Data Engineer

Samskip is one of the leading transport companies in Europe, handling thousands of international shipments weekly. With a presence in 24 countries across Europe, North America, Asia, and Australia, we’re at the forefront of sustainable, multimodal logistics solutions. Our team is dedicated to enhancing the customer experience while driving innovation in the transport sector.

We have a wide variety of complex data within Samskip, such as customer data, sensory data from our equipment and data from our business processes. The imperative is to turn this data into a strategic asset, organize smarter through data-driven decisions and develop innovative services. To achieve this, data must be brought together and made accessible. This will be your main challenge! Your job is to unlock all internal data as well as relevant external data and make it available within the organization. You will have a key role in a greenfield project to setup up a modern data platform in Azure to collect, store and process (big) data and streaming data. You have a lot of freedom and responsibility to define the structure and make technical choices yourself.

• Computer Science or Engineering education.
• Proven working experience as a Data Engineer
• Azure Data Engineer Associate certification or similar is a plus.
• Experience with databases, ETL frameworks, data models, containerization and data formats such as JSON and Parquet
• Transport/Logistics industry experience is a plus.
• Very good knowledge of SQL (MySQL, MSSQL, Oracle SQL, etc.)
• Good knowledge and understanding of Microsoft Azure features, in particular: storage services like Azure Data Factory and Azure Data Lake. Azure Data Factory knowledge is a plus.
• Good knowledge of Phyton scripting language
• Excellent command in spoken and written English

• Building, deploying,monitoringand managing data pipelines into Azure.
• Buildand implementefficientdeltaloadson allthesedata sources.
• Continuouslymonitorperformance and quality control plans toidentifyimprovements.
• Discover opportunities for data acquisition from other (external) sources.
• Employ scripting languages and tools to marry systems togetherand/or review existing integrations.
• Recommend and/or implement ways to improve data reliability, efficiency and quality of existing MSSQL and Oracle data sources.

• Competitive salary
• Yearly performance bonus
• Meal tickets
• Gift card for Easter and Christmas
• Illness prevention medical subscription at Regina Maria
• Public transport subscription
• 7Card membership
• Yearly budget for glasses and physical or psychological therapy
• Generous referral program award