(Senior) Data Engineer
We are looking for a (Senior) Data Engineer based in our Malaysia location to join the global Data Science & Engineering team in ROCKWOOL to support the development of our global data platform for factory data collecting datasets from IoT infrastructure from our plants. This role involves working on a platform built on Azure , leveraging Databricks , Airflow , Docker , Blob Storage , and MongoDB . You will address technical challenges, implement new features, streamline CI / CD pipelines , automate processes, and enhance governance and monitoring. We are also planning a migration to a new tech stack most likely based on Databricks, Azure EventHub and Kafka , and you may contribute to tasks related to the new platform in the future.
You will join the operational part of a global Data & AI team where you will collaborate with colleagues in Poland and Denmark. The operational team in Malaysia will contain data scientists, data engineers and ML engineers and there will be a lot of collaboration with other parallel teams in other locations.
Key Requirements
3-5+ years of experience in data engineering focused on data integration, ETL, and data warehousing,
Fluency in English (C1) .
Proactive and self-reliant in task execution.
Big Advantages
Experience with MongoDB and NoSQL databases .
Experience with data modeling ,
Other Expectations
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Senior Data Engineer • Subang Jaya City Council, Selangor, Malaysia