Data Engineer

Job Description

• 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.
• Expected to approach data from a cross-organizational perspective, promoting coherence and reuse across the enterprise.