Data Engineering Leader for Global Operations
3 days ago
Seize the Opportunity to Drive Decision-Making
">We are expanding our data engineering team and seeking a skilled Senior Data Engineer to join our dynamic group. As part of our team, you will be at the forefront of developing and maintaining cutting-edge BI solutions that drive decision-making across 60+ locations worldwide.
You will play a key role in transitioning our data systems from an On-Premise SSIS-based BI system and Azure Data Platform (Azure Synapse) to Microsoft Fabric. You will work from our Danish headquarters, surrounded by talented colleagues who thrive on excellence and teamwork, always in close cooperation with the business.
Your Key Responsibilities:
- Design, develop, and maintain scalable data pipelines and architectures using Microsoft Fabric.
- Collaborate with cross-functional teams to understand data requirements and implement solutions that meet business needs.
- Implementing and optimizing data storage solutions with a focus on data warehousing.
- Leveraging Microsoft Fabric for efficient and scalable data processing.
- Ensuring data quality, integrity, and security throughout the data lifecycle.
- Troubleshooting and optimizing existing data infrastructure for performance and reliability.
About Us
Bunker Holding is a global leader in bunker trading, risk management, and physical operations. We have a presence in 66 offices across 32 countries and more than 1,500 specialized employees. Our main business areas include bunker trading, risk management, and physical operations (Bunker One).
Requirements
We are looking for someone with a strong background in data engineering and experience working with Microsoft Fabric. The ideal candidate will have a bachelor's or master's degree in computer science, information technology, or a similar field, and 5+ years of experience as a Data Engineer, preferably within the Azure ecosystem.
The candidate should have hands-on experience with data storage technologies, such as Spark, Databricks, and Delta Lake. Strong programming skills in languages like Python and SQL are also required. Experience in data modeling, ETL development, data storage, and data warehousing is essential.
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