Data Engineer
il y a 6 heures
Job Description • Candidates should bring 3–5+ years of practical experience in some of the following areas: • Working extensively with SQL Server. • Creating and maintaining data pipelines using Azure technologies — ideally Azure Databricks, but also Azure Data Factory, Azure Functions, Azure Stream/Log Analytics, and Azure DevOps. • Developing data workflows or enrichment processes in Python, particularly within a Databricks setup. • A willingness to explore and adopt new platforms or tools such as Redis, RabbitMQ, Neo4j, Apache Arrow, and others related to the data ecosystem. • Comfortable collaborating with business analysts and various stakeholders to clarify requirements and shape solutions that are reusable and well-integrated. • Ready to participate in thorough testing, aligned with DevOps practices and team reinforcement of quality standards. • Capable of producing clear, well-structured documentation for the solutions delivered. • Knowledge of Power BI is required. • Experience working with SAP data sources is beneficial but not essential. • Able to engage in constructive discussions, apply logical reasoning, and provide grounded, straightforward feedback when needed. • Languages: strong command of English is mandatory; fluency in German, French, or Dutch is considered an advantage. • Expected to approach data from a cross-organizational perspective, avoiding siloed thinking and promoting coherence and reuse across the enterprise. • Demonstrated ability to continuously improve processes and drive measurable outcomes. • Customer-focused mindset with an iterative and analytical approach to problem-solving and delivery. • A genuine team contributor who values respect, open communication, constructive challenge, innovation, and unified collaboration. • Product-oriented attitude and enthusiasm for sharing insights with the team or with other groups to contribute to overall product success.
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