‑efficient solutions for cooling and heating applications and data centers. You will work with data coming from multiple business departments, helping unify and operationalize it into a scalable ecosystem. You will also contribute hands‑on to technical decisions that shape how the platform evolves. You’ll collaborate across business verticals, data scientists, and engineering teams, while also playing a key role in communication and alignment across stakeholders to ensure smooth collaboration and strong team chemistry.



What You’ll Be Doing Build and optimize scalable data pipelines and data products using modern data engineering tools Develop and maintain data platform infrastructure with a strong focus on scalability and reliability Collaborate with stakeholders across business units and data science teams to define and deliver new features Integrate and harmonize data from multiple departments into a unified ecosystem Contribute to architectural and technical decisions, occasionally supporting hands‑on coding Evaluate and adopt emerging technologies to reduce data silos and improve the overall data ecosystem What We’re Looking For Proven experience in software development and data engineering with strong execution mindset Strong proficiency in SQL and Python; Go, Rust or Type Script is a plus Experience with orchestration tools such as Airflow, Mage, or Dagster Knowledge of stream processing tools like Kafka, NATS, Flink or similar Experience with Docker, Kubernetes and cloud platforms (Azure, AWS or GCP); Spark and Iceberg are a plus Experience working with time‑series databases such as Infl

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