Job Req Number: 70858 Time Type: Senior Data Engineer – Data Foundation Team (Hybrid) At DSV, we are on a journey to renew the Global Data and Analytics Platform that is being used by colleagues, customers and Business Partners in all Business Domains to get the most information out of available data. For the Data Foundation Team, we are looking for a Senior Data Engineer to support the team of currently 3 team members plus the Manager. As a Senior Data Engineer in Data Foundation Team, your major responsibilities will be: Manage and optimize cross department tools. Be a key member in cross data foundation implementation projects. Analyse existing applications and optimize their performance. Design and implement solutions that will support the development of our Operational Data Warehouse (ODW) in alignment with IT Architectural principles, guidelines, and standards. Develop and maintain scalable data pipelines for ingesting, processing, and transforming large volumes of data from various sources. Analyse requirements together with our different department teams and create effort estimations and implementation planning. Document and provide technical specifications for the implementations. Refine and promote our agile delivery framework to help ensure high quality and flexible deliverables on the data & BI platform. Support different department teams in a collaborative work environment. Actively transfer knowledge to other team members as well as the Operations & Support team. Skills & Competencies To perform the job successfully, you should demonstrate the following competencies: Analytical Skills: Possession of the ability for systematic and rational analysis to identify the root cause of problems. Delivery & Project Management: Experience with Agile methodology, and the ability to promote and facilitate deliveries accordingly. Conversational Skills: Being comfortable in international business communication, able to communicate openly and confidently. Personal Skills: Ability to work with different cultures and to manage cross functional interfaces. Required Experience: Bachelor's or master's degree in computer sciences, Data Science, Information Technology or a related field. 5-8 years of experience in BI/Data Engineering projects. Technical requirements: Expert knowledge of Microsoft's BI stack, namely Azure Datalake, Azure SQL Database/Azure Synapse, Azure Data Factory, DevOps, etc. Ability to monitor, troubleshoot, and optimize data pipelines for performance and reliability. Expert knowledge in profiling and tuning queries for efficiency. Expert knowledge in Databricks and PySpark/Scala/Spark SQL. Expert knowledge working with GIT. Expert knowledge of Agile methodology and CI/CD practices. Experience with task management tools (JIRA, Confluence). Expert knowledge of data governance principles to ensure data quality, lineage, and compliance. Languages Proficient Level of English (spoken and written) Our offer: Permanent contract Private medical care Food allowance Work schedule 35h/week Hybrid and flexible work (3 days in a week at the office) Comprehensive onboarding program DSV - Transporte Global e Logística A DSV é um local de trabalho dinâmico que promove a inclusão e a diversidade.
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